جستجوی استاد راهنمای دانشگاهی

Waldemar Celes Filhoمشاهده پروفایل

دانشیار

• Computer Graphics
• Scientific Visualization
• Numerical Simulation
• +۵ مورد دیگر

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.

Sérgio Colcherمشاهده پروفایل

دانشیار

• Computer Networks
• Computer Systems Performance Analysis
• Multimedia/Hypermedia Systems
• +۱ مورد دیگر

Sérgio Colcher is an Associate Professor in the Department of Computer Science at the Pontifical Catholic University of Rio de Janeiro (PUC-Rio), where he has served on faculty since 2001. He currently holds multiple leadership roles including Undergraduate Coordinator of the Computer Science Department, Undergraduate Coordinator of Computer Engineering, Graduate Coordinator of Computer Networking, and Coordinator of the Institute of Digital Media (IMD). His educational background includes a B.S. in Computer Engineering (1991), M.S. in Computer Science (1993), and Ph.D. in Computer Science (1999), all from PUC-Rio, followed by a postdoctoral degree at ISIMA (Université Blaise Pascal, France) in 2003. Professor Colcher's research spans foundational and applied domains in network technologies, with emphasis on performance analysis of distributed systems and digital media delivery architectures. His work bridges theoretical computer science with industry applications, particularly in multimedia streaming protocols and telecommunications infrastructure design. He is renowned for translating complex networking concepts into accessible educational frameworks through his influential textbooks. He received the 2012 Personality of the Year award from Assespro-RJ, recognizing his transformative contributions to Brazil's IT sector through academic leadership and industry collaboration. As Laboratory Collaborator for BTG Pactual Telemedia and IMD Coordinator, he drives industry-academia partnerships focused on digital television standards and next-generation communication systems, mentoring future technologists while advancing Brazil's position in global networking research.

Valeria de Paivaمشاهده پروفایل

پژوهشگر

• category theory
• programming languages
• type theories
• +۱۲ مورد دیگر

Valeria de Paiva is a mathematician and AI research scientist, currently serving as Founder of the Topos Institute in Berkeley where she explores the deep connections between mathematics, logic, and computation. She earned her PhD under the supervision of Martin Hyland, working on Dialectica categories, which established her foundational work connecting linear logic with Gödel's Dialectica interpretation. Dr. de Paiva's research spans category theory, programming languages, type theories, and logic in computer science, with special emphasis on the semantics of natural language and lexical semantics. She has pioneered work in linear and modal logics and their applications to mathematics, particularly in building tools to extract, structure, and reason about mathematical knowledge. Her research bridges symbolic/structural and distributional meaning representations through knowledge graphs, ontologies, and computational frameworks. Her recent publications reveal a strong trend toward mathematical concept extraction and natural language processing for mathematical texts. She has developed innovative approaches like MathGloss for building mathematical glossaries and Parmesan for educational concept extraction, demonstrating how theoretical foundations in category theory can solve practical problems in knowledge representation and education. Among her notable recognitions is the unofficial title of 'Ambassador of Logic,' awarded after she was invited by the Division of Logic, Methodology, and Philosophy of Science and Technology to record a video on logic. She has served as council member of this division from 2020-2023. Dr. de Paiva is deeply committed to mentoring and supporting women in logic and computer science. She has mentored 12 PhD students and postdocs at the Applied Category Theory MRC 2022. She co-founded and maintains the Women in Logic website, blog, and Facebook group, serves on the steering committee for Women in Logic, and helps organize the Workshop on Women in Logic, which has held nine editions as of the latest information. She also contributes to the ACM-W Scholarship Program supporting women students in computing worldwide. She is actively involved in numerous academic initiatives including serving as co-chair for CICM 2025 and MFPS 2024, and as scientific committee member for CT2025. She co-founded groups including Women in Logic, Lógicas Brasileiras, and the Women in Logic Workshop, and has organized numerous international conferences and workshops focused on logic, category theory, and computational semantics.

Adriano Francisco Brancoمشاهده پروفایل

استاد

• Internet of Things (IoT)
• Wireless Sensor Networks
• Embedded Systems
• +۸ مورد دیگر

Adriano Francisco Branco is a Tenured Professor in the Computer Science Department at Pontifical Catholic University of Rio de Janeiro (PUC-Rio). He also serves as a researcher and mentor in technological innovation programs, with affiliations to initiatives like ExACTa, Gist LabLua, and Tecgraf at PUC-Rio. PhD in Computer Science (2015) and Master's in Computer Science (2011) from PUC-Rio Bachelor's in Electronic Engineering from CEFET/RJ (1992) His research focuses on bridging distributed systems, IoT, wireless sensor networks, embedded systems, and data science, with emphasis on practical applications in industrial and energy sectors. He leads projects in collaboration with oil & gas and telecommunications companies, integrating energy harvesting and edge AI techniques. Key scientific recognition includes the FAPERJ Excellence Award (Grade 10) .

