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.

PhD Position Available

Topic: Algorithmic foundations for distributed AI inference at the network edge 

Academic Qualifications:

- Masters or Bachelors in computer science, communication engineering, electrical engineering, or a related field with a solid academic record.

Skills Required:

- Strong mathematical/analytical skills with a background in one or more of the following subjects: Probability and Random Processes, Online Learning, Design and Analysis of Algorithms, and Convex Optimization.

- Good programming skills. Hands on experience with system implementation is an added plus.

- Proficiency in written and spoken English is mandatory.

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

News

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

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

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

June 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, especially to Antonio, Sergio, and Juan!

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

April 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!