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Waldemar Celes FilhoView profile

Associate Professor

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

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.

Marco Antonio CasanovaView profile

Professor

• Database Systems
• Conceptual Modeling
• Semantic Web
• +5 more

Marco Antonio Casanova is a Full Professor at the Department of Informatics and Coordinator of the Central Planning and Evaluation Office of the Pontifical Catholic University of Rio de Janeiro (PUC-Rio). He has held significant leadership positions at PUC-Rio including Graduate Program Coordinator (2005-2007) and Director of the Department of Informatics (2007-2011). His research interests concentrate on database conceptual modeling, construction of database management systems, and applications of Large Language Models. Dr. Casanova's work focuses on technologies that facilitate the dissemination and interpretation of data on the Web, with particular emphasis on techniques for designing databases to facilitate interoperability. His academic journey began with a degree in Electronic Engineering from the Military Institute of Engineering (1974), followed by an M.Sc. in Informatics from PUC-Rio (1976), and culminated with an M.Sc. (1978) and Ph.D. (1979) in Applied Mathematics from Harvard University. His recent publications (2023-2025) demonstrate a strong focus on the intersection of Large Language Models with database technologies, particularly in developing advanced Text-to-SQL and Text-to-SPARQL systems. His research spans both theoretical database concepts and practical applications across various domains including engineering, healthcare, and cultural heritage. Dr. Casanova has been particularly active in exploring how LLMs can enhance traditional database query interfaces while addressing real-world challenges in complex database environments. Scientific Recognition: Recipient of the Scientific Merit Award from the Brazilian Computer Society (2012) CNPq Level 1B Productivity Grant recipient Dr. Casanova maintains an active research program with numerous collaborations across Brazil and internationally. His work bridges theoretical database research with practical applications, particularly in the evolving landscape of AI-enhanced database systems. He has contributed significantly to the field of semantic technologies, knowledge graphs, and natural language interfaces to databases, with a recent emphasis on leveraging Large Language Models to solve longstanding database interoperability challenges. His laboratory and research team at PUC-Rio focus on developing innovative approaches to database management that incorporate cutting-edge AI techniques while maintaining strong theoretical foundations in database systems.

Joaquim Armando Pires JorgeView profile

Professor

• Computer Graphics
• Virtual Reality
• Human-Computer Interaction
• +5 more

Joaquim Armando Pires Jorge is a Full Professor at Instituto Superior Técnico, University of Lisbon, where he holds the UNESCO Chair on AI & Virtual Reality. He is also an Adjunct Full Professor at Victoria University of Wellington and an Honorary Invited Professor at the Catholic University of Rio de Janeiro. His career spans AI, VR, and human-centered computing, with leadership roles in IEEE Computer Society, ACM/SIGGRAPH, and Eurographics. Teaching: Computer Graphics, VR, and Human-Computer Interaction (HCI) Leadership: IEEE Computer Society Board of Governors (2023–present), ACM Europe Council (2015–2019) Research: 400+ peer-reviewed publications, focusing on VR, AI ethics, and interactive systems Jorge’s research bridges theoretical and applied computing, emphasizing ethical AI, reproducible science, and immersive technologies. His work includes foundational contributions to pseudo-haptics, gamification in education, and 3D user interfaces. He advocates for open science and global collaboration in XR (Extended Reality) development. His publications span topics like NFTs, remote assistance in MR (Mixed Reality), and gamified learning analytics, reflecting a career dedicated to innovation in graphics, interaction, and education. Notable awards include IEEE Fellow (2025), IEEE Golden Core (2024), and IFIP Silver Core (2014). He has supervised 18 doctoral theses and 70+ MSc dissertations, including Pedro Duarte Parreira’s Fraunhofer-winning MSc thesis (2016). As Editor-in-Chief of Computers & Graphics (since 2007) and IEEE Computer Society Publications Board member (2025–present), he shapes academic discourse in computing. Selected Awards IEEE Fellow (2025) Golden Core Award (2024) IFIP Silver Core (2014) Best Paper Award, IEEE CG&A (2011) Fellow, Eurographics Association (2010)

Greis Francy Mireya Silva CalpaView profile

Assistant Professor

• Human-Computer Interaction
• Virtual Reality
• Machine Learning
• +7 more

Greis Francy Mireya Silva Calpa is an Assistant Professor at the Department of Computer Science, Pontifical Catholic University of Rio de Janeiro (PUC-Rio). Her work focuses on Human-Computer Interaction, Virtual Reality, and Machine Learning, with applications in healthcare, industry, and education. BSc in Computer Science (University of Nariño, Colombia, 2009) Revalidated BSc in Computer Science (Fluminense Federal University, Brazil) MSc in Computer Science (PUC-Rio, 2012) PhD in Computer Science (PUC-Rio, 2016) Postdoctoral work at National Laboratory for Scientific Computing (LNCC) and PUC-Rio Her research explores the intersection of Human-Computer Interaction and Artificial Intelligence, including: Intelligent interfaces for healthcare, industry, and education Machine Learning techniques in user modeling HCI design for intelligent systems Serious games and assistive technologies Multimodal interaction and affective computing Greis collaborates with Tecgraf Institute/PUC-Rio and has mentored undergraduate, master’s, and doctoral students in research.

