The UMBC CSEE Seminar Series Presents
Online Learning for Cognitive Radios,
Power Grids, and Brain Imaging
Dr. Seung-Jun Kim
Department of CSEE, UMBC
1-2pm, Friday, 23 October 2015, ITE 325b
With the advent of big data era with pervasive sensors and powerful computational intelligence techniques, application of data-driven techniques to various domains is becoming quite popular. In this talk, some of our recent research activities in the signal processing and smart systems lab (SPSS) will be sampled. In particular, it will be highlighted how the online learning techniques can benefit different applications in the wireless communication, power systems, and medical imaging areas.
Seung-Jun Kim received his B.S. and M.S. degrees from Seoul National University in Seoul, Korea, and his Ph.D. from the University of California at Santa Barbara in 2005, all in electrical engineering. From 2005 to 2008, he worked for NEC Laboratories America in Princeton, New Jersey. He was with the University of Minnesota during 2008-2014, where his final title was Research Associate Professor. In August 2014, he joined the CSEE department at UMBC. Dr. Kim’s research interests include statistical signal processing, optimization, and machine learning, with applications to wireless communication and networking, future power systems, and big data analytics.
Hosts: Professors Fow-Sen Choa (Sorry, you need javascript to view this email address. ) and Alan T. Sherman (Sorry, you need javascript to view this email address. )
About the CSEE Seminar Series: The UMBC Department of Computer Science and Electrical Engineering presents technical talks on current significant research projects of broad interest to the Department and the research community. Each talk is free and open to the public. We welcome your feedback and suggestions for future talks. Upcoming talks include the following.
Signature Track (Fridays, 12noon-1pm, in ITE 102):
- Oct. 30, Rong Chen, SOM Faculty, computational neuroscience
- Nov.13, John Kloetzli (Firaxis), computer graphics
- Weekly Track (Thursday 12noon-1pm, or Friday 1-2pm, in ITE 325):
- Nov. 20 Hamed Pirsiavash (UMBC), computer vision
- Nov. 6 Nilanjan Banerjee (UMBC), Internet of Things
- Dec. 4 Ting Zhu (UMBC), energy system and big data
Other UMBC CSEE Seminar Series: The UMBC Cyber Defense Lab (CDL) meets biweekly Fridays 11:15am-12:30pm in ITE 231, for research talks about cybersecurity.