معرفی
Xiaopeng Zhao is a Professor in the Department of Mechanical, Aerospace, and Biomedical Engineering at the University of Tennessee, Knoxville, where he has been a faculty member since 2007. His research focuses on computational neuroscience, biomedical informatics, brain-computer interfaces, and AI applications in healthcare, particularly dementia care.
Education:
- PhD in Engineering Science and Mechanics, Virginia Tech (2004)
- MS in Engineering, Tsinghua University, China (1999)
- BS in Engineering, Tsinghua University, China (1996)
Research Interests: Dr. Zhao's work spans multiple interdisciplinary fields including brain-computer interfaces, wearable healthcare technologies, computational physiology, signal processing, machine learning, and epidemic modeling. His recent focus has been on developing AI-driven solutions for dementia care, including social robotics, explainable AI models, and personalized healthcare interventions.
His research also encompasses biomechanics, micro- and nano-systems, impact and vibration analysis, system identification, and nonlinear dynamics. He applies advanced computational techniques to understand complex biological systems and develop innovative healthcare technologies.
Scientific Awards:
- NSF CAREER Award (2009)
- Winner of Physionet/Computing in Cardiology Challenge (2010, 2011)
- Southeastern Conference Visiting Faculty Travel Grant (2016)
- Faculty Understanding Science in Open Networks Award on Human-Technology Frontier (2018)
- University of Tennessee Engagement and Outreach Grant (2019)
- University of Tennessee Faculty Fellow (2019)
Professional Service: Dr. Zhao is actively involved in professional organizations including IEEE Engineering in Medicine and Biology Society (EMBS), American Society of Mechanical Engineers (ASME) - Dynamic Systems & Control Division (DSCD), Biomedical Engineering Society, and Society for Industrial and Applied Mathematics (SIAM).
Contact: xzhao9@utk.edu | 313 Perkins Hall, University of Tennessee, Knoxville
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