Sérgio ColcherView profile

Associate Professor

• Computer Networks
• Computer Systems Performance Analysis
• Multimedia/Hypermedia Systems
• +1 more

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.

Ivan Mathias FilhoView profile

Adjunct Professor

• Object-Oriented Programming
• Software Frameworks
• UML Meta-modeling
• +1 more

Ivan Mathias Filho serves as an Adjunct Professor in the Computer Science Department at Pontifical Catholic University of Rio de Janeiro (PUC-Rio), where he coordinates the undergraduate programs in Computer Science and Information Systems. His academic leadership spans curriculum development and program administration within the department. He holds a Bachelor's degree in Statistics from the State University of Rio de Janeiro (1992), a Master's degree in Computer Science from PUC-Rio (1996), and a PhD in Computer Science from PUC-Rio (2002). His foundational expertise bridges statistical theory and advanced computing methodologies. His research concentrates on core software engineering domains: Object-Oriented Programming paradigms and implementation Software Frameworks architecture and development UML Meta-modeling for system specification CASE Tools for automated software design No scientific awards, grants, or student advisement records are documented in available sources. Laboratory affiliations and collaborative research teams remain unspecified in current public profiles.

Eduardo Sany LaberView profile

Associate Professor

• Algorithm Design
• Machine Learning
• Optimization
• +5 more

Eduardo Sany Laber is an Associate Professor in the Computer Science Department at Pontifical Catholic University of Rio de Janeiro (PUC-Rio), with over two decades of academic and industrial experience. He completed his undergraduate (1996), master's (1997), and doctorate (1999) at PUC-Rio, focusing on data compression. Since 2001, he has been a faculty member, with visiting roles at Carnegie Mellon University (2001-2002). Education : PhD in Computer Science (1999), PUC-Rio Master in Computer Science (1997), PUC-Rio BSc in Computer Engineering (1996), PUC-Rio His research centers on designing algorithms with theoretical guarantees for problems in data compression , machine learning , and finance , combining optimization, information theory, and industrial applications. His recent work explores connections between k-means and decision trees , alongside information-theoretic clustering . The 15 most recent publications highlight his focus on algorithm efficiency, spanning machine learning , information retrieval , and combinatorial optimization . Notable venues include ICML , ECAI , and ISAAC , with applications in finance , data analysis , and web engineering . Scientific Awards : Gold Medal, Brazilian Math Olympiad (1990) Bronze Medal, International Math Olympiad (1991) First Prize, Brazilian Computer Society PhD Thesis Contest (2000, 2004 co-advisor) Affiliated Member, Brazilian Academy of Sciences (2008) Best Paper Award, ISAAC (2015) Laber supervises PhD and Master's students intensively, including recipients of national awards like the Brazilian Computer Society's First Prize for Marco Molinaro's Master's Dissertation (2009) and Second Prize for Renato Carmo's PhD Thesis (2006) . He is a CNPq Level 1 Researcher and collaborates with the Greyhounds Laboratory .

Clarissa Maria de Almeida BarbosaView profile

Associate Professor

• Human-Computer Interaction (HCI)
• Semiotic Engineering
• Collaborative Systems Design
• +1 more

Clarissa Maria de Almeida Barbosa is an Associate Professor at the Pontifical Catholic University of Rio de Janeiro (PUC-Rio) in the Computer Science Department. She holds a Master's and Doctorate in Computer Science from PUC-Rio, specializing in Human-Computer Interaction (HCI) and Semiotic Engineering. With 14 years of industry experience leading IT departments and multidisciplinary projects, she bridges academic research and technological innovation through programs like ExACTa-FIT, which she coordinates. Education: Master's in Management, University of Manchester (UK) Master's and Doctorate in Computer Science, PUC-Rio (HCI/Semiotic Engineering) Her research emphasizes collaborative systems design and semiotic frameworks for HCI. She mentors students in the ExACTa-FIT program, fostering university-industry partnerships with Americanas SA, and teaches the undergraduate INF1403 course on Human-Computer Interaction.

