【看完有想法的可以与海创院联系】
邓侃
上海交通大学本科及硕士，美国卡内基梅隆大学（CMU）计算机学院暨机器人研究所博士，专攻人工智能及数据挖掘。历任美国甲骨文公司（Oracle）主任系统架构师，美国泰为手机导航公司（Telenav）北京分公司总经理，百度高级总监并主管网页搜索和知识图谱。2015年，邓侃创建北京大数医达科技有限公司，旨在将深度强化学习技术应用于医疗健康领域。
域。
https://yq.aliyun.com/articles/277465
戴文渊
1983年生，毕业于上海交通大学，ACM世界冠军，第四范式创始人。
方海
计算机游戏策略创业。友盟联合创始人及CTO，被收购。此前曾在Google美国担任广告及电子商务系统高级工程师。耶鲁、中科大少年班。
何田
美国明尼苏达大学计算机科学与工程系教授，IEEE Fellow, 在顶级期刊和著名国际会议上发表260余篇文章（Google Scholar 被引用次数超过 21,000 次 H-Index 61），其中包括超过70篇IEEE/ACM Trans.系列期刊和超过100篇顶级计算机会议文章。在微软学术（Microsoft Academic）的计算机科学嵌入式系统方向的个人学术排名中，全球排名第七。现任包括ACM/IEEE TON，IEEE TC, ACM TOSN在内的七个国际期刊的编委或主编，曾担任多个会议主席和程序委员会主席。近年获得的奖项包括：明尼苏达大学McKnight Land-Grant Professor冠名教授头衔、George W. Taylor Award、NSF CAREER Award, K. C. Wong Award，七项国际会议的最佳论文奖（包括业界顶会MobiCom和SenSys），国家自然科学基金委员会港澳及国际合作项目两次（基础及延续，原海外杰青）, 浙江大学求是教授奖和上海千人称号。现学术休假任“饿了么”公司首席科学顾问，推广大规模智能物联网优化物流效率。
Martin Muller
加拿大阿尔伯塔大学计算机系教授，计算机围棋专家，AlphaGo主要研发人员David Silver博士导师。
Michael Buro
加拿大阿尔伯塔大学计算机系教授，计算机游戏专家，实时策略游戏等。
Randy Goebel
加拿大阿尔伯塔大学 计算机科学学院教授
1985年在不列颠哥伦比亚大学获得计算机科学Ph.D
他的研究方向主要在于知识表示、基于逻辑的非演绎推理，机器学习，可视化，信念修正，系统生物以及计算语言学
Professor from Department of Computing Science, University of Alberta
Ph.D. Computer Science, 1985, University of British Columbia.
His research interests are in knowledge representation, logic-based non-deductive reasoning, machine learning, visualization, belief revision, systems biology, and computational linguistics
https://webdocs.cs.ualberta.ca/~goebel/
Russell Greiner
加拿大阿尔伯塔大学计算机科学教授。AAAI成员，因其在生物信息学和机器学习领域的杰出工作而享有声誉。他是阿尔伯塔机器学习创新中心的首席研究员，已经发表了超过200篇期刊论文和专利
在人工智能非确定性和分子生物学智能系统与机器学习国际会议中，他担任了主席。 他是《计算智能》杂志的首席编辑，也是《机器学习研究》杂志，《机器学习》和《人工智能研究学报》编辑组的成员。
Professor of Computing Science at the University of Alberta. He is a Fellow of the AAAI (Association for the Advancement of Artificial Intelligence) and well known for his work in Machine Learning and Bioinformatics. Professor Greiner is one of the principal investigators at the Alberta Innovates Centre for Machine Learning (AICML) and has published over 200 refereed papers and patents.
