Sem categoria

28/06/2025

14h20

Notícia

Self-assesment

The self-assessment of FURG's graduate programs is linked to institutional self-assessment and external assessment processes. At the institutional level, the Self-Assessment Committee (CPA), with the support of the Institutional Assessment Directorate, coordinates the self-assessment processes linked to the National Higher Education Assessment System (Sinaes) (Law No. 10,861, of April 14, 2004). In this context, students in master's and doctoral courses carry out an annual assessment of faculty members, considering the didactic aspects of the graduate teaching activities, and faculty members evaluate the classes, infrastructure, and management. The data produced are evaluated by the Self-Assessment Committee (CPA) and the Internal Assessment and Planning Committee (CIAP) of the Academic Units where the graduate courses are located, supporting the planning processes and the construction of the annual action plan of the Units, which are linked to the objectives and strategies of the Institutional Development Plan of FURG. These bodies are also coordinated with the Stricto Sensu Graduate Committee, formed by all the coordinators of the stricto sensu graduate courses and by the Graduate Directorate of the Pro-Rectory of Research and Graduate Studies. This Committee evaluates the demands of the programs, the results of the self-assessment and external assessment procedures, and the proposals for the creation of new courses, in addition to constituting a forum for the exchange of experiences, discussion, critical evaluation, and mutual assistance among the course coordinators. The Office of the Vice-President for Research and Graduate Studies also has an Advisory Committee, made up of experienced graduate faculty members, to evaluate and review Sucupira reports and to assess proposals for new courses. Furthermore, DIPOSG holds annual meetings with the Graduate Programs, focusing on programs with grades 3 and 4, for which the meetings involve the entire faculty.

In addition to these procedures, IN PROPESP No. 1/2024 specifically deals with the monitoring of strategic planning and self-assessment procedures of PPGs. Since 2023, the coordinators have been completing a report with information regarding the annual self-assessment of the PPG via sistemas.furg.br, which allows the Directorate of Graduate Studies (DIPOSG/PROPESP) and the Directorate of Institutional Assessment (DAI/PROPLAD) to monitor it. Furthermore, it allows PPGs to maintain a history of the internal assessment activities of their courses, which may support the preparation of the CAPES four-year report. Furthermore, to assist in the evaluation and planning procedures of each PPG, the Pro-Rectory of Research and Graduate Studies, in agreement with all PPGs, contracted the Stela Experta-PG Platform via PROAP resources, which allows coordinators to monitor the quantitative variables of their PPG, in addition to providing a comparative analysis with other PPGs, enabling the organization of guided Strategic Planning.

The PPGComp program for the Master's and Doctorate in Computer Engineering is unique in that it approaches Computing from a different perspective, unlike traditional Computer Science courses. We are interested in the scientific challenges associated with the creation of computational artifacts to solve complex problems. On the other hand, the course does not end with computer design, but rather has its core in the concept of algorithms and their efficient implementation. These two characteristics make PPGComp a unique program where new theories, methodologies, and applications must be proposed to solve complex problems of nature and engineering that today can only be addressed by computational devices.

The faculty is composed of a mix of professors with extensive experience in training human resources at the postgraduate level, productivity fellows, research group leaders, and young researchers with great potential, energy, and availability to face new challenges.

In this context, based on the evaluation of the last four years, and aiming to obtain a higher level of concept than the current one, the program's self-evaluation procedures were consolidated. These procedures are systematized, monitored, discussed, and improved in monthly PPGComp meetings. In addition, all evaluation metrics are calculated automatically using a set of software systems, some developed by the program itself.

1. Research Workshop of the Center for Computational Sciences. Held at the beginning of each four years, the event aimed to present an overview of the research of the academic unit since its creation and to analyze the integration of researchers over time, to motivate the engagement of newly hired professors, and to foster research activities. A tool developed by the Information Management Research Group was used to visualize the academic collaboration networks of the members of the groups registered in the CNPq directory and the relationships with the permanent members and collaborators of PPGComp. In addition, the evolution of scientific publications produced each year was demonstrated, and trend curves were analyzed. This workshop is one of the diagnostic tools for the strategic planning of the program presented in Section 1.3.

2. Annual self-assessment workshops. Organized in the second half of each year of the four years, the objective was to discuss the results and planning of actions related to scientific production and fundraising for the execution of research projects. Each professor of the program presented a list of submitted articles, containing the title, authors, publication vehicle, bibliometric indexes in international databases, Qualis stratum, and status (published, accepted for publication, under review, or rejected). A list of submitted projects was also presented, containing information on the title, team, notice or call, amount of funding, funding agency, and status (contracted, approved, under review, rejected). The results achieved are discussed by the members of the PPGComp and guide the planning of activities, considering the following two years, focusing on the number of students supervised, increase in scientific production, and fundraising, mainly financial. The submission of projects for the CNPq productivity grant call is also encouraged and planned by all members of the program, which resulted in the current composition, where one-third of the PPGComp professors are productivity grant holders, and the rest have merit, although they were not considered due to budgetary restrictions.

3. Assessment of postdoctoral leave. Since its creation, the Center for Computational Science has encouraged its staff to take time off for academic qualifications. During the four years, four PPGComp faculty members completed postdoctoral internships at the following institutions:
- Albert-Ludwigs-Universität Freiburg / Germany
- Universidad Pública de Navarra / Spain
- Austrian Institute of Technology - AIT, Austria;
- Universidade Federal do Rio Grande do Sul - UFRGS / Brazil.
These experiences enriched the research carried out in the areas of Robotics and Artificial Intelligence and effectively enhanced the internationalization of the program. Today, FURG has already established international agreements that have allowed student and researcher mobility between these institutions and the signing of joint projects. These collaboration networks have also benefited the supervision and co-supervision of international graduate students. The scientific production reports clearly show the significant increase in interaction with coauthors from these institutions in recent years.

4. Mid-term seminar. In early 2023, after two annual self-assessment workshops, PPGComp held a mid-term seminar to analyze the quantitative and qualitative indicators achieved up to the middle of the four years, mainly based on the analysis of the Computing Area Document and the discussions held by the Forum of Coordinators of Graduate Programs in Computing and the Brazilian Computer Society. Among the decisions taken at the seminar, the most notable were the greater rigidity in the program's permanence rules, the planning of the second two-year evaluation period, the longer-term strategic planning, and the process of re-accreditation of faculty members.

5. Re-accreditation of faculty members. The number of permanent faculty members and collaborators of the PPGcomp varied throughout the four years, as shown below:
2021 - 20 permanent faculty members + 1 collaborator = 26
2022 - 16 permanent faculty members + 5 collaborators + 1 visitor = 22
2023 - 16 permanent faculty members + 5 collaborators + 1 visitor = 22
2024 - 16 permanent faculty members + 5 collaborators = 21

Following the results of the 2017-2020 four-year assessment and the dismissal of two permanent professors, given their approval in a public selection process at another HEI, it was decided to carry out a new, even more rigorous re-accreditation process, based mainly on scientific production indicators, prioritizing the quality of intellectual production. In early 2021, professors were ranked according to their scientific production weighted by the number of co-authors, and only 16 professors were retained. Other evaluation criteria were also considered in the same period, such as: workload in PPGComp disciplines, number of projects coordinated with funding from companies, number of projects coordinated with funding from development agencies, number of dissertations defended, number of ongoing supervisions, productivity grants, among others. The vast majority of these indicators were highly correlated with weighted scientific production. In 2022, other calls for proposals were launched that resulted in the accreditation of 5 collaborators and the hiring of a visiting professor. It was also decided that there would be no new notices in the four-year period in order to keep the teaching staff more stable and analyze the performance of strategic planning.

It is worth noting that although the permanent faculty has been slightly changed, the 16 permanent faculty members who have been working since 2022 are a subset of the 20 professors from 2021.

This process contributed significantly to improving the quality of the program's research and scientific output.

COMPARATIVE EVALUATION WITH OTHER PPGs WITH DOCTORATE

The analysis presented below considers public data from 2021 to 2023 available on the Sucupira Platform in March 2025, comparing FURG's PPGComp with 40 other Graduate Programs of the academic modality evaluated in Computer Science, all with doctoral courses. There are 8 PPGs rated 7, 4 PPGs rated 6, 12 PPGs rated 5, and another 16 PPGs rated 4. PPGComp indicators are presented below, along with the median and position in the ranking when compared to the other programs. These complete results and graphical analyses can be consulted at https://sistemas.prpg.usp.br/apoema-pg/view/fa82b28847befee985cec1dbd8cbef6c. It is worth mentioning that this procedure was carried out annually, systematically, throughout the four years. The results were monitored in the Self-Assessment Workshops. The data presented below can be viewed graphically in Annex 08: Comparative analysis - Sucupira (2021-2023).pdf.

Student training indicators:
- Dissertations completed in the three years with scientific publication by students (Master's with publication) = 25; median = 28; position = 26
- Dissertations completed in the three-year period (Masters graduates) = 44; median = 48; position = 22
- Average number of dissertations per permanent advisor (Masters per permanent faculty member) = 0.85; median = 0.64; position = 9
- Average duration of the Master's degree (Time until defense) = 2.56 years; median = 2.85 years; position = 6
- Students enrolled in the Masters degree who have already completed = 42%, median = 33%, position = 8

The training indicators show that PPGComp produces more masters than half of the PPGs analyzed. Furthermore, it does not compromise the training time. Even though it only offers a master's degree compared to the other 40 programs, PPGComp is at the center of the distribution of master's with publications.

Scientific production indicators:

- Full papers in conferences = 234; median = 192; position = 13
- Full papers in conferences by permanent advisor = 4.5; median = 2.57; position = 3
- Distribution (Gini coefficient) of conferences by advisor = 0.43; median = 0.46; position = 12
- Annual average of journals weighted by Qualis and by permanent advisor (general index - Qualis strata A1 to B4, score relative to A1) = 1.61; median = 1.31; position = 12
- Distribution (Gini coefficient) of journals by advisor (restricted index - Qualis strata A1 to A4) = 0.46; median = 0.48; position = 16

Due to the fact that conferences do not have unique identifiers like journals, an automated analysis was performed comparing the conference titles extracted from the publications of all PPGs in the same evaluation period (2021-2023) and the titles extracted from the conference spreadsheet with Qualis in CA-CC available at https://ppgcc.github.io/discentesPPGCC/pt-BR/Qualis/. A software for approximate matching was developed, using textual similarity based on trigrams. The implementation made use of the pg_trgm.similarity() function available in the PostgreSQL DBMS. The similarity threshold was experimentally adjusted in order to minimize the error between the automated evaluation and the manual evaluation performed with the PPGComp data itself. The following indicators position PPGComp concerning the same 40 PPGs from the previous analysis. Bar graphs were generated and attached to this proposal to facilitate the visualization of the results, especially concerning the other PPGs.

- Annual average of papers in conferences weighted by Qualis and by permanent supervisor (general index - Qualis strata A1 to B4, score relative to A1) = 2.09; median = 1.38, position = 7

Analyzing journal articles in conjunction with conference papers:

- Annual average of journals + conferences weighted by Qualis and by permanent supervisor (weighted iGeral - Qualis strata A1 to B4, score relative to A1) = 3.7; median = 2.91; position = 7

It is worth noting that, for this comparative analysis, the indicators were calculated with all permanent faculty members, including PPJ and PPS. The reason for keeping these faculty members in the calculation is that it is not possible to know how many junior or senior researchers will be declared by the other 40 PPGs analyzed in addition to PPGComp.

The values presented show that PPGComp is among the best of the 41 programs analyzed, being much better than several PPGs rated 5, 6, and 7 in the various comparison criteria. In many of the criteria, it appears in the top positions of the ranking. It is one of the programs that publishes the most in conferences, but maintains a good rate of publications in qualified journals. It is worth mentioning that this comparison did not include the data from 2024 because these will only be publicly available after the Coleta is processed, after the submission of this report.

Regarding the distribution of productivity among faculty, the data show that PPGComp is at the top of the 2nd quartile, considering both journals and conferences. In other words, it is one of the programs that least depends on a small group of faculty members to make up the productivity indexes.

RESULTS OF QUANTITATIVE INDICATORS OF EVOLUTION IN THE FOUR YEARS

The following items present the results for each evaluation criterion, considering quantitative indicators. The data were calculated using the production registered in Sucupira in December 2024 (2021-2023 triennium) plus data from the Lattes CVs of PPGComp professors. It is worth mentioning that this same analysis was carried out in the mid-term seminar, and the monitored results were used to readjust the strategic planning, proposing actions for the second evaluation biennium.

- Permanent professors with post-doctorate degrees. We increased by 50%, going from 6 in 2020 to 9 in 2024. Today, there are already 11.

