Dr. Ashutosh Balakrishnan
Maître de Conférences (Assistant professor),
Department of Computer Science and Networks,
Télécom Paris, France
(Associate member, LINCS, France/ Member, IEEE)
Additional Affiliations: Visiting researcher, DYOGENE group, INRIA Paris
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Ashutosh Balakrishnan (Member, IEEE) received the Ph. D. degree in Electrical Engineering jointly from I.I.T. Delhi, India and N.Y.C.U. Taiwan, in July 2024; and the B. Tech. (Hons.) degree in Electronics and Telecommunication engineering from the N.I.T. Raipur, India, in 2019.
Dr. Balakrishnan is currently a Maître de Conférences (Assistant professor), at the Dept. of Computer Science and Networks, Télécom Paris, France. He is also an associate member of LINCS, France, and a visiting researcher at INRIA Paris. Previously (Sept. 2024 - Aug. 2025), he was a post-doctoral fellow at Télécom Paris, France.
His research interests broadly pertain to analytical modeling based system design and performance evaluation of stochastic networks. Current research directions include low earth orbit satellite networks, joint communication & sensing, non-terrestrial networks, distributed energy systems, sustainability, and renewable energy based green future network design for upcoming 6G communications.
He has been a recipient of the Prime Minister’s Research Fellowship, Govt. of India; IEEE ComSoc student travel grant (2022, 2024); the Best Journal Award, ICST, NYCU Taiwan (2022); and the Innovation Excellence Award, COMSNETS (2024). Dr. Balakrishnan currently serves as the Editor of IEEE TRANSACTIONS ON COMMUNICATIONS.
Research directions
Mathematical modeling based system design and performance evaluation
Low earth orbit satellite, aerial, & non-terrestrial networks
Smart grid networks
Networked/ distributed energy systems
Sustainable & green communications, energy harvesting
Integrated sensing and communication
Spectrum sharing and coexistence
Cross-layer system design (PHY-MAC-NET)
Mathematical tools
Queuing theory
Stochastic geometry
Markov modeling
Optimization
Estimation theory, classical inference, Bayesian inference
Statistics
Machine learning
Contact Details
Email: balakrishnan@telecom-paris.fr
Alt.: ashutosh.balakrishnan@inria.fr
Office: Room number 4B-50, Department of Computer Science and Networks, Telecom Paris, Polytechnic Institute of Paris, Palaiseau 91120, France
ORCID ID: 0000-0003-1415-4628
Scopus ID: 57211920977
Web of Science Researcher ID: AAK-4344-2021
