| Lecturer Profile |
Dr. Honggang Wang received his Ph.D. in Computer Engineering at University of Nebraska-Lincoln in 2009. He is an associate professor at University of Massachusetts (UMass) Dartmouth. He is also the faculty member of Biomedical Engineering and Biotechnology Ph.D. program (BMEBT) at UMass Dartmouth. He has been a faculty member of Data Science master program of UMass Dartmouth since 2015. His research interests include Wireless Health, Body Area Networks (BAN) and biomedical sensor design, BIG DATA in mHealth, Cyber and Multimedia Security, Mobile Multimedia and Cloud, Wireless Networks and Cyber-physical System. He has published more than 130 papers in his research areas, including numerous publications in prestigious IEEE journals and conferences. He served as the lead Guest Editor of IEEE Journal of Biomedical and Health Informatics (J-BHI) special issue on "Emerging Wireless Body Area Networks (WBANs) for Ubiquitous Healthcare" in 2013. He serves as an Associate Editor/Editor/Area Editor for several IEEE journals. He also served as TPC Chair or Co-Chair for several international conferences. He serves as the steering committee Co-chair of IEEE CHASE and TPC Co-chair of IEEE CHASE 2016, which is a leading international conference in the field of connected health. He is the secretary of IEEE COMSOC e-Health Committee and Vice Chair of IEEE COMSOC Multimedia Communications Technical Committee (MMTC) Letters & Member Communications. He served on NSF panel 2012-2016. He received IEEE Multimedia Communications Technical Committee (MMTC) Outstanding Leadership Award (2015). His research has been reported by media such as ABC 6 TV and Standard Times Newspaper. He received UMass Dartmouth Sponsored Research Recognition Award in 2015. |
| Lecture Abstract |
Connected health uses Internet, sensing, communications and intelligent techniques in support of healthcare applications. Wireless body area networks (WBANs) with various types of biomedical sensors serve as one major infrastructure for connected health and provide an opportunity to address issues in rapidly increasing connected health applications. However, there are significant challenges in the area, such as improving the performance of WBANs, analyzing large physiological data collected from biomedical sensors, securing data transmission and protecting data privacy especially in mobile and wireless environments. I will introduce two case studies in this area: (1) developing a wearable biosensor system for the remote detection of life threatening events in infants; (2) designing a security system to support reliable and secured data transmissions over WBANs. |
