We are pleased to announce the works accepted for the second phase of the Thesis and Dissertation Contest on Databases – CTDBD of SBBD 2025. The works will be presented on the SBC channel (https://www.youtube.com/@sbcoficial/) on the dates and times defined below. Congratulations to the selected participants!
Online session: 08/12 (Tuesday), 6:00 PM
Committee: Karin Becker (UFRGS), Ricardo Ciferri (UFSCar), Sergio Lifschitz (PUC-Rio)
Link: To watch the Master’s dissertation presentations: https://www.youtube.com/watch?v=JOUjBmXQKgA
Title: A Comprehensive Exploitation of Instance Selection Methods for Automatic Text Classification — “Doing More with Less”
Author: Washington Cunha (DCC – UFMG)
Advisor: Marcos André Gonçalves (DCC – UFMG)
Co-advisor: Leonardo Chaves Dutra da Rocha (DCOMP – UFSJ)
Title: Provenance Data as First-Class Citizens for Workflow Analysis in Deep Learning
Author: Débora Pina (PESC/COPPE – UFRJ)
Advisor: Marta L. de Queirós Mattoso (PESC/COPPE – UFRJ)
Co-advisor: Daniel Cardoso Moraes de Oliveira (IC – UFF)
Title: Provenance Data as First-Class Citizens for Workflow Analysis in Deep Learning
Author: Débora Pina (PESC/COPPE – UFRJ)
Advisor: Marta L. de Queirós Mattoso (PESC/COPPE – UFRJ)
Co-advisor: Daniel Cardoso Moraes de Oliveira (IC – UFF)
Online session: 08/14 (Thursday), 6:00 PM
Committee: Ângelo Brayner (UFC), Fábio Porto (LNCC), Marco Antônio Casanova (PUC-Rio)
Link: To watch the PhD thesis presentations: https://www.youtube.com/live/i3yD9Jp9QFw
Title: CarboFarm: Data Integration and Knowledge Generation for Agricultural GHG Inventories
Author: Luiz Fernando Santos (DCC-UFJF)
Advisor: Regina Maria Maciel Braga (DCC-UFJF)
Co-advisor: José Maria N. David (DCC-UFJF)
Title: Combining Ontology and Deep Learning for Sensor Data Integration and Critical Event Prediction
Author: Jefferson do Nascimento Amará (DCC-UFJF)
Advisor: Victor Ströele de Andrade Menezes (DCC-UFJF)
Co-advisor: Regina Maria Maciel Braga (DCC-UFJF)
Title: BioF4C-Frame: A Framework for Feature Preparation and Selection applied to Ecological Data Classification
Author: Luma Rios Delponte (INE – UFSC)
Advisor: Carina F. Dorneles (INE – UFSC)
Co-advisor: Simone S. Werner (INE – UFSC)
The Database Theses and Dissertations Competition (CTDBD) of the Brazilian Symposium on Databases (SBBD) aims to select and award the best PhD thesis and the best Master’s dissertation in the field of Databases in Brazil. The competition is open to works developed at Brazilian educational and research institutions, defended and approved between January 1, 2024, and April 30, 2025. Theses and dissertations must be related to the topics of interest of the SBBD.
Theses and dissertations will be evaluated based on their scientific and technological contributions, as well as their potential impact on the state of the art and/or their innovative nature in the field of Databases and data-centric applications.
To promote high-quality research developed in Brazil and encourage broad participation from the community, CTDBD 2025 will follow the structure below: annual competition, simplified submission, online selection process, and awarding of the best dissertation and best thesis, to be presented in person at SBBD 2025.