• Condensed Matter Physics
• Superconductivity
• Phase Transitions
• +5 more

Vitorvani Soares is an Associate Professor in the Department of Mathematical Physics at the Institute of Physics, Federal University of Rio de Janeiro (UFRJ), where he has been a faculty member since 1994. He holds a BSc (1981) and MSc (1984) from UFRJ, and a PhD (1991) from the University of Lausanne, Switzerland, where he also completed postdoctoral research and served as a professor until returning to UFRJ. He coordinates UFRJ's Physics Degree program and is a faculty member of the Master's Program in Physics Teaching. His research focuses on condensed matter physics , including adiabatic nucleation, superconductivity, refractory metals, and phase transitions, with recent extensions to relativistic thermodynamics and cosmological fluids. He maintains active interests in physics education, developing innovative teaching methodologies and experimental demonstrations for thermodynamics, kinematics, and astronomy. Publication trends show dual emphasis: (1) Fundamental condensed matter research on nucleation theory and superconducting junctions (1990s-2011), and (2) Physics education innovations, particularly kinematics paradoxes, thermodynamic experiments, and astronomy pedagogy (2010-present). His educational works frequently employ geometric modeling, low-cost experiments, and historical context to resolve conceptual challenges. He has supervised over 40 students, including 2 PhDs, 8 MSc candidates, and 30+ undergraduate researchers. Major advising themes include experimental thermodynamics (e.g., Boltzmann constant measurement), kinematics paradoxes, astronomy education, and superconductor applications. No awards or dedicated lab spaces are mentioned, though he collaborates on experimental work in superconductivity and material science.

Claudia Affonso Silva AraujoView profile

Professor

• Healthcare Management
• Healthcare Operations
• Healthcare Innovation
• +2 more

Claudia Affonso Silva Araujo is a Professor at the COPPEAD Graduate School of Business , Universidade Federal do Rio de Janeiro (UFRJ), and serves as Coordinator of the Center for Studies in Health Services Management (CES-COPPEAD/UFRJ) . She was a visiting researcher at the University of Maryland – Robert Smith School of Business in 2004 and has expertise in Health Services Management, Service Operations , and Design Thinking . Education : M.Sc. (1996) and D.Sc. (2005) in Business Administration from COPPEAD/UFRJ; B.Sc. in Economics (1993) from PUC/RJ Certifications : MIT Sloan School of Management (Business Design for Digital Transformation), IDEO University (Human-Centered Systems Thinking, AI applied to Design Thinking), LEGO Serious Play facilitator Her research focuses on healthcare management , operations optimization , and innovation in health services , combining methodologies like Design Thinking with operational strategies. She has published in journals including Health Care Management Science , Service Industries Journal , and Cadernos de Saúde Pública , and serves on editorial boards for Journal of Business Administration (RAE), Journal of Operations and Supply Chain Management (JOSCM), and IMED . Scientific Awards : CNPq Research Productivity Scholarship (2018, 2022) FAPERJ Scientist of Our State (2022) She has participated in national and international conferences and consulting projects related to health service design and operational efficiency in healthcare systems, including collaborations on CT scanner accessibility in Baixada hospitals.

Juliano AssunçãoView profile

Associate Professor

• Environmental Economics
• Climate Policy
• Development Economics
• +2 more

Juliano Assunção is an Associate Professor in the Department of Economics at PUC-Rio and Executive Director of the Climate Policy Initiative (Brazil). His work focuses on climate policy, energy economics, and development. He holds dual affiliations with PUC-Rio and CPI Global. Contact: juliano@econ.puc-rio.br / juliano.assuncao@cpiglobal.org . Research interests include environmental economics, climate change mitigation strategies, and sustainable development frameworks. He advises on public policy design for low-carbon transitions and renewable energy systems. No awards or grants explicitly listed in provided text. Collaborates with institutions like CPI Global to advance climate policy solutions.

• Embedded Operating Systems
• Multicore and Reconfigurable Architectures
• Concurrency
• +4 more

Giovani Gracioli is an Assistant Professor at the Department of Knowledge Engineering, College of Technology, Federal University of Santa Catarina (UFSC), Florianópolis. He is also a member of the Graduate Program in Computer Science and the Software/Hardware Integration Lab (LISHA). His research focuses on Embedded Operating Systems Exploiting multicore and reconfigurable architectures Concurrency and inter-processor synchronization Real-time resource management and scheduling Memory management in RTOS His recent publications emphasize embedded systems and real-time operating systems (RTOS), with studies on interrupt tracing and recording, schedulability analysis for resource access protocols, and the adaptation of systems for multicore architectures. These works align with his broader interests in concurrency, parallelism, and efficient resource management in constrained environments. He actively participates in academic events as a program committee member and organizational chair for conferences like ECRTS, RTSS, and SBESC. For research collaboration or advising opportunities, interested students can contact him via email at giovani@lisha.ufsc.br or phone +55 48 3721-2318.

