Organizers

Arijit Khan is an Associate Professor at Bowling Green State University (Ohio, USA). His PhD is from University of California, Santa Barbara, USA, and he did a post-doc in the Systems group at ETH Zurich, Switzerland. His research is on data management and machine learning for the emerging problems in large graphs. He is an IEEE senior member and an ACM distinguished speaker. Arijit is the recipient of the IBM Ph.D. Fellowship (2012-13), a VLDB Distinguished Reviewer award (2022), and two SIGMOD Distinguished PC award (2024, 2025). He is the author of a book on uncertain graphs and over 100 publications in top DB and AI venues including SIGMOD, VLDB, ICLR, KDD, EMNLP, etc. Dr. Khan served/is serving as an associate editor of IEEE TKDE and ACM TKDD, proceedings chair of EDBT 2020, ICDE TKDE poster track co-chair 2023, CIKM short paper track co-chair 2024, ICDE demonstration track co-chair 2025, KDD 2025 PhD Consortium track co-chair, and Australasian Database Conference (ADC) 2025 PC co-chair.

Yuyu Luo is an Assistant Professor at The Hong Kong University of Science and Technology (Guangzhou). He received his Ph.D. in Computer Science from Tsinghua University in 2023. His research interests lie at the intersection of data and AI, with a focus on LLM agents, Data Agents, and Data-centric AI. His research has appeared in top-tier venues in databases and data mining (SIGMOD, VLDB, KDD, TODS) as well as artificial intelligence (ICML, NeurIPS, ICLR), with over 50 publications to date. He has been recognized with several honors, including the Best-of-SIGMOD 2023 Papers, the World Artificial Intelligence Conference 2025 Yunfan Award, and the CIKM 2022 Best Paper Honorable Mention.

M. Tamer Özsu is a University Professor at Cheriton School of Computer Science at University of Waterloo and Co-Director of Math Data Science Program. He holds a Distinguished Visiting Professor position at Tsinghua University, China and serves as the Founding Director of the Waterloo-Huawei Joint Innovation Laboratory. His research is on distributed data management and managing non-conventional data. He is a Fellow of the Royal Society of Canada, the American Association for the Advancement of Science (AAAS), the Asia-Pacific Artificial Intelligence Association (AAIA), and Balsillie School of International Affairs (BSIA); he is also Life Fellow of the Association for Computing Machinery (ACM) and the Institute of Electrical and Electronics Engineers (IEEE). He is an elected member of the Science Academy of Türkiye, and a member of Sigma Xi, The Scientific Research Honor Society.

Danrui Qi is a Ph.D. candidate in Computer Science at Simon Fraser University, supervised by Prof. Jiannan Wang. Her research investigates how large language models can advance data management, with a particular focus on agentic data preparation, automated feature engineering, and natural language interfaces for databases. She has published at premier venues including VLDB, ICDE, and EDBT, with representative works such as CleanAgent (VLDB 2025), FeatAug (ICDE 2024), and Auto-FP (EDBT 2024). Beyond publications, she has made significant open-source contributions to the data and AI community, including Dataprep (2.2K+ stars), DB-GPT (17.5K+ stars), and MassGen (560 stars), a multi-agent scaling system for GenAI. Her work has been recognized with honors such as the Westak International Sales Inc. Scholarship and the Outstanding Undergraduate Thesis Award at Tsinghua University, and she actively serves the research community as a program committee member and reviewer for top conferences including ICDE, WWW, IJCAI, KDD, and ICLR.

Jiannan Wang is an Associate Professor in the Department of Computer Science and Technology at Tsinghua University. Previously, he was a faculty member at Simon Fraser University. He received his Ph.D. from Tsinghua University and conducted postdoctoral research in the AMPLab at UC Berkeley. His research focuses on database and data science systems. He has been recognized with multiple awards, including the VLDB Best Experiments, Analysis & Benchmark Paper Award (2021), a CS-Can—Info-Can Outstanding Early Career Researcher Award (2020), an IEEE TCDE Rising Star Award (2018), an ACM SIGMOD Best Demonstration Award (2016), a Distinguished Dissertation Award from the China Computer Federation (2013), and a Google Ph.D. Fellowship (2011). He was a General Co-chair for VLDB 2023, a PhD Symposium Track Chair for ICDE 2022, an Associate Editor for VLDB 2021, and a core PC member for SIGMOD 2019.