NEWS
+ Papers in SIGMOD'26, VLDB'26, ICLR'26, ICDE'26, WWW'26, IJCAI'26, Journal of the American Medical Informatics Association'26, IEEE TCDE Bulletin'26.
+ GNNExplainers2.0 Tutorial in WSDM'26.
+ LLM+Graph Tutorial in PAKDD'26.
+ Co-organizing Agent+Graph workshop in VLDB'26.
+ Co-organizing LLM+Vector Data workshop in ICDE'26.
+ ACM SIGMOD blog posts: LLM+KG+Vector Data, Graph Query.
+ Papers in KDD'25, ICLR'25, EMNLP'25, TKDE'25, VLDB Journal'25, ACM SIGMOD Record'25.
+ LLM-KG-QA Tutorial in EDBT'25.
+ Co-organizing LLM+Graph workshop in VLDB'25.
+ Co-organizing LLM+Vector Data workshop in ICDE'25.
+ Keynotes at FAB@VLDB'24 [talk], GTA3@CIKM24 [talk].
+ Papers in SIGMOD'24, ICDE'24.
+ 2 Papers in VLDB'23, 2 Papers in ICDE'23.
+ Paper in ACM SIGMOD Record'23.
+ GNNInterpretability Tutorial in DSAA'23.
+ Papers in ICDE'22, TKDE'22, TKDD'22.
+ Blockchain+Graphs Tutorial in CIKM'22.
+ Papers in VLDB'21, WWW'21.
+ Papers in SIGMOD'20, VLDB'20, ICDE'20, WWW'20.
+ Papers in SIGMOD'19, VLDB'19.
+ Uncertain Graph Book in Morgan & Claypool
SERVICES
+ Editor-in-Chief: The Knowledge Engineering Review Journal [KER] .
+ Editor: IEEE Transactions on Knowledge and Data Engineering (TKDE) Journal Special Issue on Data and Knowledge Empowered Generative Artificial Intelligence (DK-GenAI).
+ Editor: Frontiers in Complex Systems Journal Special Issue on Advances in Graph Neural Networks: Theory, Foundations, and Emerging Applications.
+ Editor: WWW Journal Special Issue on Neuro-Symbolic Intelligence: LLM Enabled Knowledge Engineering.
+ Associate Editor: IEEE TKDE (2019-2024), ACM TKDD (2023-present).
+ Co-organizer, Dagstuhl seminar on "Managing Vector Data for Retrieval Augmented Generation: Systems and Algorithms" (2026).
+ DASFAA 2027 Tutorial Track Co-chair, International Conference on Advanced Data Mining and Applications 2026 (ADMA 2026) Tutorial Track Co-chair, Australasian Database Conference 2025 (ADC 2025) PC Co-chair, KDD 2025 PhD Consortium Track Co-chair, ICDE 2025 Demonstration Paper Track Co-chair, CIKM 2024 Short Paper Track Co-chair, ICDE 2023 TKDE Poster Track Co-chair, EDBT 2020 Proceedings chair.
+ Co-chair, LLM+Vector Data workshop (co-located with ICDE 2026, 2025), Co-chair, Agent/LLM+Graph/KG workshop (co-located with VLDB 2026, 2025, 2024), Co-chair, KG+Responsible AI workshop (co-located with ESWC 2025), Co-chair, GTA3 workshop (co-located with ICDM 2025).
+ ACM IKDD CODS-COMAD 2024 Senior Program Committee (Distinguished SPC award).
+ 2027 PC: SIGMOD, KDD (area chair), AAAI (Senior Program Committee).
+ 2026 PC: SIGMOD (Distinguished Reviewer award), VLDB, KDD (area chair), ACL (area chair) (Outstanding Area Chair award), ICLR.
+ 2025 PC: SIGMOD (Distinguished Reviewer award), VLDB, KDD (Outstanding PC).
+ 2024 PC: SIGMOD (Distinguished PC award), VLDB, ICDE.
+ 2023 PC: VLDB, SIGMOD (Demo).
+ 2022 PC: SIGMOD, VLDB (Distinguished Reviewer award), ICDE.
New: I have multiple openings for PhD, Postdoc, and RA positions. Interested candidates can contact me with CV.
Research Interests:
- Data management and Artificial Intelligence for the emerging problems in large graphs, with a focus on user-friendly, efficient, approximate, and explainable querying and pattern mining in social and information networks, using scalable algorithms, machine learning techniques, and distributed systems.
