Rahul Kumar Verma

About

Dr. Rahul Kumar Verma is currently an Assistant Professor in the Department of Computer Science at IIIT Lucknow. He received his Master’s and Ph.D. degrees from ABV-Indian Institute of Information Technology and Management (ABV-IIITM), Gwalior. He also worked as a Research Associate in the Department of Civil Engineering at the University of Peradeniya, Sri Lanka, where he contributed to interdisciplinary research involving smart sensing and civil-infrastructure health monitoring.

His research interests include Wireless Sensor Networks, Internet of Things (IoT), Edge Computing, and the application of Machine Learning in intelligent systems. His work focuses on energy-efficient data acquisition, computation offloading, and context-aware sensing for Industry 4.0 environments, UAV-based agricultural monitoring, and collaborative robot networks.

Employment

• Indian Institute of Information Technology Lucknow Assistant Professor
  2021 - Present
• Bennett University Assistant Professor
  2020 - 2021

Education

• Atal Bihari Vajpayee Indian Institute of Information Technology and Management PhD
  2015 - Present
• Atal Bihari Vajpayee Indian Institute of Information Technology and Management M.Tech
  2013 - 2015

Projects & Funding

Projects & funding information is unavailable.

Publications (19)

• A comparative study and survey of chain-based routing protocols in wireless sensor networks
  Journal of Supercomputing 2025 DOI: 10.1007/s11227-025-07412-6
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• A Taxonomy and Survey on Grid-Based Routing Protocols Designed for Wireless Sensor Networks
  ACM Computing Surveys 2024 DOI: 10.1145/3653315
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• QoS-aware edge server placement for collaborative predictive maintenance in industrial internet of things
  Journal of Supercomputing 2024 DOI: 10.1007/s11227-024-06210-w
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• Efficient Trajectory Planning and Route Adjustment Strategy for Mobile Sink in WSN-assisted IoT
  2022 IEEE Region 10 Symposium (TENSYMP) 2022 DOI: 10.1109/tensymp54529.2022.9864434
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• A survey on event-driven and query-driven hierarchical routing protocols for mobile sink-based wireless sensor networks
  The Journal of Supercomputing 2022 DOI: 10.1007/s11227-022-04327-4
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• Energy and delay efficient data acquisition in wireless sensor networks by selecting optimal visiting points for mobile sink
  Journal of Ambient Intelligence and Humanized Computing 2022 DOI: 10.1007/s12652-022-03729-9
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• EDVWDD: Event-Driven Virtual Wheel-based Data Dissemination for Mobile Sink-Enabled Wireless Sensor Networks
  The Journal of Supercomputing 2021 DOI: 10.1007/s11227-021-03714-7
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• NHCDRA: a non-uniform hierarchical clustering with dynamic route adjustment for mobile sink based heterogeneous wireless sensor networks
  Wireless Networks 2021 DOI: 10.1007/s11276-021-02585-3
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• Correction to: EDVWDD: Event‑Driven Virtual Wheel‑based Data Dissemination for Mobile Sink‑Enabled Wireless Sensor Networks (The Journal of Supercomputing, (2021), 77, 10, (11432-11457), 10.1007/s11227-021-03714-7)
  Journal of Supercomputing 2021 DOI: 10.1007/s11227-021-03790-9
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• Damage Detection in Bridge Structures: An Edge Computing Approach
  2020
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