Jaya Prakash Champati
Assistant Professor, Computer Science, University of Victoria
Email: jpchampati [at] uvic [dot] ca
Phone: 250-472-5899 | Office: ECS 456 | Victoria, BC, Canada
UVic Profile / Google Scholar / Edge AI Research Group
Research Highlights
Biography
Jaya Prakash Champati is an Assistant Professor in the Department of Computer Science at the University of Victoria. His research focuses on decision-making, learning, and resource allocation problems in networking and information systems, with current emphasis on Edge AI, hierarchical inference, inference offloading, online learning, and Age of Information.
He received his PhD in Electrical and Computer Engineering from the University of Toronto in 2017, his MTech from the Indian Institute of Technology Bombay in 2010, and his BTech from the National Institute of Technology Warangal in 2008. Before joining UVic, he was a Research Assistant Professor at IMDEA Networks Institute and a postdoctoral researcher at KTH Royal Institute of Technology. Earlier in his career, he worked on LTE MAC layer development at Broadcom Communications in Bangalore.
Research Interests
- Edge AI and hierarchical / cascade inference across device, edge, and cloud.
- Inference offloading algorithms under latency, accuracy, and cost constraints.
- Age of Information, freshness-aware sensing, and networked monitoring systems.
- Online learning, queueing, stochastic optimization, and decision-making in networked systems.
Recent Highlights
- Ziming Dong (PhD), Bharath Irukulapati (Master's), and Ata Sanoubar (PhD) joined the group in September 2026; Ata received a Canada Impact+ Research Training Award.
- ACM SEC Edge Intelligence Workshop 2026 acceptance for Speculation at a Distance: Where Edge-Cloud Speculative Decoding Actually Pays Off.
- EWRL 2026 workshop acceptance for Hierarchical Inference with a Finite Offload Queue.
- INFOCOM 2026 acceptance for Hierarchical Inference with an Offload Queue.
- AAAI 2026 acceptance for Inference Offloading for Cost-Sensitive Binary Classification at the Edge.
Edge AI Research Group
I lead the Edge AI Research Group at UVic. Our lab studies hierarchical inference, inference offloading, online learning, and information freshness in networked systems. The lab page includes current members and the current openings note.