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.

Peter Wankeمشاهده پروفایل

استاد

• Soft computing applications in business
• Multicriteria modeling for sectoral benchmarking
• Information theory in business analytics and economics
• +۳ مورد دیگر

Peter Wanke is a Full Professor of Data Science & Business Analytics at COPPEAD/UFRJ and a Joint Appointment Professor at EBAPE/FGV. He has coordinated the Graduate Program in Business Administration at COPPEAD (2018-2021) and the Doctoral Program in Administration since 2011. He leads the Business Analytics and Economics Research Unit (BAE RU) and has published over 200 high-impact journal articles. B.Sc. in Production Engineering (Poli/UFRJ) M.Sc. and D.Sc. in Production Engineering (COPPE/UFRJ) Visiting Scholar at Ohio State University Research Focus: Soft computing in business (finance, marketing, logistics), multicriteria benchmarking in public management, infrastructure, and finance, with applications of information theory to business analytics and economics. His work spans decision-making modeling, efficiency analysis, and data-driven solutions for global sectors. Scientific Recognition: He has received multiple awards, including the IEOM Outstanding Researcher title (2020), CNPq and FAPERJ scholarships, and global influence rankings in PLOS Biology. He serves as Associate Editor for journals like Socio-Economic Planning Sciences and Tourism Economics.

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.

Joaquim Armando Pires Jorgeمشاهده پروفایل

استاد

• Computer Graphics
• Virtual Reality
• Human-Computer Interaction
• +۵ مورد دیگر

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)

Augusto Baffaمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Decision-making under Uncertainty
• Electronic Game Development
• +۱ مورد دیگر

Augusto Baffa is an Associate Professor at the Department of Informática, Pontifical Catholic University of Rio de Janeiro (PUC-Rio). He coordinates the Computer Engineering undergraduate program and serves as a Laboratory Collaborator at ICAD/IGames/VisionLab. His research focuses on Artificial Intelligence for electronic games and decision-making under uncertainty. Key research areas include: Artificial Intelligence Decision-making under Uncertainty Electronic Game Development He teaches courses like INF1010 (Advanced Data Structures), INF1031 (Introduction to Computing), and INF1771 (Artificial Intelligence). Contact details include office extension +55 21 3527-1500 (room 417 RDC) and personal website augustobaffa.pro.br . Collaborations include development of Woofy chatbot and Drone Challenge AI competitions.

André Luis da Fonsecaمشاهده پروفایل

استاد مدعو

• Applied AI
• Entrepreneurship
• Entrepreneurial Ecosystems
• +۲ مورد دیگر

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.

Greis Francy Mireya Silva Calpaمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Virtual Reality
• Machine Learning
• +۷ مورد دیگر

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.

Hélio Cortes Vieira Lopesمشاهده پروفایل

دانشیار

• Data Science
• Machine Learning
• Process Mining
• +۹ مورد دیگر

Hélio Cortes Vieira Lopes is an Associate Professor at the Department of Informatics of the Pontifical Catholic University of Rio de Janeiro (PUC-Rio) . He joined PUC-Rio in 1996, initially working in the Mathematics Department before transitioning to the Computer Science Department (now Informatics) in 2012. He has also held a Visiting Scholar position at Purdue University in 2001. Education: PhD in Mathematics (1996), Master’s in Informatics (1992), and Bachelor in Computer Engineering (1990), all from PUC-Rio. Research Interests: Hélio focuses on developing advanced mathematical and computational techniques for real-world problems, with recent emphasis on Data Science , Machine Learning , and Process Mining in cloud computing and uncertainty quantification. His work spans Computer Graphics and Visualization , Mesh Generation , Computational Geometry and Topology , and Quantitative Methods for Insurance and Finance . He has applied these techniques to industries like oil, banking, and insurance. Scientific Awards: He received the Business Process Intelligence Challenge (BPIC) Best Report Award in 2017. He also holds productivity grants from CNPq, FAPERJ, CAPES, and FINEP. Advising and Industry Collaboration: Hélio has advised over 80 graduate students and collaborated with companies such as PETROBRAS , VALE , BANCO DO BRASIL , and GLOBO.COM . He has served as an associate editor for journals like Computers & Graphics and IEICE Nonlinear Theory and Its Applications . Laboratories and Initiatives: He leads the DASLAB (Data Science Laboratory) and the ExACTa initiative, while also co-coordinating the GALGOS Laboratory (optimization algorithms) and collaborating with the IDEIAS Laboratory (human-computer interaction and visualization).

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) .

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.

Augusto Sampaioمشاهده پروفایل

استاد

• Formal Methods
• Software Engineering
• Model-Based Testing
• +۷ مورد دیگر

Augusto Sampaio is a Full Professor in Software Engineering at the Center of Informatics (CIn), Federal University of Pernambuco (UFPE), Brazil. He holds a CNPq top-level Productive Researcher scholarship since 1995 and has coordinated major national/international projects, including the EU-funded COMPASS project and the Brazilian National Institute for Science and Technology (INCT) on Software Engineering. His work spans formal methods, model-based testing, and industry collaboration, notably with Motorola, Embraer, and The Blockhouse Technology. Contributed to linking algebraic and operational semantics, formal testing, and smart contract verification. Led the creation of the Brazil Test Center, involving over 1,000 collaborators and pioneering 4G testing labs in the Southern Hemisphere. Developed the Software Residency program, blending academic and industrial training for software engineers. Scientific Awards : Comendador da Ordem Nacional do Mérito Científico (2010) Doctor Honoris Causa, University of York (2016) Honoured Researcher, Brazilian Software Engineering Commission (2017) Scientific Merit award, Brazilian Computer Society (2018) Augusto has supervised over 40 graduate students and contributed to academic leadership, including roles as Head of the Computer Science Department (2013-2019) and Coordinator for Industry-Academia Cooperation (2013-2019). His industry partnerships focus on formal testing, avionics analysis, and blockchain verification.

Ivan Mathias Filhoمشاهده پروفایل

استاد مدعو

• Object-Oriented Programming
• Software Frameworks
• UML Meta-modeling
• +۱ مورد دیگر

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.