Jeongwon Park

• Funded research grants from governments and industry
• H-index of 23 (peer review journal articles: 84), and cited more than 4700 times
• Senior Member of IEEE, Professional Engineer
• 6 US patents and 82 peer-reviewed papers in high-impact journals
• Contributed to high-impact research projects in nanotechnology at the University of Nevada Reno, University of Ottawa, SLAC National Accelerator Laboratory, Stanford University, Lawrence Berkeley National Laboratory, University of California, San Diego, and Applied Materials, Inc.

Shengjie Zhai

Dr. Shengjie (Patrick) Zhai is an Assistant Professor of Electrical and Computer Engineering at the University of Nevada, Las Vegas. His research expertise is centered around five key areas: 1) Novel nanomaterials and patterning techniques for bioelectronics, optoelectronics, and photovoltaics, 2) Plasmonic-enhanced biosensors for single-molecule biomedical analysis, 3) Micro/Nanoelectromechanical systems (MEMS/NEMS), 4) Physiological organ biomimetic systems built on microfluidic chips and multi-external driven, scaffold-free engineered human tissue models, and 5) Artificial intelligence-assisted health assessment.
His research contributions include the development of micro-engineered multichannel organ-on-a-chip devices, AI-reinforced biomimetic biosensors, and novel biomaterials for low-noise, comfortable personal health wearable monitor bioelectronics (PHWMB). Dr. Zhai has authored over 20 peer-reviewed articles published in respected journals such as Advanced Optical Materials, ACS Applied Materials & Interfaces, and IEEE COMPSAC, and holds nine patents in his field.
Among his accolades, Dr. Zhai is a recipient of two National Science Foundation Fund Awards (2021, 2019), the Nevada Governor’s Office of Economic Development Fund Award (2020), the NASA-Colgate Funding Award (2019), and a Department of Energy Research Award (2022). He has also served as an editor for the Journal of Renewable Materials and as a contributing reviewer for the Royal Society of Chemistry Advances. His academic services extend to numerous other academic journals, and he has participated as a panelist for NSF, DOE, and NASA grant review processes.

M. Rashed Khan

Khan Lab@UNR aims to study, design, and develop soft materials, unconventional processes, and reconfigurable micro/nanodevices that can be harnessed and optimized further for advanced biochemical, biomedical, and physicochemical applications. The lab is also keen to establish a multidisciplinary smart-manufacturing research group, including researchers from various backgrounds. Through short and long-term active collaboration, Khan Lab@UNR would like to address fundamental challenges associated with soft micro-device fabrication, 3D/4D (bio)printing, and patterning, advanced hybrid sensor manufacturing, biomedical device development – which are still unnoticed and under-explored, and need further investigation.

Additionally, our group also focuses on computational neuroscience and neurobioengineering. Under this research direction, we study human brain, brain functions, brain structure so that the established knowledge can be broadly applicable to general biomecical science and knowledge of the brain and brain-diseases.

M Sami Fadali

M. Sami Fadali earned a BS in Electrical Engineering from Cairo University in 1974, an MS from the Control Systems Center, UMIST, England, in 1977 and a Ph. D. from the University of Wyoming in 1980. He was an Assistant Professor of Electrical Engineering at the University of King Abdul Aziz in Jeddah , Saudi Arabia 1981-1983. From 1983-85, he was a Post Doctoral Fellow at Colorado State University. In 1985, he joined the Electrical Engineering Dept. at the University of Nevada, Reno, where he is currently Professor of Electrical Engineering. In 1994 he was a visiting professor at Oakland University and GM Research and Development Labs. He spent the summer of 2000 as a Senior Engineer at TRW, San Bernardino. His research interests are in the areas of fuzzy logic stability and control, state estimation and fault detection, and applications to power systems, renewable energy, and physiological systems.

Mehdi Etezadi-Amoli

Mehdi Etezadi-Amoli is a professor of electrical and biomedical engineering at the University of Nevada, Reno. Dr. Etezadi worked as an assistant professor of Electrical Engineering at New Mexico State and the University of New Mexico during 1975-1979. From 1979-1983 he worked as a Senior Protection Engineer at Arizona Public Service Company in Phoenix, Arizona. He worked at NV Energy (formerly Sierra Pacific Power Company) during summers 1985-1998. In 1983 he joined the faculty of the Electrical Engineering Department at the University of Nevada, Reno where he is responsible for the power system program. Dr. Etezadi served as the chairman of the Electrical and Biomedical Engineering Department during 2010-2015.

He is the author/coauthor of more than 100 technical papers dealing with power systems planning, distribution, protection, transient analysis, and renewable energy.