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.

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.

AI/ML Acceleration on Heterogeneous Platforms; Parallel Computing; Reconfigurable Computing; Combinatorial Optimization

I develop intelligent telerobotic systems that sense and reason about their operator to deliver smart multisensory feedback that enhances the human-robot system performance.

Secure and dependable distributed systems, networks and algorithms including solutions to the foundational problems of blockchains, churn, consensus, group membership and failure detectors.

Develops computational models of interfacial chemical reactions relevant to applications in catalysis and energy storage

I am focused on developing technologies that provide more accurate assessments of motor function for individuals with neurological injury, and using that to drive clinical decision support systems that aid clinicians in identifying the right treatment and the right time to maximize recovery.

Focusing on sensor medicine: using bio-sensors to refine treatment and restore lost function.

AI in medical imaging