- CNPq productivity scholarship holders. We maintained the quantity but increased the quality, raising the level of two researchers, going from one PQ 1D level, one DT 1D level, two PQ 2 levels and one DT 2 level in 2020 to one PQ 1C level, one DT 1C level, two DT 2 levels and one PQ E level.

- Articles in journals (Qualis strata A1 to B4). The calculation of this and other indicators considered the Qualis estimate based on the current Scopus or WoS percentile.
[2017-2020] Annual average = 37.5
[2021-2023] Annual average = 42.3
Growth of 13% when compared to the previous evaluation period.

- Annual average of journals weighted by Qualis and by permanent advisor (weighted iGeral - Qualis strata A1 to B4, score relative to A1). Growth of 58% to the previous four-year period.
[2017-2020] Annual average of 1.02
[2021-2023] Annual average = 1.61

- Full papers in conferences (Qualis strata A1 to B4). Reduction in quantity by 27% when compared to the previous four-year period.
[2017-2020] Annual average = 107
[2021-2023] Annual average = 78
This reduction is justified because publishing efforts have focused on international conferences and high-impact journals, thus increasing quality over time, as demonstrated in the indicators with Qualis estimates.

- Annual average of conferences weighted by Qualis and by permanent supervisor (weighted iGeral, Qualis strata A1 to B4, score relative to stratum A1). Growth of 7% compared to the previous four-year period.
[2017-2020] Annual average = 1.96
[2021-2023] Annual average = 2.09

- Annual average of publications (journals + conferences) weighted by Qualis and by permanent advisor (weighted iGeral, Qualis strata A1 to B4, score relative to stratum A1). Growth of 26% to the previous four-year period.
[2017-2020] Annual average = 2.98
[2021-2023] Annual average = 3.75

- Number of active scholarship quotas.
2022 = 4 Capes DS + 1 CNPq + 12 projects = 17
2023 = 4 Capes DS + 3 CNPq + 20 projects = 27
2024 = 9 Capes DS + 2 CNPq + 15 projects = 28

Public funders of project grant quotas:
ANP
CAPES
CNPq
EMBRAPII
FAPESC
FURG

Private funders of project grant quotas:
Auros Robotics
Climeggi
Data For Company
DDOS
DENSO
Freedom
GoAwake
GreenNext
I. Melito LTDA
Insaight MedTech
Longevité
Medlife
Natubras
Petrobrás
R&F Tecnologia
Raiaviva
Sarmento
SEBRAE
STIHL
Tedesco
TuboMaq
UBOTS

- Number of ongoing research projects. Growth of 37% over the four years.
2021 - 66
2022 - 76
2023 - 80
2024 - 90
These projects represent a total of R$31,804,237.96 (thirty-one million, eight hundred and four thousand, two hundred and thirty-seven reais, and ninety-six centavos) invested in research and development activities by PPGComp professors in the four years.

- International agreements and collaborations: detailed in Section 3.3 Internationalization, insertion (local, regional, national) and visibility of the program.

DISCUSSION

The quality of research produced for a stricto sensu postgraduate course has as its main indicator the quantity and quality of intellectual production. These were the main criteria criticized in the evaluation in the 2014-2016 triennium and, precisely for this reason, they were the ones that received the most attention from the program since 2017. A great effort was made to increase qualified productions, detailed in the quantitative indicators presented above. During the last four-year evaluation, PPGComp demonstrated that its production rates were better than the average of courses with a score of 4. In these four years, the program further boosted the growth rate, presenting consistent indicators over the years. Currently, PPGComp is in the first and second quartiles of the distribution of most production indicators when compared to other PPGs with doctoral courses, ahead of many programs with scores of 5, 6, and 7.

The awards received by PPGComp faculty and students, detailed in Sections 2.2 and 3.1 of this report and the evaluation form appendix, also demonstrate the quality of the research carried out.

The number of R&D&I projects associated with different funding agencies and private companies has been growing rapidly. The accreditation of the iTec/FURG Unit - Center for Robotics and Data Science - https://www.itecfurg.org - with the Brazilian Company for Industrial Research and Innovation - EMBRAPII has allowed it to capture abundant financial resources for research, development, and innovation, which have practically doubled every year. All Itec/FURG projects rely on PPGComp faculty and students, which tends to increase significantly with the recently approved Doctorate course in Computer Engineering.

The international collaborations carried out within the scope of the research lines prove the PPGComp's decision to provide our students and faculty with opportunities to experience international excellence groups. In addition, the PPGcomp registered several exchange and internationalization actions in the four-year period, detailed in Section 3.3 Internationalization, insertion (local, regional, national) and visibility of the program.

The efficiency of student training is evidenced by the indicators number of master's degrees and average training time, which were excellent in the same comparative analysis. Regarding student training, the increase in interaction with undergraduate students is also noteworthy. This interaction is expressed by the large number of undergraduate students involved in research activities and the good distribution of publications with students, in addition to a significant and regular number of awards for these students.

Research involving technology transfer projects and the creation of startups at the OCEANTEC Technology Park, highlighted in Section 3.2 Economic, social, and cultural impact of the program, was also considered as a result of the self-assessment.

ASPECTS TO BE CONSIDERED

PPGComp's productivity results have continued to grow over the current four-year period. When compared to all PPGs with doctorates, regardless of grade, that is, including programs with grades 5, 6, and 7, PPGComp ranks in the top 2nd quartile for journals and in the 1st quartile for conferences. In addition to having a performance equivalent to consolidated national and international reference programs, the balance in the distribution of production among faculty members is better than in 3/4 of the programs with doctorates, considering both journals and conferences.

Despite all these excellent results, the coordination team identifies that scientific dissemination and the internationalization of the program should be improved. There are still a few visiting professors and foreign students. Goals, actions, and internationalization indicators were detailed in the strategic planning.

Comparative analysis - SCIndexBR(2025)

Comparative analysis - SMT Capes

Comparative analysis - Sucupira (2021-2023)

28/06/2025

13h59

Notícia

Strategic planning

The Federal University of Rio Grande – FURG is a university focused on coastal and oceanic ecosystems, and expresses its socio-environmental commitment and its alignment with local, regional, national, and global development, involving all areas of knowledge. The definition of the University's philosophy as focused on the coastal ecosystem has the virtue of understanding it as immediately committed to the community, thus exercising its relevant social function developed in the most diverse activities promoted by the Institution, whether its undergraduate courses, lato and stricto sensu graduate courses, or even research and extension activities.

FURG's strategic planning, instituted through the Institutional Pedagogical Project - PPI 2011-2023 and the PPI 2024-2033, establishes its philosophy; mission; vision; guidelines; guiding principles for teaching, research and extension; staff profile; student profile; assessment and planning; and strategic objectives, guiding the University's actions for periods of more than a decade. This long-term vision presupposes a periodic assessment every four or five years, summarized in the Institutional Development Plan – PDI, which expresses the guiding axes, objectives, strategies, and programs through which the different areas of activity of FURG seek to fulfill the mission, vision, and strategic objectives set out in the PPI.

The strategic planning of the postgraduate programs is linked to the Institutional Development Plan (PDI), which for the period 2019-2023 defined the following as its Mission: “to promote the advancement of knowledge and comprehensive education with excellence, training professionals capable of contributing to human development and improving socio-environmental quality” and as its Vision: “to consolidate its national and international image as a reference in education, technological development and the study of coastal and oceanic ecosystems”. The 2019-2023 PDI was built based on the process of institutional self-assessment collaboratively between staff, students, outsourced workers, and the external community, presenting a set of indicators in order to better direct and evaluate the University's actions in the current local, regional, national, and global scenario. In its Axis II - Postgraduate Education, the PDI defines three objectives: “1. Seek excellence in stricto sensu postgraduate courses; 2. Expand the offer of stricto sensu postgraduate courses; 3. Expand and qualify lato sensu postgraduate courses”. Thus, the university has among its goals the expansion of high-quality postgraduate courses, focusing mainly on stricto sensu courses.

Both the institutional Mission and Vision were evaluated and maintained under the same terms in the PDI 2024-2028, in order to guarantee the horizon of excellence desired for the development of the University as a whole. The objectives were broken down into numerous strategies that support and regulate the preparation of the annual action plans of the Pro-Rectory of Research and Graduate Studies (PROPESP) and the Academic Units responsible for managing the courses.

In this context, the Strategic Planning of the Programs is also aligned with PROPESP's Strategic Planning, established by its Normative Instruction No. 01/2020, which has among its objectives to systematize the Pro-Rector's Office's planning in the short, medium and long term, as well as to subsidize and equip the program coordinators to prepare and qualify their strategic plans.

In line with FURG's PDI and the ninth Sustainable Development Goal (SDG) of the United Nations (UN) - building resilient infrastructure, promoting inclusive and sustainable industrialization, and fostering innovation - PPGComp listed targets and indicators annually, for the period from 2021 to 2024. These targets and indicators were prepared by the coordination and the scientific committee. The main targets and results achieved each year are listed below.

2021

Goals:
- To promote technological innovation through postgraduate studies;
- To monitor changes in the Brazilian postgraduate evaluation system;
- To encourage increased productivity of new faculty members in the program;
- To strengthen scientific production at FURG;
- To qualify PPGComp for the creation of a doctoral course in Computer Engineering;
- To write and submit the doctoral course proposal (APCN);
- To promote actions to publicize the program within the computing community, increasing its visibility and demand.

Results:
- One professor was sent abroad for postdoctoral studies (Albert-Ludwigs-Universität Freiburg / Germany);
- An addendum to the iTec/FURG and EMBRAPII contract was signed, updating the maximum total value of the project portfolio to R$10,300,000.00 (ten million and three hundred thousand reais);
- Approval of the Institutional Collaboration Plan - PIC between the EMBRAPII iTec/FURG unit and the FURG Computational Science Center, which approves in advance PPGComp professors to work on iTec's RDI projects, establishing a weekly hour limit, without the need to consult the Academic Unit Council;
- Within the scope of iTec, PPGComp professors prepared 27 technical proposals for research, development and innovation projects, all of which included the participation of students from the program;
- Organization of the Brazilian Symposium on Intelligent Automation - SBAI 2021, the largest national event in the area of Automation.
- Participation in the meeting of the forum of coordinators of Postgraduate Studies in Computing at CSBC;
- Decision to update the program's research lines: (1) Fundamentals and Applications of Artificial and Computational Intelligence; (2) Robotics, Intelligent Automation and Computing Systems.

2022

Goals:
- To promote technological innovation through postgraduate studies;
- To monitor changes in the Brazilian postgraduate evaluation system;
- To encourage increased productivity of new faculty members in the program;
- To write and submit the doctoral course proposal (APCN);
- To promote actions to publicize the program within the computing community, increasing its visibility and demand.

Results:
- Removal of a professor for postdoctoral studies abroad (Universidad Pública de Navarra - UPNA, Spain);
- Signing of an addendum to the iTec/FURG and EMBRAPII contract, updating the maximum total value of the project portfolio to up to R$20,000,000.00 (twenty million reais);
- Amendment of the Institutional Collaboration Plan - PIC between the EMBRAPII iTec/FURG unit and the FURG Center for Computational Science, inserting new researchers, professors, and technicians;
- Submission of a doctoral proposal APNC 102/2023;
- Participation in the meeting of the forum of coordinators of Postgraduate Studies in Computing at the CSBC;
- Preparation of the proposal to organize the Conference on Graphics, Patterns and Images - SIBGRAPI 2023, SBC;
- Preparation of the proposal for organizing the Symposium on Virtual and Augmented Reality - SVR 2023, SBC;
- Preparation of the proposal for organizing the Brazilian Symposium on Games and Digital Entertainment - SBGames 2023, SBC;
- Carrying out the annual self-assessment workshop, with presentation of scientific production and planning of the actions of each teacher in the PPGComp.

2023

Goals:
- To promote technological innovation through postgraduate studies;
- To monitor changes in the Brazilian postgraduate evaluation system;
- To encourage increased productivity of new faculty members in the program;
- To write and submit the doctoral course proposal (APCN);
- To promote actions to publicize the program within the computing community, increasing its visibility and demand.

