Om Jee Pandey

About

Dr. Om Jee Pandey is currently working as an Assistant Professor in the Department of Electronics Engineering, IIT (BHU), Varanasi. Prior to joining IIT (BHU), he was working as an Assistant Professor in the Department of Electronics and Communication Engineering, School of Engineering and Applied Sciences, SRM University AP, Andhra Pradesh. He worked as a Postdoctoral Research Fellow with the Department of Electrical and Computer Engineering, University of Saskatchewan, Saskatoon, Canada under the guidance of Prof. Ha H. Nguyen after completion of his Ph.D. Program. He also worked as a research fellow with Prof. Rajesh M. Hegde in Wireless Sensor Networks Lab (ACES-204) at IIT Kanpur during January 2019 to May 2019. He also worked with industries such as Escorts Limited and FANUC India Pvt. Limited after completion of his B.Tech. programme.

As a part of educational qualification, he completed his Ph.D. Degree in January 2019 from the Department of Electrical Engineering, Indian Institute of Technology, Kanpur (IIT-K), India. He received his M.Tech. Degree in Digital Communication from ABV-Indian Institute of Information Technology and Management, Gwalior, India, in 2013. He obtained his B.Tech. Degree in Electronics and Communication Engineering from Uttar Pradesh Technical University, Lucknow, India, in 2008.

His research interest lies in the signal processing and communications for wireless networks, with specific focus on robust sensor node localization and tracking over wireless ad-hoc networks. He also works on related areas like network lifetime maximization, energy harvesting, network robustness, low-latency and energy-balanced data transmission, time synchronization, data fusion, data aggregation, autonomous node fault detection, and distributed detection and estimation in wireless sensor networks. Additionally, he also works in the areas of Low-Power Wide Area Networks (LPWANs), UAV-Assisted Edge and Fog Networks, Visible Light Communication (VLC), Cyber Physical Systems (CPS), Internet of Things (IoT), Blockchain-enabled IoT, and Physical Layer Wireless Communications. For more details about his research interests, please visit the below Google Scholar page:

https://scholar.google.co.in/citations?user=2lVVYf8AAAAJ&hl=en&oi=ao

He is a senior member of IEEE and IETE Fellow. He is a regular reviewer of various reputed journals including IEEE Transactions on Green Communications and Networking, IEEE Transactions on Network and Service Management, IEEE Transactions on Network Science and Engineering, IEEE Transactions on Wireless Communications, IEEE Transactions on Communications, IEEE Transactions on Vehicular Technology, IEEE Systems Journal, IEEE Sensors Journal, IEEE Internet of Things, IEEE Access, Ad hoc Networks, Computer Networks, Computer Communications, MDPI Sensors, MDPI Symmetry, MDPI Electronics, Wireless Personal Communications, IET Wireless Sensor Systems, and IET Intelligent Transport Systems.

Dr. Om Jee is also serving as an Associate Editor (From 12th June 2023) for the IEEE Transactions on Network and Service Management (IEEE TNSM) having an impact factor 5.3. Further details of the IEEE TNSM can be found at https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=4275028

Employment

• Indian Institute of Technology (BHU) Varanasi Assistant Professor
  2021 - Present
• University of Saskatchewan Postdoctoral Research Fellow
  2019 - 2019
• Indian Institute of Technology Kanpur Research Fellow
  2019 - 2019

Education

• Atal Bihari Vajpayee Indian Institute of Information Technology and Management MTech.
  2011 - 2013
• Uttar Pradesh Technical University - Noida Campus B.Tech
  2004 - 2008

Projects & Funding

Projects & funding information is unavailable.

Publications (79)

• Enhancing PLS in UAV-Aided Backscatter Networks: A Multiagent DRL Framework with Federated Learning
  IEEE Transactions on Artificial Intelligence 2026 DOI: 10.1109/TAI.2026.3669890
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• Reinforcement Learning-Enabled Adaptive Fault-Tolerant RIS Architecture for Reliable IoT Signal Sensing
  IEEE Sensors Letters 2026 DOI: 10.1109/LSENS.2026.3720461
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• SNR-Adaptive Learning for 6G ISAC: Enabling Reliable and Low-Latency Wireless Intelligence
  IEEE Network 2026 DOI: 10.1109/MNET.2026.3706333
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• Revolutionizing 6G Communication: Unleashing the Potential of Reconfigurable Intelligent Surfaces
  2026 DOI: 10.1007/978-3-032-19042-0_5
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• QoS-Aware Network Selection in Hybrid RF-VLC Wireless Systems: A Stackelberg Game Approach
  IEEE Networking Letters 2026 DOI: 10.1109/LNET.2026.3653993
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• QEGT-Based Adaptive Routing for Energy-Efficient and Reliable Communication in UAV Swarm Networks
  IEEE Open Journal of the Communications Society 2026 DOI: 10.1109/OJCOMS.2026.3715691
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• Hybrid Cyclostationary and Machine Learning-Driven Spectrum Access in Downlink NOMA: Detection and Throughput Optimization
  IEEE Wireless Communications Letters 2026 DOI: 10.1109/LWC.2026.3662154
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• Gain-Based Ant Colony Optimization-Driven Data Routing Mechanism for IoT-Enabled Sensor Networks
  IEEE Transactions on Network and Service Management 2026 DOI: 10.1109/TNSM.2026.3702432
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• Energy-Efficient Network Cut Detection and Recovery Mechanism for Cluster-Based IoT Networks
  IEEE Transactions on Network and Service Management 2026 DOI: 10.1109/TNSM.2026.3677868
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• Deep Reinforcement Learning-Based AoI Optimization for AUV-Assisted Data Collection in IoUT Networks
  IEEE Networking Letters 2026 DOI: 10.1109/LNET.2026.3706766
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