Dr. Tiehua Zhang is currently an Assistant Professor at Tongji University. He earned his Bachelor's, Master's, and Doctoral degrees in Computer Science from Jilin University, The University of Melbourne, and Swinburne University of Technology, respectively. Dr. Zhang has extensive experience in both industry and academia, having served as a Systems Development Engineer at Our Community Group in Australia, a Visiting Scientist at KDDI Research in Japan, a Postdoctoral Researcher at Macquarie University in Australia, and as the International Risk Algorithm Architect/Lead at Ant Group. He has been recognized as a Shanghai High-Level Talent (Overseas), Shanghai Science & Technology 35 under 35, and Shanghai Pudong New Area Pearl Elite Talent.
Dr. Zhang's main research areas include distributed collaborative learning, graph learning and relation mining, edge intelligence and service provisions. He has published over 40 papers in prominent international journals and conferences, including ACM Transactions on Software Engineering Methodology, IEEE Internet of Things Journal, IEEE Transactions on Industrial Informatics, IEEE Transactions on Artificial Intelligence, ICDE, ACM MM, and ICSOC, and holds more than 10 international/domestic patents. Dr. Zhang has long served as regular reviewer or TPC member for important journals such as IEEE IoT-J, ESWA, IEEE TII, ACM TKDD, and NN etc. He has led and participated in several international and domestic projects, including the Australian ARC Discovery and Linkage projects and the Ant Research Exploration Fund. His research achievements have been honored with several awards, including the Swinburne Outstanding Thesis Award and the Research Excellence Award etc.