國立清華大學北美基金會 焦點校友系列 - 李憲信 博士
Updated: Jan 19
講者: Dr. Hsien-Hsin Sean Lee 李憲信 博士 (電機 90 級)
主題: Challenges of Social Network Computing
* 01/29/2022 Saturday @6pm PST (美國西岸時間)
* 01/29/2022 Saturday @9pm EST (美國東岸時間)
* 01/30/2022 Sunday @10am TST (台灣時間)
Social networks are deeply woven into our daily life. These Internet platforms host a plethora of web services to keep people connected, provide users customized information, and promote data transparency to democratize information. In the not-too-distant future, social network will be organically integrated into the Metaverse. Our work, education, travel, business activities, entertainment, and social interaction will be much more enriched with brand-new, immersive, three-dimensional experiences. To realize this vision, not only do novel AI or machine learning techniques play a pivotal role in perfecting multifarious services for best users’ experiences, the computing and communication infrastructure also need to be re-architected and optimized. Significant computing challenges including scalability, efficiency, users’ privacy protection, and the implication to the environmental sustainability, etc., require meticulous and methodical evaluation by system designers when enabling such at-scale compute platforms. In this talk, I will discuss these challenges and potential solution space as well as the related research directions to address these pressing needs in modern and future computing platforms from the perspective of futuristic social network computing.
Hsien-Hsin Sean Lee leads the Systems for Machine Learning Research at Facebook AI Research (FAIR) at Meta. Previously, he directed the EDA design flow solutions and the PDK R&D at Taiwan Semiconductor Manufacturing Co. (TSMC), Taiwan. Prior to TSMC, he was a tenured Associate Professor in the School of Electrical and Computer Engineering at Georgia Tech, an Architecture Manager at Agere Systems, and a senior CPU architect at Intel Corporation. Dr. Lee received his BS in Electrical Engineering from National Tsing-Hua University and was the Valedictorian of the Class 1990 Commencement. He then received his M.S. and Ph.D. in Computer Science and Engineering from the University of Michigan at Ann Arbor. He is a Fellow of the IEEE.
主持人: 姚正邦 博士 (電機 92 級)