Prof. Teh Ying Wah, University of Malaya, Malaysia

As a highly accomplished computer scientist and data mining expert with over 35 years of experience, I have demonstrated exceptional leadership, expertise, and vision in the field. 

Over the course of my career, I have achieved numerous successes and made significant contributions to the industry. I began as an entry-level computer programmer in 1988 and advanced to become a Professor of Data Mining at the Faculty of Computer Science and Information Technology at the University of Malaya. I obtained my tertiary academic qualifications from Oklahoma City University and the University of Malaya, and I have published more than 90 academic papers in top-tier journals, including Information Fusion and the International Journal of Information Management. 

I have a remarkable H-index and number of citations in Web of Science, Scopus, and Google Scholars databases, and I have supervised numerous students at all levels of study. My areas of research include data warehouse, data mining, deep learning, IoT, activity recognition, wearable sensors, accelerometers, heart arrhythmia, electrocardiograph, supraventricular premature beat, multivariate time series, edge computing, task scheduling, data streams, mobile computing, speaker verification, language recognition, clustering algorithms, MapReduce, stock market, and sentiment analysis.

Prof. Lin Chen

IEEE Special Interest Group on Green and Sustainable Networking and Computing with Cognition and Cooperation

Chen Lin ,the main research areas are network distributed learning and algorithm design, information security and privacy protection, etc., with years of research accumulation in the fields of the Internet of Things, mobile computing, green communication, etc. At present, we have published 2 monographs and more than 100 papers, including top journals and conference papers in the fields of IEEE/ACM TON, IEEE JSAC, IEEE TMC, IEEE TIFS, IEEE INFOCOM, IEEE RTSS, ACM MobiHoc, IEEE ICDCS, etc. We have won the Best Paper Award three times (GameSec 2017, NEWCOM 2015, IEEE ICCCN 2007). Google Scholar's statistical paper has been cited more than 3000 times, with an h-index of 33, and three papers have single citations exceeding 100. Since 2015, he has served as the Chairman of the IEEE Green Cognitive Communication and Computing Technology Working Group, Editor of IEEE Systems Journal, Wireless Communications and Mobile Computing, and TPC member of several mainstream international conferences such as INFOCOM, ICCCN, ICC, and Globecom. As a invited editor, I have published five special issues in mainstream industry journals such as IEEE Wireless Communications. He presided over and participated in the National Natural Science Foundation of China and more than ten European Union and French national scientific research projects. In 2018, he was elected to the Institut Universitaire de France, class 2018. He was elected to the the Pearl River Talent Program as a young top talent.

Prof. Haijun Zhang

Harbin Institute of Technology, Shenzhen, China

Haijun Zhang received the B.Eng. and Master’s degrees from Northeastern University, Shenyang, China, and the Ph.D. degree from the Department of electronic Engineering, City University of Hong Kong, Hong Kong, in 2004, 2007, and 2010, respectively. He was a Post-Doctoral Research Fellow with the Department of Electrical and Computer Engineering, University of Windsor, Windsor, ON, Canada, from 2010 to 2011. Since 2012, he has been with the Shenzhen Graduate School, Harbin Institute of Technology, China, where he is currently a Professor of Computer Science. His current research interests include data mining, machine learning, generative AI, fashion intelligence, and service computing. He published over 170 technical papers in international journals and conferences. Prof. Zhang is currently an Associate Editor of IEEE Trans. on Consumer Electronics, Neurocomputing, Pattern Analysis and Applications, etc.