Research & IP / Evidence and foundations
Research & IP
Research impact and innovation themes spanning computational physics, virtual sensing, vehicle dynamics, and controls.
01 / Patents
Patents and protected innovation
3+ patent filings across virtual sensors, EV dynamics, and controls. Innovation themes include estimator architecture, deployable sensing methods, dynamics, and reusable modelling workflows.
02 / Impact
Publications and impact
Metrics as of July 2026.
View Google Scholar03 / Ph.D. research
Physics-based modelling across extreme conditions
Ph.D. research examined shock-driven ejecta and metal-vacuum interfaces through high-fidelity computational physics, with a broader foundation in compressible multiphase flow and instability-driven turbulence.
- Richtmyer–Meshkov instability and Rayleigh–Taylor turbulence
- Compressible multiphase flow and high-fidelity CFD
- HPC implementation, verification, and validation
- Comparison with Los Alamos National Laboratory experimental evidence
Publicly described LANL experimental evidence provided an independent validation reference for the computational results.
04 / Teaching
Teaching and technical communication
As Adjunct Faculty at SUNY New Paltz, teaching covered Heat Transfer, Computer Simulation, MATLAB, CFD, technical communication, and mentoring.