Data Structures Professors and Supervisors in Brazil | ApplySharif

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Fabrício BenevenutoView profile

Associate Professor

Federal University of Minas GeraisBrazil

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.

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Augusto BaffaView profile

Associate Professor

Pontifical Catholic University of Rio de JaneiroBrazil

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.

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Marco Antonio CasanovaView profile

Professor

Pontifical Catholic University of Rio de JaneiroBrazil

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.

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Hélio Cortes Vieira LopesView profile

Associate Professor

Pontifical Catholic University of Rio de JaneiroBrazil

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).

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Eduardo Sany LaberView profile

Associate Professor

Pontifical Catholic University of Rio de JaneiroBrazil

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 .

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Bruno Azevedo Lemos MoraesView profile

Associate Professor

Federal University of Rio de Janeiro (UFRJ)Brazil

Bruno Azevedo Lemos Moraes serves as an Associate Professor at the Institute of Physics, Federal University of Rio de Janeiro (UFRJ), where he maintains an office in room A-319/11. His contact details include email moraes@if.ufrj.br and telephone +55 (21) 3938-7483. His research spans fundamental areas of astrophysics and cosmology: Observational Cosmology Theoretical Cosmology Extragalactic Astrophysics General Relativity His work focuses on theoretical frameworks and observational data analysis related to cosmic structure formation, relativistic gravitational phenomena, and large-scale universe evolution. The Institute of Physics provides institutional support through its research laboratories and academic infrastructure.

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Marco MolinaroView profile

Professor

Pontifical Catholic University of Rio de JaneiroBrazil

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.

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Ricardo Nolla RuizView profile

Professor

Pontifical Catholic University of Rio de JaneiroBrazil

Ricardo Nolla Ruiz is a Tenured Professor at the Computer Science Department of Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Brazil. His research focuses broadly on computer science, with emphasis on software engineering, algorithms, and programming languages. He can be reached at nolla@inf.puc-rio.br. Research Interests: span computer science domains including software engineering principles, algorithmic problem-solving, and programming language design.

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Joísa de Souza OliveiraView profile

Professor

Pontifical Catholic University of Rio de JaneiroBrazil

Joísa de Souza Oliveira is a Tenured Professor at the Computer Science Department of Pontifical Catholic University of Rio de Janeiro (PUC-Rio). Her work focuses on foundational areas of computer science including algorithms, data structures, and software engineering. She can be contacted via email at joisa@inf.puc-rio.br.

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José Carlos Ramalho MoreiraView profile

Assistant Professor

Pontifical Catholic University of Rio de JaneiroBrazil

José Carlos Ramalho Moreira is an Assistant Professor at the Computer Science Department of the Pontifical Catholic University of Rio de Janeiro (PUC-Rio), affiliated with the School of Engineering . His academic role centers on teaching and research within computer science disciplines. Fields of Interest: Computer Science, Software Engineering, Data Structures, Algorithms, Databases, Artificial Intelligence

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Luiz Fernando Bessa SeibelView profile

Professor

Pontifical Catholic University of Rio de JaneiroBrazil

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

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Paula Ypiranga dos GuaranysView profile

Professor

Pontifical Catholic University of Rio de JaneiroBrazil

Paula Ypiranga dos Guaranys is a Tenured Professor affiliated with the Computer Science Department at the Pontifical Catholic University of Rio de Janeiro (PUC-Rio). Her work spans core areas of computer science, including software engineering, algorithms, and programming languages. Research Interests : Computer Science fundamentals Software Engineering methodologies Algorithm design and optimization Programming Languages theory Contact : pguaranys@inf.puc-rio.br