Phase 1: Submission and ranking
Abstract registration: May 22, 2025 June 3rd, 2025 June 10th, 2025
Submission (executive summary, proof of defense, and full thesis/dissertation): June 3, 2025 June 6th, 2025 June 10th, 2025
Notification of selected works for Phase 2: July 14, 2025 July 17, 2025
Phase 2: Online presentation
Online presentations of selected works: July 28 to August 11, 2025 August 12 to August 14, 2025
Announcement of results: by August 15, 2025 (best thesis and best dissertation)
Final version submission for the Proceedings: August 19, 2025
Phase 3: Presentation and award ceremony of the two winners (best thesis and best dissertation) at SBBD 2025
The selection will occur in two phases:
Phase 1: Each submission will be reviewed by at least three reviewers, who will evaluate the materials submitted (see the “Submission Instructions” section). Based on the reviews, the three top-rated works in each category (PhD/Master’s) will be selected: up to three PhD theses and up to three Master’s dissertations. In case of a tie, more works may be selected.
Phase 2: Authors of the selected works must present their work in a public online session to an Evaluation Committee. Each presentation must last 15 minutes and must be delivered by the author (PhD or Master). A 15-minute Q&A session will follow each presentation. The session schedule will be announced 15 days in advance. The best thesis and dissertation will be selected based on the scientific content (as evaluated in Phase 1), the quality of the oral presentation, and how well the author responds to questions.
The awarded works will be presented in person at a dedicated session of SBBD 2025. An extended abstract of the winners and honorable mentions will be published in the SBBD 2025 Proceedings alongside satellite event materials. Awarded authors (of the best thesis and dissertation) must be present at the symposium to deliver their presentations. Authors are required to use their own equipment (laptops) for the presentation. If needed, a request for equipment must be made in advance to the CTDBD coordination.
Submissions must be made by the author (PhD or Master) through the JEMS system. It is assumed that the advisor endorses the submission. Submissions must be made electronically through the following link:
https://jems.sbc.org.br/home.cgi?c=4673
Each submission must include the following documents in PDF format:
Executive summary in the specified format
Document proving that the thesis/dissertation was defended and approved during the eligible period (e.g., diploma, signed defense minutes, certificate)
Full text of the thesis/dissertation
All documents must be in PDF. The evaluation will be based on the executive summary. The full document will serve as a reference source for the reviewers.
The executive summary must include:
1 cover page
Up to 2 pages of detailed description in predefined sections
1 page for scientific and technological production
Unlimited pages for references
Margins: Minimum 2 cm on all sides.
Page 1 – Cover page:
Category: Master’s or PhD
Author
Title
Graduate Program / University
Advisor (include co-advisor if applicable)
Date of defense and approval
Names and affiliations of the committee members
Grade and honors (if applicable): mention if the institution assigns grades/honors, the grade obtained, and if any distinction was awarded
Highlights: up to 5 bullet points (max. 85 characters each), highlighting innovative and/or remarkable aspects of the work, as per Elsevier’s definition of highlights
Pages 2–3 – Description using predefined fields:
Context and Problem: Describe the motivation, relevance, applicability, impact, challenges, and innovation gaps addressed
Objective: State the goals, especially how the work addresses the gaps using unique or innovative approaches
Contribution: List the main contributions, including scientific innovations, datasets (with link), and public code/software (with link)
Advancement in the State of the Art: Compare your work with related ones, referencing them numerically in the bibliography
Solution Summary: Brief description of your solution and its distinguishing/innovative features. Include figures if needed
Evaluation: Explain how the solution was evaluated, including experimental setup and key conclusions
Page 4 – Scientific and Technological Output:
Scientific Production: Oral/written communications (articles, posters, interviews, etc.), ordered by importance. Include QUALIS if available. You may include accepted but unpublished works
Submitted Papers: List submissions pending decision, including authors, forum, and evaluation progress if any
Technical Production, Records, and Patents: Briefly describe any software or patents resulting from the work
Awards: Include honors or distinctions, identifying the awarding body and the year. Pre-finalist stages can be mentioned
Page 5 and beyond – References
Valéria Cesário Times (UFPE)
For further information, please contact the CTDBD 2025 Chair at: vct@cin.ufpe.br