Results:
- Removal of a professor for postdoctoral studies abroad (Austrian Institute of Technology - AIT, Austria);
- Signing of an addendum to the iTec/FURG and EMBRAPII contract, updating the maximum total value of the project portfolio to up to R$35,100,000.00 (thirty-five million and one hundred thousand reais);
- Amendment of the Institutional Collaboration Plan - PIC between the EMBRAPII iTec/FURG unit and the FURG Computational Science Center, inserting new researchers, professors, and technicians;
- Submission of a new doctoral proposal APNC 615/2023;
- Participation in the Mid-Term Seminar meeting at CAPES, where comparative results of all PPGs calculated by CA-CC were presented (see ANNEX 10 - Comparative analysis - SMT Capes.pdf), which places FURG's PPGComp in an excellent position;
- Holding of the Conference on Graphics, Patterns and Images - SIBGRAPI 2023, of the Brazilian Computer Society;
- Holding of the Symposium on Virtual and Augmented Reality - SVR 2023, SBC;
- Holding of the Brazilian Symposium on Games and Digital Entertainment - SBGames 2023, SBC;
- Elaboration of the proposal for the organization of the Regional School of Computer Networks - ERRC 2024, of the Brazilian Computer Society
- Holding of the annual self-assessment workshop, with presentation of scientific production and planning of the actions of each teacher in the PPGComp.

2024

Goals:
- Strengthen scientific research (UN SDG);
- Improve the technological capabilities of industrial sectors (UN SDG);
- Increase the proportion of R&D workers in the country (UN SDG);
- Increase public and private spending on research and development (UN SDG);
- Promote actions to publicize the program among the computing community, enhancing its visibility and demand;
- Train human resources at the doctoral level.

Results:
- Removal of a professor for postdoctoral research (Federal University of Rio Grande do Sul - UFRGS);
- Signing of an addendum to the iTec/FURG and EMBRAPII contract, updating the maximum total value of the project portfolio to up to R$173,348,857.60 (one hundred and seventy-three million, three hundred and forty-eight thousand, eight hundred and fifty-seven reais, and sixty cents), to be consumed by 2030;
- Amendment of the Institutional Collaboration Plan - PIC between the EMBRAPII iTec/FURG unit and the FURG Computational Science Center, inserting new researchers and increasing the maximum workload in projects;
- Presentation of the PPGComp and the EMBRAPII unit to professors from other Academic Units and departments of FURG, aiming at future accreditation;
- Submission of an appeal against the negative decision on the doctoral proposal APNC 102/2023;
- Recommendation of the doctoral proposal APNC 615/2023 by CAPES;
- Change of the master's research lines and the program's regulations to align with the doctoral proposal approved by CAPES;
- Creation of the doctoral course in Computer Engineering, according to Resolution 228/2024 of the Council for Teaching, Research, Extension and Administration - COEPEA/FURG;
- Realization of the Regional School of Computer Networks - ERRC 2024, of the Brazilian Computer Society;

The PPGComp annual action plan, formally approved by the Center for Computational Sciences and the PROPESP Graduate Studies Directorate, which defines goals and actions considering this doctoral course proposal, is described in detail at the end of the Risk Analysis section.

ENVIRONMENTAL ANALYSIS - OPPORTUNITIES

The main objective of PPGComp's future planning is to continue improving the quality of research and, consequently, implement the doctoral course in Computer Engineering. To achieve this goal, we intend to work mainly on the axes described below, which summarize a set of opportunities:

1) Qualified teaching staff

The PPGComp faculty is highly qualified. The vast majority of faculty members have solid training in computing from national graduate programs at levels 6 and 7 or from major international research centers. Young, recently accredited faculty members benefit from the experience of five CNPq research productivity or technological innovation scholarship holders. Over the past ten years, the PPGComp faculty has consolidated the training of quality human resources at the master's level and already has a history of training at the doctoral level, from faculty members who also work in other programs in the area of interdisciplinary assessment and teaching.

2) Promotion based on partnerships with industries and technology-based companies

The current shortage of resources from government funding agencies and the national need for technology development provide an excellent opportunity for academia to get closer to the productive sector, collaborating with the development of technological and innovative artifacts. To this end, the aim is to bring PPGComp even closer to the OCEANTEC Technology Park, aiming to carry out dissertations and theses associated with technology-based companies currently operating in the park.

There is also a clear opportunity to encourage the creation of startups resulting from the projects, through participation in innovation competitions and proximity to the entrepreneurship training program carried out by the Pro-Rectory of Innovation and Information Technology at FURG and by SEBRAE.

Finally, we will continue to prospect and propose technical proposals and contracts, and work plans for industrial technological development projects at iTec/FURG, within the scope of the EMBRAPII unit. Accreditation with EMBRAPII, in an area directly associated with PPGComp, will take us to a new level in terms of, in addition to the possibility of self-financing, the ability to address real Brazilian demands in R&D, redefining the role of PPGComp in fostering the country's industrial development. This action also aims to increase student demand for the course, providing them with opportunities to get closer to the job market and attractive scholarships.

3) Partnerships and demands from Federal Institutes and other institutions in the region

Currently, several graduates of the PPGComp are professors at the Federal Institutes IFRS and IFSul. This partnership is quite interesting, since it is necessary to qualify these public servants to better provide services to society. Such a partnership could make it possible to offer interinstitutional stricto sensu postgraduate courses MINTER/DINTER. This opportunity could also be offered together with universities in Uruguay and Argentina, given the proximity and lack of stricto sensu postgraduate courses in the area of computing in neighboring countries. Currently, the Center for Computational Sciences at FURG offers a trinational Specialization in Robotics and Artificial Intelligence, the result of an international agreement with the Universidad Tecnológica - UTEC, in Uruguay, and with the Universidad Nacional de Rafaela (UnRaf), in Argentina. The PPGComp is considering the possibility of carrying out a joint MINTER program.

4) Brazilian market conditions in Computing

Since 2020, as a result of the state of emergency caused by the COVID-19 pandemic, the demand for technological solutions that allow companies to adapt to the digital environment and the Web has grown exponentially. Many companies have had to adapt in just a few months, heating the IT market very quickly.

The explosion of remote work opportunities has allowed students from the interior to apply for positions at companies established in metropolitan areas with much higher pay than the value of postgraduate scholarships. With the current crisis in public funding for research and postgraduate studies in Brazil, the booming market has allowed students to pursue a master's degree even without a scholarship.

Despite the reduction in the number of applicants for the PPGComp selection processes and the vast majority of postgraduate programs in computing in the country, the proximity to companies in other regions has allowed the promotion of technological development and innovation projects that directly apply the theories and models developed in the dissertations to products and society.

5) Encouraging the participation of new teachers in PPGComp

The FURG Computational Science Center has 42 professors with PhDs, all with excellent scientific training. By the end of 2024, only 16 will be part of the permanent faculty of PPGComp. There is a policy to encourage the participation of professors in the University's postgraduate programs. However, the program carries out a rigorous process of accreditation and re-accreditation of professors, ensuring the entry of new researchers without loss or interference in the quality of the course, especially in relation to productivity indicators.

THREATS

The main facts that threaten the development and growth of PPGComp are related to the current problems of postgraduate studies in the country.

1) Continuous reduction in public funding for research and postgraduate studies

Since 2014, CAPES and CNPq, the main funders of research and postgraduate studies in the country, have had their budgets significantly reduced. Consequently, the number of scholarships for PPGComp and the vast majority of postgraduate programs has been greatly reduced. In addition, the amount has been eroded by accumulated inflation, despite the last adjustment in 2023.

PPGComp relies on other sources of funding for projects with partner companies, but basic research in computing is hampered because researchers are not independent in choosing the research questions and hypotheses to be investigated.

2) Dropouts upon return to in-person teaching

Since the end of Remote Emergency Education at FURG on April 25, 2022, all teaching activities have returned to face-to-face. Some students who saw an opportunity to study for a master's degree remotely at a federal university with low investment now need to live in Rio Grande to complete the course. Some PPGComp students have indicated a high probability of dropping out from the next semester onwards, or are infrequent.

3) Funding for scientific publications

The open data policy adopted by many journals has shifted the cost of publishing research results and making articles available indefinitely, exclusively to the researcher. Furthermore, with the Real currency devalued against the Dollar and the Euro, the costs of maintaining the program's productivity have increased significantly, whether for publication in journals or for paying for event registrations, daily allowances, and travel. Unfortunately, iTec/FURG projects, funded by EMBRAPII, cannot cover travel costs for presenting papers.

RISK ANALYSIS

As detailed in the Initiatives and Goals field, PPGComp developed its strategic planning from 2017 to 2020 with a well-defined objective: obtaining a grade 4. In the first two years, the general objective was to approve the doctoral course, which ended up being recommended in 2024 by the Capes CTC. In the last two years, efforts were focused on obtaining a grade of 5. To this end, over the last few years, and in line with the PDI, several goals and indicators were proposed and evaluated. As a result, there were changes in the faculty, greater interest and participation of faculty in the PPGComp evaluation processes, and a better understanding of PPGComp's positioning concerning its peers.

The planning associated with the self-assessment allowed for a better diagnosis of the PPGComp in relation to the Brazilian postgraduate community in computing (see ANNEXES 08, 09 and 10), to allow for the clear definition of actions and indicators to be achieved to obtain a score of 5 in the evaluation of the last four years. It also clearly established a set of opportunities and threats to the good functioning and growth of the program. The risks associated with the threats were mapped and managed, according to the methodologies described in the fifth edition of the PMBOK published by the PMI, as described below.

Risk: Student dropout due to the reduction in the number of CAPES DS scholarships.
Probability: 75%
Impact: reduction in the scope of research projects, reduction in the number of research projects, difficulty in carrying out basic research in the area of computing, reduction in the quality of the results of the work
Priority: Very high
Strategy: Mitigate
Action: Submission to the institutional call for CNPq scholarships. Allocate students without a scholarship or who eventually lose their CAPES DS scholarship to a technological development and innovation project at iTec/FURG, EMBRAPII unit, with themes and technologies aligned with dissertation proposals and research topics, with remuneration paid for by the project.

Risk: Reduced demand for postgraduate education
Probability: 35%
Impact: Reduced internal competition (application rate based on the number of vacancies) and, consequently, reduced quality of work, reduced number of research projects, and intellectual output of the program.
Priority: Medium
Strategy: Mitigate
Action: Publicize and promote PPGComp and opportunities in iTec/FURG projects carried out in partnership with national industry companies, together with undergraduate courses at universities and federal education institutes in the southern region of Brazil. Organization of national events of the main scientific societies related to the research activities carried out (Brazilian Computer Society - SBC and Brazilian Society of Automation - SBA) to increase the dissemination of and demand for the course.

Risk: Increased dropout rates due to the return to in-person teaching
Probability: 10%
Impact: Reduction in the number of enrolled students, delay in obtaining and publishing results of research projects, cancellation of ongoing projects.
Priority: Low
Strategy: Mitigate
Action: Publicize and promote the city of Rio Grande - RS, FURG, the Center for Computational Sciences, PPGComp, and the EMBRAPII iTec/FURG unit in an integrated manner, presenting the opportunities and potential for training and employability resulting from this training. Financing with competitive scholarship amounts, highlighting the lower cost of living in the city of Rio Grande.

Risk: Accreditation of young PhDs will negatively impact productivity
Probability: 20%
Impact: Assessment of PPGComp at CAPES will be compromised
Priority: High
Strategy: Mitigate
Action: Develop a strategy for ongoing assessment of productivity indices. Review the annual action plan based on self-assessment. Encourage teamwork and publications within research groups, in order to make research independent of the institutions where the professors are pursuing their doctorates.

Risk: Increased publishing costs
Probability: 75%
Impact: Reduced productivity rates
Priority: High
Strategy: Mitigate
Action: Study the evolution of costs associated with publications over the last 5 years and consider subscription-based journals instead of open access. Seek to centralize publications in a few high-impact conferences to optimize the use of resources.

FUTURE PLANNING

Future planning has as its main objective to continue increasing the quality of research and, consequently, to implement the doctoral course in Computer Engineering. To achieve this objective, we intend to work on several axes:

1) Continue fostering partnerships with industries and technology-based companies. The current shortage of resources from government funding agencies and the national need for technology development provide an excellent opportunity for academia to get closer to the productive sector, collaborating with the development of technological and innovative artifacts. To this end, the aim is to bring PPGComp even closer to the OCEANTEC Technology Park through an agreement, aiming to carry out dissertations and theses associated with technology-based companies currently existing in the park. It is also to foster the creation of startups resulting from the projects, through participation in innovation competitions and the entrepreneurship training program carried out by the Technological Innovation Directorate of FURG and SEBRAE. Section 3 details the social impact of startups founded by PPGComp alumni and students. Finally, continue prospecting and signing contracts for industrial technology development projects by iTec/FURG, within the scope of the EMBRAPII unit. Accreditation with EMBRAPII, in an area directly associated with PPGComp, takes us to a new level in terms of, in addition to the possibility of self-financing, the ability to address real Brazilian demands in R&D, redefining the role of PPGComp in fostering Brazilian industrial development. This action also aims to increase student demand for the course, providing them with opportunities to get closer to the job market and attractive scholarships.

