• Ph.D. in Computer Science & Engineering (Pursuing) – Shri Mata Vaishno Devi University, Katra.
• M.E. in Computer Science & Engineering– Punjab Engineering College, Chandigarh (2009)
  Specialization: Computer Networks
• B.E. in Computer Science & Engineering – Rajasthan University (2006)

• Assistant Professor, School of Computer Science & Engineering 
  Shri Mata Vaishno Devi University, Katra (2011–Present)

• Assistant Professor, Department of Computer Science 
  Banasthali University, Rajasthan(2010–2011)

• Lecturer, Computer Science & Engineering Department
  National Institute of Technology, Jalandhar (2009–2010)

Session  (January-May, 2025)

• Programming Using Python CSL DC102– CoursePlan – Course Material

• Faculty In-charge, Network Centre – Shri Mata Vaishno Devi University, Katra (2016–2019)

• Remote Centre Coordinator –IIT Bombay & SMVDU (2013–Present)

•  “Classification of COVID-19 on Chest X-Ray Images Using Deep Learning Model with  Histogram Equalization and Lung Segmentation”
   SN Computer Science, 2024.

•   “Malware Classification Using Machine Learning Models”
    Procedia Computer Science , 2024.

• “Twitter Profile Analysis using Bidirectional LSTM Networks”

Proceedings of the International Conference on Emerging Trends in IoT and Computing Technologies-2023

• “Feature Selection-Based Machine Learning Model for Malware Detection”

Proceedings of the International Conference on Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication(MDCWC 2023)

“Network Intrusion Detection System Using Machine Learning” 

Proceedings of Third Emerging Trends and Technologies on Intelligent Systems,ETTIS 2023

• “Enabling Real-Time Vehicle-to-Vehicle (V2V) Communication for Intelligent Transportation System (ITS)“

Proceedings of the 5th International Conference on Optical and Wireless Technologies (OWT 2021)

• Master’s Thesis Advisor – Shri Mata Vaishno Devi University, Katra (2012–Present)

  • Mentored 12 Master’s students in computer networks, network security, software-defined networks, and machine learning.

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