Laxman Dhulipala

Assistant Professor
Email: laxman
umd[.dot.]edu
Website:
Google Scholar:
Education:
- Ph.D., Carnegie Mellon University, 2020
Appointments:
CS, UMIACS
Research Areas:
Interest Areas:
high-performance parallel algorithms (theory and practice), models of computation for emerging hardware, scalable static/dynamic/streaming graph algorithms
Biography
My current research interests are on efficient parallel graph algorithms and parallel clustering. I am especially interested in designing efficient algorithms and systems for maintaining and analyzing graphs or pointsets that change over time.
Honors and Awards
| Year | Type | Org. | Name |
|---|---|---|---|
| 2025 | Award | UMD |
Departmental Teaching Award |
| 2024 | Award | ACM |
Paris Kanellakis Theory and Practice Award |
| 2023 | Award |
The Allen Newell Award for Research Excellence For high-impact contributions to scalable graph algorithms and their efficient implementation. |
|
| 2022 | Award |
Best Paper Best Paper Award at SPAA'22 |
|
| 2019 | Award |
Best Paper Distinguished Paper Award at PLDI'19 |
|
| 2018 | Award |
Best Paper Best Paper Award at SPAA'18 |