Anil Kumar Prajapati

About

I hold a B.E. in Information Technology from Jaipur Engineering College (University of Rajasthan), an M.Tech in Computer Engineering from Malaviya National Institute of Technology (MNIT), Jaipur, and am currently pursuing a PhD in Computer Science and Engineering at MNIT, Jaipur.

I began my academic career as a Lecturer at JECRC UDML College of Engineering, followed by roles as an Assistant Professor at Swami Keshvanand Institute of Technology and Government Engineering College Jhalawar under the TEQIP-III Project.

Currently, I am working as an Assistant Professor in the Department of Data Science and Engineering at Manipal University Jaipur (since July 2024). I previously served as a Teaching Associate at IIT Kota (Sept 2023 – April 2024), and as an Assistant Professor under the TEQIP-III project at Government Engineering College Jhalawar (Jan 2018 – Sept 2021).

I actively contribute to academia through research publications, including presentations at international conferences like IEEE TENCON 2023 in Chiang Mai, Thailand. I was also honored with the Best Paper Award for my work on "Securing RPL-Based IoT Networks: A Hyperparameter Based Deep Learning Approach for Intrusion Detection" at ISNCC 2024, Washington DC. I am a member of IEEE and ACM, staying engaged with advancements in the field of computer science and engineering.

Employment

• Manipal University Jaipur Assistant Professor
  2024 - Present
• Indian Institute of Information Technology Kota Teaching Associate
  2023 - 2024
• Government Engineering College Jhalawar Assistant Professor
  2018 - 2021

Education

• Malaviya National Institute of Technology Jaipur Doctor of Philosophy
  2018 - Present
• Malaviya National Institute of Technology Jaipur Master of Technology
  2012 - 2014

Projects & Funding

Projects & funding information is unavailable.

Publications (6)

• Pi-Loc: a Pareto indoor localization using deep learning in 5GB
  Scientific Reports 2026 DOI: 10.1038/s41598-026-62117-x
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• VARUNA: verifiable adaptive resilient unified framework against byzantine attacks in federated learning-based IDS
  Scientific Reports 2026 DOI: 10.1038/s41598-026-61550-2
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• TICNN—A Hybrid Light-Weight CNN for Large Imbalanced Multi-Class Datasets on Intrusion Detection System in IoT
  IEEE Access 2026 DOI: 10.1109/ACCESS.2026.3663379
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• A comprehensive survey on RPL routing-based attacks, defences and future directions in Internet of Things
  Computers and Electrical Engineering 2025 DOI: 10.1016/j.compeleceng.2025.110071
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• Securing RPL-Based IoT Networks: A Hyperparameter Based Deep Learning Approach for Intrusion Detection
  2024 International Symposium on Networks, Computers and Communications (ISNCC) 2024
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• A Defense Solution to Secure Low-Power and Lossy Networks Against DAO Insider Attacks
  TENCON 2023-2023 IEEE Region 10 Conference (TENCON) 2023
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