September 25, 2012
ECE graduate student and Intel Ph.D. fellow Da-Cheng Juan earned one of three best poster awards at the annual Intel Ph.D. Fellowship Forum, which brings together talented students from top academic research institutions around the globe. As part of the forum, the 2012 Intel Ph.D. fellows were recognized and shared their research during the poster session, where the fellows were judged based on overall presentation. The three posters receiving the most votes earned best poster honors.
For his poster, Da-Cheng provided two case studies of applying machine learning on system-level optimization: (1) adapting reinforcement learning to improve performance and (2) sparse auto-regression for modeling and mitigation of transient thermal hotspots. Experimental results confirm that the performance, energy efficiency and reliability of a computing system can all be significantly improved with these two learning techniques.
The U.S. Corporate Intel Fellowship is a highly competitive and prestigious award reserved for Ph.D. candidates pursuing leading-edge research in fields related to Intel's business and research interests at select universities. The fellowship includes full tuition for one year, a stipend and travel budget, and an Intel technical liaison to serve as a mentor. Students who earn an Intel Fellowship are also prioritized for internships and hiring with the company.
For more on the Intel Corporate Fellowship, visit www.intel.com/education/highered/studentprograms/fellowship.htm.