2) Establish a partnership with federal institutes in the region, such as IFRS and IFSul, to conduct MINTER and DINTER, since several graduates of PPGComp come from both Federal Institutes. This partnership is quite interesting, since it is necessary to qualify these public servants to better provide services to the community. The same idea can be applied to technicians at our university, FURG, as well as to universities in Uruguay, given the proximity and lack of stricto sensu postgraduate courses in the area of computing in the neighboring country. Currently, the FURG Center for Computational Sciences offers a trinational Specialization in Robotics and Artificial Intelligence, the result of an international agreement with the Universidad Tecnológica - UTEC, in Uruguay, and the Universidad Nacional de Rafaela - UNRaf, in Argentina.

3) Establish partnerships with municipal/state public schools, seeking to offer vacancies for teachers in continuing education, which encompasses the line of research in Educational Technologies, bringing the course closer to society. The Ideia project, within the scope of the Science in School Program, is an important action in this sense.

4) Evaluate the possibility of hybrid optional subjects (in-person and remote), as support for student training.

5) Following the example of previous years, maintain efforts to conduct international standard research, resulting in high-impact intellectual production, increasing productivity rates, and the quality of training.

6) Encouraging the participation of more faculty members in the PPGCOMP, since C3-FURG has 42 PhDs, all with highly qualified scientific training, but only 16 are part of the permanent staff, and another 5 are collaborators. The plan is to allow the inclusion of these faculty members based on a process of consolidation of the program, ensuring their entry without loss or interference in the quality of the master's and doctoral courses. In addition, the participation of international researchers as collaborators, working in teaching, research, and supervision, will be encouraged in order to increase the visibility, quality, and internationalization of the course.

At the end of the four-year period, the action plan for the year 2025 was established, defining a new set of goals and actions, in addition to the respective monitoring indicators:

Action Plan 2025

Goal 1. Increase PPGComp productivity rates by 20%

Action 1.1. Evaluate the performance of the program's scientific production

Indicators:
- Full papers in conferences with student participation
- Full papers in journals with student participation
- Articles in journals indexed in Scopus and WoS with percentile >= 50%
- Full papers in conferences indexed in Google Scholar Metrics with H5 >= 15

- Annual average of full papers in conferences weighted by Qualis and by permanent advisor (restricted index - Google Scholar H5 index >= 15)
- Annual average of journals indexed in Scopus or WoS weighted by Qualis and by permanent advisor (restricted index - percentile >= 50%)

Action 1.2. Evaluate faculty performance in relation to projects

Indicator: Ongoing R&D projects

Action 1.3. Refactor the software developed to automatically analyze PPGComp's scientific production in conferences

Indicator: Software published in the repository

Action 1.5. Perform program self-assessment

Indicator: Self-assessment report

Action 1.6. Conduct the annual program self-assessment workshop

Indicator: Self-assessment workshop held

Goal 2. Implement the doctoral course in Computer Engineering.

Action 2.1. Publish the notice of selection of regular students and offer the first class

Indicator: Notice published and registrations completed

Goal 3. Qualify the research carried out at PPGComp

Action 3.1. Obtain external financial resources for the development of RDI

Indicators:
- PhD scholarship holders hired
- IC scholarship holders hired
- Master's scholarship holders hired
- Research scholarship holders hired
- New projects with funding from public agencies
- New projects with funding from private institutions
- Total amount raised in projects (R$)

Action 3.2. Strengthen core scientific production

Indicators:
- Full papers in qualified conferences co-authored with non-accredited faculty
- Articles in qualified journals co-authored with non-accredited faculty

Action 3.3. Encourage the qualification of teachers to enable their entry as permanent teachers at PPGComp

Indicators:
- Post-doctoral leave
- New accredited professors

Action 3.4. Encourage the submission of articles for thesis and dissertation workshops at national events, which may replace the IT

Indicator: Articles in national test workshops and dissertations

Action 3.5. Encourage new PhDs to participate in research groups

Indicator: New PhDs in research groups

Action 3.6. Re-discuss the program's research lines

Indicator: PPGComp meeting minutes

Goal 4. Increase the attractiveness of PPGComp

Action 4.1. Attract students from the lato to the stricto sensu

Indicator: Communication actions

Goal 5. Promote the internationalization of PPGComp

Action 5.1. Encouraging the practice of the English language

Indicator: Subjects taught in English

Action 5.2. Evaluate courses taught in English

Indicator: Percentage of students who pass a course taught in English

Action 5.3. Encourage enrollment in optional foreign language courses

Indicator: Students enrolled in foreign language electives

Action 5.4. Translation of the PPGComp website

Indicator: Sites translated into English and Spanish

Action 5.5. Check conditions for a dual degree in undergraduate courses

Indicator: International agreements

Action 5.6. Strengthen partnership with the Secretariat of International Relations (REINTER)

Indicator: Minutes of meetings with REINTER

Action 5.7. Encourage the submission of articles for thesis and dissertation workshops at international events, which may replace the IT

Indicator: Papers in international test workshops and dissertations

Action 5.8. Encourage work in partnership with foreign institutions

Indicators:
- International agreements
- Research projects with ongoing international collaboration
- Full articles in conferences indexed in Google Scholar Metrics with foreign authors
- Articles in journals indexed in Scopus or WoS with foreign authors
- International collaborations
- Submissions to international calls for proposals
- Boards with the participation of foreign researchers
- Boards of foreign PPGs

Action 5.9. Publish a notice of accreditation of foreign collaborating teachers

Indicator: Accredited foreign teacher

Action 5.10. Hold a meeting with REINTER to provide advice on internationalization, including participation in university networks.

Indicator: Meetings held

28/06/2025

13h49

Notícia

Regulations and documents

Regulations and general rules

General Regulations of the Federal University of Rio Grande

General Regulations of the Stricto Sensu Graduate Programs of FURG

Regulations of the Center for Computational Sciences

Regulations of the Postgraduate Program in Computing

Internal rules for scheduling defenses

Guidelines for good practices in research and scientific integrity at FURG

Provides for the selection of students for vacancies in the FURG Affirmative Action Program

Internal rules on the distribution of students per PPGComp professor

About the CAPES DS scholarship

CAPES Ordinance No. 076/2010 - Regulation of the Social Demand Program - DS

CAPES Ordinance No. 133/2023 - Regulates the accumulation of CAPES scholarships with other income

CAPES Circular Letter No. 18/2023 - Amendment to the rules for the accumulation of scholarships in the country

PROPESP Normative Instruction No. 2/2023 - Regulates the accumulation of CAPES scholarships within the scope of FURG

Internal rule for the distribution of CAPES DS Scholarship Participation form (as a listener) in defense committee

In this manual you will find the necessary instructions on how and where to request requests regarding: Financial aid for students; Semiannual opinion of DS scholarship holder; Co-advisor registration; Change of supervision; Issuance of Diploma; Delivery of minutes and certificates; Registration; Scheduling of qualification or defense; Dismissal; Extension of deadline; Suspension; Suggestions and other useful information.

28/06/2025

12h16

Notícia

Defenses

DEFENSES IN ENGLISH

181st Master's Dissertation Defense Session - Videoconference
Master's student: Lucas de Souza Silva; Advisor: Prof. Dr. Rodrigo Andrade de Bem; Co-Advisor: Prof. Dr. Paulo Lilles Jorge Drews Junior
Title: " Soybean Weeds Segmentation using VT-Net: a Convolutional-Transformer Model "
Presentation date: 11/25/2024 at 1:30 p.m.

168th Master's Dissertation Defense Session - Videoconference
Master's student: Willian Borges de Lemos; Advisor: Prof. Dr. Silvia Silva da Costa Botelho; Co-advisor: Prof. Dr. Marcelo Rita Pias
Title: " Bridging the Gap: A Systematic Framework for Benchmarking Graph Neural Networks "
Presentation date: 10/31/2023 at 5:00 p.m.

167th Master's Dissertation Defense Session - Videoconference
Master's student: Lucas de Angelo Martins Ribeiro; Advisor: Prof. Dr. Nelson Lopes Duarte Filho; Co-advisor: Prof. Dr. Marcelo Rita Pias
Title: " Resource Profiling in the Training of Graph Neural Networks "
Presentation date: 10/23/2023 at 5:00 p.m.

157th Master's Dissertation Defense Session - Videoconference
Master's student: Pedro Miranda Pinheiro; Advisor: Prof. Dr. Paulo Lilles Jorge Drews Junior; Co-advisor: Prof. Dr. Armando Alves Neto
Title: " Trajectory planning of an aerial-underwater hybrid vehicle based on heuristics for energy efficiency "
Presentation date: 01/27/2023 at 8:00 am

156th Master's Dissertation Defense Session - Videoconference
Master's student: Lucas Caetano Meireles Pereira; Advisor: Prof. Dr. Nelson Lopes Duarte Filho; Co-advisors: Prof. Dr. Marcelo Rita Pias and Prof. Dr. Paulo Lilles Jorge Drews Junior
Title: " The not-so-easy task of taking heavy-lift ML models to the edge: a performance-watt perspective "
Presentation date: 01/16/2023 at 2:00 p.m.

126th Master's Dissertation Defense Session - Videoconference
Master's student: Jonata Cristian Wieczynski; Advisor: Prof. Dr. Graçaliz Pereira Dimuro; Co-advisor: Prof. Dr. Eduardo Nunes Borges
Title: " Generalizations of the Choquet Integral Applied to Classification and Decision Making Problems "
Presentation date: 01/20/2021, at 11:00 am

DEFENSES IN PORTUGUESE

192nd Master's Dissertation Defense Session - Videoconference
Master's student: Cleverton Bueno dos Santos Júnior; Advisor: Prof. Dr. Paulo Lilles Jorge Drews Júnior
Title: " Deep learning as support for task distribution algorithm "
Presentation date: 05/16/2025 at 1:30 p.m.

191st Master's Dissertation Defense Session - Videoconference
Master's student: João Mateus Daltro de Athayde; Advisor: Prof. Dr. Eduardo Nunes Borges
Title: " Injury Prediction in Crosstraining: A Comparative Study with Machine Learning Algorithms "
Presentation date: 04/24/2025 at 8:00 am

190th Master's Dissertation Defense Session -  Videoconference
Master's student: Joelson Sartori Junior; Advisor: Prof. Dr. Hélida Salles Santos
Title:  "Changing the attention mechanism in the Transformer architecture by applying (pre-)aggregation functions"
Presentation date: 03/26/2025 at  2:00 p.m.

189th Master's Dissertation Defense Session  -  Videoconference
Master's student: Fernando Brenner; Advisor: Prof. Dr. Diana Francisca Adamatti
Title:  "Art and Mental Disorders: application of machine learning in the works of Vincent Van Gogh"
Presentation date: 04/30/2025 at  2:00 p.m.

188th Master's Dissertation Defense Session -  Videoconference
Master's student: Leonardo Silveira Chagas; Advisor: Prof. Dr. Diana Francisca Adamatti
Title:  "Immersed in the Sea: an immersive game about ocean preservation"
Presentation date: 02/05/2025 at  1:30 p.m.

187th Master's Dissertation Defense Session -  Videoconference
Master's student: Leonardo Nunes Mendonça; Advisor: Prof. Dr. Vinícius Garcia Pinto
Title:  "Investigating the use of traffic engineering techniques on the Internet"
Presentation date: 02/25/2025 at  2:00 p.m.

186th Master's Dissertation Defense Session - Videoconference
Master's student: Rafael Tavares Guthes; Advisor: Prof. Dr. Eduardo Nunes Borges
Title: “Geometric Mapping and Pose Estimation in Offshore Crane Operations”
Presentation date: 02/17/2025 at 10:00 am

185th Master's Dissertation Defense Session - Videoconference
Master's student: Matheus Gonçalves Mateus; Advisor: Prof. Dr. Paulo Lilles Jorge Drews Junior
Title: “Next-Best Viewpoint Planning with Multi-domain Images Based on Deep Reinforcement Learning”
Presentation date: 12/13/2024 at 1:30 p.m.

184th Master's Dissertation Defense Session
Master's student: Lucas Silva Marca ; Advisor: Prof. Dr. Eder Mateus Nunes Gonçalves; Co-advisor Prof. Dr. Eduardo Nunes Borges
Presentation date: 12/17/2024 at 2:00 p.m.
*Dissertation defense in confidence, for the purposes of protecting intellectual property, according to the process authorized by the PPGComp Coordination and the Intellectual Property and Technology Transfer Office (PROITI/FURG).

