جستجوی استاد راهنمای دانشگاهی

• Social Media Analysis
• Sentiment Analysis
• Computational Journalism
• +۶ مورد دیگر

Fabrício Benevenuto is an Associate Professor in the Computer Science Department at Federal University of Minas Gerais (UFMG), where he conducts interdisciplinary research at the intersection of social media analysis, data science, and computational journalism. His work spans complex networks, machine learning, and natural language processing with strong societal impact. His research focuses on social media dynamics, particularly in Brazilian contexts, with major contributions to hate speech detection, fake news analysis, and political discourse monitoring. He leads large-scale projects against misinformation, including development of systems like WhatsApp Monitor, Media Bias Monitor, and Purple Feed. His work combines technical innovation with real-world applications for election transparency and public discourse integrity. Benevenuto's recent publications demonstrate strong trends in multilingual NLP for social media analysis, with emphasis on Brazilian Portuguese contexts. His team produces both theoretical contributions and practical systems addressing hate speech, misinformation, and media bias. Notable methodological approaches include combining network analysis with linguistic features, developing culturally-aware detection systems, and creating large annotated datasets for understudied languages. CAPES award for best Brazilian computer science thesis (2010) Humboldt Foundation scholarship recipient (2017-2018) Member of TikTok Safety Advisory Council WWW'20 Best Paper Nominee & CNIL-INRIA Privacy Protection Prize winner Multiple best paper awards at CEAS, WBC, and ICWSM conferences Test-of-Time Award at ICWSM'20 Benevenuto actively mentors PhD and MSc students, with numerous advisees securing academic positions at Brazilian universities and research roles at institutions like Max Planck Institute. His projects often receive funding supporting interdisciplinary collaborations across computer science and social sciences. Current work includes large-scale analysis of Telegram political groups, real-time election monitoring systems, and developing culturally-aware NLP tools for Portuguese. He leads research teams working on social media analysis systems with societal impact, particularly focused on Brazilian digital ecosystems. Projects involve cross-institutional collaborations with researchers from MPI-SWS, Max Planck Institute, and various Brazilian universities, emphasizing practical applications for public discourse integrity.

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.

Marco Antonio Casanovaمشاهده پروفایل

استاد

• Database Systems
• Conceptual Modeling
• Semantic Web
• +۵ مورد دیگر

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.

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.

Francicleber Martins Ferreiraمشاهده پروفایل

پژوهشگر ارشد

• Logic
• Descriptive Complexity
• Finite Model Theory
• +۳ مورد دیگر

Francicleber Martins Ferreira serves as a Research Fellow at the Computer Science Department of Brazil's Federal University of Ceará (UFC), where he completed both his doctoral and master's degrees. His academic trajectory is firmly rooted in theoretical computer science and mathematical logic within this institution. His educational foundation includes: PhD in Computer Science, Federal University of Ceará (2012) Master's in Computer Science, Federal University of Ceará (2007) Dr. Ferreira's research program centers on the theoretical underpinnings of logical systems, with particular emphasis on: Finite and classic model theory Descriptive complexity frameworks Hybrid and preferential logics Non-monotonic reasoning mechanisms Expressiveness hierarchies in computational logic His work bridges theoretical computer science with artificial intelligence foundations through rigorous mathematical analysis. Publication trends from 2006-2014 reveal sustained contributions to logic-based computation, particularly exploring expressiveness boundaries in circumscription, predicate minimization, and transitive closure logics. These works consistently intersect computational complexity theory with model-theoretic approaches, demonstrating specialization in finite structures and definability questions. He actively participates in the Lógica e Inteligência Artificial (LIA) research group, which coordinates logic-focused investigations within UFC's computer science ecosystem. This group serves as his primary academic collaboration framework for advancing theoretical AI foundations.

• High temperature superconductors
• Heavy fermions
• Frustrated quantum antiferromagnetism
• +۲ مورد دیگر

Marcello Barbosa da Silva Neto serves as Associate Professor at the Institute of Physics, Federal University of Rio de Janeiro (UFRJ), where he maintains active research in condensed matter physics. His work is supported by Brazil's prestigious CNPq Research Productivity Scholarship at Level 2, reserved for established researchers demonstrating significant scientific output. Education PhD in Physics (Brazilian Center for Physical Research - CBPF) His research centers on quantum phenomena in complex materials, with emphasis on high-temperature superconductors and strongly correlated electron systems. Specialized investigations include frustrated/anisotropic quantum antiferromagnetism and itinerant ferromagnetism in heavy fermion compounds, addressing fundamental questions in quantum magnetism and unconventional superconductivity. Scientific Recognition CNPq Research Productivity Scholarship – Level 2 (Brazil's National Council for Scientific and Technological Development) As a CNPq Level 2 scholar, he directs independent research programs and likely supervises graduate students within UFRJ's Physics Graduate Program. His laboratory work utilizes the Institute of Physics' specialized facilities including cryogenic systems and condensed matter characterization equipment. Current research focuses on quantum critical behavior in correlated electron systems, with potential applications in quantum computing materials.

