Short Bio

Hi there! I am Jaya Prakash — you can call me Jaya or JP. I hail from Malkipuram, a small coastal village in Andhra Pradesh, India.  I received my PhD from the Department of Electrical and Computer Engineering, University of Toronto, Canada 2017. Before joining PhD, I was part of the Mobile and Wireless Group developing the LTE MAC layer at Broadcom Communications, Bangalore, India. I received my master’s degree from the Indian Institute of Technology (IIT) Bombay, India, in 2010 and my undergraduate degree from the National Institute of Technology (NIT) Warangal, India, in 2008.  I was a postdoc in the Information Science and Engineering Division, EECS, KTH Royal Institute of Technology, Sweden. Before joining UVic,  I held a Research Assistant Professor position at IMDEA Networks Institute from 2021-2024.

Research Interests

I am interested in decision-making, learning, and resource allocation/scheduling problems that arise in networking and information systems, in general. My current research focus is on efficient inference in Edge AI systems, working on Hierarchical Inference (a novel distributed DL inference framework), Inference Offloading, and the Age of Information. Some of the mathematical tools used in my research include Regret Analysis, Design and Analysis of Approximation Algorithms, Queuing Theory, Stochastic Network Calculus,  and Markov Decision Processes.

Open Positions

Currently, I do not have funded positions.

Note: I apologize for not responding to all applicants' emails. Please be considerate and DO NOT send multiple reminders for a position.

News

Nov 2025: Our work Inference Offloading for Cost-Sensitive Binary Classification at the Edge is accepted to AAAI 2026. Congratulations Vishnu! Thanks to my collaborators, Sharayu Moharir and James Gross.

Oct 2025: Our work 2D-AoI: Age-of-Information of Distributed Sensors for Spatio-Temporal Processes is accepted to IEEE TCOM. This is a fantastic work led by Markus Fidler. 

Sep 2025: Yuan Lyu (PhD) and Ziming Dong (Masters) joined my research group. Welcome, Yuan and Ziming!

July 2025: I am honored to have been elevated to IEEE Senior Member.

Jun 2025: Our work  Exploring the Boundaries of On-Device Inference: When Tiny Falls Short, Go Hierarchical was accepted to IEEE IoT journal. Congratulations Adarsh!

Jun 2025: Our survey paper on LLM routing and Hierarchical Inference is available on arXiv.

Jun 2025: For those interested in learning some of the latest research directions in Edge AI, consider attending this summer school at KTH, Sweden, from September 1 to 4. 

May 2025: Our work Error Bounds for the Network Scale-Up Method was accepted to KDD 2025. Congratulations Sergio!

May 2025: Our work Online Learning with Stochastically Partitioning Experts was accepted to UAI 2025. Congratulations Puranjay!

Apr 2025: Evan O'Toole received an NSERC Undergraduate Student Research Award (USRA). Congrats Evan!

Oct 2024: Our work "Hierarchical Inference at the Edge: A Batch Processing Approach" was presented at Edge Intelligence workshop, ACM SEC 2024.

Aug 2024: Our work Regret Bounds for Online Learning for Hierarchical Inference  was accepted to ACM Mobihoc 2024. Congratulations Ghina!

Aug 2024: Joined CS@UVic. Looking forward to an exciting new journey!

June 2024:  For extensive energy consumption, processing time, and communication time measurements of tinyML models on Arduino Nano 33 BLE Sense, ESP32, Coral Dev Board Micro, Raspberry Pi, and Jetson Orin Nano, please check our arXiv paper: Exploring the Boundaries of On-Device Inference: When Tiny Falls Short, Go Hierarchical

Feb 2024: Presented Improved Decision Module for Hierarchical Inference at AAAI Deployable AI workshop.

Feb 2024: Our first work on Hierarchical Inference is published in IEEE Transaction on Machine Learning in Communications and Networking (TMLCN). Congrats Vishnu! Pdf available on arXiv.

Feb 2024: Humbled to be recognized as a Distinguished Member of INFOCOM 2024 TPC!