183rd Master's Dissertation Defense Session - Videoconference
Master's student: Everson da Silva Flores; Advisor: Prof. Dr. Marcelo Rita Pias
Title: " Reliable Image Transmission in Pub/sub for IoT "
Presentation date: 11/29/2024 at 9:00 am

182nd Master's Dissertation Defense Session - Videoconference
Master's student: Cristiano de Moura Borges; Advisor: Prof. Dr. Paulo Francisco Butzen; Co-advisor:  Dr. Rafael Budim Schvittz
Title:  " Impact of Radiation in CMOS Sequential Circuits "
Presentation date: 11/28/2024 at  1:30 p.m.

180th Master's Dissertation Defense Session - Videoconference
Master's student: Christian Giménez Barañano; Advisor: Prof. Dr. Adriano Veslasque Wehrli
Title: "Machine Learning for Predicting Sequelae of Patients Diagnosed with COVID-19"
Presentation date: 11/19/2024 at 4:00 p.m.

179th Master's Dissertation Defense Session
Master's student: Marcos Villela Rodrigues; Advisor: Prof. Dr. Vinicius Menezes de Oliveira
Presentation date: 10/23/2024 at 3:00 p.m.
*Dissertation defense in confidence, for the purposes of protecting intellectual property, according to the process authorized by the PPGComp Coordination and the Intellectual Property and Technology Transfer Office (PROITI/FURG).

178th Master's Dissertation Defense Session - Videoconference
Master's student: Victor Barros Coch; Advisor: Prof. Dr. Vinicius Menezes de Oliveira
Title: " Modeling, Simulation and Control of an Omnidirectional Robotic Platform for Application in Gait Training "
Presentation date: 10/24/2024 at 2:00 p.m.

177th Master's Dissertation Defense Session -  Videoconference
Master's student: Lucas Viana da Silva; Advisor: Prof. Dr. Paulo Lilles Jorge Drews Junior
Title:  "Quality Assessment in Technical Document Images using Metrics Fusion"
Presentation date: 09/27/2024 at  2:30 p.m.

176th Master's Dissertation Defense Session - Videoconference
Master's student: Thomaz Pereira da Silva Junior; Advisor: Prof. Dr. Paulo Lilles Jorge Drews Junior
Title: "Comparison between different types of activation function in a neural cascade controller for a hydraulic actuator"
Presentation date: 08/27/2024 at 10:00 am

175th Master's Dissertation Defense Session - Videoconference
Master's student: Jair Orlando Gonzales Carmona ; Advisor: Prof. Dr. Eduardo Nunes Borges ; Co-advisor: Prof. Dr. Rafael Alceste Berri
Title: “Performance of a correction factor in the price prediction of PETR4, ITSA and VALE3 stocks using recurrent neural networks” Presentation date: 08/14/2024 at 2:00 p.m.

174th Master's Dissertation Defense Session - Videoconference
Master's student: Derlain Monteiro de Lemos ; Advisor: Prof. Dr. Regina Barwaldt ; Co-advisor: Prof. Dr. Carlos Rodrigues Rocha
Title: “ Accessible Teaching Resources with a Focus on Visual Impairment: an approach based on the Internet of Things”
Presentation date: 08/09/2024 at 10 am

173rd Master's Dissertation Defense Session - Videoconference
Master's student: Maurício Dorneles Caldeira Balboni ; Advisor: Prof. Dr. Karina dos Santos Machado; Co-advisor: Adriano Velasque Werhli
Title: “ Comparison of Ensemble of Scoring Functions in Protein-Ligand Molecular Docking
Presentation date: 03/21/2024 at 2:00 p.m.

172nd Master's Dissertation Defense Session -  Videoconference
Master's student: Igor Pardo Maurell; Advisor: Prof. Dr.  Paulo Lilles Jorge Drews Junior
Title: “Fitting Geometric Primitives to Large-Scale Point Clouds using Deep Learning”
Presentation date: 02/16/2024  at 2:00 p.m.

171st Master's Dissertation Defense Session - Videoconference
Master's student: Eric Laurino Gondran; Advisor: Prof. Dr. Hélida Salles Santos; Co-advisor: Prof. Dr. Eduardo Nunes Borges
Title: "Analysis of the determining characteristics for the good performance of Engineering graduates in ENADE"
Presentation date: 12/27/2023 at 9 am

170th Master's Dissertation Defense Session - Videoconference
Master's student: Edwilson Silva Vaz Junior; Advisor: Prof. Dr. Paulo Lilles Jorge Drews Junior
Title: "Classification of Water Types in Underwater Monocular Images"
Presentation date: 12/18/2023 at 8:30 am

169th Master's Dissertation Defense Session - Videoconference
Master's student: Vinícius Simões Pedro; Advisor: Prof. Dr. Paulo Francisco Butzen; Co-advisor: Prof. Dr. Vagner Santos da Rosa
Title: "Consumption Estimation Model for Applications in Smart Farms with Energy Harvesting"
Presentation date: 12/07/2023 at 2:00 p.m.

166th Master's Dissertation Defense Session - Videoconference
Master's student: Leonardo da Silva Correa; Advisor: Prof. Dr. Vinicius Menezes de Oliveira
Presentation date: 09/13/2023 at 2:00 p.m.
*Dissertation defense in confidence, for the purposes of protecting intellectual property, according to the process authorized by the PPGComp Coordination and the Intellectual Property and Technology Transfer Office (PROITI/FURG).

165th Master's Dissertation Defense Session - Videoconference
Master's student: Timotio Capitão Cubaque; Advisor: Prof. Dr. Eder Mateus Nunes Gonçalves; Co-advisor: Prof. Dr. Diana Francisca Adamatti
Title: "Proposal for Spatial Data Analysis Using Heuristic Methods and Ensemble Technique: A case study of routing a fleet of vehicles"
Presentation date: 09/06/2023 at 10 am

163rd Master's Dissertation Defense Session - Videoconference
Master's student: Vitor Mendes Magalhães; Advisor: Prof. Dr. Eduardo Nunes Borges; Co-advisor: Prof. Dr. Alessandro de Lima Bicho
Title: "Prediction of wood moisture content variation through Machine Learning"
Presentation date: 08/28/2023 at 10 am

162nd Master's Dissertation Defense Session - Videoconference
Master's student: Vinicius Leite de Garcia; Advisor: Prof. Dr. Emanuel da Silva Diaz Estrada; Co-advisor: Prof. Dr. Rodrigo Zelir Azzolin
Title: "Design of a mobile robot for navigation in pipes with circular and rectangular cross-sections"
Presentation date: 08/09/2023 at 9:30 am

161st Master's Dissertation Defense Session - Videoconference
Master's student: Vinicius Vasconcelos Maurente; Advisor: Prof. Dr. Emanuel da Silva Diaz Estrada; Co-advisor: Prof. Dr. Ulisses Brisolara Corrêa
Title: "Computer Vision System for Corrosion Detection in Carbon Steel Structures"
Presentation date: 07/25/2023 at 2:30 p.m.

160th Master's Dissertation Defense Session - Videoconference
Master's student: Patricia Almeida da Silva; Advisor: Prof. Dr. Regina Barwaldt; Co-advisor: Prof. Dr. Giancarlo Lucca
Title: "Application for the Vehicle Routing Problem in Last Mile Delivery based on traditional algorithms and Loggi BUD Benchmark"
Presentation date: 05/31/2023 at 3:00 p.m.

159th Master's Dissertation Defense Session - Videoconference
Master's student: Isadora Martins dos Santos; Advisor: Prof. Dr. Regina Barwaldt
Title: "ISA - Sentient Assistant Integrated into the FURG AVA"
Presentation date: 05/26/2023 at 9:30 am

158th Master's Dissertation Defense Session - Videoconference
Master's student: Junior Costa de Jesus; Advisor: Prof. Dr. Paulo Lilles Jorge Drews Junior; Co-Advisor: Prof. Dr. Rodrigo da Silva Guerra
Title: "Deep Reinforcement Learning for Mapless Navigation of a Hybrid Air-Water Vehicle using Images"
Presentation date: 02/03/2023 at 8:30 am

155th Master's Dissertation Defense Session - Videoconference
Master's student: Rodrigo Abrantes Antunes; Advisor: Prof. Dr. Paulo Lilles Jorge Drews Junior; Co-Advisor: Prof. Dr. Bruno Lopes Dalmazo
Title: "Detection of Data Injection Attacks in ROS Systems via Network Traffic Anomalies"
Presentation date: 01/18/2023 at 8:30 am

154th Master's Dissertation Defense Session - Videoconference
Master's student: Débora Debiaze de Paula; Advisor: Prof. Dr. Silvia Silva da Costa Botelho; Co-advisors: Dr. Felipe Codevilla Moraes and Prof. Dr. Ricardo Nagel Rodrigues
Title: "Use of Deep Learning for Underwater Image Transmission Coding"
Presentation date: 12/21/2022 at 10:30 am

153rd Master's Dissertation Defense Session - Videoconference
Master's student: Paulo Felipe Gonzalez Lopez Rodrigues; Advisor: Prof. Dr. Eder Mateus Nunes Gonçalves; Co-advisor: Prof. Dr. Diana Francisca Adamatti
Title: "Model for knowledge transfer in agent organizations: A case study in Moise+"
Presentation date: 09/22/2022 at 10 am

152nd Master's Dissertation Defense Session
Master's student: Tiago Fossati Otero; Advisor: Prof. Dr. Regina Barwaldt
Title: "Teaching and learning strategies based on agile methodologies"
Presentation date: 08/30/2022 at 9 am

151st Master's Dissertation Defense Session
Master's student: André Luiz da Silva Kelbouscas; Advisor: Prof. Dr. Vinicius Menezes de Oliveira
Title: "Kinematic Tracking of Upper Limbs with Applications in Assistive Robotics"
Presentation date: 08/30/2022 at 9 am

150th Master's Dissertation Defense Session - Videoconference
Master's student: Gabriel Lavoura dos Santos; Advisor: Prof. Dr. Nelson Lopes Duarte Filho
Title: "A multitasking-based approach to Form Understanding applied to technical engineering documentation"
Presentation date: 08/18/2022 at 9:00 am

149th Master's Dissertation Defense Session - Videoconference
Master's student: Janaina Adolfo da Silva; Advisor: Prof. Dr. Graçaliz Pereira Dimuro
Title: "News Check: News headline classification tool using data mining"
Presentation date: 05/30/2022 at 8:00 am

148th Master's Dissertation Defense Session - Videoconference
Master's student: Carlos Nunes Ramos; Advisor: Prof. Dr. Graçaliz Pereira Dimuro
Title: "Analysis of the fake news phenomenon on the web and human and computational factors for its circulation"
Presentation date: 05/30/2022 at 10 am

147th Master's Dissertation Defense Session - Videoconference
Master's student: Mario Ricardo Nascimento Marques Junior; Advisor: Prof. Dr. Eder Mateus Nunes Gonçalves
Title: "OntoToT: An Ontology for Completeness and Compliance Checking in Oil Industry Documents"
Presentation date: 03/25/2022 at 10:00 am

146th Master's Dissertation Defense Session -  Videoconference
Master's student: Clayton Rodrigues Farias; Advisor: Prof. Dr. Paulo Francisco Butzen
Title: "Procedure for estimating the radiation susceptibility of combinational circuits"
Presentation date: 03/31/2022 at  9:00 am

145th Master's Dissertation Defense Session - Videoconference
Master's student: Giulia Tondin Monteiro; Advisor: Prof. Dr. Diana Francisca Adamatti
Title: "Brain-computer interface integrated with a serious game for attention training"
Presentation date: 03/11/2022 at  1:30 pm

144th Master's Dissertation Defense Session - Videoconference
Master's student: Larissa e Silva Gomes; Advisor: Prof. Dr. Silvia Silva da Costa Botelho
Title: "A model for evaluating the similarity of alphanumeric strings resulting from the optical character recognition process"
Presentation date: 03/03/2022 at  10:30 am

143rd Master's Dissertation Defense Session -  Videoconference
Master's student:  Leonardo  Pires  de Souza; Advisor: Prof. Dr. Emanuel da Silva Diaz Estrada; Co-advisor: Prof. Dr. Rodrigo Zelir Azzolin
Title: "Modeling, Identification and Compensation of Friction via Artificial Neural Networks of Direct Current Motor Presenting Dead Zone"
Presentation date: 11/30/2021 at  9:00 am

142nd Master's Dissertation Defense Session - Videoconference
Master's student: Gabrielle Almeida Duarte; Advisor: Prof. Dr. Paulo Lilles Jorge Drews Junior; Co-advisor: Prof. Dr. Eder Mateus Nunes Gonçalves
Title: "Hybrid Dynamic Modeling Applied to Agricultural Boom Sprayers with On/Off Application Technology"
Presentation date: 10/11/2021 at 4:00 p.m.

