LSGDA 2025

M. Tamer Özsu

University of Waterloo

M. Tamer Özsu is a University Professor in the David R. Cheriton School of Computer Science at the University of Waterloo and Co-Director of the Faculty of Mathematics graduate program on Data Science and AI. He served as the Director of the Cheriton School from January 2007 to June 2010 and as the Associate Dean of Research for the Faculty of Mathematics from January 2014 to June 2016. His PhD degree is from the Ohio State University (1983). He is a Fellow of the Royal Society of Canada, American Association for the Advancement of Science (AAAS), Science Academy, Türkiye, Asia-Pacific Artificial Intelligence Association (AAIA), and the Balsillie School of International Affairs (BSIA); he is also Life Fellow of Association for Computing Machinery (ACM) and The Institute of Electrical and Electronics Engineers (IEEE). He is the recipient of the University of Waterloo Excellence in Graduate Supervision Award (2025), ACM Presidential Award (2024), IEEE Technical Committee on Data Engineering (TCDE) Education Award (2024), IEEE Innovation in Societal Infrastructure Award (2022), CS-Can/Info-Can Lifetime Achievement Award (2018), ACM SIGMOD Test-of-Time Award (2015), the ACM SIGMOD Contributions Award (2006), The Ohio State University College of Engineering Distinguished Alumnus Award (2008), and multiple Outstanding Performance Awards at the University of Waterloo His publications have received four best paper awards and one honorable mention.

Christian S. Jensen

Aalborg University

Christian S. Jensen is Professor of Computer Science at Aalborg University, Denmark. His research concerns analytics, including machine learning, data mining, and query processing, and data management, with a focus on temporal and spatio-temporal data. Christian is an ACM and IEEE Fellow, and he is a member of Academia Europaea, the Royal Danish Academy of Sciences and Letters, and the Danish Academy of Technical Sciences. He has received several awards, most recently the 2022 ACM SIGMOD Contributions Award and the 2019 IEEE TCDE Impact Award. He is on the board of Villum Fonden, a major funder of research in Denmark and is vice-chair of the Danish National Research Foundation. In Norway, he chairs the scientific advisory board (SAB) of the Norwegian Research Center for AI Innovation. He recently completed terms as president of the steering committee of the Swiss National Research Program on Big Data and as a member of the SAB of the Max Planck Institute for Informatics.

Chen Cheng

ByteDance

Chen Cheng is a Tech Lead from the ByteGraph team at ByteDance. He received his Ph.D. from the National University of Singapore. His research interests span graph neural networks (GNN), AI infrastructure, graph computing, graph databases, and storage systems. He has published around 40 papers in top-tier conferences and journals, accumulating over 1,400 citations. His work has been recognized with several honors, including the Best Paper Runner-up Award at EuroSys 2024 and the Best Industry Paper Runner-up Award at VLDB 2023. He actively contributes to the academic community and has served as a program committee member for both research track (ICDE 2025) and industrial track (VLDB 2025, SIGMOD 2024, ICDE 2025/2024).

Da Yan

Indiana University Bloomington

Da Yan is an Associate Professor in the Department of Computer Sciences of the Luddy School of Informatics, Computing, and Engineering (SICE) at Indiana University Bloomington. He received his PhD degree in Computer Science from the Hong Kong University of Science and Technology in 2014, and his BS degree in Computer Science from Fudan University in Shanghai in 2009. He is a recipient of the U.S. Department of Energy Early Career Research Program (ECRP) Award in 2023 and was the sole winner of the Hong Kong 2015 Young Scientist Award in Physical/Mathematical Science. His research interests include parallel and distributed systems for big data analytics, data management, data mining, and machine learning.