Ankur Nahar

About

Dr. Ankur is currently serving as an Assistant Professor at Plaksha University, Mohali. He earned his Ph.D. from Indian Institute of Technology (IIT) Jodhpur, where he was mentored by Dr. Debasis Das from IIT Jodhpur and Prof. Sajal K. Das from Missouri University of Science and Technology, USA.

Ankur's research focuses on the design and optimization of scalable, secure, and intelligent network architectures spanning Software-Defined Networking (SDN), 5G/6G core, and Internet routing (BGP) systems. He aims to develop adaptive control-plane mechanisms and efficient resource allocation mechenism, congestion avoidance, and low-latency data delivery in heterogeneous networks. His broader objective is to advance programmable and self-healing network infrastructures integrating edge/fog computing and network intelligence for real-time applications.

Employment

• Plaksha University Assistant Professor
  2024 - Present
• Shri Vaishnav Vidyapeeth Vishwavidyalaya Assistant Professor
  2017 - 2019
• Indore Institute of Science and Technology Assistant Professor
  2014 - 2017
• Orient technology pvt. ltd. Network Support Engineer
  2011 - 2011

Education

• Indian Institute of Technology Jodhpur PhD
  2019 - 2025
• IPS Academy Master of Engineering
  2012 - 2014
• Regional College for Education Research and Technology B.Tech
  2007 - 2011

Projects & Funding

Projects & funding information is unavailable.

Publications (24)

• qIoV: A quantum-driven approach for environmental monitoring and rapid response systems using internet of vehicles
  Ad Hoc Networks 2026 DOI: 10.1016/j.adhoc.2026.104158
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• FedBio-AD: Federated learning enabled digital biomarker framework for early Alzheimer’s disease detection
  Expert Systems with Applications 2026 DOI: 10.1016/j.eswa.2026.132965
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• Meta-enhanced hierarchical multi-agent reinforcement learning for dynamic spectrum management and trust-based routing in cognitive vehicular networks
  Ad Hoc Networks 2025 DOI: 10.1016/j.adhoc.2025.103874
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• A Hypergraph Approach to Deep Learning Based Routing in Software-Defined Vehicular Networks
  IEEE Transactions on Mobile Computing 2025 DOI: 10.1109/TMC.2024.3520657
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• DyBatch: Message Prioritization and Priority-driven Dynamic Batch Verification in Large-scale IoV Networks
  IEEE Transactions on Vehicular Technology 2025 DOI: 10.1109/TVT.2025.3621547
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• MRMH: Multi-Constraint Routing Optimization Using Hybrid Metaheuristics in Vehicular Ad-Hoc Networks
  IEEE Transactions on Network Science and Engineering 2025 DOI: 10.1109/TNSE.2025.3575271
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• Clouds on the Road: A Software-Defined Fog Computing Framework for Intelligent Resource Management in Vehicular Ad-Hoc Networks
  IEEE Transactions on Mobile Computing 2024 DOI: 10.1109/TMC.2024.3419016
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• Design and Implementation of an active safety system for Vehicular Ad-Hoc Networks(VANETs)
  International Conference on Information Networking 2024 DOI: 10.1109/ICOIN59985.2024.10572061
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• RF-CVN: Recurrent Reinforcement Learning Framework for Cognitive Vehicular Ad-Hoc Networks Routing
  IEEE Wireless Communications and Networking Conference Wcnc 2024 DOI: 10.1109/WCNC57260.2024.10570523
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• qIoV: A Quantum-Driven Internet-of-Vehicles-Based Approach for Environmental Monitoring and Rapid Response Systems
  Arxiv 2024 DOI: 10.48550/arXiv.2403.18622
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