141st Master's Dissertation Defense Session - Videoconference
Master's student: Vinícius Borges Martins; Advisor: Prof. Dr. Diana Francisca Adamatti; Co-Advisor: Prof. Dr. Raquel de Miranda Barbosa
Title: "GorimWEB: an RPG for Water Resources Management on the Web platform"
Presentation date: 11/17/2021 at 2:00 p.m.

140th Master's Dissertation Defense Session - Videoconference
Master's student: Sibyla Andreuchetti Vioto e Silva; Advisor: Prof. Dr. Vinicius Menezes de Oliveira
Title: "Trajectory Planning for Robot-Assisted Therapy for Upper Limbs"
Presentation date: 08/27/2021 at 6:00 p.m.

139th Master's Dissertation Defense Session - Videoconference
Master's student: Vanessa Telles da Silva; Advisor: Prof. Dr. Nelson Lopes Duarte Filho; Co-advisor: Prof. Dr. Marcelo Rita Pias
Title: "Graph Neural Networks: A data benchmarking and node classification methods"
Presentation date: 08/30/2021 at 2:30 p.m.

138th Master's Dissertation Defense Session - Videoconference
Master's student: Patrick da Silva Baldez; Advisor: Prof. Dr. Silvia Silva da Costa Botelho
Title: "A study on the influence of turbidity on the automatic visual inspection of weld beads in subsea images"
Presentation date: 08/27/2021 at 10:30 am

137th Master's Dissertation Defense Session - Videoconference
Master's student: Thiago Ferreira Dantas; Advisor: Prof. Dr. Diana Francisca Adamatti; Co-advisor: Prof. Dr. Cleo Zanella Billa
Title: "An Architecture for Agents Using Emotions and Memory"
Presentation date: 05/25/2021 at 09:00

136th Master's Dissertation Defense Session - Videoconference
Master's student: Talita Alves Borges; Advisor: Prof. Dr. Cristina Meinhardt; Co-advisor: Prof. Dr. Leonardo Bandeira Soares (IFRS)
Title: "Exploring Approximate Computing Techniques for the Design of an Energy-Efficient Gaussian Filter"
Presentation date: 06/01/2021 at 1:30 p.m.

135th Master's Dissertation Defense Session - Videoconference
Master's student: Carlos Eduardo Nascimento Pinheiro; Advisor: Prof. Dr. Emanuel da Silva D. Estrada; Co-advisor: Prof. Dr. Vagner Santos da Rosa
Title: "Photometric identification system for red rice with husk"
Presentation date: 05/06/2021 , at 10 am

134th Master's Dissertation Defense Session - Videoconference
Master's student: Alice Tissot Garcia; Advisor: Prof. Dr. Eduardo Nunes Borges; Co-advisor: Prof. Dr. Vinicius Menezes de Oliveira
Title: "Use of RGB-D Camera for Detection of Trunk Compensatory Movements"
Presentation date: 04/28/2021 , at 9 am

133rd Master's Dissertation Defense Session - Videoconference
Master's student: Patricia Padula Lopes; Advisor: Prof. Dr. Adriano Velasque Werhli; Co-advisors: Prof. Dr. Karina dos Santos Machado; Prof. Dr. Andrej Aderhold
Title: "An Ensemble Learning approach to improve the prediction of binding free energy between protein-ligand complexes"
Presentation date: 04/29/2021 , at 5:00 p.m.

132nd Master's Dissertation Defense Session - Videoconference
Master's student: Ricardo Bedin Grando; Advisor: Prof. Dr. Paulo Lilles Jorge Drews Junior
Title: "Deep Reinforcement Learning for Mapless Navigation of a Hybrid Air-Water Vehicle"
Presentation date: 04/19/2021, at 1:30 p.m.

131st Master's Dissertation Defense Session - Videoconference
Master's student: Leonardo Lucchesi da Cunha Guimarães; Advisor: Prof. Dr. Adriano Velasque Werhli; Co-advisor: Prof. Dr. Vinicius Menezes de Oliveira
Title: "Assistive Robotics: Using Kinect for Upper Limb Rehabilitation"
Presentation date: 02/26/2021, at 2:00 p.m.

130th Master's Dissertation Defense Session - Videoconference
Master's student: Rodrigo Sousa e Silva; Advisor: Prof. Dr. Rodrigo Zelir Azzolin
Title: "ADAPTIVE IP FOR REDUCING EFFORTS ON WIND TURBINES"
Presentation date: 02/25/2021, at 10 am

129th Master's Dissertation Defense Session - Videoconference
Master's student: Richard Nunes Machado; Advisor: Prof. Dr. Regina Barwaldt; Co-advisor: Prof. Dr. André Luis Castro de Freitas
Title: "C3SIM: Proposal for a portable 3D Educational Environment for use in Basic Education"
Presentation date: 02/23/2021, at 10 am

128th Master's Dissertation Defense Session - Videoconference
Master's student: Bruna de Vargas Guterres; Advisor: Prof. Dr. Silvia Silva da Costa Botelho; Co-advisor: Prof. Dr. Juliana Zomer Sandrini
Title: "Bivalve molluscs as biosensors of aquatic pollution"
Presentation date: 02/19/2021, at 11:00 am

127th Master's Dissertation Defense Session - Videoconference
Master's student: Stefane Vieira Menezes; Advisor: Prof. Dr. Regina Barwaldt; Co-advisor: Prof. Dr. André Luis Castro de Freitas
Title: "Virtual Reality as Assistive Technology to develop daily living skills in children diagnosed with Autism Spectrum Disorder"
Presentation date: 02/26/2021, at 2:00 p.m.

125th Master's Dissertation Defense Session - Videoconference
Master's student: Douglas Machado Borges; Advisor: Prof. Dr. Cristina Meinhardt; Co-advisor: Prof. Dr. Vagner Santos da Rosa
Title: "Exploring Techniques for Optimizing the Energy Efficiency of Multiplier Circuits"
Presentation date: 12/21/2020, at 1:00 p.m.

124th Master's Dissertation Defense Session - Videoconference
Master's student: Marta dos Anjos Duarte; Advisor: Prof. Dr. Silvia Silva da Costa Botelho
Title: "Non-Invasive Thermographic Model for Inspection of Pipeline Obstruction in the Fertilizer Industry"
Presentation date: 11/11/2020, at 2:30 p.m.

123rd Master's Dissertation Defense Session - Videoconference
Master's student: Paulo Cesar Ramos Pinho; Advisor: Prof. Dr. Regina Barwaldt
Title: "Model of Strategies in Recommendations to optimize the search results in Bibliographic Collections"
Presentation date: 11/17/2020, at 9:00 am

122nd Master's Dissertation Defense Session - Videoconference
Master's student: Everaldo de Avila Gomes Junior; Advisor: Prof. Dr. Odorico Machado Mendizabal
Title: "Reducing the cost of durability in State Machine Replication through partitioned checkpoints"
Presentation date: 09/16/2020, at 10 am

121st Master's Dissertation Defense Session - Videoconference
Master's student: Juliana Veiga dos Santos; Advisor: Prof. Dr. Vinicius Menezes de Oliveira
Title: "Simulation of Muscle Model from Surface EMG"
Presentation date: 08/31/2020, at 3:00 p.m.

120th Master's Dissertation Defense Session - Videoconference
Master's student: Ingrid Fortes Vasconcelos Oliveira; Advisor: Prof. Dr. Paulo Francisco Butzen
Title: "Analysis of the robustness of majority voters in the presence of transient faults in TMR and ATMR architectures"
Presentation date: 08/24/2020, at 1:15 p.m.

119th Master's Dissertation Defense Session - Videoconference
Master's student: Giulia Bordignon Silveira; Advisor: Prof. Dr. Diana Francisca Adamatti
Title: "Reprograma: an agent-based social simulation for analyzing gender inequalities in technology"
Presentation date: 08/31/2020, at 3:00 p.m.

118th Master's Dissertation Defense Session - Videoconference
Master's student: Marla Rosana Pereira Melo; Advisor: Prof. Dr. Diana Francisca Adamatti
Title: "Data mining in the natural resources management domain: strategy discovery in an RPG"
Presentation date: 03/30/2020, at 2:00 p.m.

117th Master's Dissertation Defense Session - Videoconference
Master's student: Marcos Ceron Gonçalves; Advisor: Prof. Dr. André Luiz de Castro Freitas; Co-advisor: Prof. Dr. Eder Mateus Nunes Gonçalves
Title: "Formative assessment model of learning with gamification in the Moodle tool: a case study for Engineering teaching"
Presentation date: 03/24/2020, at 1:30 p.m.

116th Master's Dissertation Defense Session - Videoconference
Master's student: Oscar Emilio Arrúa Arce; Advisor: Prof. Dr. Karina dos Santos Machado; Co-advisors: Prof. Dr. Adriano Velasquez Werhli and Prof. Dr. Andrej Aderhold
Title: "Machine learning-based scoring function for protein-ligand molecular docking"
Presentation date: 03/24/2020, at 09:30

115th Master's Dissertation Defense Session

Master's student: Marcio Oliveira da Rocha; Advisor: Prof. Dr. Paulo Francisco Butzen; Co-advisor: Prof. Dr. Denis Teixeira Franco

Title: "ANALYSIS OF THE RELIABILITY OF COMBINATIONAL CIRCUITS WHEN PROTECTING CRITICAL GATES OF THE CIRCUIT"

Presentation date: 03/13/2020, at 3:30 pm

114th Master's Dissertation Defense Session

Master's student: Luiz Oscar Homann de Topin; Advisor: Prof. Dr. Regina Barwaldt

Title: "CONVOLUTIONAL NEURAL NETWORKS AND THEIR ASSISTIVE APPLICATION AS AN AID FOR IDENTIFYING ALGEBRAIC CURVES IN THE CARTESIAN PLANE"

Presentation date: 03/19/2020, at 2:30 p.m.

113th Master's Dissertation Defense Session

Master's student: Fabio Pedrotti Terra; Supervisor: Prof. Dr. Paulo Lilles Jorge Drews Junior

Title: "DEVELOPMENT OF A LOW-COST PROTOTYPE FOR AUTOMATION OF AGRICULTURAL SPRAYERS"

Presentation date: 03/11/2020, at 1:30 pm

112th Master's Dissertation Defense Session

Master's student: Myke Morais de Oliveira; Supervisor: Prof. Dr. Danúbia Bueno Espíndola; Co-supervisor: Prof. Dr. Marcelo Rita Pias

Title: "THE USE OF MACHINE LEARNING TO IDENTIFY STUDENTS AT RISK OF DROPOUT IN DISTANCE LEARNING"

Presentation date: 03/04/2020, at 10 am

111th Master's Dissertation Defense Session

Master's student: Marcio Josué Ramos Torres; Supervisor: Prof. Dr. Regina Barwaldt

Title: "AUDITORY INTERFACES FOR BLIND-ACCESSIBLE WORKSPACE AWARENESS ELEMENTS IN COLLABORATIVE DIAGRAM MODELING TOOLS"

Presentation date: 03/13/2020, at 2:30 pm

28/06/2025

12h02

Notícia

Students

Regular students enrolled in 2025/1

Masters

Abdirasak Mohamed Osman

Abreu Esttebam Tavares Quevedo

Adir Arocha Pedroso Junior

Ailime Ferreira Rodrigues

Alexander Nahuel Peña Silva

Alipio Neto da Silva

Álisson Henrique Kolling

Amenawon Osesumen Timothy

Andrei Frota Nunes

Andrew Flores Brongar

Andrew Mendonça Alaniz

Anna Flavia Zimmermann Brandao

Arthur Gomes Bubolz

Augusto Cardoso Setti

Beatriz Conceição da Costa

Bernardo Castello da Silva

Bruna dos Santos Freitas

Cedenir Borges da Costa

Cleverton Bueno dos Santos Júnior

Cristhian Lima Froes

Eduardo Lawson da Silva

Eduardo Milbrath Goncalves

Emiliano Alexander Barboza Ferreira

Eric de Assis Pereira

Everton Luis Weber Feijo

Fabiano Souza Mendonça

Fabio Castro Dias

Fabrício Lucas Lopes

Femi Samuel Adeola

Fernando Brenner

Francisco Marques Devilla

Frederico de Oliveira Sedrez

Gabriel Amaral Dorneles

Gabriel do Pinho Martins

Gabriel Luis Vitti Marques

Gloria Denise Claro da Silva

Guilherme Correa de Oliveira

Gustavo Pereira de Almeida

Hugo Bandeira de Mello Dias

Iuri Andrade Mundstok

Jaques Hyago de Oliveira Antunes

Jardel dos Santos Dyonisio

Jardel José Pomieczinski Prado

Jean de Matos Alves

Jeferson Santos Lopes

João Francisco de Souza Santos Lemos

Joao Mateus Daltro de Athayde

Jordan Zitzke Pinho

Jornão Gaspar

Joshua Tolulope Adesina

Juan Rodrigo Meireles de Oliveira

Karine de Oliveira Fonseca

Kelli Tissot Moraes

Leonardo Silveira Chagas

Lisandro Tavares da Silva

Lucas Brasil Cardoso

Lucas da Silva Schwarzbach

Lucas Ricce Corrêa

Lucas Silva de Castilho

Lucas Silveira Veiga

Luiza do Nascimento Lopes

Luiza Olivera das Neves

Lutiane Silveira Martin

Marina Hurtado de Souza

Marina Zanotta Rocha

Matheus Silveira Estima

Mickael Pires de Pinho

Murilo Castanheira Bicho

Okwuchi Stephen Nnamdi

Pablo Lopes Mesquita

Renan Paredes Barreto

Renan Tavares Acosta

Thalles Mikael Cunha da Silva

Tony Danilo Fróes

Vinicius Madruga Reis Telles

Vinicius Veleda Bonilha

Yago Mendes Paes

Ylanna Bandeira Lima

Doctorate

Carlos Alberto Barros Cruz Westhead Madsen

Douglas Severo Silveira

Everson da Silva Flores

Gabriel Lavoura dos Santos

Isadora Martins dos Santos

Letieri Rodrigues de Ávila

Marcos Villela Rodrigues

Paula Fernanda Schiavo Pereira

Rodrigo da Cruz Casalinho

Sidnei da Fonseca Pereira Junior

Thiago Manuel Fortunato da Costa

Vinícius Vasconcelos Maurente

Vitor Mendes Magalhaes

It is also possible to access the student registry through the CAPES Sucupira platform by clicking here.

