Yu Yin
Assistant Professor, Computer and Data Sciences Department
Computer Vision; 3D Vision; Generative Models; Multi-modal Learning
Primary Faculty
Jing Ma
Timothy E. and Allison L. Schroeder Assistant Professor,
Assistant Professor, Computer and Data Sciences Department
Data mining, machine learning
- Trustworthy AI: explanation, fairness, robustness, generalization
- Causality: causal inference, causal ML
- Graph mining: graph neural networks, graph foundation models
- AI for social good: science, healthcare, etc.
- LLM: explanation/causality/safety/ethics in LLMs, LLM applications
Personal website: https://jma712.github.io/
Hyoung Suk Suh
Assistant Professor, Civil and Environmental Engineering
Solving energy and environmental geotechnics problems through the lens of theoretical and computational poromechanics.
Roger French
Professor, Materials Science and Engineering
Director, SDLE Research Center
Applies data science and analytics to energy and materials science research problems
Melinda Lake-Speers
Assistant Professor, Mechanical and Aerospace Engineering
Develops lab-on-a-chip devices for critical health challenges in cancer, global health, and biological modeling
Brian Taylor
Assistant Professor, Mechanical and Aerospace Engineering
Uses engineering approaches to understand biological sensation and navigation, and leverages biological understanding to develop novel engineered autonomous systems.
Kevin Xu
Assistant Professor, Computer and Data Sciences Department
Build data-driven models of complex systems that allow us to understand how they behave and potentially predict how they may change in the future. I am particularly interested in interdisciplinary research with wide societal impact, and I have collaborated with researchers in sociology, psychology, and the health sciences.
Abhinendra Singh
Assistant Professor, Macromolecular Science and Engineering
My current and future research interests are multi-disciplinary and lie at the intersections of soft matter, fluid dynamics, rheology, and tribology and integrates rigorous discrete particle simulations with hydrodynamics to study the particle-laden flows.
Sanmukh Kuppannagari
Assistant Professor, Computer and Data Sciences Department
AI/ML Acceleration on Heterogeneous Platforms; Parallel Computing; Reconfigurable Computing; Combinatorial Optimization