PODS Track 1: Data science and AI methodology and applications

• Albert Berahas and Raed Al Kontar (College of Engineering): WinAI: Propelling UM Soccer with Data-Driven AI
• Srijita Das and Van Hai Bui (College of Engineering and Computer Science, UM-Dearborn): Human-in-the-loop multi-agent sequential decision-making based Optimal Operation of Power Distribution System
• David Kwabi and Bryan Goldsmith (College of Engineering), and Yixin Wang (LSA): Extrapolating with Generative Models for Design of Organic Molecules as Energy Carriers
• Vitaliy Popov, Michael Cole and James Cooke (Michigan Medicine), and Mohamed Abouelenien (College of Engineering and Computer Science, UM-Dearborn): Multimodal Modeling of Cognitive Load at Individual and Team Levels in Acute Care Teams using VR Simulations
• Peter Reich (School for Environment and Sustainability) and Mohammed Ombadi (College of Engineering): Combining ecological first principles and AI to better upscale and predict global carbon, nutrient and water cycles on a changing planet
• Katie Skinner (College of Engineering) and Jacob Allgeier (LSA): Machine Learning for Automated Fish Detection and Characterization
• Sabina Tomkins  and Grant Schoenebeck (School of Information), Derek Van Berkel (SEAS), and Ariel Hasell and John Ryan (LSA): Distributing Expert Attention in Complementary Systems
• Angela Violi (College of Engineering): AI-driven Accelerated Optimization for the Design of Sustainable Aviation Fuels
• Jon Zelner and Fan Bu (School of Public Health): Neural Posterior Estimation (NPE) approaches for fitting high-dimensional stochastic epidemic models to real-world spatiotemporal disease data

PODS Track 2: Accelerating responsible AI research ecosystems

• Christopher Brooks and Libby Hemphill (School of Information), and Allyson Flaster (Institute for Social Research): Innovating, Applying, and Educating on Fairness and Bias Methods for Educational Predictive Models
• Yan Chen and Qiaozhu Mei (School of Information): Evaluating GenAI and Team-based Solutions to Reverse the Decline of Online Knowledge Communities
• Rita Chin (LSA) and H.V. Jagadish (College of Engineering): A Joint Human-AI Framework for Responsible AI
• Shobita Parthasarathy and Molly Kleinman (Gerald R. Ford School of Public Policy), and Ben Green (School of Information): Advancing Responsible AI by Rethinking the Roles of Marginalized Communities in the Innovation Lifecycle: Developing the UBEC Approach

PODS Track 3: AI for Health Policy and Healthcare: Impact & Governance

• Kayte Spector-Bagdady (Michigan Medicine) and W. Nicholson Price (Law School): Trust, Governance, and Humans in the Loop in Clinical AI

DATA awards

• Cristian Minoccheri (Michigan Medicine): CASM-informed Reinforcement Learning (CASM-RL) to Identify Optimal Treatment Strategies for Sepsis
• Timothy Cernak (College of Pharmacy): Combatting Rapidly Mutating Viral Targets Using Thompson Sampling
• Matthew O’Meara (Michigan Medicine): Docking to Novel pocKets (DoNK): A Dense Synthetic Receptor-Ligand Binding Dataset
• Peter Tessier (College of Pharmacy) and Kayvan Najarian (Michigan Medicine): Generative Artificial Intelligence for Design and Optimization of New Therapeutic Antibodies
• Denise Kirschner and Maral Budak (Michigan Medicine): Model-informed Drug Development for Cancer Using Agent-based Multivariate Modeling

Tags:

• artificial intelligence
• data science