Biography: Xi Chen is a professor in the Department of Data Science and Engineering Management at the School of Management, Zhejiang University. He earned a Ph.D. in Information Systems from the University of Hong Kong and a Master Degree from National University of Singapore. His research interests include social media and social network analysis, business analytics, data mining, etc. His work has been published in journals, such as Information Systems Research, INFORMS Journal on Computing, Production and Operations Management, Journal of the Association for Information Systems, Decision Support Systems, European Journal of Operational Research, Information & Management, and other outlets.
Biography: Xiaoling Deng is a Professor and Doctoral Supervisor of South China Agricultural University, she is also the assistant of Director of the International Joint Research Center for Precision Agriculture Aerial Pesticide Application Technology, and a visiting scholar at Texas A&M University in the United States; She has engaged in long-term research on unmanned aerial vehicle remote sensing, agricultural artificial intelligence, and smart orchards,.As the first host,she won the first prize of the 2024 Guangdong Province Agricultural Technology Promotion Award ("Promotion of Key Technologies for Orchard Intelligence and Unmanned Application"), and as a key member, she won the innovation award of the DaBeiNong Science and Technology Award (Innovation and Application of Key Technologies for Precise Spraying of Plant Protection Unmanned Aerial Vehicles); She has been funded by 3 National Natural Science Foundation projects, 1 National Key Research and Development sub-project, 2 Guangdong Provincial Key R&D Program projects, 1 Guangdong University Key Field (Artificial Intelligence) Special Project, and 1 Guangzhou Key Field Project successively; She is also serving as a guest editor for the journal “Remote Sensing” and a reviewer for multiple international academic journals such as “Computers and Electronics in Agriculture”; she has published over 35 papers as the first author or corresponding author, including 26 SCI/EI indexed papers, some of which won the Excellent Paper Award from the Chinese Society of Agricultural Engineering, as well as high impact and high download papers from CNKI; she has published 3 textbooks as a chief/deputy editor and her 7 invention patents have been authorized and granted.
Biography: Dr. Huang is currently the Distinguished Professor and vice dean of the School of Computer Science and Technology at Soochow University. He received his Ph.D. degree in School of Computer Science and Technology from University of Science and Technology of China (USTC), China, in 2011. From 2019 to 2020, he was a visiting research scholar with Florida University, Gainesville, USA. Dr. Huang is the recipient of the Changjiang (Yangtze River) Youth Scholar award in 2021. He is also an IEEE senior member and ACM member. Dr. Huang has made many innovations and research achievements in the research field of network measurement and has published over 170 papers in top conferences and journals such as ACM SIGMOD, IEEE INFOCOM, IEEE ICDCS, IEEE ICNP, ACM SIGMETRICS, ACM MobiCom, ICML, ACM WWW, VLDB, NeurIPS, ACM/IEEE TON, IEEE TMC, IEEE TPDS, and IEEE JSAC. He serves/ed as the Symposium Program Co-Chairs of IEEE IWCMC 2024, the Publicity Co-Chairs of ACM MobiHoc-MSCC 2016, etc. He was a TPC member of prestigious international academic conferences such as IEEE INFOCOM, IEEE MASS, IEEE ICC, and IEEE Globecom. He has been awarded the Distinguished Member of the INFOCOM Technical Program Committee four times (2024, 2023, 2022, 2020). He serves/ed as an editor for many journals, including the Lead Guest Editor of the Special Issue of Next-generation Traffic Measurement with Network-wide Perspective and Artificial Intelligence in IEEE Transactions on Network Science and Engineering.
Biography: Prof. Zhi Li is a distinguished member of China Computer Federation (CCF), standing committee member of its Technical Council on Software Engineering (TCSE), and a member of its Technical Council on Systems Software, Service Computing and Formal Methods, senior member of IEEE and ACM. He graduated with a BSc degree from Fudan University in 1991, an MSc degree from the University of York in 2004, and a PhD degree from The Open University in 2008. Prof. Li had spent over 10 years doing professional and technical work before he entered academia in 2001, with subsequent 9 years in the UK. His research interests are modeling, verifying, testing and validating Human-Cyber-Physical Systems (HCPSs) based on a problem-oriented approach, natural language processing for requirements engineering (NLP4RE), Artificial General Intelligence (AGI), and Human-Computer Interaction (HCI). His research has been sponsored by 3 grants from the National Natural Science Foundation of China, and 5 grants from Ministry of Education of China, Guangxi Natural Science Foundation, and Guangxi Scientific Research & Technological Development. He has published over 70 research papers (including 3 best conference papers). He has given 2 keynote speeches and over 10 invited talks in international conferences, and he is the leader and one of the main contributors to a suite of Computer-Aided Requirements Engineering (CARE) tools for Problem-Oriented Software Development (POSD).
Biography: Pietro 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.
Biography: Jun Xu is a Professor, the Director of Jiangsu Key Laboratory of Intelligent Medical Image Computing (IMIC), and the Vice Dean of the School of Future Technology at Nanjing University of Information Science and Technology, China. He got his PhD at Zhejiang University, China. He had been a postdoctoral scientist and visiting professor at the Department of Biomedical Engineering at Rutgers University and Case Western Reserve University in the United States, respectively. He and his IMIC research team are developing and applying novel quantitative image analysis, natural language processing, signal processing, and machine learning tools for disease prevention, diagnosis, and prognosis in the context of breast, liver, pancreas, digestive system, gynaecology, urology, brain, ophthalmology, and reproductive diseases. His group is also exploring the utility of these methods in studying correlations of disease markers across multiple scales and modalities-- from digital pathology to X-ray, CT, multi-parametric MR images, electronic health records, and biosignals.
Biography: Zhou Weihua is a Qiushi Distinguished Professor at Zhejiang University. He currently serves as the Director of the International Research Center for Data Analytics and Management at Zhejiang University. His primary research focuses on data intelligence, supply chain management and decision-making, supply chain finance, and blockchain. His related research findings have been published in top-tier domestic and international journals such as MS, OR, and the Journal of Management Science in China. He has led multiple national-level research projects, including major and key projects under the National Natural Science Foundation of China, as well as key research and development programs under the Ministry of Science and Technology. His research achievements have been honored with numerous awards, including the Outstanding Achievement Award for Scientific Research in Higher Education Institutions from the Ministry of Education, the Zhejiang Provincial Award for Outstanding Achievements in Philosophy and Social Sciences, the Zhejiang Provincial Science and Technology Progress Award, the Management Science Practice Award from the International Conference of Chinese Scholars in Management Science and Engineering (CSAMSE), the Science and Technology Award from the China Federation of Logistics & Purchasing, and the Best Paper Award at the INFORMS Service Science Conference.
Biography: Dr. Jin ZHANG is currently an associate professor with Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen. She received her B.E. and M.E. degrees in electronic engineering from Tsinghua University, Beijing, in 2004 and 2006 respectively, and received her Ph.D. degree in computer science from Hong Kong University of Science and Technology, Hong Kong, in 2009. She was then employed in HKUST as a research assistant professor. Her research interests are mainly in mobile healthcare and wearable computing, wireless communication and networks, network economics, cognitive radio networks and dynamic spectrum management. She has published more than 70 papers in top-level journals and conferences. She is the Principle Investigator of several research projects funded by National Natural Science Foundation of China, Hong Kong Research Grants Council and Hong Kong Innovation and Technology Commission.
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