PANEL
AI in education and database research: A Necessary Conversation
Artificial intelligence (AI) is not only changing industry and academia; it is rewriting the “rules of the game.” In this context, it is important to reflect on the short- and long-term consequences of how AI can contribute (or not) to teaching and research in various, if not all, disciplines. This 90-minute panel discussion will focus on disciplines and research involving databases, including data engineering and data science. The panelists, with varying levels of experience and academic background, will present and discuss their opinions and experiences on the topic. Following this, the audience will have ample opportunity to ask questions and contribute to the discussion, making the panel a participatory event.
Panel members
Sergio Lifschitz
Associate Professor in the Computer Science Department at PUC-Rio, Sérgio Lifschitz works in the area of databases with an emphasis on bioinformatics. He coordinates the BioBD laboratory, where he develops research involving data management systems applied to biological problems. He holds a PhD in Computer Science from the École Nationale Supérieure des Télécommunications (France) and has experience in autonomous computing, system self-tuning, and interdisciplinary applications of engineering and data science. He also participates in initiatives that integrate data management, artificial intelligence, and formal methods.
Carina Dornelles
Professor Carina Dornelles, from the Department of Informatics and Statistics at the Federal University of Santa Catarina (UFSC), is involved in research, teaching, and mentoring at all academic levels. Her interests include data management, information retrieval, web data mining, and knowledge discovery. She has extensive experience in the scientific community, including participation in SBC committees and CAPES evaluations. She previously coordinated the Postgraduate Program in Computer Science at UFSC and is currently Editor-in-Chief of the Journal of Information and Data Management (JIDM), in addition to collaborating on various national and international projects.
Dimas Cassimiro
Dimas Cassimiro, Adjunct Professor at the Federal University of Agreste of Pernambuco (UFAPE), works in the area of data management with a focus on artificial intelligence, decision support systems, data integration, and optimization. He holds a PhD in Computer Science from the Federal University of Campina Grande (UFCG) and has experience in applied research projects, including initiatives in public health, security, and government innovation. He coordinates projects funded by organizations such as CNPq and FACEPE, involving the use of AI for the analysis of complex data, and also works as a researcher in automation initiatives and emerging technologies.
Coordenador
Mario A. Nascimento (University of Alberta, Canadá)
Professor Emeritus at the University of Alberta and a researcher with extensive international experience, Mario Nascimento has over two decades of experience in the field of databases, with a focus on spatiotemporal data management. Throughout his career, he has published over 100 scientific papers, accumulating thousands of citations, and has supervised dozens of graduate students. He has worked as a professor and researcher at institutions in Brazil and abroad, in addition to holding academic leadership positions and participating in the organization of important international conferences, such as ACM SIGSPATIAL. Currently, he continues to collaborate with the scientific community as a researcher and consultant.
