Advisory Board and Editors Optimization Theory & Computation
Lexing Xie
Lexing Xie is Professor in the Research School of Computer Science at the Australian National University. She leads the ANU Computational Media lab (http://cm.cecs.anu.edu.au/). Her current research interests are in machine learning on graphs and time series, especially on understanding individual and aggregate behaviour in online social networks, at the intersection of media, language and behaviour. She was research staff member at IBM T J Watson Research Center 2005-2010. She is Associate editor for ACM TOIS, ACM TiiS and PeerJ CS.
Ying Xu
Ying Xu received B.Eng, M.Eng, and PH.D. degrees from Harbin Institute of Technology, China, in 2003, 2005, and 2009, respectively. From 2009-2017, he had been a Senior Engineer in the North China Grid Dispatching and Control Center. He is a research scholar in the Department of Electrical and Computer Engineering, University of Central Florida, USA. His main research interests and experiences include power system analysis and control, system modeling and simulation, cooperative control, distributed control and optimization for networked systems.
Jun Ye
Jun Ye is a professor in the School of Civil and Environmental Engineering, Ningbo University, P.R. China. He has more than 30 years of experience in teaching and research. His research interests include soft computing, neutrosophic theory and applications, fuzzy decision making theory and methods, intelligent control, robotics, pattern recognition, medical diagnosis, fault diagnosis, and rock mechanics. He has published more than 300 papers in journals, written a number of books related to his research work, and finished a few projects sponsored by the government of P.R. China. He was selected as “Elsevier Chinese Most Cited Researchers” in 2019, 2020 and 2021. In 2022, he was also selected as the 8th edition of Research.com ranking of top Computer Science scientists.
Lisu Yu
Lisu Yu received a Ph.D. degree at Key Laboratory of Information Coding and Transmission, Southwest Jiaotong University, Chengdu, China. He was a Visiting Scholar at the University of Arkansas, Fayetteville, AR, USA, and the University of Houston, Houston, TX, USA. He has served as the student activities chair of IEEE Communication Society Chengdu Chapter and several international conferences technical program committee (TPC) members, Section Chair, and Special Track Chair. He is now serving as an Area Editor of the Elsevier Physical Communication, Associate Area Editor of Journal of Electronics & Information Technology, and Editor of the Elsevier Computer Communications, PeerJ Computer Science, PLOS ONE, and Frontiers in Signal Processing for Communications, and a Managing Guest Editor of Elsevier Internet of Things and Cyber-Physical Systems, and IEEE Communications Society Technical Committee on Green Communications and Computing (TCGCC) and Signal Processing and Computing for Communications (SPCC) Members. He is a Senior Member of CIC. He is currently an associate professor in the School of Information Engineering, Nanchang University, China. His main research interests include advanced wireless communications (B5G/6G), machine learning, non-orthogonal multiple access (NOMA), ultra-dense network (UDN), unmanned aerial vehicle (UAV), visible light communication (VLC), and blockchain.
Yu-Dong Zhang
From 2010 to 2012, Dr. Yudong (Eugene) Zhang worked at Columbia University as a postdoc. From 2012 to 2013, he worked as an assistant research scientist at Columbia University and New York State Psychiatric Institute. From 2013 to 2017, he is a full professor and doctoral advisor at School of Computer Science and Technology at Nanjing Normal University. He also serves as the academic leader of the“Jiangsu key laboratory of 3D printing equipment and manufacturing”. At present, he is a Professor in Knowledge Discovery and Machine Learning, in Department of Informatics, University of Leicester, United Kingdom. His research interests focus on computer-aided medical diagnosis and biomedical image processing.