Vaibhav Agarwal
National Institute of Technology Kurukshetra, Amity University - Gwalior Campus, Atal Bihari Vajpayee Indian Institute of Information Technology and Management
About
Vaibhav Agarwal is currently working as an Assistant Professor in the Department of Computer Engineering, National Institute of Technology, Kurukshetra, Haryana. He received a B.E. degree in computer science and engineering from Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal (M.P.), India, in 2011, the M. Tech. Degree in computer science and engineering specializing in advanced networks and Ph.D. Degree from the Atal Bihari Vajpayee Indian Institute of Information Technology and Management Gwalior (M.P.), India, in 2014 and 2023, respectively.
His research interests are Ad-hoc networks, Wireless Sensor Networks, Machine Learning, and the Internet of Things.
Employment
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National Institute of Technology Kurukshetra Assistant Professor-II2023 - Present
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Amity University - Gwalior Campus Assistant Professor2022 - 2023
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Amity University - Gwalior Campus Assistant Professor2014 - 2019
Education
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Atal Bihari Vajpayee Indian Institute of Information Technology and Management PH. D.2019 - 2023
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Atal Bihari Vajpayee Indian Institute of Information Technology and Management M. Tech.2012 - 2014
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Rajiv Gandhi Proudyogiki Vishwavidyalaya B.E.2007 - 2011
Projects & Funding
Projects & funding information is unavailable.
Publications (9)
- An Intelligent Mobile Sink-Based Fault Detection and Data Collection Scheme for Consumer IoT-Enabled Sensor Networks Save
- Energy Aware Congestion Control Mechanism for AIoT-enabled WSNs Save
- Energy Efficient Query Processing Mechanism for IoT-Enabled WSNs Save
- Intelligent Emergency Evacuation System for Industrial Environments Using IoT-Enabled WSNs Save
- Energy-Efficient Mobile Sink-Based Intelligent Data Routing Scheme for Wireless Sensor Networks Save
- Intelligent Fault-Tolerance Data Routing Scheme for IoT-enabled WSNs Save
- A Survey on Path Planning Techniques for Mobile Sink in IoT-Enabled Wireless Sensor Networks Save
- Emergency Evacuation System for Clogging Free and Shortest-Safe Path Navigation with IoT-enabled WSNs Save
- Comparing various classifier techniques for efficient mining of data Save