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.
PhD student position in Edge Intelligence and IoT. Please apply.
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.
January 2022: Getting the Best of Both Worlds (IoT and Edge) using Hierarchical Inference, invited talk at Indian Institute of Science (IISC), Bengaluru, India.
January 2022: We have a PhD position in Edge Intelligence and IoT. Please apply.
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.
Distributed Inference for Energy-efficient Monitoring at the Network Edge NoteMore infoarrow_right_alt
Energy-efficient Monitoring in the era of Edge IntelligenceMore infoarrow_right_alt
Scientific Reports. DOI: 10.1038/s41598-023-27951-3. Springer Nature. ISSN: 2045-2322. January 2023
ACM/IEEE International Conference on Modelling, Analysis and Simulation of Wireless and Mobile Systems. Montreal, Canada. October 2022
epiDAMIK 5.0: The 5th International workshop on Epidemiology meets Data Mining and Knowledge discovery. Washington DC, USA. August 2022
IEEE Transactions on Mobile Computing. 10.1109/TMC.2022.3165852. IEEE. April 2022
IEEE Transactions on Communications. 10.1109/TCOMM.2022.3163761. March 2022