Marco Molinaroمشاهده پروفایل

استاد

• Online Algorithms
• Convex Optimization
• Machine Learning
• +۵ مورد دیگر

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.

Flavio Heleno Bevilacqua e Silvaمشاهده پروفایل

استاد

• Computer Science
• Software Engineering
• Distributed Systems
• +۳ مورد دیگر

Flavio Heleno Bevilacqua e Silva is a Tenured Professor at the Computer Science Department of Pontifical Catholic University of Rio de Janeiro (PUC-Rio). His research interests span core areas of Computer Science , including Software Engineering , Distributed Systems , Database Management , and Programming Languages . Contact: bevilac@inf.puc-rio.br

• Computer Science
• Distributed Systems
• Networking
• +۳ مورد دیگر

Marcos Vianna Villas serves as a Tenured Professor in the Department of Computer Science at the Pontifical Catholic University of Rio de Janeiro (PUC-Rio), a leading institution in Latin American higher education. His primary academic affiliation centers within the Department of Computer Science, where he contributes to undergraduate and postgraduate programs including course instruction, thesis supervision, and research coordination. Contact is maintained through his institutional email villas@puc-rio.br and personal website http://www.inf.puc-rio.br/~villas , with his complete academic record documented in Brazil's national Lattes CV system ( http://lattes.cnpq.br/9212655972228646 ). Professor Villas' research spans critical domains of modern computing, with foundational expertise in Distributed Systems and Networking. His work particularly addresses challenges in Wireless Sensor Networks and Internet of Things architectures, focusing on scalability, energy efficiency, and real-time data processing in resource-constrained environments. These research trajectories reflect significant contributions to developing robust communication protocols and middleware solutions for next-generation distributed applications. Scientific Awards: No specific awards or honors were documented in the provided source material Advising and Research Funding: While active supervision of postgraduate students is implied through departmental roles in thesis defense coordination and postgraduate seminars, no named advisees were listed in the source text Research grant details or funding sources were not specified in the available information Research Infrastructure: Departmental context indicates potential involvement with PUC-Rio's Technological Innovation Centers (NIT) and specialized laboratories, though specific lab affiliations or team memberships were not explicitly stated

Melissa Lemos Cavaliereمشاهده پروفایل

استاد

• Big Data
• Streaming Systems
• Web Development
• +۲ مورد دیگر

Melissa Lemos Cavaliere serves as a Tenured Professor in the Department of Computer Science at the Pontifical Catholic University of Rio de Janeiro (PUC-Rio) and holds a research position at the Tecgraf Institute. Her academic responsibilities include teaching undergraduate courses in Big Data & Streaming Systems and Web Development, with emphasis on practical implementation using technologies such as Cassandra, Kafka, HTML/CSS, JavaScript, Bootstrap, and Meteor. Her research and teaching focus centers on applied computing technologies, particularly real-time data processing, distributed systems, and full-stack web application development. Through project-based courses like Supervised Internship (Estágio Supervisionado), she guides students in building production-ready software solutions using modern frameworks and database systems including MongoDB, emphasizing industry-relevant software engineering practices. Professor Cavaliere actively supervises student projects through the Supervised Internship program where participants develop complete software solutions. Her work with Tecgraf Institute indicates involvement in applied research projects bridging academic theory and industrial implementation, though specific grant details are not documented in available sources. She maintains strong institutional ties with Tecgraf Institute at PUC-Rio, a research center specializing in computer graphics, interactive systems, and software development for both academic and industrial applications, contributing to technological innovation in Brazil's tech ecosystem.

Vitor Pinheiro de Almeidaمشاهده پروفایل

استاد

• Distributed Systems
• Data Science
• Semantic Web
• +۴ مورد دیگر

Vitor Pinheiro de Almeida is a tenured professor at the Department of Informática, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), and a researcher at the Tecgraf Institute. He holds a PhD in Distributed Systems (2021) and a master's in Theory of Computing (2013), both from PUC-Rio, with a doctoral fellowship at the University of Stuttgart's Institute of Parallel and Distributed Systems (IPVS). Education: PhD in Distributed Systems (2021), PUC-Rio Master's in Theory of Computing (2013), PUC-Rio Professional Experience: Researcher at Tecgraf Institute/PUC-Rio Semantic Computing team member at IBM Research Brazil (2013-2015) Automation engineering group at Petrobras (2015-2017) His research spans data science, semantic web, knowledge representation, stream processing, and cloud computing. He has served on the technical committee of IARIA conferences since 2013 and collaborates with the LAC TecMF laboratory.