01/04/2025

09h17

Notícia

Quadriênio 2021-2024

A autoavaliação dos programas de pós-graduação da FURG encontra-se articulada aos processos de autoavaliação institucional e avaliação externa. No âmbito institucional, a Comissão Própria de Avaliação (CPA), com apoio da Diretoria de Avaliação Institucional, coordena os processos de autoavaliação vinculados ao Sistema Nacional de Avaliação da Educação Superior (Sinaes) (Lei n° 10.861, de 14 de abril de 2004). Neste âmbito, os estudantes dos cursos de mestrado e doutorado realizam, anualmente, a avaliação dos docentes considerando os aspectos didáticos das atividades de ensino da pós-graduação e os docentes avaliam as turmas, a infraestrutura e a gestão. Os dados produzidos são avaliados pela Comissão Própria de Avaliação (CPA) e pela Comissão Interna de Avaliação e Planejamento (CIAP) das Unidades Acadêmicas onde estão lotados os cursos de pós-graduação, subsidiando os processos de planejamento e de construção do plano de ação anual das Unidades, os quais estão vinculados aos objetivos e estratégias do Plano de Desenvolvimento Institucional da FURG. Essas instâncias também estão articuladas com o Comitê de Pós-Graduação stricto sensu, formado por todos os coordenadores dos cursos de pós-graduação stricto sensu e pela Diretoria de Pós-Graduação da Pró-reitoria de Pesquisa e Pós-Graduação. Neste Comitê, são avaliadas as demandas dos programas, os resultados dos procedimentos de autoavaliação e da avaliação externa e as propostas de criação de cursos novos, além de constituir-se num fórum para troca de experiências, discussão, avaliação crítica e ajuda mútua entre os coordenadores de cursos. A Pró-reitoria de Pesquisa e Pós-Graduação também conta com um Comitê Assessor, formado por docentes experientes em pós-graduação, para avaliação e revisão dos relatórios Sucupira e para a avaliação de propostas de cursos novos. Ainda, a DIPOSG realiza reuniões anuais com os PPGs, com foco nos programas notas 3 e 4, para os quais as reuniões envolvem todo o corpo docente.

Além destes procedimentos, a IN PROPESP Nº 1/2024 trata especificamente do acompanhamento dos planejamentos estratégicos e procedimentos de autoavaliação dos PPGs. Desde 2023 é realizada pelas coordenações via sistemas.furg.br o preenchimento de um relatório com informações relativas à autoavaliação anual do PPG, que permite à Diretoria de Pós-Graduação (DIPOSG/PROPESP) e à Diretoria de Avaliação Institucional (DAI/PROPLAD) o acompanhamento. Ademais, proporciona aos PPGs a manutenção de um histórico das atividades de avaliação interna dos seus cursos, que poderão dar subsídio à construção do relatório quadrienal da CAPES. Ainda, para auxiliar nos procedimentos de avaliação e planejamento de cada PPG, a Pró-Reitoria de Pesquisa e Pós-Graduação, em acordo com todos os PPGs, contratou via recursos PROAP a Plataforma Stela Experta-PG, que permite às coordenações o acompanhamento das variáveis quantitativas do seu PPG, além de proporcionar uma análise comparativa com outros PPGs, possibilitando a organização de um Planejamento Estratégico orientado.

A proposta do PPGComp para o Mestrado e o Doutorado em Engenharia de Computação é peculiar por tratar a Computação sob um outro aspecto, diferentemente dos tradicionais cursos de Ciência da Computação. Estamos interessados nos desafios científicos associados à criação de artefatos computacionais para a solução de problemas complexos. Por outro lado, o curso não encerra-se no design de computadores, mas sim tem o seu núcleo no conceito de algoritmos e sua implementação eficiente. Estas duas características fazem do PPGComp um programa diferenciado onde novas teorias, metodologias e aplicações devem ser propostas para resolver os complexos problemas da natureza e de engenharia que hoje só são passíveis de serem tratados por engenhos computacionais.

O corpo docente é composto por uma mistura de professores com larga experiência na formação de recursos humanos em nível de pós-graduação, bolsistas de produtividade, líderes de grupos de pesquisa, e jovens pesquisadores com grande potencial, energia e disponibilidade para enfrentar novos desafios.

Neste contexto, com base na avaliação do último quadriênio, e visando obter conceito de nível superior ao atual, foram consolidados os procedimentos de autoavaliação do programa. Estes procedimentos são sistematizados, monitorados, discutidos e aprimorados em reuniões mensais do PPGComp. Além disso, todas as métricas de avaliação são calculadas automaticamente utilizando um conjunto de sistemas de software, alguns desenvolvidos pelo próprio programa.

1. Workshop de Pesquisa do Centro de Ciências Computacionais. Realizado no início de cada quadriênio, o evento teve como objetivos apresentar uma visão geral da pesquisa da unidade acadêmica desde sua criação e analisar a integração dos pesquisadores durante o tempo, de forma a motivar o engajamento de novos professores recém contratados e fomentar as atividades de pesquisa. Foi utilizada uma ferramenta desenvolvida no Grupo de Pesquisa em Gerenciamento de Informações para visualizar as redes de colaboração acadêmicas dos integrantes dos grupos cadastrados no diretório do CNPq e as relações com os membros permanentes e colaboradores do PPGComp. Além disso, foi demonstrada a evolução das publicações científicas produzidas a cada ano e analisadas curvas tendência. Este workshop é uma das ferramentas de diagnóstico para o planejamento estratégico do programa apresentado na Seção 1.3.

2. Workshops anuais de autoavaliação. Organizados no segundo semestre de cada ano do quadriênio, tiveram como objetivo discutir os resultados e o planejamento de ações relacionadas à produção científica e à captação de recursos para execução de projetos de pesquisa. Cada docente do programa apresentou uma lista de artigos submetidos, contendo o título, autores, veículo de publicação, índices bibliométricos em bases internacionais, estrato Qualis, e status (publicado, aceito para publicação, sob revisão ou rejeitado). Também foi apresentada lista de projetos submetidos contendo informações sobre título, equipe, edital ou chamada, valor financiado, órgão financiador e status (contratado, aprovado, sob análise, reprovado). Os resultados alcançados são discutidos pelos membros do PPGComp e norteiam o planejamento das atividades considerando os dois anos seguintes, focando na quantidade de estudantes orientados, aumento da produção científica e da captação de recursos, principalmente financeiros. Também é incentivado e planejado a submissão de projetos para o edital de bolsa de produtividade do CNPq por todos os membros do programa, o que resultou na atual composição, onde um terço dos docentes do PPGComp são bolsistas de produtividade e os demais têm mérito, embora não tenham sido contemplados por restrições orçamentárias.

3. Avaliação dos afastamentos para pós-doutoramento. O Centro de Ciências Computacionais tem incentivado, desde sua criação, o afastamento dos seus servidores para qualificação acadêmica. Durante o quadriênio, quatro docentes do PPGComp realizaram estágio pós-doutoral nas seguintes instituições:
- Albert-Ludwigs-Universität Freiburg / Alemanha
- Universidad Pública de Navarra / Espanha
- Austrian Institute of Technology - AIT, Austria;
- Universidade Federal do Rio Grande do Sul - UFRGS / Brasil.
Estas experiências enriqueceram a pesquisa realizada nas áreas de Robótica e Inteligência Artificial e efetivamente potencializaram a internacionalização do programa. Hoje, a FURG já estabeleceu convênios internacionais que permitiram a mobilidade estudantil e de pesquisadores entre estas instituições e a assinatura de projetos em parceria. Estas redes de colaboração beneficiaram também orientações e co-orientações de estudantes de pós-graduação internacionais. Nos relatórios de produção científica fica claro o aumento significativo da interação com coautores destas instituições nos últimos anos.

4. Seminário de meio termo. No início de 2023, após dois workshops anuais de autoavaliação, o PPGComp realizou um seminário de meio termo com o objetivo de analisar os indicadores quantitativos e qualitativos atingidos até a metade do quadriênio, principalmente baseados na análise do Documento de Área da Computação, e nas discussões realizadas pelo Fórum de Coordenadores de Programas de Pós-Graduação em Computação e pela Sociedade Brasileira de Computação. Entre as decisões tomadas no seminário destacam-se a maior rigidez nas regras de permanência do programa, o planejamento do segundo biênio de avaliação, o planejamento estratégico de mais longo prazo, e o processo de recredenciamento dos docentes.

5. Recredenciamento de docentes. O número de docentes permanentes e colaboradores do PPGcomp variou ao longo do quadriênio conforme apresentado a seguir:
2021 - 20 permanentes + 1 colaborador = 26
2022 - 16 permanentes + 5 colaboradores + 1 visitante = 22
2023 - 16 permanentes + 5 colaboradores + 1 visitante = 22
2024 - 16 permanentes + 5 colaboradores = 21

Após os resultados da avaliação quadrienal 2017-2020 e da exoneração de dois docentes permanentes, visto aprovação em concurso público em outra IES, decidiu-se por executar novo processo de recredenciamento, ainda mais rigoroso, baseado principalmente nos indicadores de produção científica, priorizando a qualidade da produção intelectual. No início de 2021, os docentes foram ranqueados de acordo com sua produção científica ponderada por número de coautores e apenas 16 docentes foram mantidos. Ainda foram considerados outros critérios de avaliação no mesmo período, tais como: carga-horária em disciplinas do PPGComp, número de projetos coordenados com financiamento de empresas, número de projetos coordenados com financiamento de agências de fomento, número de dissertações defendidas, número de orientações em andamento, bolsa de produtividade, entre outros. A grande maioria destes indicadores foi altamente correlacionado com a produção científica ponderada. Em 2022 foram lançados outros editais que resultaram no credenciamento de 5 colaboradores e na contratação de um professor visitante. Decidiu-se também que não haveria novos editais no quadriênio visando manter o corpo docente mais estável e analisar o desempenho do planejamento estratégico.

Vale ressaltar que embora o corpo docente permanente tenha sido levemente alterado, os 16 docentes permanentes que atuam desde 2022 são um subconjunto dos 20 professores de 2021.

Este processo contribuiu de forma significativa para a melhoria da qualidade da pesquisa e da produção científica do programa

AVALIAÇÃO COMPARATIVA COM OUTROS PPGs COM DOUTORADO

A análise apresentada a seguir considera dados públicos de 2021 a 2023 disponíveis na Plataforma Sucupira em março de 2025, comparando o PPGComp da FURG com outros 40 Programas de Pós-Graduação da modalidade acadêmico avaliados na Ciência da Computação, todos com curso de doutorado. São 8 PPG nota 7, 4 PPG nota 6, 12 PPG nota 5 e outros 16 PPG nota 4. São apresentados a seguir indicadores do PPGComp junto da mediana e da posição no ranking quando comparado aos demais programas. Estes resultados completos e análises gráficas podem ser consultadas em https://sistemas.prpg.usp.br/apoema-pg/view/fa82b28847befee985cec1dbd8cbef6c. Vale ressaltar que este procedimento foi realizado anualmente, de forma sistemática, durante todo o quadriênio. Os resultados foram monitorados nos Workshops de autoavaliação. Os dados apresentados a seguir podem ser visualizados graficamente no Anexo 08: Análise comparativa - Sucupira (2021-2023).pdf.

