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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.

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 .

Flavio Heleno Bevilacqua e SilvaView profile

Professor

• Computer Science
• Software Engineering
• Distributed Systems
• +3 more

Flavio Heleno Bevilacqua e Silva is a Tenured Professor at the Computer Science Department of Pontifical Catholic University of Rio de Janeiro (PUC-Rio). His research interests span core areas of Computer Science , including Software Engineering , Distributed Systems , Database Management , and Programming Languages . Contact: bevilac@inf.puc-rio.br

• Computer Science
• Software Engineering
• Data Structures
• +3 more

Luiz Fernando Bessa Seibel is a Tenured Professor in the Computer Science Department at Pontifical Catholic University of Rio de Janeiro (PUC-Rio). His work appears to intersect with academic coordination and teaching within the department, as indicated by his involvement in graduation programs and course-related sections listed in the institutional webpage. Research Focus : While specific research lines are not explicitly detailed, his affiliation with the Computer Science Department suggests expertise in foundational areas of computing, including software engineering, algorithms, data structures, and database systems. Contact : Email: seibel@inf.puc-rio.br

Melissa Lemos CavaliereView profile

Professor

• Big Data
• Streaming Systems
• Web Development
• +2 more

Melissa Lemos Cavaliere serves as a Tenured Professor in the Department of Computer Science at the Pontifical Catholic University of Rio de Janeiro (PUC-Rio) and holds a research position at the Tecgraf Institute. Her academic responsibilities include teaching undergraduate courses in Big Data & Streaming Systems and Web Development, with emphasis on practical implementation using technologies such as Cassandra, Kafka, HTML/CSS, JavaScript, Bootstrap, and Meteor. Her research and teaching focus centers on applied computing technologies, particularly real-time data processing, distributed systems, and full-stack web application development. Through project-based courses like Supervised Internship (Estágio Supervisionado), she guides students in building production-ready software solutions using modern frameworks and database systems including MongoDB, emphasizing industry-relevant software engineering practices. Professor Cavaliere actively supervises student projects through the Supervised Internship program where participants develop complete software solutions. Her work with Tecgraf Institute indicates involvement in applied research projects bridging academic theory and industrial implementation, though specific grant details are not documented in available sources. She maintains strong institutional ties with Tecgraf Institute at PUC-Rio, a research center specializing in computer graphics, interactive systems, and software development for both academic and industrial applications, contributing to technological innovation in Brazil's tech ecosystem.

• 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.