Markus Endlerمشاهده پروفایل

دانشیار

• Distributed Systems
• Mobile and Pervasive Computing
• Middleware
• +۵ مورد دیگر

Markus Endler is an Associate Professor at the Department of Computer Science, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), and coordinator of the Laboratory for Advanced Collaboration (LAC). He holds a Doctor of Natural Sciences (Dr. rer. nat.) in Computer Science from Technische Universität Berlin (1992), a Master’s in Computer Science from PUC-Rio (1987), and a Bachelor's in Mathematics from PUC-Rio (1984). Education Bachelor's in Mathematics, PUC-Rio (1984) Master’s in Computer Science, PUC-Rio (1987) Doctor of Natural Sciences (Dr. rer. nat.) in Computer Science, TU Berlin (1992) His research focuses on Distributed Systems, with specialization in middleware for Mobile and Pervasive Computing, Adaptive Software, and the Internet of Things. He emphasizes practical software development to support applications in these areas, leading to collaborations with companies like Microsoft Research, Oi, Boeing, and Petrobrás. His work also includes scalable distributed middleware, context awareness, mobile collaboration, and data stream analysis. Scientific awards include the CNPq Productivity Grant Level 2. He founded the LAC laboratory at PUC-Rio in 2002, which fosters student collaboration and long-term software development projects. His career spans academic roles at IME/USP (1994–2000), where he established the Parallel and Distributed Computing Laboratory (LCPD), and PUC-Rio since 2001.

• Computer Networks
• Distributed Real-Time and Embedded Systems
• Wireless Sensor Networks
• +۵ مورد دیگر

Edison Pignaton de Freitas is an Associate Professor at the Institute of Informatics of the Federal University of Rio Grande do Sul (UFRGS) since 2014. His research focuses on computer networks, distributed systems, avionics, AI, robotics, and IoT. He holds a PhD from Halmstad University (2011) and has collaborated with institutions like Linköping University and Ruhr Universität Bochum. Previously, he worked at the Brazilian Army (2004–2013) on defense systems and interned at Airbus on the A380 avionics project. Education: Bachelor's in Computer Engineering, Military Institute of Engineering (Brazil, 2003) MSc in Computer Science, UFRGS (Brazil, 2007) PhD in Sensor Networks, Halmstad University (Sweden, 2011) Research interests include tactical edge networks, unmanned platforms, missile navigation, aerospace defense systems, and multi-agent systems. He maintains international collaborations and has experience in specification engineering for avionics systems.

• Neurosymbolic AI
• Artificial Intelligence
• AI Ethics
• +۳ مورد دیگر

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.

Mario R. Folhadela Benevidesمشاهده پروفایل

استاد

• Artificial Intelligence
• Distributed Algorithms
• Logic
• +۴ مورد دیگر

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.

• Spintronics
• Nanoscience
• Magnetism
• +۶ مورد دیگر

Raimundo Rocha dos Santos is a Full Professor at the Institute of Physics, Federal University of Rio de Janeiro (UFRJ) . Holding a Ph.D. in Physics from the University of Oxford, he specializes in theoretical modeling of materials with emphasis on magnetism , superconductivity , and strongly correlated systems . His research spans spintronics , nanoscience , and dilute magnetic semiconductors . Educational Background: Ph.D. in Physics from the University of Oxford Research Interests: Professor dos Santos focuses on condensed matter physics , particularly theoretical investigations into spintronics and nanoscale phenomena. His work addresses fundamental aspects of magnetic properties, charge distribution, and phase transitions in complex materials. Awards: Recipient of the prestigious CNPq Research Productivity Scholarship – Senior , reflecting his sustained contributions to physics research in Brazil. Contact: rrds@if.ufrj.br | rrds.if@gmail.com | Office: A-432/15 (IF/UFRJ)

Marcelo Byrro Ribeiroمشاهده پروفایل

دانشیار

• Relativistic cosmology
• Observational cosmology
• Econophysics
• +۵ مورد دیگر

Marcelo Byrro Ribeiro serves as an Associate Professor at the Physics Institute of the Federal University of Rio de Janeiro (UFRJ), where he maintains an active research program across multiple interdisciplinary domains. His institutional affiliation includes office space (Room A-319/3) and direct university contact channels. His research program spans three major domains: Observational cosmology : Theoretical and observational aspects of relativistic cosmologies, application of general theory of cosmological observations, modeling large-scale galaxy distribution as fractal structures Econophysics and complex systems : Complexity dynamics in personal income distributions, city population sizes, and industry sectorial revenue using Gompertz-Pareto distribution History and philosophy of science : Epistemological aspects of modern cosmology, Ludwig Boltzmann's theories as images of nature, interface between science and religion Ribeiro actively contributes to specialized research communities including the Econophysics group and maintains scholarly connections through the Google Scholar profile . His academic lineage is documented through the Mathematics Genealogy Project. Professional development includes: PhD in Physics from University of London Academic genealogy documented via Mathematics Genealogy Project (ID 84000) Active participation in International Society on General Relativity & Gravitation Contact information: Physics Institute - UFRJ, Centro de Tecnologia, Bl. A, Ilha do Fundão, CEP 21941-972, Rio de Janeiro, Brazil Telephone: +55 21 3938-7482 Fax: +55 21 3938-7368 E-mail: mbr@if.ufrj.br