Dr. Jaya Champati

Dr. Jaya Prakash Varma CHAMPATI

Research Assistant Professor

    • PhD - University of Toronto, Canada
  • Joining date: November 2020


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.

Postdoc position in Edge Intelligence. Apply here.


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.

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 on 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.


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