He is a research scientist specializing in crosscutting applications and advancement of sensor research to enable resilient real-time measurement and control of process variables within the nuclear and other critical industries. His research expertise includes applications of pattern recognition and machine learning techniques, instrumentation and controls, data analytics, battery modeling, risk and reliability, digital signal processing, acoustic telemetry, diagnosis/prognosis using wavelets and empirical mode decomposition, time series analysis, power management, wireless communication protocols, and wireless sensor networks. He has authored 51 peer-reviewed publications and one book chapter, and two U.S. patent applications filed. To date, he was involved in 13 research projects and has been the principal investigator for eight. He serves as a reviewer for the Institute of Electrical and Electronics Engineers (IEEE) Transactions on Image Processing, Energy Conversion, Industrial Informatics, Industrial Applications, Power Delivery, Systems, Machine and Cybernetics, Instrumentation and Measurement, and the American Nuclear Society (ANS) Transactions on Nuclear Technology. He serves as an external reviewer for U.S. Department of Energy’s Office of Science and Office of Nuclear Energy. Since 2009, he has been section editor for the Journal of Pattern Recognition Research. Since 2015, he has served as an elected member of the ANS Human Factors, Instrumentation, and Controls Division and the American Society of Mechanical Engineers Nondestructive Prognostics and Diagnostic Division since 2016.