Mr Prakhar Consul, Bennett University, India
Prakhar Consul is an Assistant Professor and Ph.D. candidate at Bennett University, specializing in Internet-of-Things, Mobile Edge Computing, and Deep Reinforcement Learning. He holds an M.Tech. in Electronics and Communication from Sharda University and a B.Tech. from Shobhit University. With a robust teaching background in subjects like Microprocessors and Embedded Systems, his research focuses on computational offloading and resource allocation for UAV-assisted Mobile Edge Computing in 5G networks. Prakhar has taught at Dewan V S Institute, Neelkanth Group of Institutions, and I A M R Group of Institutions. 🎓📡🤖📘
Publication profile
google scholar
Education
Dr. Prakhar Consul is a Ph.D. candidate in Computer Science Engineering at Bennett University, India, expected to complete in Nov. 2024. Their thesis focuses on computational offloading and resource allocation in mobile edge computing using machine learning in 5G networks 📡. They hold an M.Tech in Electronics and Communication from Sharda University (2015) with a thesis on microstrip patch antennas 📶. Dr. Prakhar Consul also has a B.Tech in Electronics and Communication from Shobhit University (2013) and completed their senior secondary education at J.A.S. Inter College 🏫. Their academic journey is marked by excellence and innovation in engineering and technology 💡.
Experience
Dr. Prakhar Consul served as an Assistant Professor in the Department of Electronics and Communication Engineering at Dewan V S Institute of Engineering and Technology (DVSIET), Meerut, India, from January 2020 to October 2021. Prior to this, they worked at Neelkanth Group of Institutions (NGI), Meerut, from August 2018 to January 2020 in the Department of Electronics and Electrical Engineering. From August 2015 to August 2018, they were part of the Department of Electronics and Communication Engineering at I A M R Group of Institutions, Meerut. Their extensive teaching experience highlights their dedication to education and engineering. 📚🔌👨🏫
Research focus
P. Consul’s research focuses on advancing wireless communication systems, with an emphasis on energy efficiency, security, and optimization in emerging technologies. His work includes developing innovative antenna designs, such as microstrip and U-slotted patch antennas, and enhancing energy-efficient schemes for mobile edge computing (MEC) using federated learning and reinforcement learning. He explores security in UAV-assisted systems, with solutions for secure computation and resource allocation in blockchain-assisted cyber-physical systems. His research also covers dual and triple band gap antennas and resource optimization strategies for digital twin-empowered UAV networks. 🚀📡🔐
Publication top notes
Triple band gap coupled microstrip U-slotted patch antenna using L-slot DGS for wireless applications
Federated learning based energy efficient scheme for MEC with NOMA underlaying UAV
Power allocation scheme based on DRL for CF massive MIMO network with UAV
Security reassessing in UAV-assisted cyber-physical systems based on federated learning
Deep reinforcement learning based energy consumption minimization for intelligent reflecting surfaces assisted D2D users underlaying UAV network
FLBCPS: federated learning based secured computation offloading in blockchain-assisted cyber-physical systems
A review of different vulnerabilities of security in a layered network
A hybrid secure resource allocation and trajectory optimization approach for mobile edge computing using federated learning based on WEB 3.0
A Hybrid Task Offloading and Resource Allocation Approach For Digital Twin-Empowered UAV-Assisted MEC Network Using Federated Reinforcement Learning For Future Wireless Network
Federated reinforcement learning based task offloading approach for MEC-assisted WBAN-enabled IoMT
