| Prof. Luo LeSun Yat-sen University, China Le Luo, a professor in the School of Physics and Astronomy at Sun Yat-sen University, is a prominent scholar recruited through the Hundred Talents Program and recognized as a distinguished young talent under the Guangdong Zhujiang Talent Plan. His research endeavors revolve around atomic and molecular optical physics, quantum information science, and precision measurement techniques. Professor Luo has spearheaded various research initiatives, including a General Program funded by the National Natural Science Foundation of China and a pivotal core technology development project aligned with Sun Yat-sen University’s “Three Major Construction” initiative, specifically involving trapped ion distributed quantum computing. He has authored over 30 academic publications that have garnered more than 2,500 citations, with appearances in prestigious journals such as Nature, Nature Communications, and Physical Review Letters. His research accomplishments have garnered attention in news articles published by Nature and Science, as well as on the cover of Physics Today, a publication of the American Institute of Physics. Professor Luo has been honored with numerous awards, including the Wang Daheng Optical Award for Graduate Students bestowed by the Chinese Optical Society, the Fritz London Doctoral Research Award, the Chinese Government Award for Outstanding Self-financed Students Studying Overseas, the United Quantum Institute Postdoctoral Award, the Purdue University Foundation Faculty Research Grant, and the Indiana University Collaborative Research Award. |
Prof. Weihua XuSouthwest University, China Weihua Xu, a professor at the School of Artificial Intelligence at Southwest University, is a doctoral supervisor, a leader in academic and technical fields in Chongqing, a key teacher for young and middle-aged teachers in Chongqing, and a nominee for the top ten young science and technology youth award in Chongqing. He also serves as a senior member of the International Rough Set Society, a senior member of the Chinese Association for Artificial Intelligence (CAAI), the deputy director of the Knowledge Engineering and Distributed Intelligence Committee of CAAI, the secretary-general of the Granular Computing and Knowledge Discovery Committee of CAAI. He is the associate editor of the international SCI journals IJMLC and JIFS, and an editorial board member of the Journal of Zhengzhou University (Science Edition). He has published over 230 papers in high-level domestic and international academic journals such as IEEE TCYB, IEEE TFS, IEEE TNNLS, IEEE TETCI, IEEE TBD, IEEE TAI, INF, INS, KBS, FSS, etc., with over 140 papers indexed by SCI (times), over 6,000 citations on Google Scholar, an H-index of 41, and 11 papers selected as ESI highly cited papers. He has published 5 academic works with the Science Press. He has successively presided over 4 National Natural Science Foundation projects and more than 20 provincial and ministerial-level scientific and technological projects, won the third prize of the Hebei Province Natural Science Award, and has served multiple times as (co-)chair of international (domestic) academic conference programs and youth forums. He has been invited multiple times to give keynote speeches at international (domestic) academic conferences. He has achieved certain research results in the fields of artificial intelligence, data mining, cognitive computing, granular computing, information fusion, and knowledge engineering. From 2022 to 2024, he has been continuously selected in the top 2% of the world's leading scientists list. |
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 | Prof.Pietro S. OlivetoSouthern University of Science and Technology, ChinaPietro Oliveto received the Laurea degree and PhD degree in computer science respectively from the University of Catania, Italy in 2005 and from the University of Birmingham, UK in 2009. He has been EPSRC PhD+ Fellow (2009-2010) and EPSRC Postdoctoral Fellow (2010-2013) at the University of Birmingham, UK and Vice-Chancellor's Fellow (2013-2016) and EPSRC Early Career Fellow (2015-2020) at the University of Sheffield, UK. Before moving to SUSTech he was Chair in Algorithms at the Department of Computer Science, University of Sheffield, UK.His main research interest is the performance analysis, in particular the time complexity, of bio-inspired computation techniques including evolutionary algorithms, genetic programming, artificial immune systems, hyper-heuristics and algorithm configuration. He is currently building a Theory of Artificial Intelligence Lab at SUSTech. He has guest-edited journal special issues of Computer Science and Technology, Evolutionary Computation, Theoretical Computer Science, IEEE Transactions on Evolutionary Computation and Algorithmica. He has co-Chaired the IEEE symposium on Foundations of Computational Intelligence (FOCI) from 2015 to 2021 and has been co-program Chair of the ACM Conference on Foundations of Genetic Algorithms (FOGA 2021) and Theory Track co-chair at GECCO 2022 and GECCO 2023. He is part of the Steering Committee of the annual workshop on Theory of Randomized Search Heuristics (ThRaSH), was Leader of the Benchmarking Working Group of the COST Action ImAppNIO, is member of the EPSRC Peer Review College and is Associate Editor of IEEE Transactions on Evolutionary Computation. |