OREGON STATE UNIVERSITY

You are here

Ubiquitous Computing for Personalized Healthcare and Environmental Sustainability

KEC 1007
2013-02-28 16:45:00
Speaker Information
Mi Zhang
Ph.D. candidate
Ming Hsieh Department of Electrical Engineering
University of Southern California

Ubiquitous computing envisions a world in which people can access computing resources anywhere and any time. With advances in both hardware and software, the emergence and availability of a variety of computing devices are making this vision into reality. Powered by these computing devices, ubiquitous computing endeavors to provide new and better solutions to many critical societal problems such as healthcare, education, sustainability, urban planning and community service. In this talk, I emphasize healthcare and sustainability and show how ubiquitous computing technologies can play a pivotal role in each application domain.

First, in the domain of healthcare, I focus on how ubiquitous computing brings new solutions to transform existing healthcare practices to enable personalized healthcare. Specifically, I present new techniques for automatically sensing and recognizing human daily activities using wearable sensing systems. These techniques form the foundation and act as the core technology for a variety of personal healthcare applications, including personal fitness monitoring, long-term preventive care, and intelligent assistance for elderly citizens. Then I present the design of a novel on-body networked sensing system for computerized rehabilitation. The system is capable of detecting key patterns of patients' motor behavior to track precisely the progress patients have made during rehabilitation. Second, in the domain of sustainability, I will focus on how ubiquitous computing increases our understanding of the reciprocal impact between human beings and our living environment. Specifically, I will present the design of a novel ambient environmental sensing system that helps people visualize and assess local indoor air quality. Embedded with artificial intelligence, the system is capable of identifying household activities that are potential sources of indoor air pollution in order to motivate people to make positive behavior changes to create a sustainable living environment. Finally, I discuss some exciting new opportunities that I intend to explore in the near future.

Speaker Bio

Mi Zhang is a Ph.D. candidate in the Ming Hsieh Department of Electrical Engineering at the University of Southern California, advised by Professor Alexander A. Sawchuk. He received his B.S. degree in Electrical Engineering from Peking University, Beijing, China, in 2006, his M.S. degree in Electrical Engineering and M.S. degree in Computer Science from the University of Southern California, Los Angeles, CA, in 2010. He interned with the Ubiquitous and Mobile Computing Group at Qualcomm Research in San Diego, CA in 2010, where he worked on context modeling and human activity recognition on mobile devices for personalized healthcare applications. His research interests include ubiquitous and mobile computing, embedded sensing systems, machine intelligence, smart environment, mobile health and sustainable computing.  His dissertation centers on designing, developing, and evaluating ubiquitous and mobile computing technologies that enhance human-physical world interaction and address critical social issues including healthcare and sustainability. He is a member of Eta Kappa Nu (HKN) national Electrical and Computer Engineering honor society. He is the recipient of the Best Teaching Assistant Award of the Department of Electrical Engineering at USC in 2008 and 2009. He has served as a technical program committee member for several international conferences including MobiCASE, BodyNets, IEEE HealthCom, IEEE ICMLA, and IEEE ICHI.