Samuel Lewis Bell Distinguished Professor of Electrical and Computer Engineering
College of Engineering, Computer and Applied Sciences
Contact 864-656-5912 or firstname.lastname@example.org
Hai Xiao is the Samuel Lewis Bell Distinguished Professor of Electrical and Computer Engineering at Clemson University. He is also the founding director of the Photonics Technology Laboratory (PTL) in the Center for Optical Materials Science and Engineering Technologies (COMSET). Hai received his Ph.D. degree in electrical engineering from Virginia Tech in 2000. Prior to joining Clemson, he held positions as a Member of Technical Staff at the Optoelectronic Center of Lucent Technologies/Agere Systems, an assistant professor of electrical engineering at New Mexico Institute of Mining and Technology, and an associate professor and then professor of electrical engineering at Missouri S&T. Hai is the recipient of a number of prestigious awards including the Office of Naval Research Young Investigator Program (YIP) Award in 2006 and the R&D 100 Award in 2004. His research interests mainly focus on photonic and microwave sensors and instrumentation for applications in health care, energy, intelligent infrastructure, clean-environment, and national security. He has published 112 peer-reviewed journal papers and 4 book chapters, filed 6 patents, and given over 200 presentations at local, national and international conferences.
Hai’s healthcare-related research mainly focuses on bio-sensing and optical bio-imaging. His work on miniaturized sensors and advanced instrumentation has resulted in various tools for effective diagnosis and treatment of various diseases. Examples include the most recent ultra-small fiber probes for single-cell analysis in a niche environment, the common-path needlescopic OCT probes, all-in-fiber microfluidics and optofluidics for in situ analyzing biosamples, and sensor-embedded smart implants. In addition, Hai is actively collaborating with researchers and clinicians to translate the fundamental research in bio-sensing and bio-imaging into clinics.
Bio-sensing, Bio-instrument, Biomedical Imaging, Single-cell Analysis