معرفی
Kishor Chandra Joshi is a Research Fellow at CentraleSupélec working within the Laboratory of Signals and Systems (L2S), funded by a Marie Sklodowska-Curie Individual Fellowship (MSCA-IF) under Horizon 2020. His research focuses on mathematical modeling and optimization of programmable 5G networks to address ultra-dense millimeter wave deployments, energy efficiency, and network slicing challenges for futuristic applications like AR/VR, autonomous driving, and industry 4.0.
His expertise spans wireless communications, resource allocation, and machine learning applications in networking. He develops distributed deep reinforcement learning frameworks for power/beamwidth optimization, energy consumption models for mmWave networks, and game-theoretic strategies for admission control in network slicing systems. His work directly targets critical requirements for 6G applications including high data rates, ultra-low latency, and energy efficiency in ultra-dense environments.
Scientific Awards
- Marie Sklodowska-Curie Individual Fellowship (MSCA-IF) under Horizon 2020 (Grant Agreement No. 796378)
Dr. Joshi actively contributes to the academic community through technical program committee roles for IEEE FICLOUD 2019 (Energy Efficiency track), EUSIPCO 2019 (Machine Learning for Communications), and IEEE WFIoT 2021. His outreach includes participation in the European Researcher Night and Open Day events for high-school students, alongside specialized training in entrepreneurship, ERC proposals, open access publishing, and French language. He is embedded within L2S—a joint research unit of CentraleSupélec, CNRS, and Paris-Saclay University—where his work intersects with systems and control, telecommunications, and signal processing applications for energy and industry 4.0.
