I am a final year Ph.D. candidate in Computer Science and Engineering department at University of California, San Diego (UCSD), advised by Professor George Porter. I am currently on the job market and open to research and engineering roles in industry.

My research is focused on improving the performance of collective communication algorithms that underpin Deep Neural Networks (DNN) training via topology reconfiguration. My interests broadly lie in the area of systems and networking.

Prior to UCSD, I was a Research Scholar at Carnegie Mellon University and was advised by Professor Justine Sherry and Professor Srinivasan Seshan.

Publications

• Reconfigurability within Collective Communication Algorithms [PDF]
  Rukshani Athapathu, George Porter
  Proceedings of the 2nd Workshop on Networks for AI Computing (NAIC ‘25), Sep. 2025
• Realizing RotorNet: Toward Practical Microsecond Scale Optical Networking [PDF]
  William M. Mellette, Alex Forencich, Rukshani Athapathu, Alex C. Snoeren, George Papen, George Porter
  ACM SIGCOMM, Aug. 2024
• Prudentia: Findings of an Internet Fairness Watchdog [PDF]
  Adithya Abraham Philip, Rukshani Athapathu, Ranysha Ware, Fabian Francis Mkocheko, Alexis Schlomer, Mengrou Shou, Zili Meng, Srinivasan Seshan, Justine Sherry
  ACM SIGCOMM, Aug. 2024
• Revisiting TCP Congestion Control Throughput Models & Fairness Properties At Scale [PDF]
  Adithya Abraham Philip, Ranysha Ware, Rukshani Athapathu, Justine Sherry, Vyas Sekar
  ACM IMC, Nov. 2021

Posters

• A Watchdog Service for Measuring Congestion Control Harm on the Internet [Abstract]
  Rukshani Athapathu, Ranysha Ware, Aditya Abraham Philip, Srinivasan Seshan, Justine Sherry
  N2Women’20, ACM SIGCOMM, Aug. 2020
• NADA Fairness: Analyzing the Future of WebRTC
  [Abstract]
  Serena Vincent, Adithya Phillip, Rukshani Athapathu, Justine Sherry, Srinivasan Seshan
  N2Women’20, ACM SIGCOMM, Aug. 2020

[CV]