Tenindra Abeywickrama

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

Having had the opportunity to apply some of my research in industry, I’m also particularly interested in bridging the gap between research and practice, so scientific advances can more easily translate into meaningful real-world impact.

If you are interested in a stay with our team, RIKEN offers a number of programs for PhD students and postdocs, see here

news

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