He has served as the chair of International Conference on Machine Learning, Intelligent Systems for Molecular Biology and Uncertainty in Artificial Intelligence. He is the Editor-in-Chief for Computational Intelligence (journal), and serves as a member of editorial board for Journal of Machine Learning Research, Machine Learning (journal) and Journal of Artificial Intelligence Research.
https://en.wikipedia.org/wiki/Russell_Greiner
Robert Holte
加拿大阿尔伯塔大学 计算机科学学院教授
Ph.D., Electrical Engineering, Brunel University (UK), 1988
1988年在Brunel大学电力工程专业获得Ph，D
Professor from Department of Computing Science, University of Alberta
Ph.D., Electrical Engineering, Brunel University (UK), 1988
His research on heuristic search investigates automatic techniques for speeding up search, such as the automatic creation of search heuristics and the compilation of search problem definitions into highly efficient C code. His research on A.I. for curling focuses primarily on the strategic aspect of the game. As in any game, A.I. should be able to make shot selections that maximize the probability of winning the game. Technically, the main challenge in curling is that its state and action spaces are continuous.
https://www.ualberta.ca/science/ … ectory/robert-holte
Osmar Zaïane
加拿大阿尔伯塔大学计算机系科学教授，阿尔伯塔机器智能研究院（Amii）科学主任。在国际会议和顶级期刊发表了270多篇文章。获得 2010 年度ACM SIGKDD SERVICE AWARD。
1999年获得加拿大西蒙弗雷泽大学（SFU）博士学位。在国际会议和顶级期刊发表了270多篇文章。他是许多国际期刊在数据挖掘和数据分析方向的副主编，并且在知识发现和数据挖掘领域的国际会议中担任节目主席和总主席。Zaiane 博士获了许多奖, 包括 2010 年度ACM数据挖掘及知识发现专委会杰出贡献奖（SIGKDD SERVICE AWARD）,该奖来自负责全球一流的数据科学、大型数据和数据挖掘协会和会议的ACM数据挖掘特别兴趣小组。
Osmar R. Zaïane is a Professor in Computing Science at the University of Alberta, Canada, and Scientific Director of the Alberta Machine Intelligence Institute (Amii). Dr. Zaiane obtained his Ph.D. from Simon Fraser University, Canada, in 1999. He has published more than 270 papers in refereed international conferences and journals. He is Associate Editor of many International Journals on data mining and data analytics and served as program chair and general chair for scores of international conferences in the field of knowledge discovery and data mining. Dr. Zaiane received numerous awards including the 2010 ACM SIGKDD Service Award from the ACM Special Interest Group on Data Mining, which runs the world’s premier data science, big data, and data mining association and conference.
来源：学校官网个人主页 https://webdocs.cs.ualberta.ca/~zaiane/htmldocs/bio.html
Richard Sutton
【简介】深度学习领域杰出的科学家, 阿尔伯塔大学计算机系科学教授。教材《强化学习：来自麻省理工学院出版社的介绍》的共同作者，加拿大皇家学会和人工智能促进会的研究员。主管阿尔伯塔大学强化学习和人工智能实验室, 也是阿尔伯塔机器智能学会的主要研究员。
Richard S. Sutton is a distinguished research scientist at DeepMind and a professor in the department of computing science at the University of Alberta. Before joining the University of Alberta in 2003, he worked in industry at AT&T and GTE Labs, and in academia at the University of Massachusetts. Rich received a PhD in computer science from the University of Massachusetts in 1984 and a BA in psychology from Stanford University in 1978. He is co-author of the textbook Reinforcement Learning: An Introduction from MIT Press. He is also a fellow of the Royal Society of Canada and of the Association for the Advancement of Artificial Intelligence. At the University of Alberta, Rich directs the Reinforcement Learning and Artificial Intelligence Laboratory and is a principal investigator of the Alberta Machine Intelligence Institute. His research interests center on the learning problems facing a decision-maker interacting with its environment, which he sees as central to artificial intelligence.
