I am a Ph.D. student in Networked System Lab (NSL) at University of Southern California. I am fortunate to be advised by Prof. Ramesh Govindan. My primary research interests are in areas of Immersive Video, Edge Computing, Intelligence in IoT and Systems for Machine Learning.
Prior to joining USC, I completed my Masters in Computational Science at the Department of Computational and Data Sciences (CDS), Indian Institute of Science (IISc), Bangalore. I was advised by Prof. Yogesh Simmhan at DREAM:Lab.
Scrooge: A Cost-Effective Deep Learning Inference System
Yitao Hu, Rajrup Ghosh, Ramesh Govindan
ACM SoCC, 2021.
Rim: Offloading Inference to the Edge
Yitao Hu, Weiwu Pang, Xiaochen Liu, Rajrup Ghosh, Bongjun Ko, Wei-Han Lee, Ramesh Govindan
Adaptive Energy-Aware Scheduling of Dynamic Event Analytics Across Edge and Cloud Resources
Rajrup Ghosh, Siva Prakash Reddy Komma, Yogesh Simmhan
IEEE/ACM CCGrid, 2018.
Distributed Scheduling of Event Analytics across Edge and Cloud
Rajrup Ghosh, Yogesh Simmhan
ACM Transactions on Cyber-Physical Systems (TCPS), Volume 2 Issue 4, September 2018.
Graduate Research Assistant (2019 – present)
Department of Computer Science, University of Southern California.
Research Intern (June 2020 – August 2020)
Microsoft Research, Redmond, Washington.
Mentor: Krishna Chintalapudi
- Graduate Student Annenberg Fellowship, 2019 – 2023.
- Received Motorola Gold Medal for best Masters Student, 2018.