Find Academic Supervisors

• Social Media Analysis
• Sentiment Analysis
• Computational Journalism
• +6 more

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.

André Luis da FonsecaView profile

Adjunct Professor

• Applied AI
• Entrepreneurship
• Entrepreneurial Ecosystems
• +2 more

André Luis da Fonseca is an Adjunct Professor in the Graduate Program in Administration at COPPEAD, Federal University of Rio de Janeiro. He coordinates the Executive Training in Applied AI (Post-MBA) program and co-leads the Center for Studies in Strategy and Innovation. His academic background includes a PhD in Administration (COPPEAD-UFRJ), a Master's in Computer and Entrepreneurship Teacher Training from Oxford University, and a Bachelor's in Computer Science from UFRJ. Research Focus Fonseca's research explores interdisciplinary applications in: Artificial Intelligence for organizational efficiency Entrepreneurship and startup ecosystem dynamics Social network analysis in business contexts Marketing innovation Awards and Recognition Best doctoral dissertation article (2024) at Brazil's premier academic marketing conference Professional Background With over a decade as a tech entrepreneur and CEO (including venture capital financing experience), he now mentors startups within UFRJ's innovation ecosystem. He teaches Applied AI and Entrepreneurship in graduate programs.

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.

Valeria de PaivaView profile

Researcher

• category theory
• programming languages
• type theories
• +12 more

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 BrancoView profile

Professor

• Internet of Things (IoT)
• Wireless Sensor Networks
• Embedded Systems
• +8 more

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) .

• Superconductivity
• Magnetism
• Condensed Matter Physics
• +3 more

Mauro Melchiades Dória is a Full Professor at the Instituto de Física, Universidade Federal do Rio de Janeiro (UFRJ), Brazil. He holds a CNPq Research Productivity Scholarship (Level 1C), recognizing his contributions to condensed matter physics. His office is located in Room A-432/1, and he can be contacted via email at mmd@if.ufrj.br. Education: He earned his PhD in Physics from Yale University. Research Interests: Prof. Dória specializes in superconductivity, magnetism, and fluid dynamics, with a focus on vortex behavior in mesoscopic systems. His work combines theoretical modeling (e.g., Ginzburg-Landau theory) with computational techniques to study: Vortex patterns in superconductors under magnetic fields Topological states in layered materials Quantum fluid dynamics using lattice Boltzmann methods Magnetic-superconductor heterostructures Publications: His recent articles (2010–2014) explore vortex dynamics, electronic states in superconductors, and geometric approaches to quantum phenomena. A consistent theme is the interplay between magnetic fields and superconducting phases in confined geometries. Awards: CNPq Research Productivity Scholarship – Level 1C (Brazil’s prestigious research grant) Advising & Memberships: He has supervised Master’s and PhD students on topics spanning vortex matter and computational physics. He is an active member of: The University Council of UFRJ (Consuni) Multisuper Network Núcleo de supercondutividade teórica e computacional

Raul Pierre RenteriaView profile

Professor

• Computer Science
• Artificial Intelligence
• Data Science
• +3 more

Raul Pierre Renteria serves as a Tenured Professor in the Computer Science Department at Pontifical Catholic University of Rio de Janeiro (PUC-Rio), contributing to academic instruction and departmental initiatives within the university's technical education framework. His research spans foundational and applied domains of computing, with emphasis on: Artificial Intelligence Data Science Software Engineering Algorithms Computer Networks Computer Science Professional correspondence may be directed to renteria@inf.puc-rio.br . No documented scientific awards or honors were specified in the source material. Information regarding graduate student supervision, research funding, or laboratory affiliations remains unavailable in the provided context.

• Data Visualization
• Scientific Visualization
• Computer Graphics
• +6 more

João Luiz Dihl Comba is a Professor at the Institute of Informatics, Universidade Federal do Rio Grande do Sul (UFRGS), Brazil. With a PhD in Computer Science from Stanford University (1993-2000) under advisor Leonidas J. Guibas, he has established himself as a leading researcher in visualization and computer graphics. His academic journey includes a M.Sc. in Systems Engineering and Computing from UFRJ (1988-1991) and a B.Sc. in Computer Science from UFRGS (1983-1987), along with a sabbatical at the University of Utah (2010-2011). Comba's research focuses on data and scientific visualization, visual analytics, computer graphics, and their applications in medical imaging, sports analytics, and pandemic response. His work bridges theoretical advances in multidimensional projections with practical applications in healthcare, oil and gas, and digital twins. Recent publications demonstrate his continued leadership in applying machine learning techniques to visualization problems, particularly in biomedical contexts. His publication record spans over three decades with consistent output through 2025, showing evolution from foundational computer graphics work to contemporary applications of AI in visualization. The publications reveal strong collaborations with researchers across Brazil and internationally, with particular emphasis on solving real-world problems through visual analytics. As an advisor, Comba has mentored numerous graduate students who have become active researchers in visualization and computer graphics, with several continuing to collaborate with him on publications. His research group at UFRGS appears to be particularly strong in medical visualization applications, as evidenced by multiple recent publications related to COVID-19 analysis and medical image processing.