Felipe Arruda de Araujo Pinheiroمشاهده پروفایل

دانشیار

• Light propagation in complex, disordered media and metamaterials
• Plasmonics
• Anderson localization
• +۱ مورد دیگر

Felipe Arruda de Araujo Pinheiro is an Associate Professor at the Institute of Physics within the Federal University of Rio de Janeiro . His contact details include the email fpinheiro@if.ufrj.br and phone number +55 (21) 3938-7337. His research focuses on light propagation in complex media, plasmonics, Anderson localization, and electronic transport in nanostructured systems. Education: PhD in Physics, Université Joseph Fourier Research Areas: Light propagation in complex, disordered media and metamaterials Plasmonics Anderson localization Electronic transport in nanostructured and molecular systems Scientific Awards: CNPq Research Productivity Scholarship – Level 2

Eduardo Sany Laberمشاهده پروفایل

دانشیار

• Algorithm Design
• Machine Learning
• Optimization
• +۵ مورد دیگر

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 .

• Complex Systems
• Information Processing
• Self-organization
• +۲ مورد دیگر

Dr. Alexis Ricardo Hernandez Nuñez is an Associate Professor at the Institute of Physics , Universidade Federal do Rio de Janeiro (UFRJ) , where he actively contributes to research and academic programs. He holds a PhD in Physics from the Centro Brasileiro de Pesquisas Físicas (CBPF) . His research explores complex systems, emphasizing self-organized mechanisms for information processing. Key areas include: Emergent behaviors in dynamical systems Computational approaches to self-organization Information theory applications in physical systems No awards, grants, or student advisements are mentioned in available records. Laboratory or team affiliations are unspecified.

• Semiconductor physics
• Nanostructures
• Quantum computing
• +۱ مورد دیگر

Belita Koiller is a Full Professor at the Institute of Physics, Federal University of Rio de Janeiro (UFRJ), where she conducts cutting-edge research in semiconductor physics, nanostructures, quantum computing, and electronic properties of disordered systems. Her work bridges condensed matter physics and quantum information science, contributing to fundamental advancements in next-generation electronic devices and quantum technologies. She earned her PhD in Physics from the University of California at Berkeley, establishing a robust foundation for her theoretical and computational investigations into quantum mechanical phenomena in low-dimensional materials. Prof. Koiller's research focuses on electron behavior in semiconductor nanostructures and disordered media, with emphasis on quantum transport, localization effects, and potential applications in quantum computing architectures. Her methodologies integrate advanced theoretical modeling with computational simulations to unravel complex electronic properties. Her exceptional scientific contributions are recognized through Brazil's most prestigious research honor: CNPq Research Productivity Scholarship Level 1A

• Theoretical Physics
• Nonlinear Systems
• History of Science
• +۲ مورد دیگر

Ildeu de Castro Moreira serves as an Associate Professor at the Institute of Physics within the Federal University of Rio de Janeiro (UFRJ), where he has established a distinguished career in both theoretical and historical sciences. His academic journey is rooted at UFRJ, having earned his PhD in Physics from the same institution. His educational qualifications are as follows: PhD in Physics, Federal University of Rio de Janeiro (UFRJ) Professor Moreira's research interests are multifaceted, encompassing Theoretical Physics with a specialization in nonlinear systems, the History of Science with a particular emphasis on the development of science in Brazil, and the Public Communication of Science. His interdisciplinary approach seeks to connect complex scientific theories with historical context and public engagement, fostering a deeper understanding of science in society. Based on the available information, no scientific awards or honors were listed for Professor Moreira. Regarding academic mentorship and research funding, the source material does not provide details on his students or grants. Similarly, there is no mention of specific laboratories or research teams he leads.

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.

Marco Serpa Molinaroمشاهده پروفایل

استاد مدعو

• Optimization
• Automatic Reasoning
• Theory of Computation
• +۲ مورد دیگر

Marco Serpa Molinaro is an Adjunct Professor at PUC-Rio, affiliated with the Computer Science Department. His expertise lies in Optimization, Automatic Reasoning, and Theory of Computation, with a focus on algorithms under uncertainty and Integer Programming. Marco's educational background includes: Bachelor's Degree in Computer Engineering from PUC-Rio (2005) Master's Degree in Computer Science from PUC-Rio (2008) PhD in Algorithms, Combinatorics, and Optimization from Carnegie Mellon University (2013) His research interests bridge theoretical and applied aspects of computational complexity, including: Optimization algorithms Automated reasoning systems Computational theory foundations Uncertainty modeling in algorithm design Integer programming techniques Marco has been honored with: CNPq Level 2 Productivity Grant FAPERJ Young Scientist of Our State Grant

Marcos Kalinowskiمشاهده پروفایل

دانشیار

• Software Engineering for Data Science and Artificial Intelligence
• Requirements Engineering
• Software Process and Product Quality
• +۳ مورد دیگر

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.

Marcus Poggiمشاهده پروفایل

دانشیار

• Computational Theory
• Optimization
• Automatic Reasoning
• +۵ مورد دیگر

Marcus Poggi is an Associate Professor at the Pontifical Catholic University of Rio de Janeiro (PUC-Rio), specializing in Computer Science with research emphases on Computational Theory, Optimization, and Automatic Reasoning. His work extends to Industrial Automation, Decision Support Systems, Operations Research, and Algorithm Analysis, conducted in collaboration with the Galgos laboratory and ExACTa Greyhounds. Education: PhD in Applied Mathematics (Ecole Polytechnique de Montreal, 1993), Master's in Electrical Engineering (PUC-Rio, 1988), Bachelor's in Electrical Engineering (PUC-Rio, 1983) Grants: CNPq Productivity Grant Level 1C Contact: Room 421 RDC, +55 21 3527-1500 ext. 4339 His research integrates theoretical and applied approaches to solve complex industrial and operational challenges. Academic profiles are available on Google Scholar, DBPL, and ORCID.