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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.

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.

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.

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.

Marta Feijó BarrosoView profile

Associate Professor

• Physics Teaching
• Science Education
• Educational Assessment
• +3 more

Marta Feijó Barroso is an Associate Professor at the Institute of Physics, Federal University of Rio de Janeiro (UFRJ), where she earned her PhD in Physics. She teaches graduate courses in Physics Learning within the Master's Degree in Physics Teaching program, as well as undergraduate Physics 1 courses and Introduction to Physics A and B for Mathematical and Earth Sciences students. Her research focuses on physics and science teaching methodologies, with particular emphasis on educational assessment frameworks like PISA and ENEM. She has developed computational applications for physics teaching and conducted extensive research on student retention and dropout rates in physics programs. Her work bridges theoretical educational concepts with practical classroom applications. Her publication record from 2003-2009 reveals consistent contributions to physics education research, with particular focus on teacher training, educational technology applications, and assessment methodologies. The research shows a progression from foundational studies on student conceptions of physics concepts toward more comprehensive analyses of educational systems and international comparative studies. As coordinator of the Research and Development Laboratory in Mathematics and Science Teaching, she leads a multidisciplinary team including Tatiana da Silva, Eduardo Gama, Geraldo Felipe, and others. Her laboratory has produced numerous teaching materials, video resources, and computational applications for physics education at various levels. Dr. Barroso has secured funding from multiple sources including MEC/SEB (National Teacher Training Network), FAPERJ (School Support), FINEP (Digital Teaching Materials), and CNPq (Scientific Dissemination) to support her educational research initiatives and extension projects.