Tuesday, March 11, 2014 - 8:45am to 9:45am
KEC 1007

Speaker Information

Jason Gu
Assistant Professor
Singapore University of Technology and Design


Location-based services such as targeted advertisement, geo-social networking and emergency services, are becoming increasingly popular for mobile applications. While on-board sensors on the smartphones such as GPS are able to provide accurate outdoor locations, accurate indoor localization schemes now still require either additional infrastructure support (e.g., ranging devices) or extensive training before system deployment (e.g., WIFI signal fingerprinting). In this talk, I will talk about our latest work that uses wireless access point sequence as a new metric for fingerprinting-based indoor localization systems. This metric is resilient to time varying WIFI signal changes, heterogeneous devices and dynamic power control of wireless access points, while is able to achieve very good system performance. Based on this metric, we designed the first signal-fingerprinting indoor localization system that is able to automatically construct the finger-print map and completely eliminate the heavy training. 

Another topic I will cover in this talk is large-scale battery management. Large-scale batteries have been widely adopted in applications such as electric vehicles and energy storage in power grids. While the improvement of the battery energy density is relatively slow in the past decade, in this talk, I will discuss how the exploration of battery cell reconfigurations at large-scale battery systems can benefit from real-time dynamic controls for both discharging and charging processes. The experimental results with commercial battery cells on our customized testbed, as well as EV-trace driven emulations demonstrate significantly improved energy efficiency of our proposed designs.

Finally, I'll briefly talk about the convergence of mobile device energy management and battery energy management, and how battery-aware energy management can help prolong the mobile device lifetimes in realistic environments.

Speaker Bio

Dr. Yu (Jason) Gu is currently an Assistant Professor at Singapore University of Technology and Design. He also holds a joint appointment as a research scientist at Advanced Digital Sciences Center, University of Illinois, Urbana-Champaign. He was also a visiting assistant professor at Massachusetts Institute of Technology for a year in 2011. He received his PhD from the University of Minnesota, Twin Cities in 2010. Currently his research spans cyber-physical systems, mobile computing, wireless networks, RFID systems, energy networks and network system securities, with over 12 million Singapore Dollars funding support from various government agencies and industrial partners. 

Dr. Gu is the author and co-author of over 70 peer-reviewed papers in premier journals and conferences in his fields, with the best paper/demo awards from IEEE WCNC’13, IEEE/ACM IPSN’12 (runner-up), MSN’11 and ACM SenSys’10 (runner-up), as well as spotlight papers in IEEE TMC and IEEE TPDS. His publications have been selected as graduate-level course and seminar materials by over 20 major research universities in the United States and other countries. He is the recipient of NSF/IEEE-TCPP Curriculum Initiative on Parallel and Distributed Computing Early Adopter Award in 2012 and IBM Smarter Planet Faculty Innovation Award, 2012. Dr. Gu is a member of IEEE, IEEE ComSoc and ACM.