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Dr. Neetu Faujdar

Dr. Neetu Faujdar

Associate Professor , Computer Science & Engineering (CSE)

neetu.faujdar@sharda.ac.in

About

Dr. Neetu Faujdar received the B.E. degree in Information Technology from Visvesvaraya Technological University (VTU), Karnataka, in 2011, the M.Tech. degree in Computer Science and Engineering from Invertis University, Bareilly, in 2013, and the Ph.D. degree in Computer Science and Engineering from Jaypee University, Solan, India, in 2017. She has previously worked as an Assistant Professor at Amity University and GLA University. She is currently working as an Associate Professor in the Department of Computer Science and Engineering, Sharda University, India. She has published more than 85 research articles in reputed journals and international conferences. Her research interests include High-Performance Computer Architecture (HPCA), GPU Computing, Internet of Things (IoT), Computer Networking, and Cloud Computing. She is a member of professional societies such as the International Association of Engineers (IAENG) and the Institute of Research Engineers and Doctors (IRED).

Experience
  • 10 Years
Qualification
  • Phd: Jaypee University of Information Technology (JUIT), Waknaghat, Solan, Himachal Pradesh, INDIA.
  • MTech: Invertis University, Bareilly
  • BE: VTU, Belgaum Manglore
Award & Recognition

2026: Achieved 1,000 Google Scholar Citations, recognizing significant research impact and academic contributions.

2024: Recognized as a Session Chair/Keynote Speaker at ISCON.

2024: Honored with the Outstanding Faculty/Teaching Excellence Award by GLA University Mathura.

2024: Received appreciation for outstanding contribution to research, innovation, or academic administration from GLA University Mathura

Research

1. Reddy, Raja Gopal, and Neetu Faujdar. "Predictive analysis of heart disease based on hybrid random forest linear model." AIP Conference Proceedings. Vol. 3418. No. AIP Publishing LLC, 2026.

2. Chaudhary, Ankur, Neetu Faujdar, and Ghanshyam Singh. "DualPath‐DRNet: A Self‐Annotating Dual‐Path Networks for End‐To‐End Diabetic Retinopathy Diagnosis." Engineering Reports 8.6 (2026): e70816.

3. Faujdar, Neetu, et al. "Automated Brain Tumor Classification in MRI Images Using a Phased Fine-Tuning VGG19 Framework." 2026 International Conference on Intelligent Systems in Engineering, Secured Systems and Cybersecurity (ICISESSC). IEEE, 2026.

4. Pradhan, Sidhartha Sankar, Neetu Faujdar, Subhendu Sekhar Sahoo, and Amit Das. "Detecting Fake WhatsApp Messages with Knowledge Graphs using Machine Learning and Deep Learning." Arabian Journal for Science and Engineering (2026): 1-26.

5. Faujdar, Neetu, et al. "Design and Development of Four Leg Walker using IOT." 2025 IEEE 1st International Conference on Recent Trends in Computing and Smart Mobility (RCSM). IEEE, 2025.

Total articles : 85

Area of Interest

  • Algorithms using GPU Computing, AIML, IoT etc