NCKUEE Announcement
| Date | 2017-08-09 |
|---|---|
| Title | (8/14) Tutorials on Neuromorphic and Deep Learning Acceleration |
| Content | IEEE CASS Tainan Chapter will sponsor two AI-related tutorials on 8/14. Attached please find the two speakers’ biographies and their topics. You are cordially invited to these two tutorials or forward the news. Please also encourage your students to register and come to the tutorials. The registration information for the two tutorials is listed as follows. Thank you very much. Date: Mon, Aug. 14, 2017. Time: 9:30am-noon & 2:00pm-4:30pm Tutorial Room: LY(令洋廳) Room @ NCKU, EE B1F Speakers: Prof. Yiran Chen and Prof. Hai (Helen) Li, both from Duke University Tutorial on “Neuromorphic Computing & Deep Learning” Registration link: https://goo.gl/forms/CmeOMelA6J7P7k2K2 Registration Fee: 1) Academia: $NT 1000; 2) Industry: $NT 2500. For the payment methods, please refer to the website of CASS Tainan Chapter: http://belab.ee.ncku.edu.tw/IEEE/CAS_TWTN/newspage5.html Due day of registration fee payment: 8/11(Fri) Note:Please register and then pay. Detailed Information: [Tutorial #1] Neuromorphic and Deep Learning Acceleration – Algorithm, Software and System Time: 9:30am-noon Speaker: Prof. Yiran Chen, ECE, Duke University, USA Biography: Dr. Yiran Chen received B.S and M.S. (both with honor) from Tsinghua University and Ph.D. from Purdue University in 2005. After five years in industry, he joined University of Pittsburgh in 2010 as Assistant Professor and then promoted to Associate Professor in 2014, held Bicentennial Alumni Faculty Fellow. He now is Associate Professor of the Department of Electrical and Computer Engineering at Duke University and serving as the co-director of Duke Center for Evolutionary Intelligence, focusing on the research of new memory and storage systems, machine learning and neuromorphic computing, and mobile computing systems. Dr. Chen has published one book, a dozen of book chapters, and more than 300 technical papers. He has been granted 91 US and international patents with other 11 pending applications. He is the associate editor of IEEE TCAD, IEEE D&T, IEEE ESL, ACM JETC, ACM TCPS, and served on the technical and organization committees of more than 40 international conferences. He received 5 best paper awards from ISQED, ISLPED, GLSVLSI, ESWEEK, DATE, and the other a dozen of nominations from premier international conferences, etc. He is the recipient of NSF CAREER award, ACM SIGDA outstanding new faculty award. [Tutorial #2] Neuromorphic and Deep Learning Acceleration – Technology, Hardware and Implementation Time: 2:00pm-4:30pm Speaker: Prof. Hai (Helen) Li, ECE, Duke University, USA Biography: Hai (Helen) Li received the B.S. and M.S. degrees from Tsinghua University, Beijing, China, and the Ph.D. degree from the Department of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA, in 2004. She is currently a Clare Boothe Luce Associate Professor with the Department of Electrical and Computer Engineering at Duke University, Durham, NC, USA. She was with Qualcomm Inc., San Diego, CA, USA, Intel Corporation, Santa Clara, CA, Seagate Technology, Bloomington, MN, USA, the Polytechnic Institute of New York University, Brooklyn, NY, USA, and the University of Pittsburgh, Pittsburgh, PA, USA. She has authored or co-authored over 190 technical papers published in peer-reviewed journals and conferences and holds 76 granted U.S. patents. She authored a book entitled Nonvolatile Memory Design: Magnetic, Resistive, and Phase Changing (CRC Press, 2011). Her current research interests include memory design and architecture, neuromorphic architecture for brain-inspired computing systems, and architecture/circuit/device cross-layer optimization for low power and high performance. Dr. Li serves as an Associate Editor of IEEE TVLSI, TCAD, TMSCS, TECS, CEM, ACM TODAES, and the IET CPS. She has served as technical program committee members for over 20 international conference series. She was a recipient of the NSF CAREER Award in 2012, the DARPA YFA Award in 2013, |
| Member | EE Office |
| Attachment | None |