Anvay Pradhan

Anvay Pradhan

Weaving enables us to create complex geometries with unique properties. Basketweaving, for example, can achieve stiff three-dimensional shapes by combining flexible fibers. I am developing computational models that can simulate woven geometries to understand how...
Simone Curtis

Simone Curtis

I am working on creating equity-aware natural hazard risk models to quantify the drivers of disproportionate risk. Because current models only quantify risk for the built environment, my research studies risk in terms of both social and physical vulnerabilities.
Liuyun Xu

Liuyun Xu

Developing probabilistic frameworks for efficient uncertainty quantification and reliability assessment of high-rise systems against natural hazards leveraging data-driven and artificial intelligent techniques
Haochen Wu

Haochen Wu

Task Allocation for Human-AI Teaming by Deep Reinforcement Learning
Anne Draelos

Anne Draelos

My research goal is to understand computation in large-scale neural circuits through adaptive perturbations and real-time inference. My lab develops scalable and efficient machine learning algorithms to adaptively build models of neural and behavioral data online, and...
Gokul Ravi

Gokul Ravi

Prof. Ravi’s research revolves around bringing together expertise from quantum computing, classical computing, and often from the sciences, to build toward a hybrid computing ecosystem for practical quantum advantage. Research thrusts include: Classical...
Brian Kiedrowski

Brian Kiedrowski

Prof. Kiedrowski’s research focuses on the development of advanced algorithms and software for the solution of the linearized Boltzmann equation applied to particle transport for a broad range of nuclear applications. Specific activities include the effective...
Majdi Radaideh

Majdi Radaideh

Dr. Majdi Radaideh leads the AIMS lab (Artificial Intelligence and Multiphysics Simulations), which focuses on the intersection between reactor design, nuclear multiphysics modeling and simulation, advanced computational methods, and machine learning algorithms to...
Liyue Shen

Liyue Shen

Prof Shen’s research interest is in Biomedical AI, which lies in the interdisciplinary areas of machine learning, computer vision, signal and image processing, medical image analysis, biomedical imaging, and data science. She is particularly interested in...
Venkat Viswanathan

Venkat Viswanathan

Prof. Venkat’s research is focusing on multi-scale differentiable computational simulations of electrochemical systems, machine learning guided optimization of energy materials, scientific foundation models and differentiable physical simulations.