May 8, 2012
Third-year Ph.D. student Da-Cheng Juan has been awarded a U.S. Corporate Intel Fellowship, 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.
Working with ECE Professor Diana Marculescu, Da-Cheng investigates how to apply machine learning for the performance modeling and optimization of chip-multiprocessors under physical constraints, such as power, temperature and process variations. His work explores and exploits the uncertain nature of these physical phenomena, creating an intriguing opportunity to convert this challenge into suitable applications for machine learning and statistical inference. The goal of his research is to provide fast, holistic methodologies for constructing truly variation-resilient and high-performance processors.
His research interests also include sparse regressions for VLSI testing optimization, low-power system designs, three-dimensional integration circuits and statistical machine learning. He earned both a B.Sc. and an M.Sc. in computer science at National Tsing Hua University in Taiwan.
For more on the Intel Corporate Fellowship, visit http://www.intel.com/education/highered/studentprograms/fellowship.htm.
Third-year Ph.D. student Da-Cheng Juan has been awarded a U.S. Corporate Intel Fellowship.