Keynote Speakers

 

Prof. Derong Liu, (IEEE / IAPR / INNS / CAA Fellow)
University of Illinois at Chicago, USA / Guangdong University of Technology, China


  • Derong Liu received the PhD degree in electrical engineering from the University of Notre Dame in 1994. He became a Full Professor of Electrical and Computer Engineering and of Computer Science at the University of Illinois at Chicago in 2006. He was selected for the “100 Talents Program” by the Chinese Academy of Sciences in 2008, and he served as the Associate Director of The State Key Laboratory of Management and Control for Complex Systems at the Institute of Automation, from 2010 to 2015. He is now a professor at Guangdong University of Technology, China. He has published 19 books. He is the Editor-in-Chief of Artificial Intelligence Review (Springer). He was the Editor-in-Chief of the IEEE Transactions on Neural Networks and Learning Systems from 2010 to 2105. He is a Fellow of the IEEE, a Fellow of the International Neural Network Society, and a Fellow of the International Association of Pattern Recognition.

 

Prof. Qingfu Zhang (张青富) IEEE Fellow
City University of Hong Kong, Hong Kong, China


  • Qingfu Zhang is a Professor at the Department of Computer Science, City University of Hong Kong. His main research interests include evolutionary computation, optimization, neural networks, data analysis, and their applications. His MOEA/D has been one of most researched and used multiobjective evolutionary algorithmic framework. He is currently leading the Metaheuristic Optimization Research Group in City University of Hong Kong. Professor Zhang is an Associate Editor of the IEEE Transactions on Evolutionary Computation and the IEEE Transactions Cybernetics. He was awarded the 2010 IEEE Transactions on Evolutionary Computation Outstanding Paper Award. He is on the list of the Thomson Reuters 2016 highly cited researchers in computer science. He is a fellow of IEEE.

 

 

 

 

Jason Dai (戴金权)
Big Data Technologies, Intel


  • CTO of Big Data Technologies, Senior Principal Engineer, Intel
  • Jason Dai,Principle Engineer and CTO, Big Data Technologies, Intel; co-chair of Strata + Hadoop World Beijing. R&D for advanced Big Data analytics (incl. distributed machine/deep learning) and collaborations with leading research labs (e.g., UC Berkeley AMPLab) at Intel, w/ global engineering teams located in both Silicon Valley and Shanghai. Creator of BigDL (https://github.com/intel-analytics/BigDL), a distributed deep learning framework on Apache Spark; BigDL allows users to build AI-powered Big Data analytics (e.g., image, speech, NLP, time series, etc.) directly on top of existing Big Data (Hadoop/Spark) platform. Internationally recognized expert on big data, cloud and distributed machine learning: program co-chair of Strata + Hadoop World Beijing, committer and PMC member of Apache Spark, etc.

    戴金权,英特尔高级首席工程师、大数据技术全球CTO,负责领导英特尔全球工程团队在高级大数据分析上的研发工作,他带领团队一手研发了分布式深度学习库 BigDL和Analytics Zoo大数据分析和人工智能的平台,致力于推动AI技术的普世化。

    戴金权是英特尔的高级首席工程师、大数据技术全球CTO,负责领导英特尔全球(位于硅谷和上海)的工程团队在高级大数据分析(包括分布式机器学习和深度学习)上的研发工作。

 

 

Prof. Yutong Lu (卢宇彤) ISC Fellow
National Supercomputing Center, China; Sun Yat-sen University, China


  • English Profile will be updated soon.

    卢宇彤,女,博士,教授,博导,现任中山大学数据科学与计算机学院教授,国家超级计算广州中心主任,ISC Fellow,曾任国防科技大学计算机学院软件所副所长,银河天河工程副总师。

    卢教授长期从事国产高性能计算大规模并行系统软件的研究与实现,参加了五代银河系统和两代天河系统的研制工作。面向高性能计算系统的高性能、高可扩展、高可靠和易用性的挑战,在自主高速互连通信软件系统、并行消息传递程序运行支撑系统、大规模并行文件系统和大规模资源管理系统等高性能计算核心关键系统软件研究领域取得了一系列重要的技术创新与突破。

    卢教授获得国家科技进步特等奖1项、一等奖1项,军队科技进步一等奖4项,二等奖6项。发表论文72篇,其中SCI、EI检索28篇,授权专利18项。获国家教育部“新世纪优秀人才”支持计划,全军巾帼建功先进个人,荣立二等功2次。中国计算机学会女工委主任、高专委常委、CCF理事。