光华讲坛——社会名流与企业家论坛第6736期

主题：AI-Powered Time Series Analytics:Unlocking Predictive Intelligence for Industry AI驱动的时间序列分析：为工业解锁预测智能

主讲人：新加坡科学技术研究所（A*STAR）信息与通信研究所部门负责人兼高级首席科学家 李晓黎教授

主持人：计算机与人工智能学院副院长 杨新教授

时间：4月23日10:00-11:00

地点：柳林校区通博楼B514

主办单位：计算机与人工智能学院 科研处

主讲人简介：

Xiaoli is currently the Department Head and Senior Principal Scientist at the Institute for Infocomm Research, A*STAR, Singapore. He also serves as an adjunct full professor at the School of Computer Science and Engineering, Nanyang Technological University, Singapore. With a diverse range of research interests, Xiaoli focuses on cutting-edge areas such as AI, data mining, machine learning, and bioinformatics. His contributions to these fields are evident through his extensive publication record, boasting over 370 peer-reviewed papers, and the recognition he has received, including over ten best paper awards. He has been serving as Editor-in-chief of the Annual Review of Artificial Intelligence and an Associate Editor for prestigious journals like IEEE Transactions on Artificial Intelligence and Knowledge and Information Systems, as well as conference chairs and area chairs of leading AI, machine learning, and data science conferences, such as AAAI, IJCAI, ICLR, NeurIPS, KDD, ICDM etc. Beyond academia, Xiaoli possesses extensive industry experience, where he has successfully spearheaded over 10 R&D projects in collaboration with major industry players across diverse sectors, such as aerospace, telecom, insurance, and professional service companies. Xiaoli is an IEEE Fellow and Fellow of Asia-Pacific Artificial Intelligence Association (AAIA). He has been recognized as one of the world's top 2% scientists in the AI domain by Stanford University, and Clarivate's Highly Cited Researcher.

李晓黎目前是新加坡科学技术研究所（A*STAR）信息与通信研究所的部门负责人兼高级首席科学家。他还在新加坡南洋理工大学计算机科学与工程学院担任兼职正教授。他拥有多样化的研究兴趣，专注于人工智能、数据挖掘、机器学习和生物信息学等前沿领域。他在这些领域的贡献通过其丰富的出版记录得以体现，他发表了超过370篇经过同行评审的论文，并获得了包括十多项最佳论文奖在内的诸多认可。他目前担任《人工智能年度评论》的主编，以及《IEEE人工智能汇刊》和《知识与信息系统》等知名期刊的副主编，同时还担任AAAI、IJCAI、ICLR、NeurIPS、KDD、ICDM等顶尖人工智能、机器学习和数据科学会议的会议主席和领域主席。除了学术领域，李晓黎还拥有丰富的行业经验，他成功领导了10多个与航空航天、电信、保险和专业服务公司等不同行业主要参与者合作的研发项目。李晓黎是电气与电子工程师协会（IEEE）会士和亚太人工智能协会（AAIA）会士。他被斯坦福大学评为全球人工智能领域排名前2%的科学家，并且是Clarivate高被引学者。

内容提要：

The explosion of sensor data across industries—ranging from manufacturing and aerospace to transportation and education—has unlocked immense potential for AI-driven time series analytics. This talk explores how cutting-edge AI techniques are transforming real-world applications, enabling predictive maintenance, optimizing decision-making, and enhancing learning experiences.

随着传感器数据在各行业的爆炸性增长——从制造业、航空航天到交通运输和教育——为人工智能驱动的时间序列分析解锁了巨大的潜力。本次演讲探讨了尖端人工智能技术如何变革现实世界的各类应用，助力实现预测性维护、优化决策制定以及提升学习体验。