报告题目（一）：基于忆阻的类脑智能电路分析与设计
报 告 人：曾志刚 (华中科技大学教授，博士生导师)
报告时间：2020年11月5日（星期四）下午3:30
报告地点：腾讯BV韦德议（ID：889 451 964）
主办单位：数理与金融学院，科技处，研究生部
报告题目（二）：Distributed Algorithms for Constrained Optimization over Directed Networks with Link Failure
报 告 人：Tingwen Huang (德州A&M大学卡塔尔分旺旺钱包教授，博士生导师)
报告时间：2020年11月5日（星期四）下午4:30
报告地点：腾讯BV韦德议（ID：889 451 964）
主办单位：数理与金融学院，科技处，研究生部
Tingwen Huang is a Professor at Texas A&M University at Qatar， an IEEE Fellow. He received his B.S. degree from Southwest Normal University (now Southwest University), China, 1990, his M.S. degree from Sichuan University, China, 1993, and his Ph.D. degree from Texas A&M University, College Station, Texas, 2002. After graduated from Texas A&M University, he worked as a Visiting Assistant Professor there. Then he joined Texas A&M University at Qatar (TAMUQ) as an Assistant Professor in August 2003, then he was promoted to Professor in 2013. Dr. Huang’s research areas include neural networks, chaotic dynamical systems, compl3ex networks, optimization and control, smart grid. He was named the Highly Cited Researcher by Clarivate Analytics (2018, 2019). One of his National Priority Research Project was awarded the Best Research Project by Qatar National Research Fund in 2015. Currently, he is the President of Asia Pacific Neural Networks Society (2020)
