Tenindra Abeywickrama

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I’m a Research Scientist (equivalent to Assistant Professor) at the RIKEN Center for Computational Science. My research interests are in developing algorithms that are simple in principle, scalable in practice, and shaped by a theoretical lens with an emphasis on formalization.

With experience applying my research in industry, I am particularly interested in bridging the gap between academic research and real-world deployment. My work typically explores topics related to AI, graphs, large-scale datasets, and combinatorial problems.

news

Sep 19, 2025 Returned to the Heidelberg Laureate Forum as an alumnus this year, a fantastic opportunity for connecting with inspiring laureates and young researchers!
Feb 01, 2025 I am joining the Review Board for PVLDB Vol. 19 (VLDB 2026)!
Jan 01, 2025 After a stint in industry, I’m rejoining academia as a Research Scientist at the RIKEN Center for Computational Science in Japan! Looking forward to life in Tokyo :)

selected publications

  1. SIGMOD Rec.
    Bipartite Matching: What to do in the Real World When Computing Assignment Costs Dominates Finding the Optimal Assignment
    Tenindra Abeywickrama, Victor Liang, and Kian-Lee Tan
    SIGMOD Record, Jun 2022
  2. VLDB2021
    Optimizing Bipartite Matching in Real-World Applications by Incremental Cost Computation
    Tenindra Abeywickrama, Victor Liang, and Kian-Lee Tan
    Proceedings of the VLDB Endowment, Mar 2021
  3. ICAPS2020
    Hierarchical Graph Traversal for Aggregate k Nearest Neighbors Search in Road Networks
    Tenindra Abeywickrama, Muhammad Aamir Cheema, and Sabine Storandt
    In Proceedings of the Thirtieth International Conference on Automated Planning and Scheduling, ICAPS 2020, Mar 2020