Lucas Mello SchnorrView profile

Associate Professor

• High Performance Computing
• Performance Analysis
• Computer System Simulation
• +3 more

Lucas Mello Schnorr is an Associate Professor at the Institute of Informatics of the Federal University of Rio Grande do Sul (UFRGS), where he teaches parallel computing at the graduate level and compilers/programming language paradigms at the undergraduate level. He conducted postdoctoral research at Inria Grenoble Rhônes-Alpes under Arnaud Legrand's supervision (2016/2017) and was a research scientist at CNRS, France, with the MESCAL team. Education: Ph.D. in Computer Science (2009) from UFRGS and Institut Polytechnique de Grenoble (cotutelle thesis); Bachelor's in Computer Science (2003) from UFSM, Brazil Research Focus: High Performance Computing, Performance Analysis, Energy-Aware Computing, and Parallel Systems He actively participates in academic seminars, program coordination (Graduate Program in Computer Science - PPGC), and international collaborations. His work emphasizes system optimization, reproducibility in research, and cross-disciplinary applications of computational methods.

Marco MolinaroView profile

Professor

• Online Algorithms
• Convex Optimization
• Machine Learning
• +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.

Marcos KalinowskiView profile

Associate Professor

• Software Engineering for Data Science and Artificial Intelligence
• Requirements Engineering
• Software Process and Product Quality
• +3 more

Marcos Kalinowski is an Associate Professor at the Department of Informatics, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), where he has served as a faculty member since 2017. He is the co-founder and coordinator of the ExACTa PUC-Rio laboratory, General Chair of the International Conference on Software Engineering (ICSE) 2026, and Associate Editor of the Journal of Systems and Software. His academic affiliations also include membership on the steering committees of ICSE and the Ibero-American Conference on Software Engineering (CIbSE), as well as being a Senior Advisor and Lead Appraiser for the Brazilian Software Quality Program (MPS.BR). Dr. Kalinowski earned his Ph.D. and M.Sc. in Software Engineering from COPPE/UFRJ under advisor Guilherme Travassos, and his B.Sc. in Computer Science from UFRJ. His academic career includes previous faculty positions at Fluminense Federal University (UFF) from 2014-2017 and the Federal University of Juiz de Fora (UFJF) from 2012-2014. His research focuses on bridging software engineering and data science, with particular emphasis on developing reliable and maintainable AI/ML systems through rigorous engineering practices. His work addresses critical challenges in requirements engineering for ML-enabled systems, investigating how to effectively specify quality attributes and functional requirements for complex AI applications. His research on software process and product quality emphasizes agile methods adapted to modern data-intensive development contexts. Through experimental software engineering approaches, he validates these methods through empirical studies in both academic and industrial settings. His work has significantly contributed to establishing Software Engineering for Data Science as a distinct discipline, including creating Brazil's first extension course on the subject in 2021. His publication record demonstrates a strong focus on the intersection of software engineering and artificial intelligence, with recent work addressing technical debt in ML systems, requirements engineering for AI, and lean methodologies for industry-academia collaboration. His research shows a clear trajectory toward making AI development more systematic, reliable, and aligned with software engineering best practices, evidenced by his over 160 scientific publications and multiple books including the Jabuti Acadêmico award-finalist 'Engenharia de Software para Ciência de Dados' (2023). Dr. Kalinowski has received numerous prestigious awards including: CNPq Research Productivity Grant (Level 1D, 2024-2028) FAPERJ Scientist of Rio de Janeiro State Distinction (2024) Multiple best paper awards at international conferences including SWQD 2025 and CAIN 2024 Recognition as advisor of multiple award-winning Ph.D. and M.Sc. theses SBES 2024 Advisor of the Best Brazilian Software Engineering Ph.D. Thesis As an academic leader, Dr. Kalinowski has supervised numerous doctoral and master's students, many of whom have received national awards for their research. He has secured significant research funding from Brazilian Research Council (CNPq) and Rio State Agency (FAPERJ), as well as industry collaborations with major organizations including CEPEL, Eletrobras, Galp, Petrobras, and Stone. His laboratory, ExACTa PUC-Rio, has established successful industry partnerships through its Lean R&D approach, creating a robust pipeline between research and practical application. Dr. Kalinowski leads the ExACTa PUC-Rio laboratory which focuses on applying lean R&D methodologies to industry-academia collaboration projects. He also created and coordinates PUC-Rio's specialization courses in Software Engineering and Full Stack Development through CCEC PUC-Rio, demonstrating his commitment to bridging academic research with industry needs. His leadership in bringing ICSE 2026 to Brazil represents a significant milestone for the software engineering community in Latin America.