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.

• Computer Science
• Distributed Systems
• Networking
• +3 more

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

Bruno FeijóView profile

Professor

• CAD
• Animation
• Special Effects
• +5 more

Bruno Feijó serves as a Full Professor in the Computer Science Department at Pontifical Catholic University of Rio de Janeiro's Center for Technology and Sciences (CTC), where he directs the ICAD/VisionLab laboratory. His pioneering work established Brazil's academic foundation in Games and Digital Entertainment, previously unrecognized in higher education institutions. Feijó co-founded the Brazilian Symposium on Computer Games and Digital Entertainment (SBGames) and the Special Committee on Games within the Brazilian Computer Society. PhD in Computer Science, University of London/Imperial College (1988) Bachelor of Engineering, Instituto Tecnológico de Aeronáutica (ITA) (1975) Feijó's research bridges computer graphics, animation, and interactive media with practical applications in digital television, cinema, and educational technology. His interdisciplinary approach spans from high school vocational training programs to advanced research prototypes, influencing public policy in Brazil's creative industries. Current projects focus on real-time rendering techniques for broadcast media and game-based learning environments. CNPq Level 1D Research Productivity Grant (highest distinction for Brazilian scientists) With over 15 doctoral and 40 master's students mentored, Feijó's academic lineage includes entrepreneurs who secured venture capital for gaming startups. His educational innovations include co-designing Brazil's first vocational high school curriculum in multimedia at NAVE/Oi Futuro. As former editor of Elsevier's Media Technology book series, he shaped international discourse on emerging digital media platforms. The ICAD/VisionLab under his direction develops cutting-edge visualization systems used in television production pipelines and maintains partnerships with broadcast networks for digital cinema research. The laboratory serves as incubator for student projects that have won awards at SIGGRAPH and other premier venues.

Markus EndlerView profile

Associate Professor

• Distributed Systems
• Mobile and Pervasive Computing
• Middleware
• +5 more

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.

Anderson Oliveira da SilvaView profile

Associate Professor

• Information Security
• Network Administration and Security
• Computer Network Performance Analysis
• +3 more

Anderson Oliveira da Silva serves as a Tenured Associate Professor II and Technical Consultant at the Department of Computer Science (DI) of Pontifical Catholic University of Rio de Janeiro (PUC-Rio). He holds dual administrative roles as the university's Information Security Manager and Personal Data Officer. His academic responsibilities span undergraduate Computer Science programs and postgraduate Latu Sensu specializations in Information Systems and Computer Networks. His educational background includes: Computer Engineering degree (1995) from PUC-Rio Master of Science in Computer Science (1999) from PUC-Rio Doctor of Science in Computer Science (2009) from PUC-Rio Professor da Silva specializes in Information Security, Network Administration, Computer Network Performance Analysis, and IoT Security. His research focuses on practical security implementations across network architectures, with emphasis on wireless networks, TCP/IP infrastructure, and secure application systems. He has developed comprehensive course materials covering cryptography, secure communications, authentication techniques, and network defense strategies through multiple handouts and laboratory exercises. His teaching portfolio includes Information Security, Network Administration and Management, Network Security, TCP/IP Architecture, and Operating Systems across various academic programs. He employs a hands-on approach with detailed laboratory practices covering Java security implementations, certificate authorities, and network protocol configurations. Professor da Silva maintains active research collaborations through two primary laboratories: Telemedia Laboratory with Professor Sérgio Colcher, focusing on Information Security and Network Performance Analysis Laboratory for Advanced Collaboration (LAC) and Great Ideas for Small Things Laboratory (GIST) with Professor Markus Endler, specializing in IoT Security As an academic advisor, he has supervised numerous graduate projects since 2003, guiding students through research on intrusion detection systems, firewall technologies, VPN implementations, wireless security, and network management tools. His professional presence includes a personal website (http://www.inf.puc-rio.br/~anderson/), Lattes CV profile, and LinkedIn profile.

• Computer Science
• Algorithms
• Artificial Intelligence
• +3 more

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.

• Computer Networks
• Distributed Real-Time and Embedded Systems
• Wireless Sensor Networks
• +5 more

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.