Pedro Nuno de Souza Moura

Academic Trajectory: Professor Moura possesses a solid, diverse background in Computer Science, with a trajectory that integrates Information Systems, Computer Science, and Artificial Intelligence. He began his studies with a degree in Information Systems from UNIRIO, where he developed his interest in algorithms and optimization.

He then went to PUC-Rio, where he obtained a master’s degree in Computer Science, focusing on combinatorial optimization and vehicle routing, delving into advanced techniques for solving complex logistics problems. For his doctorate, also at PUC-Rio, he worked on algorithm engineering applied to geostatistics, exploring computational solutions for simulating spatial data representing geological regions.

Throughout his career, he has adapted to research in Deep Learning, influenced by Professor Jean-Pierre, with whom he collaborated during his time at UNIRIO and whose collaboration continues to this day. This change broadened his research scope, allowing him to integrate Deep Learning (neural networks) and Artificial Intelligence techniques into his optimization investigations.

In 2025-2026, he left for postdoctoral studies in France, at the Université Le Havre Normandie, where he intends to deepen his studies in deep learning and artificial intelligence applied to combinatorial optimization problems, especially those that emerge in the context of natural or industrial disasters, consolidating his work at the intersection of these areas and expanding his international academic impact.

Scientific Contribution: Prof. Moura has a relevant academic output and plays an active role in strengthening research at PPGI-UNIRIO, contributing to the program’s consolidation across multiple fronts. His work includes an international award in a combinatorial optimization competition, specifically in the traveling thief problem, a challenge based on two classic problems in the field. The results had a significant impact, demonstrating the excellence of his research and his ability to solve complex problems through innovative approaches.

Beyond this recognition, he maintains an academic output with annual publications in events of the Brazilian Computer Society (SBC), such as CSBC, ensuring the visibility and dissemination of his research within the national scientific community.

His work also stands out for its interdisciplinary collaboration, exploring the interface between artificial intelligence and criminal law, an innovative approach that seeks to apply computational techniques to improve legal analyses and investigative processes.

Internationally, he has been consolidating his presence as a reviewer for several conferences, strengthening his engagement with the scientific community and expanding his academic network. Furthermore, he is building international partnerships, including collaborations with researchers in France and Mexico, expanding his reach and promoting the internationalization of his research.

Contribution to the PPGI: Professor Moura’s work at PPGI-UNIRIO has been marked by a strong commitment to adaptation and innovation, aimed at improving student training and increasing the program’s visibility. One of his main efforts has been to strengthen interdisciplinarity by integrating advanced computational approaches into real-world problems. Furthermore, he has dedicated special attention to the mathematical training of students, a recurring challenge in the PPGI-UNIRIO program. He recognizes that many incoming students have difficulties in this area and therefore works to provide conceptual and methodological support, ensuring that students develop a solid foundation for research and computational applications.

Another central aspect of his work is promoting Deep Learning, establishing himself as one of the program’s leading professors and offering a course focused on this area. His work helps to broaden knowledge about neural networks and optimization, preparing students to face the most current challenges in Artificial Intelligence.

Researcher Training: Since joining PPGI-UNIRIO, Professor Moura has prioritized training researchers, seeking to provide solid guidance aligned with academic and professional demands. To date, he has supervised and co-supervised six postgraduate students, both master’s and doctoral, contributing to high-impact research.

His advisees have distinguished themselves in the scientific community, receiving awards and recognition for their academic and professional contributions, reinforcing the quality of his guidance and the relevance of the topics covered. Furthermore, he maintains close monitoring of his students, assisting them in overcoming mathematical and technical challenges, ensuring that their research is grounded in rigorous methodologies.

Another central aspect of his approach is the alignment between Artificial Intelligence methods and human perception, ensuring that research is robust from a computational standpoint, has real-world applicability and practical relevance, and fits within the context of Information Systems. This balance between theory and application has been a differentiating factor in his work, consolidating his contribution to the training of new researchers in the field.

Visibility and Impact in the Scientific Community: Professor Moura has been actively working to strengthen his academic performance and increase the visibility of the PPGI-UNIRIO program by participating in scientific events, pursuing internationalization, and disseminating knowledge. His presence at renowned conferences, such as CSBC and SMC, has been fundamental in consolidating his research and expanding its impact on the scientific community.

Furthermore, he has invested in internationalization, establishing academic collaborations and inviting members from abroad to serve on his students’ examination boards, thereby broadening the reach of his research and connecting the PPGI-UNIRIO to foreign institutions. His scientific output is also disseminated strategically, with publications at conferences, book chapters, and interviews, especially on topics that explore the application of Deep Learning and Combinatorial Optimization to problems across various domains, bringing new perspectives to these domains.

Lately, he has used LinkedIn as a tool for scientific dissemination, sharing articles, research, and student defenses with a wider audience, thereby increasing his visibility in academic and professional circles. This strategy has been effective in expanding the impact of his work and strengthening his connection with other researchers and experts in the field.

Plans for 2025-2028:

1. Expansion of Research in Strategic Areas

• • Strengthen research in Deep Learning applied to Combinatorial Optimization. The postdoctoral research to be conducted in France in 2025 fits within this context.
  • Explore research on Green Artificial Intelligence, which advocates adopting Deep Learning models with lower energy costs and carbon emissions, aiming for more sustainable environmental solutions.

2. Strengthening Academic Production

• • Maintain continuous production in high-impact conferences and journals.
  • Encourage interdisciplinary and international collaborations.

3. Improvement in Scientific Dissemination.

• • Expand PPGI-UNIRIO’s presence on academic social networks.
  • Structure the processes for disseminating the program’s publications and awards.

4. Improvement of Institutional Collaboration

• Consolidate international partnerships in France and Mexico.
• Explore new opportunities for interinstitutional cooperation.