Evolutionary Multi-Task Optimization: Foundations and Methodologies

Liang Feng is a Professor at the College of Computer Science, Chongqing University, China. His research interests include computational and artificial intelligence, memetic computing, big data optimization and learning, as well as transfer learning and optimization. His research on evolutionary multitasking won the 2019 IEEE Transactions on Evolutionary Computation Outstanding Paper Award. He is an associate editor of the IEEE Computational Intelligence Magazine, IEEE Transactions on Emerging Topics in Computational Intelligence, Memetic Computing, and Cognitive Computation. He is also the founding chair of the IEEE CIS Intelligent Systems Applications Technical Committee Task Force on "Transfer Learning & Transfer Optimization."

Abhishek Gupta is currently a scientist and technical lead at the Singapore Institute of Manufacturing Technology (SIMTech), Agency for Science, Technology and Research (A*STAR). Over the past 5 years, Dr. Gupta has been working at the intersectionof optimization, neuroevolution and machine learning, with particular focus on theories and algorithms in transfer and multi-task optimization. He is interested in applications in engineering design and scientific computing. He received the 2019 IEEE Transactions on Evolutionary Computation Outstanding Paper Award by the IEEE Computational Intelligence Society (CIS), for his work on evolutionary multi-tasking. He is an associate editor of the IEEE Transactions on Emerging Topics in Computational Intelligence, and is also the founding chair of the IEEE CIS Emergent Technology Technical Committee (ETTC) Task Force on Multitask Learning and Multitask Optimization.

Kay Chen Tan is a Chair Professor of Computational Intelligence at the Department of Computing, The Hong Kong Polytechnic University. He has published over 300 peer-reviewed articles and seven books. He is currently the Vice-President (Publications) of IEEE Computational Intelligence Society. He has served as the Editor-in-Chief of IEEE Transactions on Evolutionary Computation (2015-2020) and IEEE Computational Intelligence Magazine (2010-2013), and currently serves as the Editorial Board Member of several journals. He has received several IEEE outstanding paper awards, and is currently an IEEE Distinguished Lecturer Program (DLP) speaker and Chief Co-Editor of Springer Book Series on Machine Learning: Foundations, Methodologies, and Applications.

Yew-Soon Ong is a President Chair Professor in Computer Science at Nanyang Technological University (NTU), and serves as Chief Artificial Intelligence Scientist at the Agency for Science, Technology and Research Singapore. At NTU, he serves as co-Director of the Singtel-NTU Cognitive & Artificial Intelligence Joint Lab, and Director of the Data Science and Artificial Intelligence Research Center. His research interest is in machine learning, evolution and optimization. He is founding Editor-in-Chief of the IEEE Transactions on Emerging Topics in Computational Intelligence and serves as associate editor of IEEE Transactions on Neural Network & Learning Systems, IEEE Transactions on Evolutionary Computation, IEEE Transactions on Artificial Intelligence and others. He has received several IEEE outstanding paper awards and was listed as a Thomson Reuters highly cited researcher and among the World's Most Influential Scientific Minds.

梁峰是中國重慶大學計算機科學學院的教授。他的研究興趣包括計算和人工智能、模因計算、大數據優化和學習，以及轉移學習和優化。他在進化多任務方面的研究獲得了2019年IEEE進化計算傑出論文獎。他是IEEE計算智能雜誌、IEEE新興計算智能主題交易、模因計算和認知計算的副編輯。他還是IEEE CIS智能系統應用技術委員會“轉移學習和轉移優化”任務組的創始主席。

Abhishek Gupta目前是新加坡科學技術研究局（A*STAR）製造技術研究所（SIMTech）的科學家和技術負責人。在過去的5年中，Gupta博士一直在優化、神經進化和機器學習的交叉領域工作，尤其關注轉移和多任務優化的理論和算法。他對工程設計和科學計算的應用很感興趣。他因其在進化多任務方面的工作而獲得了2019年IEEE計算智能學會（CIS）頒發的IEEE進化計算傑出論文獎。他是IEEE新興計算智能主題交易的副編輯，也是IEEE CIS新興技術技術委員會（ETTC）多任務學習和多任務優化任務組的創始主席。

陳啟山是香港理工大學計算機科學系的計算智能主席教授。他發表了300多篇同行評審的文章和七本書。他目前是IEEE計算智能學會的副主席（出版物）。他曾擔任IEEE進化計算交易（2015-2020年）和IEEE計算智能雜誌（2010-2013年）的主編，目前擔任幾本期刊的編輯委員會成員。他曾獲得過幾項IEEE傑出論文獎，目前是IEEE傑出講師計劃（DLP）演講者和Springer機器學習書系《機器學習：基礎、方法和應用》的主編。

王耀順是新加坡南洋理工大學（NTU）計算機科學的主席教授，並擔任新加坡科學技術研究局的首席人工智能科學家。在NTU，他擔任新加坡電信-南洋理工聯合認知和人工智能實驗室的聯合主任，以及數據科學和人工智能研究中心的主任。他的研究興趣是機器學習、進化和優化。他是IEEE新興計算智能主題交易的創始主編，並擔任IEEE神經網絡和學習系統交易、IEEE進化計算交易、IEEE人工智能交易等期刊的副編輯。他曾獲得過幾項IEEE傑出論文獎，並被列為湯森路透高被引研究者和全球最具影響力的科學思想家之一。