IMDEA Networks
Dr. Jaya Prakash CHAMPATI
Research Assistant Professor
- PhD - University of Toronto, Canada
- Fecha de incorporación: Noviembre 2020
- Fecha de cese: Julio 2024
Biografía
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, resource allocation/scheduling problems that arise in networking and information systems, in general. Currently, my main focus is in modelling and analysis of Edge networks for supporting applications from Cyber-Physical Systems, and the Internet of Things. I am actively working on Learning at the Edge, Age of Information, and Computation Offloading for ML Inference. Some of the mathematical tools used in my research so far include the Design and Analysis of Approximation Algorithms, Queuing theory, Stochastic Network Calculus, and Markov Decision Processes.
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.
Proyectos de investigación
DIME
Coordinador del proyecto
Inferencia distribuida para la supervisión eficiente de la energía en el borde de la red Nota
Más informaciónarrow_right_altGREENEDGE
Investigador principal
Monitoreo energéticamente eficiente en la era de la inteligencia de borde
Más informaciónarrow_right_alt
Publicaciones
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. Volumen 2 , Febrero 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. Diciembre 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. Octubre 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. Volumen 177 , Elsevier. Septiembre 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.. Agosto 2023