Tenindra Abeywickrama

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I’m a Research Scientist at the RIKEN Center for Computational Science. My research focuses on developing efficient, scalable, and theoretically robust algorithms, with particular emphasis on big data management and analytics, graphs, combinatorial optimization, and AI.

More broadly, having spent time deploying my research in industry, I’m interested in bridging the gap between research and practice — so scientific advances can more easily translate into meaningful real-world impact.

news

Feb 01, 2025 I am joining the Review Board for PVLDB Vol. 19 (VLDB 2026)!
Feb 01, 2025 I have moved to Tokyo, Japan to join RIKEN as a Research Scientist!

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