I am a physicist and data scientist. I hold a PhD in electrical engineering with more than 20 years of experience in sensor technologies and techniques extending to chemical, biological, radiological, nuclear and explosives (CBRNE) detection and identification; remote sensing; spectral sensing; automatic target recognition (ATR); pattern recognition; algorithm development; computer vision; statistical data analysis; data mining; robustness testing; and design of experiments (DOE). I led multiple projects in analytical studies, synthetic and real data analysis of different modalities, modeling and simulation (M&S), and algorithm design and implementation. In addition, I have expertise in program and project management, research and development cycle, proposal writing, business development, process improvement based on Six Sigma, teaching, advising and training. I authored more than sixty papers.

Using my personal domain expertise and experience, I am teaching students how to apply mathematics, statistics, modeling and simulation, and computational tools in solving real science problems.