光華講壇——社會(huì)名流與企業(yè)家論壇第6736期
主題：AI-Powered Time Series Analytics:Unlocking Predictive Intelligence for Industry AI驅(qū)動(dòng)的時(shí)間序列分析：為工業(yè)解鎖預(yù)測(cè)智能
主講人：新加坡科學(xué)技術(shù)研究所（A*STAR）信息與通信研究所部門(mén)負(fù)責(zé)人兼高級(jí)首席科學(xué)家 李曉黎教授
主持人：計(jì)算機(jī)與人工智能學(xué)院副院長(zhǎng) 楊新教授
時(shí)間：4月23日10:00-11:00
地點(diǎn)：柳林校區(qū)通博樓B514
主辦單位：計(jì)算機(jī)與人工智能學(xué)院 科研處
主講人簡(jiǎn)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.
李曉黎目前是新加坡科學(xué)技術(shù)研究所（A*STAR）信息與通信研究所的部門(mén)負(fù)責(zé)人兼高級(jí)首席科學(xué)家。他還在新加坡南洋理工大學(xué)計(jì)算機(jī)科學(xué)與工程學(xué)院擔(dān)任兼職正教授。他擁有多樣化的研究興趣，專(zhuān)注于人工智能、數(shù)據(jù)挖掘、機(jī)器學(xué)習(xí)和生物信息學(xué)等前沿領(lǐng)域。他在這些領(lǐng)域的貢獻(xiàn)通過(guò)其豐富的出版記錄得以體現(xiàn)，他發(fā)表了超過(guò)370篇經(jīng)過(guò)同行評(píng)審的論文，并獲得了包括十多項(xiàng)最佳論文獎(jiǎng)在內(nèi)的諸多認(rèn)可。他目前擔(dān)任《人工智能年度評(píng)論》的主編，以及《IEEE人工智能匯刊》和《知識(shí)與信息系統(tǒng)》等知名期刊的副主編，同時(shí)還擔(dān)任AAAI、IJCAI、ICLR、NeurIPS、KDD、ICDM等頂尖人工智能、機(jī)器學(xué)習(xí)和數(shù)據(jù)科學(xué)會(huì)議的會(huì)議主席和領(lǐng)域主席。除了學(xué)術(shù)領(lǐng)域，李曉黎還擁有豐富的行業(yè)經(jīng)驗(yàn)，他成功領(lǐng)導(dǎo)了10多個(gè)與航空航天、電信、保險(xiǎn)和專(zhuān)業(yè)服務(wù)公司等不同行業(yè)主要參與者合作的研發(fā)項(xiàng)目。李曉黎是電氣與電子工程師協(xié)會(huì)（IEEE）會(huì)士和亞太人工智能協(xié)會(huì)（AAIA）會(huì)士。他被斯坦福大學(xué)評(píng)為全球人工智能領(lǐng)域排名前2%的科學(xué)家，并且是Clarivate高被引學(xué)者。
內(nèi)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.
隨著傳感器數(shù)據(jù)在各行業(yè)的爆炸性增長(zhǎng)——從制造業(yè)、航空航天到交通運(yùn)輸和教育——為人工智能驅(qū)動(dòng)的時(shí)間序列分析解鎖了巨大的潛力。本次演講探討了尖端人工智能技術(shù)如何變革現(xiàn)實(shí)世界的各類(lèi)應(yīng)用，助力實(shí)現(xiàn)預(yù)測(cè)性維護(hù)、優(yōu)化決策制定以及提升學(xué)習(xí)體驗(yàn)。