Richard Sutton是深度学习领域杰出的科学家, 也是阿尔伯塔大学计算机系科学教授。在2003年加入阿尔伯塔大学之前, 他曾在AT&T和 GTE 实验室工作，在马萨诸塞州大学从事学术研究。1984年, 他获得美国马萨诸塞州大学获得计算机科学博士学位。他是教材《强化学习：入门》（麻省理工学院出版社）的共同作者。他也是加拿大皇家学会和人工智能促进会的研究员。主管阿尔伯塔大学强化学习和人工智能实验室, 也是阿尔伯塔机器智能学会的主要研究员。他的研究兴趣主要在决策与环境相互作用时的学习问题，该问题被他视为人工智能的核心问题。
来源：学校官网个人主页 http://www.incompleteideas.net/BriefBio.html
Dale Schuurmans
【简介】谷歌大脑的研究科学家, 阿尔伯塔大学计算机科学教授，人工智能发展协会研究员。目前担任 IEEE 关于模式分析和机器智能主题的副主编, 研究机器学习和人工智能领域, 包括模型选择、 在线学习、对抗性优化等。
Dale Schuurmans is a Research Scientist at Google Brain, Professor of Computing Science at the University of Alberta, and Fellow of the Association for the Advancement of Artificial Intelligence. He currently serves as Associate Editor in Chief of IEEE Transactions on Pattern Analysis and Machine Intelligence, and has previously served as Associate Editor for JMLR, AIJ, JAIR and MLJ and as Program Co-chair for AAAI-2016, NIPS-2008 and ICML-2004. He has worked in many areas of machine learning and artificial intelligence, including model selection, on-line learning, adversarial optimization, boolean satisfiability, sequential decision making, reinforcement learning, Bayesian optimization, semi-definite methods for unsupervised learning, dimensionality reduction, and robust estimation.
Dale Schuurmans是谷歌大脑的研究科学家, 阿尔伯塔大学计算机科学教授，人工智能发展协会研究员。目前担任 IEEE 关于模式分析和机器智能主题的副主编, 以前曾是 MLR, AIJ, JAIR and MLJ and as Program Co-chair for AAAI-2016, NIPS-2008 and ICML-2004的副主编。研究机器学习和人工智能领域, 包括模型选择, 在线学习, 对抗性优化, 布尔满足, 顺序决策, 强化学习, 贝叶斯优化,非监督学习、降维和稳健估计的半定方法。
来源：谷歌AI人物 https://ai.google/research/people/DaleSchuurmans
Michael Bowling
【简介】阿尔伯塔大学计算机系科学教授，加强学习和人工智能 (RLAI) 小组和阿尔伯塔机器学习 (AICML)独创性中心的主要研究员。研究重点是机器学习、游戏和机器人。
I am a full professor at the University of Alberta. My research focuses on machine learning, games, and robotics, and I’m particularly fascinated by the problem of how computers can learn to play games through experience. I am the leader of the Computer Poker Research Group, which has built some of the best poker playing programs on the planet. The programs have won international AI competitions as well as being the first to beat top professional players in a meaningful competition. I am also a principal investigator in the Reinforcement Learning and Artificial Intelligence (RLAI) group and the Alberta Ingenuity Centre for Machine Learning (AICML). I completed my Ph.D. at Carnegie Mellon University, where my dissertation was focused on multiagent learning and I was extensively involved in the RoboCup initiative. My research has been featured on the television programs Scientific American Frontiers, National Geographic Today, and Discovery Channel Canada, as well appearing in the New York Times, Wired, on CBC and BBC radio, and twice in exhibits at the Smithsonian Museums in Washington, DC.
阿尔伯塔大学计算机系科学教授。研究重点是机器学习、游戏和机器人。是计算机扑克研究小组的领导者, 这个小组生产了很多优秀的扑克游戏程序，获得过国际人工智能竞赛奖项, 也创造了世界上第一个在比赛中击败顶尖专业选手的程序。是加强学习和人工智能 (RLAI) 小组和阿尔伯塔机器学习 (AICML)独创性中心的主要研究员。2003年获得卡耐基梅隆大学博士学位。
来源：学校官网个人主页 https://webdocs.cs.ualberta.ca/~bowling/
