IMDEA Networks
Dr. Jaya Prakash CHAMPATI
Research Assistant Professor
- PhD - University of Toronto, Canada
- Joining date: November 2020
Biography
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. Before joining IMDEA, I was a postdoc in the Information Science and Engineering Division, EECS, KTH Royal Institute of Technology, Sweden.
My Motto: Research is our search for Truth and Truth doesn’t differentiate race, religion, country, caste, creed, etc.
(“The greatest name man ever gave to God is Truth” – Swami Vivekananda)
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, Inference Offloading, and the Age of Information. Some of the mathematical tools used in my research so far include Regret Analysis, Design and Analysis of Approximation Algorithms, Queuing Theory, Stochastic Network Calculus, and Markov Decision Processes.
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: Happy to be recognized as a Distinguished Member of INFOCOM 2024 TPC!
October 2023: Invited talk: “Getting the Best of Both Worlds (IoT and Edge/cloud) using Hierarchical Inference”, IEEE World Forum on IoT, Oct. 2023.
October 2023: Poster: Improved Decision Module Selection for Hierarchical Inference in Resource-Constrained Edge Devices, Mobicom 2023.
May 2023: The Case for Hierarchical Deep Learning Inference at the Network Edge is accepted NetAI workshop, MobiSys 2023.
April 2023: Our work on Offloading Algorithms for ML inference offloading was accepted to IEEE Transactions on Parallel and Distributed Systems (TPDS). Congrats Andrea Fresa!
March 2023: Our work on Online Algorithms for Hierarchical Inference at the Network Edge is available on arXiv.
January 2023: Getting the Best of Both Worlds (IoT and Edge) using Hierarchical Inference, invited talk at Indian Institute of Science (IISC), Bengaluru, India.
Research projects
DIME
Project coordinator
Distributed Inference for Energy-efficient Monitoring at the Network Edge Note
More infoarrow_right_altGREENEDGE
Main researcher
Energy-efficient Monitoring in the era of Edge Intelligence
More infoarrow_right_alt
Publications
Getting the Best Out of Both Worlds: Algorithms for Hierarchical Inference at the Edge
Vishnu Narayanan Moothedath, Jaya Prakash Champati, James Gross
IEEE Transactions on Machine Learning in Communications and Networking. 10.1109/TMLCN.2024.3366501. Volume 2 , February 2024
Performance and Explainability of Feature Selection-Boosted Tree-based Classifiers for COVID-19 Detection
Jesús Rufino, Juan Marcos Ramirez, Jose Aguilar, Carlos Baquero, Jaya Prakash Champati, Davide Frey, Rosa Elvira Lillo, Antonio Fernández Anta
Heliyon. 10.1016/j.heliyon.2023.e23219. Elsevier. December 2023
Improved Decision Module Selection for Hierarchical Inference in Resource-Constrained Edge Devices (Poster)
Adarsh Prasad Behera, Roberto Morabito, Joerg Widmer, Jaya Prakash Champati
ACM International Conference on Mobile Computing and Networking. Madrid. October 2023
Consistent Comparison of Symptom-based Methods for COVID-19 Infection Detection
Jesús Rufino, Juan Marcos Ramirez, Jose Aguilar, Carlos Baquero, Jaya Prakash Champati, Rosa Elvira Lillo, Antonio Fernández Anta
International Journal of Medical Informatics. 10.1016/j.ijmedinf.2023.105133. Volume 177 , Elsevier. September 2023
Consistent Comparison of Symptom-based Methods for COVID-19 Infection Detection (Extended Abstract) (Poster)
Jesús Rufino, Juan Marcos Ramirez, Jose Aguilar, Carlos Baquero, Jaya Prakash Champati, Davide Frey, Rosa Elvira Lillo, Antonio Fernández Anta
epiDAMIK 6.0: The 6th International workshop on Epidemiology meets Data Mining and Knowledge discovery. Long Beach, California, United States.. August 2023