Tenindra Abeywickrama

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I’m a Research Scientist at the RIKEN Center for Computational Science. My research interests are in developing algorithms that are intuitive in principle, scalable in practice, and shaped by a theoretical lens.

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

My 2-page CV

news

May 01, 2026 I have been selected as a DAAD AINeT Fellow
Apr 15, 2026 I received a Distinguished PC Award from ICDE 2026!
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!
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