Mobile Pervasive & Sensor Computing Lab
Nirmalya Roy directs the Mobile, Pervasive, and Sensor Computing (MPSC) Lab, which efficiently analyzes data from sensors and mobile devices, uncovers hidden patterns, gauges users’ activity, behavior, and interaction, and presents this to users, society, or applications to better understand human and system behavior.
James Foulds heads the Latent Lab in the IS department. It carries out research in the area of socially conscious machine learning and artificial intelligence. Its work aims to improve AI’s role in society regarding fairness and privacy and to promote the practice of computational social science using probabilistic models and Bayesian inference.
Causal Artificial Intelligence Lab (CAIL)
The Causal AI Lab conducts research at the intersection of causal inference and artificial intelligence to address real-world problems in healthcare, climate science, mobility, and other fields. Led by Dr. Md Osman Gani, we aim to develop trustworthy and explainable AI systems grounded in rigorous causal principles. Our lab is dedicated to developing next-generation artificial intelligence systems that reason about cause and effect. We believe that unlocking causal understanding is critical for creating AI that is not only accurate but also trustworthy, equitable, and actionable in real-world settings.
Future Sensing and Interaction Lab (FSI Lab)
Dong Li is the founder and director of the Future Sensing and Interaction Lab (FSI Lab). The lab focuses on exploring cost-effective and widely-accessible sensing systems for mobile and IoT devices to revolutionize ambient intelligence in health monitoring and human-computer interaction with enhanced precision and scalability. Our interdisciplinary research integrates innovations in sensor system development, algorithm design, data analytics, signal processing, hardware and firmware optimization.