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 degree from the Department of Electrical and Computer Engineering, University of Toronto, Canada in 2017. Prior to 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.
I am interested in decision-making, learning, and resource allocation/scheduling problems that arise in networking and information systems, in general. Currently, my main focus is on modelling and analysis of Edge networks for supporting applications from the Internet of Things and Cyber-Physical Systems. I am actively working on problems related to distributed inference at the Edge, inference offloading, Age of Information, and wireless communications. 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.
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.
November 2022: We have a two-year research engineering position available in my group. Please do apply if you are interested. https://networks.imdea.org/job/research-engineer-position-in-edge-networks-group/
August 2022: I will serve on TPC of IEEE National Conference on Communications, India, 2023. Please consider submitting your work.
August 2022: Our work An Offloading Algorithm for Maximizing Inference Accuracy on Edge Device in an Edge Intelligence System is accepted in MSWiM’22.
July 2022: I will serve as a TPC chair for the 2nd Trustworthy Edge Computing Workshop organized in conjunction with ACM SEC 2022, Seattle. Please consider submitting your work to the workshop (Deadline: September 9th).
May 2022: I have been awarded the prestigious Marie Skłodowska-Curie Actions (MSCA) postdoctoral fellowship!
March 2022: Andrea received IEEE INFOCOM student travel grant. Congrats Andrea!
March 2022: Our work ‘Energy Efficient Sampling Policies for Edge Computing Feedback Systems‘ is accepted to IEEE Transactions on Mobile Computing (TMC).
March 2022: Our work ‘Scheduling of Wireless Edge Networks for Feedback-Based Interactive Applications‘ is accepted to IEEE Transactions on Communications (TCOM).
March 2022: Our work on ‘Age penalty and sampling frequency trade-off‘ is accepted to IEEE Transactions on Communications (TCOM).
November 2021: Our work ‘Fast and Efficient Online Selection of Sensors for Transmitter Localization‘ is accepted to IEEE COMSNET 2022.
November 2021: I will serve on the TPC of IFIP Networking 2022.
November 2021: I will serve on the TPC of IEEE IWQoS 2022.
July 2021: In October, James Gross and I are offering a course at KTH on Delay and Freshness Analysis using Network Calculus (course details). The classes will be conducted online and you are welcome to join at https://kth-se.zoom.us/j/7804839567.
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
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
The Case for Hierarchical Deep Learning Inference at the Network Edge
Ghina Al Atat, Andrea Fresa, Adarsh Prasad Behera, Vishnu Narayanan Moothedath, James Gross, Jaya Prakash Champati
NetAISys '23: Proceedings of the 1st International Workshop on Networked AI Systems. Helsinki, Finland. June 2023
Offloading Algorithms for Maximizing Inference Accuracy on Edge Device in an Edge Intelligence System
Andrea Fresa, Jaya Prakash Champati
IEEE Transactions on Parallel and Distributed Systems. 10.1109/TPDS.2023.3267458. Volume 34 , IEEE. ISSN: 1045-9219. April 2023
Online Algorithms for Hierarchical Inference in Deep Learning applications at the Edge
Vishnu Narayanan Moothedath, Jaya Prakash Champati, James Gross
pp. 23 , arXiv. April 2023