-
Keywords: data science, big graphs, big data, graph systems, knowledge graphs, uncertain graphs, databases, data mining, machine learning, explainable AI, algorithms, blockchain networks analysis, large language models.
- One-pager and a recent talk video about my research; Biography
- Media articles [link1], [link2] about our research published at the sciencenews.dk .
- Our work featured in 'Learning GenAI' podcast, generated by Google NotebookLM, listen on spotify.
Education and Work Experience:
-
I am an associate professor in the Department of Computer Science at Bowling Green State University, Bowling Green, Ohio, USA. I earned my PhD from the Department of Computer Science, University of California, Santa Barbara, USA, and did a postdoc in the Systems group, ETH Zurich, Switzerland. I have been affiliated with Aalborg University, Denmark. In the past, I have been an associate professor at Aalborg University, Denmark and an assistant professor at Nanyang Technological University, Singapore.
Honors and Awards:
- ACL 2026 Outstanding Area Chair award.
- SIGMOD 2026 Distinguished Reviewer award.
- Invited, as a Panelist in the WSDM 2026 Doctoral Consortium.
- Re-appointed as an ACM Distinguished Speaker (2026-2029).
- Invited, as a Panelist at the Ohio Association of Election Officials conference (OAEO 2026, Ohio, USA).
- SIGMOD 2025 Distinguished Reviewer award.
- KDD 2025 Outstanding PC (top 10% of reviewers).
- Invited to give keynote talks at FAB@VLDB'24 [talk] and GTA3@CIKM24 [talk] workshops.
- SIGMOD 2024 Distinguished PC award.
- Invited to give a talk at Machine Learning Theory workshop, co-located with the Danish Digitalization, Data Science and AI conference 2024 (D3A 24).
- CODS-COMAD 2024 Research Track Distinguished Senior PC Member Award.
- Appointed as an ACM Distinguished Speaker (2023-2025).
- Elevated to the grade of IEEE Senior member.
- PVLDB 2022 Distinguished Reviewer award.
- Our IEEE Blockchain 2022 paper "Graph Analysis of the Ethereum Blockchain Data: A Survey of Datasets, Methods, and Future Work" is featured in Research Pulse #72 by the
Smart Contract Research Forum (SCRF).
- Invited as a Panel Expert for graph data management in ICDE 2022.
- Recognized by Aminer among the Most Influential Scholar Award Honorable Mention for outstanding and vibrant contributions to the field of Database between 2010 and 2020.
- My PhD student Xiangyu Ke, graduated in 2020, is awarded Honourable Mention for the NTU SCSE Outstanding PhD Thesis Award.
- Invited to lead a panel discussion among industry leaders on synergies between data analytics and machine learning at the 3rd Edition of GFMI Conference Optimizing Data Governance, Quality and Consistency in Financial Services, Singapore (March 2019).
- Invited for National Institute of Informatics (NII) Shonan Meeting on "Graph Database Systems: Bridging Theory, Practice, and Engineering", 2018, Japan.
- Invited to contribute a chapter on graph pattern matching in the "Springer Encyclopedia of Big Data Technologies".
- Invited to present a tutorial in the Asia Pacific Web and Web-Age Information Management Joint Conference on Web and Big Data (APWeb-WAIM 2017).
- Invited to contribute an article in the ACM SIGMOD Blog.
- Invited to present a tutorial on uncertain graphs in the International Conference on Management of Data (COMAD 2016).
- Invited to submit an extended version of our VLDB 2015 tutorial as a book in Morgan & Claypool's Data Management series.
- Invited to contribute a chapter on big-graphs processing in the "Springer Handbook on Big-Data Technologies".
- Part of our VLDB 2014 Tutorial on Big-Graphs Systems included in the Large Scale Data Management (CS 848) Course 2015, University of Waterloo.
- Invited for Dagstuhl Seminar 2014, Schloss Dagstuhl - Leibniz Center for Informatics, Germany [talk].
- NSF ICDE 2012 Scholarship.
- IBM Ph.D. Fellowship 2012-13.
- NSF SDM (SIAM Conference of Data Mining) 2011 Student Travel Award.
- P1 fellowship 2009-10, Computer Science, University of California, Santa Barbara.
- CITRIX GO-TO fellowship 2008-2009, Computer Science, University of California, Santa Barbara.
- TCS-JU Best Student Award 2007-08, an award honoring the best graduting undergraduate in the CS department at Jadavpur University.
