Joint Human–AI Systems Speaker Series Explores Responsible AI for Cardiovascular Health

January 30, 2026

The Translational Data Analytics Institute (TDAI) welcomed Wagner Meira Jr., PhD, Professor of Computer Science at the Universidade Federal de Minas Gerais (UFMG), Brazil, for a seminar as part of the Joint Human–AI Systems Speaker Series. Hosted by Srinivasan Parthasarathy in Pomerene Hall, the session brought together faculty, students, and research community members to examine how human-centered artificial intelligence can support responsible and scalable healthcare solutions.

Artificial intelligence continues to expand its role in medical research and clinical decision-making, presenting both significant opportunities and complex challenges. Meira’s talk focused on the growing importance of responsible AI — an approach that prioritizes transparency, fairness, safety, and trustworthiness alongside technical performance. Within healthcare contexts, these considerations are particularly critical as AI systems increasingly inform high-stakes decisions.

During the seminar, Meira presented research on AI models designed to assist in diagnosing cardiovascular conditions using electrocardiogram (ECG) data. Beyond improving predictive accuracy, his work emphasizes interpretability and deployment readiness, ensuring that models can be responsibly integrated into real-world workflows. He highlighted large-scale implementation efforts across the Brazilian state of Minas Gerais, demonstrating how these systems can be deployed across diverse populations while maintaining human oversight and accountability.

The discussion underscored core priorities of the Joint Human–AI Systems yearlong theme: designing AI that collaborates effectively with people, translating technical innovation into societal impact, and fostering interdisciplinary dialogue across domains. Events such as this speaker seminar continue to strengthen connections across Ohio State’s research community while engaging global perspectives on the future of human–AI collaboration.

About the Speaker

Wagner Meira Jr., PhD received his PhD in Computer Science from the University of Rochester and is a full professor at the Universidade Federal de Minas Gerais (UFMG) in Brazil. He has authored more than 300 publications and is co-author of Data Mining and Analysis: Fundamental Concepts and Algorithms (2014) and Data Mining and Machine Learning: Fundamental Concepts and Algorithms (2020), both published by Cambridge University Press. His research focuses on scalability, efficiency, and characterization of large-scale parallel and distributed systems, as well as data mining and machine learning, with applications in health, information retrieval, bioinformatics, e-governance, and cybersecurity.