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Waldemar Celes Filho is an Associate Professor in the Department of Computer Science at Pontifical Catholic University of Rio de Janeiro (PUC-Rio) and serves as Director of the Tecgraf Institute/PUC-Rio. With a career spanning over three decades, he has established himself as a leading researcher in computer graphics and scientific visualization. His educational background includes a Civil Engineering degree from UFRJ (1986), a Master's in Civil Engineering from PUC-Rio (1990), a Doctorate in Computer Science from PUC-Rio (1995), and postdoctoral studies in Computer Graphics at Cornell University (1995-1997). Dr. Celes Filho's research focuses primarily on Computer Graphics with special emphasis on Scientific Visualization, Numerical Simulation, Distributed Visualization, and Real-Time Rendering. He is particularly known for his work on visualization techniques for black oil reservoir models and as a co-creator of the Lua programming language. His research has resulted in over 50 publications spanning nearly three decades, with consistent output continuing through 2025. His recent publications demonstrate a strong trend toward applying advanced visualization techniques to complex industrial problems, particularly in petroleum engineering and construction informatics. His work bridges theoretical computer graphics with practical applications in engineering domains, showing particular strength in volume rendering, CAD model visualization, and distributed rendering systems. As Director of the Tecgraf Institute, he leads research initiatives that connect academic work with industry applications, fostering collaborations that translate visualization research into practical tools. Dr. Celes Filho has mentored numerous students who have become co-authors on his publications, including Paulo Ivson, Fábio Markus Miranda, and Lucas Caracas de Figueiredo, among others. His work continues to be influential in both academic and industrial settings.

• Computer Graphics
• Scientific Visualization
• Numerical Simulation
• +5 more

Marco Molinaro is a Professor in the Computer Science Department at PUC-Rio . He previously held Assistant Professor positions at TU Delft (EWI), Georgia Tech (ISyE, ACO), and was a PhD student in the ACO program at Carnegie Mellon University . Education: PhD in Algorithms, Combinatorics, and Optimization (ACO), Carnegie Mellon University Research Interests: Marco's work lies at the intersection of online algorithms , convex optimization , machine learning , and operations research . His recent publications analyze: Online scheduling and VM allocation in data centers Complexity of branch-and-bound trees Information-theoretic bounds for optimization problems Explainable decision trees and their theoretical limits Stochastic and adversarial bandit algorithms Curvature properties in optimization sets His research often bridges abstract mathematical frameworks (e.g., Lipschitz functions, supermodular norms) with practical applications in cloud computing, machine learning, and game theory. Publication Trends: Marco's recent work focuses on online convex optimization and its extensions to data center resource allocation (Kamino: latency-driven VM scheduling), dynamic bin packing , and information complexity in mixed-integer models. He frequently collaborates with researchers at institutions like Carnegie Mellon University and TU Delft, with recurring co-authors Santanu Dey, Amitabh Basu, and Thomas Kesselheim. Teaching: Marco teaches advanced courses in algorithm design and analysis at PUC-Rio, including: Analise de Algoritmos (2020–2025) Projeto e Analise de Algoritmos (postgraduate, 2020–2025) Algoritmos e Incerteza (postgraduate, 2020) Estruturas Discretas (2021) His curriculum emphasizes online learning , random-order models , and PAC learning , with connections to game theory and practical implementations.

• Online Algorithms
• Convex Optimization
• Machine Learning
• +5 more

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.

• Neurosymbolic AI
• Artificial Intelligence
• AI Ethics
• +3 more

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.

• Artificial Intelligence
• Distributed Algorithms
• Logic
• +4 more