My core technical focuses are on control, computational intelligence, with application areas on micro- and smart- grids, power distribution systems, energy storage system, mechatronics, robotics, intelligent transportation systems (ITS), and motor diagnosis and control. Recently, I have been researching the use of big data, Internet of Things (IoT), machine learning and digital twin technologies for disaster relief and battery incipient fault detection/diagnosis.

We have been developing complete engineering solution from basic research (theory), to applied research (simulation to hardware prototype), to technology transfer.

Our basic research has mainly been sponsored by National Science Foundation and faculty independent research; our applied research has been mainly supported by several research centers including FREEDM Center, CACC, EPRC, federal government such as DOE, CERL, and industrial projects supported by Siemens, Duke Energy, Progress Energy, NCEMC, Total, Samsung, Huawei, Chen Tech, etc. We have also been doing technology transfer to several of the industrial companies.

We have extensive interactions and collaborations with academic colleagues and industrial colleagues to make the research endeavors meaningful and rewarding.

Please click on the Advanced Diagnosis, Automation, and Control (ADAC) Lab link to explore our research lab and projects.