Li Xiong is a Samuel Candler Dobbs Professor of Computer Science and Professor of Biomedical Informatics at Emory University. She held a Winship Distinguished Research Professorship from 2015-2018. She has a Ph.D. from Georgia Institute of Technology, an MS from Johns Hopkins University, and a BS from the University of Science and Technology of China. Her research lab, Assured Information Management and Sharing (AIMS), conducts research on trustworthy and privacy-enhancing AI algorithms for healthcare, public health, and spatial intelligence. She is recognized as an IEEE fellow (2022), AAAS fellow (2024), ACM fellow (2025) for her contributions to privacy-preserving and secure data sharing and analytics. She has published over 200 papers and received seven best paper or runner up awards, and a test-of-time award. Her research has been supported by both governments (NSF, NIH, IARPA, AFOSR, PCORI) and industry/foundations (Mitsubishi, Cisco, AT&T, Google, IBM). She has served and serves as associate editor for ACM TAISAP, IEEE TKDE, IEEE TDSC, and VLDBJ, general chair for ACM SIGSPATIAL 2024, CIKM 2022, program chair for IEEE ICDE 2027, IEEE BigData 2020 and ACM SIGSPATIAL 2020,2018.

Hai Jin is a Chair Professor of computer science and engineering at Huazhong University of Science and Technology (HUST) in China. Jin received his PhD in computer engineering from HUST in 1994. In 1996, he was awarded a German Academic Exchange Service fellowship to visit the Technical University of Chemnitz in Germany. Jin worked at The University of Hong Kong between 1998 and 2000, and as a visiting scholar at the University of Southern California between 1999 and 2000. He was awarded Excellent Youth Award from the National Science Foundation of China in 2001.Jin is a Fellow of ACM, Fellow of IEEE, Fellow of CCF. He has co-authored more than 20 books and published over 1000 research papers. His research interests include computer architecture, parallel and distributed computing, big data processing, data storage, and system security.

Dacheng Tao is currently a Distinguished University Professor in the College of Computing & Data Science at Nanyang Technological University. He mainly applies statistics and mathematics to artificial intelligence and data science, and his research is detailed in one monograph and over 200 publications in prestigious journals and proceedings at leading conferences, with best paper awards, best student paper awards, and test-of-time awards. His publications have been cited over 112K times and he has an h-index 160+ in Google Scholar. He received the 2015 and 2020 Australian Eureka Prize, the 2018 IEEE ICDM Research Contributions Award, and the 2021 IEEE Computer Society McCluskey Technical Achievement Award. He is a Fellow of the Australian Academy of Science, AAAS, ACM and IEEE.