Pontifical Catholic University of Rio de JaneiroBrazil
Edmundo Bastos Torreão is a Tenured Professor in the Department of Computer Science at Pontifical Catholic University of Rio de Janeiro (PUC-Rio). His research spans multiple areas of Computer Science, with a focus on Algorithms , Artificial Intelligence , Software Engineering , Databases , Computer Networks , and Systems . These interests reflect the diverse research landscape within the department. Details regarding his educational background, scientific awards, student advising activities, research grants, and laboratory affiliations were not included in the provided text.
Prof. Luis C. Lamb is a Professor at the Institute of Informatics (Universidade Federal do Rio Grande do Sul, UFRGS), specializing in Foundations of Computer Science and Artificial Intelligence. His research focuses on Neurosymbolic AI, AI Ethics, and Technology Strategy. He holds a DIC and PhD. Research Interests: Integrated Machine Learning & Reasoning, AI Ethics, Social Computing, and Innovation Strategy. Notable work includes Neurosymbolic AI frameworks and studies on collective intelligence in problem-solving. Recent contributions include talks at AAAI, IBM Neuro-Symbolic AI workshops, and the Montreal AI Debate. His work bridges statistical and symbolic AI approaches, emphasizing ethical considerations and hybrid models.
Celina Miraglia Herrera de Figueiredo is a full Professor at the Systems Engineering and Computer Science Program (PESC) of COPPE, the Alberto Luiz Coimbra Institute for Graduate Studies and Research in Engineering at the Federal University of Rio de Janeiro (UFRJ). She holds a PhD in systems and computer engineering from UFRJ and a postdoctoral degree from the University of Waterloo, Canada. She is a CNPq Level 1A Research Fellow and a FAPERJ Cientista do Nosso Estado awardee, and leads the algorithms and combinatorics research group at COPPE/UFRJ. University: Federal University of Rio de Janeiro School: Alberto Luiz Coimbra Institute for Graduate Studies and Research in Engineering Department: Systems Engineering and Computer Science Program Academic Rank: Professor Email: celina@cos.ufrj.br Her research centers on theoretical computer science, with a focus on graph theory, algorithms, computational complexity, and combinatorial optimization. She has made significant contributions to the understanding of graph classes such as perfect graphs and snarks, algorithm design, and computational complexity. Her work is grounded in the Mathematics Subject Classification codes 05-XX (Combinatorics), 68-XX (Computer Science), and 90-XX (Operations Research). The most recent publications indicate a strong trend in analyzing the computational complexity of graph problems (e.g., MaxCut, Steiner Tree, total coloring) on structured graph classes such as interval, permutation, and path graphs. Her work frequently involves proving NP-completeness results, developing parameterized algorithms, and studying graph invariants like pebbling numbers and chromatic numbers. She consistently publishes in high-quality journals such as Discrete Mathematics , Discrete Applied Mathematics , and RAIRO Operations Research . Giulio Massarani Award for Academic Merit (2006) COPPE Fifty Years Award (2013) CNPq Research Fellowship (Level 1A) FAPERJ Cientista do Nosso Estado Member of the Brazilian Academy of Sciences (2023) Celina has advised numerous students, including Raphael Machado, Vinícius de Sá, Alexsander Melo, and Ana Silva, and has secured significant research funding from CNPq and FAPERJ. She is deeply involved in the academic community, serving on the editorial boards of RAIRO Theoretical Informatics and Applications, Bulletin of the Brazilian Mathematical Society, and Matemática Contemporânea. She has also been a key organizer and committee member for major international conferences such as LAGOS, WG, LATIN, and FCT, reflecting her leadership in the fields of algorithms and combinatorics. She coordinates the Center of Excellence in Randomized, Quantum, and Approximative Algorithms and has been a driving force in promoting women in science, serving on the jury of the L'Oréal–UNESCO–ABC Program for Women in Science. Her Erdős number is 2, highlighting her extensive collaborative network in mathematics and computer science.
Mario R. Folhadela Benevides is a Full Professor at the Universidade Federal do Rio de Janeiro (UFRJ). He is affiliated with the Systems and Computing Engineering Program (PESC/COPPE) within the Department of Computer Science (DCC) and the Institute of Mathematics (IM). He holds a Ph.D. from Imperial College (1991). His research focuses on areas such as Artificial Intelligence, Distributed Algorithms, Logic, Game Theory, and Concurrency. He teaches graduate and undergraduate courses including Artificial Intelligence, Distributed Algorithms, and Game Theory. Education: Ph.D. in Computer Science from Imperial College London (1991). Research interests emphasize theoretical foundations of computing, particularly in logic-based systems, algorithm design, and applications of game theory in computer science. His teaching portfolio includes advanced topics like Prolog programming, heuristic search methods, and neural networks. No scientific awards or recent articles were explicitly mentioned in the provided texts. His professional activities center on academic instruction and research supervision within UFRJ's engineering and mathematics divisions.