Indicadores de formação discente:
- Dissertações concluídas no triênio com publicação científica discente (Mestres com publicação) = 25; mediana = 28; posição = 26
- Dissertações concluídas no triênio (Mestres formados) = 44; mediana = 48; posição = 22
- Média de dissertações por orientador permanente (Mestres por docente permanente) = 0,85; mediana = 0,64; posição = 9
- Duração média do Mestrado (Tempo até a defesa) = 2,56 anos; mediana = 2,85 anos; posição = 6
- Alunos matriculados no mestrado que já concluíram = 42%, mediana = 33%, posição = 8

Os indicadores de formação mostram que o PPGComp forma mais mestres que a metade dos PPG analisados. Além disso, não compromete o tempo de formação. Mesmo oferecendo apenas curso de mestrado frente aos demais 40 programas, o PPGComp figura no centro da distribuição de mestres com publicação.

Indicadores de produção científica:

- Artigos completos em conferências = 234; mediana = 192; posição = 13
- Artigos completos em conferências por orientador permanente = 4,5; mediana = 2,57; posição = 3
- Distribuição (Coeficiente de Gini) de conferências por orientador = 0,43; mediana = 0,46; posição = 12
- Média anual de periódicos ponderados por Qualis e por orientador permanente (índice geral - estratos Qualis A1 a B4, pontuação relativa ao A1) = 1,61; mediana = 1,31; posição = 12
- Distribuição (Coeficiente de Gini) de periódicos por orientador (índice restrito - estratos Qualis A1 a A4) = 0,46; mediana = 0,48; posição = 16

Devido ao fato das conferências não terem identificadores únicos como os periódicos, foi realizada uma análise automatizada comparando os títulos da conferências extraídos das publicações de todos os PPGs no mesmo período de avaliação (2021-2023) e os títulos extraídos da planilha de conferências com Qualis na CA-CC disponível em https://ppgcc.github.io/discentesPPGCC/pt-BR/Qualis/ . Foi desenvolvido um software para casamento aproximado, usando similaridade textual baseada em trigramas. A implementação fez uso da função pg_trgm.similarity() disponível no SGBD PostgreSQL. O limiar de similaridade foi ajustado experimentalmente de modo a reduzir ao máximo o erro entre a avaliação automatizada e a avaliação manual realizada com os dados do próprio PPGComp. Os indicadores a seguir posicionam o PPGComp em relação aos mesmos 40 PPGs da análise anterior. Gráficos de barras foram gerados e anexados junto a esta proposta para facilitar a visualização dos resultados, principalmente em relação aos demais PPGs.

- Média anual de artigos em conferências ponderados por Qualis e por orientador permanente (índice geral - estratos Qualis A1 a B4, pontuação relativa ao A1) = 2,09; mediana = 1,38, posição = 7

Analisando os artigos em periódicos em conjunto com os trabalhos em conferências:

- Média anual de periódicos + conferências ponderados por Qualis e por orientador permanente (iGeral ponderado - estratos Qualis A1 a B4, pontuação relativa ao A1) = 3,7; mediana = 2,91 ; posição = 7

Vale ressaltar que, para esta análise comparativa os indicadores foram calculados com todos os docentes permanentes, incluindo PPJ e PPS. O motivo de manter estes docentes no cálculo é porque não é possível saber quantos pesquisadores júnior ou sênior serão declarados pelos outros 40 PPGs analisados além do PPGComp.

Os valores apresentados mostram que o PPGComp figura entre os melhores dos 41 programas analisados, sendo muito superior a vários PPG nota 5, 6 e 7 nos diversos quesitos de comparação. Em muitos dos critérios aparece nas posições do topo do ranking. É um dos programas que mais publica em conferência, mas mantém um bom índice de publicações em periódicos qualificados. Vale ressaltar que esta comparação não incluiu os dados de 2024 porque estes estarão disponíveis publicamente apenas após o processamento do Coleta, depois da submissão deste relatório.

Quanto à distribuição da produtividade sobre o corpo docente, os dados mostram que o PPGComp figura no topo do 2º quartil, considerando tanto periódicos quando conferências. Ou seja, é um dos programas que menos depende de um pequeno conjunto de docentes para compor os índices de produtividade.

RESULTADOS DE INDICADORES QUANTITATIVOS DA EVOLUÇÃO NO QUADRIÊNIO

Os itens a seguir apresentam os resultados para cada critério de avaliação considerando indicadores quantitativos. Os dados foram calculados utilizando a produção cadastrada no Sucupira em dezembro de 2024 (triênio 2021-2023) adicionada de dados oriundos dos currículos Lattes dos docentes do PPGComp. Vale ressaltar que esta mesma análise foi realizada no seminário de meio termo e os resultados monitorados foram utilizados para readequar o planejamento estratégico propondo ações para o segundo biênio de avaliação.

- Docentes permanentes com pós-doutoramento. Aumentamos em 50%, passando de 6 em 2020 para 9 em 2024. Hoje já são 11.

- Docentes bolsistas de produtividade do CNPq. Mantivemos a quantidade mas elevamos a qualidade, subindo o nível de dois pesquisadores, passando de um nível PQ 1D, um nível DT 1D, dois nível PQ 2 e um nível DT 2 em 2020 para um nível PQ 1C, um nível DT 1C, dois nível DT 2 e um nível PQ E.

- Artigos em periódicos (estratos Qualis A1 até B4). O cálculo deste e dos demais indicadores considerou a estimativa de Qualis baseada no percentil Scopus ou WoS atual.
[2017-2020] Média anual = 37,5
[2021-2023] Média anual = 42,3
Crescimento de 13% quando comparado ao período anterior de avaliação.

- Média anual de periódicos ponderados por Qualis e por orientador permanente (iGeral ponderado - estratos Qualis A1 a B4, pontuação relativa ao A1). Crescimento de 58% em relação ao quadriênio anterior.
[2017-2020] Média anual de 1,02
[2021-2023] Média anual = 1,61

- Artigos completos em conferências (estratos Qualis A1 até B4). Redução da quantidade em 27% quando comparado ao quadriênio anterior.
[2017-2020] Média anual = 107
[2021-2023] Média anual = 78
Esta redução é justificada porque os esforços de publicação concentraram-se em conferências internacionais e periódicos com alto impacto, aumentando assim a qualidade ao longo do tempo, conforme é demonstrado nos indicadores com estimativa de Qualis.

- Média anual de conferências ponderadas por Qualis e por orientador permanente (iGeral ponderado, estratos Qualis A1 até B4, pontuação relativa ao estrato A1). Crescimento de 7% em relação ao quadriênio anterior.
[2017-2020] Média anual = 1,96
[2021-2023] Média anual = 2,09

- Média anual de publicações (periódicos + conferências) ponderados por Qualis e por orientador permanente (iGeral ponderado, estratos Qualis A1 até B4, pontuação relativa ao estrato A1). Crescimento de 26% em relação ao quadriênio anterior.
[2017-2020] Média anual = 2,98
[2021-2023] Média anual = 3,75

- Quantidade de cotas de bolsa ativas.
2022 = 4 Capes DS + 1 CNPq + 12 de projetos = 17
2023 = 4 Capes DS + 3 CNPq + 20 de projetos = 27
2024 = 9 Capes DS + 2 CNPq + 15 de projetos = 28

Financiadores públicos das cotas de bolsa de projetos:
ANP
CAPES
CNPq
EMBRAPII
FAPESC
FURG

Financiadores privados das cotas de bolsa de projetos:
Auros Robotics
Climeggi
Data For Company
DDOS
DENSO
Freedom
GoAwake
GreenNext
I. Melito LTDA
Insaight MedTech
Longevité
Medlife
Natubras
Petrobrás
R&F Tecnologia
Raiaviva
Sarmento
SEBRAE
STIHL
Tedesco
TuboMaq
UBOTS

- Quantidade de projetos de pesquisa em andamento. Crescimento de 37% ao longo do quadriênio.
2021 - 66
2022 - 76
2023 - 80
2024 - 90
Estes projetos representam um total de R$ 31.804.237,96 (trinta e um milhões, oitocentos e quatro mil, duzentos e trinta e sete reais e noventa e seis centavos) investidos em atividades de pesquisa e desenvolvimento pelos docentes do PPGComp no quadriênio.

- Convênios e colaborações internacionais: detalhados na Seção 3.3 Internacionalização, inserção (local, regional, nacional) e visibilidade do programa.

DISCUSSÃO

A qualidade da pesquisa produzida para um curso de pós-graduação stricto sensu tem como principal indicador a quantidade e qualidade da produção intelectual. Estes foram os principais critérios criticados na avaliação no triênio 2014-2016 e, justamente por isso, foram os que receberam mais atenção do programa desde 2017. Foi realizado um grande esforço para ampliar as produções qualificadas, detalhado nos indicadores quantitativos acima apresentados. Durante a avaliação quadrienal passada o PPGComp demonstrou que seus índices de produção eram melhores do que a média dos cursos com nota 4. Neste quadriênio, o programa impulsionou ainda mais a taxa de crescimento apresentando indicadores consistentes com o passar dos anos. Atualmente, o PPGComp figura no primeiro e no segundo quartil da distribuição da maioria dos indicadores de produção quando comparado aos demais PPG com curso de doutorado, na frente de muitos programas nota 5, 6 e 7.

Também demonstram a qualidade da pesquisa realizada os prêmios recebidos pelos docentes e discentes do PPGComp detalhados nas Seções 2.2 e 3.1 deste relatório e no anexo da ficha de avaliação.

O número de projetos de PD&I associados a diferentes agências de fomento e empresas privadas vem crescendo de forma acelerada. O credenciamento da Unidade iTec/FURG - Centro de Robótica e Ciência de Dados - https://www.itecfurg.org - junto à Empresa Brasileira de Pesquisa e Inovação Industrial - EMBRAPII permitiu capturar recursos financeiros abundantes para pesquisa, desenvolvimento e inovação, os quais vem praticamente dobrando a cada ano. Todos os projetos do Itec / FURG contam com docentes e discentes do PPGComp, o que tende a aumentar significativamente com o curso de Doutorado em Engenharia de Computação recentemente aprovado.

As colaborações internacionais realizadas no âmbito das linhas de pesquisa comprovam a decisão do PPGComp em oportunizar aos nossos discentes e docentes experiências em grupos de excelência internacionais. Além disso, o PPGcomp registrou diversas ações de intercâmbio e internacionalização no quadriênio, detalhadas na Seção 3.3 Internacionalização, inserção (local, regional, nacional) e visibilidade do programa.

A eficiência na formação dos estudantes é evidenciada pelos indicadores quantidade de mestres titulados e o tempo médio de formação, que na mesma análise comparativa foram excelentes. Quanto à formação discente, também se destaca o incremento da interação com a graduação. Essa interação é expressa pelo grande quantitativo de estudantes de graduação envolvidos nas atividades de pesquisa e a boa distribuição das publicações com discentes, além de um número expressivo e regular de premiações desses alunos.

Ainda foram considerados como resultados da autoavaliação pesquisas envolvendo projetos de transferência tecnológica e criação de startups junto ao Parque Tecnológico OCEANTEC, destacados na Seção 3.2 Impacto econômico, social e cultural do programa.

ASPECTOS A SEREM CONSIDERADOS

Fica evidente que os resultados de produtividade do PPGComp continuaram crescendo ao longo do quadriênio atual. Quando comparado a todos os PPGs com doutorado, independente de nota, ou seja, incluindo programas nota 5, 6 e 7, o PPGComp figura no topo do 2o quartil para periódicos e no 1o quartil para conferências. Além de ter desempenho equivalente aos programas consolidados referência nacional e internacional, o equilíbrio da distribuição da produção sobre os docentes é melhor do que em 3/4 dos programas com doutorado considerando tanto periódicos como conferências.

Apesar de todos estes resultados excelentes, a coordenação identifica e devem ser melhorados a divulgação científica e a internacionalização do programa. Ainda são poucos os professores visitantes e alunos estrangeiros. Metas, ações e indicadores de internacionalização foram detalhados no planejamento estratégico.

Análise comparativa - SCIndexBR(2025)

Análise comparativa - SMT Capes

Análise comparativa - Sucupira (2021-2023)