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Marcelo GattassView profile

Professor

Pontifical Catholic University of Rio de JaneiroBrazil

Marcelo Gattass is a Full Professor at the Computer Science Department of Pontifical Catholic University of Rio de Janeiro (PUC-Rio) and currently serves as the Vice-Rector for Development Affairs. He has been a professor at PUC-Rio since 1975, initially in the Civil Engineering Department until 1992, and then moved to the Computer Science Department. He is also the Director of the Tecgraf Institute at PUC-Rio since 1987. Education: B.Sc. in Civil Engineering, PUC-Rio, 1975 M.Sc. in Structural Engineering, PUC-Rio, 1977 Ph.D. in Computer Graphics & Civil Engineering, Cornell University USA, 1982 Marcelo Gattass is considered a pioneer of computer graphics in Brazil. His research focuses on Graphics Processing with emphasis on Visualization, Numerical Simulation, Augmented Reality, Geometric Modeling, and Computer Vision. He applies these technologies to projects from his laboratory, assisting professionals in various sectors such as medicine and petroleum engineering. He has dedicated himself to the development of applied computing and plays a key role in PUC-Rio's relationship with Petrobras and the Brazilian energy sector. Scientific Awards: CNPq Level 1A Productivity Grant As Director of the Tecgraf Institute since 1987, Prof. Gattass has led numerous research and development projects. His work has established important connections between academia and industry, particularly with Petrobras and the Brazilian energy sector. He has been instrumental in applying computer graphics and vision technologies to solve real-world problems in medicine and petroleum engineering. Prof. Gattass is actively involved in teaching, currently offering courses such as INF1761 - Computer Graphics, INF 2064/1310 - Computer Vision, INF2608 - Foundations of Computer Graphics, and INF1010 - Advanced Data Structures. His laboratory collaborates with various sectors to apply computer graphics and vision technologies to practical problems.

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Alexandre Malheiros MeslinView profile

Professor

Pontifical Catholic University of Rio de JaneiroBrazil

Alexandre Malheiros Meslin is a Tenured Professor at the Computer Science Department of PUC-Rio (Pontifical Catholic University of Rio de Janeiro), with contact email meslin@puc-rio.br . He is affiliated with technological innovation centers and laboratories such as LAC (Laboratory Collaborator Gist LAC) . Research Interests Computer Science Technological Innovation Software Engineering Data Structures Algorithms Computational Systems Laboratories Meslin is associated with the LAC (Laboratory Collaborator Gist LAC) , contributing to technological innovation and research initiatives.

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Mauricio Ortiz CalvãoView profile

Associate Professor

Federal University of Rio de Janeiro (UFRJ)Brazil

Mauricio Ortiz Calvão serves as an Associate Professor at the Institute of Physics, Federal University of Rio de Janeiro (UFRJ), where he conducts research in physical cosmology and theoretical physics. His academic work focuses on analyzing high-quality observational data to understand fundamental cosmic phenomena. Dr. Calvão earned his Doctorate in Physical Sciences from the Centro Brasileiro de Pesquisas Físicas (CBPF), establishing the foundation for his research career in theoretical and observational cosmology. His primary research interests span multiple areas of modern cosmology including the physics of type Ia supernovae (from raw data to theoretical model constraints, K-correction, extinction and peculiar velocities), redshift space distortions (BAO's, Kaiser effect, and 'fingers of God'), and cosmic microwave background radiation. He also investigates more formal aspects of spacetime theories, particularly covariant formulation of physical laws, relativistic thermodynamics, and geometrical properties of exact solutions to Einstein's field equations. A unifying thread through all his work is the emphasis on statistical analysis and computational processing of observational data. Dr. Calvão is actively involved with the Dark Energy Survey (DES) and DES-Brazil initiatives, contributing to one of the most significant cosmological projects of our time. His work connects Brazilian researchers to international collaborations in observational cosmology. Teaches undergraduate Physics III courses regularly Offers specialized courses in General Relativity Developed and taught Introduction to Cosmology (2012/2) Has taught Hydrodynamics (2020/1) His teaching portfolio demonstrates consistent commitment to physics education at UFRJ, with course offerings spanning multiple years from 2009 through 2020. Dr. Calvão maintains an active research program while fulfilling his teaching responsibilities at the Institute of Physics.

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