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Dr. Neetu Faujdar

Dr. Neetu Faujdar

Associate Professor , Computer Science & Engineering (CSE)

neetu.faujdar@sharda.ac.in

About

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 75 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
  • 9+ Years
Qualification
  • BE (IT), MTech (CSE), PhD (CSE)
Award & Recognition

  • Research Excellence Award: Awarded by University for outstanding performance in research methodology and contribution to scientific knowledge within my discipline.
  • Best Research Paper / Publication Recognition: Recognized for publishing high-quality research articles in peer-reviewed journals and international conferences, reflecting academic rigor and research depth.
  • Conference Presentation Awards: Received honours for best presentation / poster presentation at national and international academic conferences organized under the aegis of University or in collaboration with other institutions

Research

Total Publications: 75

Total Patents: 10

  • Dahiya, Neeraj, Edeh Michael Onyema, Venkataramaiah Gude, Neetu Faujdar, Gaytri Devi, and Reenu Batra. "Development of an Intelligent System for Enhanced Maintenance of Automobiles using Machine Learning." Scalable Computing: Practice and Experience 26, no. 5 (2025): 2145-2164.
  • Chaudhary, Ankur, Neetu Faujdar, and Ritesh Rastogi. "The Integration of the Internet of Things in FANET." Autonomous Flying Ad‐Hoc Networks (2025): 119-147.
  • Dalal, Surjeet, Umesh Kumar Lilhore, Neetu Faujdar, Sarita Simaiya, Akshat Agrawal, Uma Rani, and Anand Mohan. "Enhancing thyroid disease prediction with improved XGBoost model and bias management techniques." Multimedia Tools and Applications 84, no. 16 (2025): 16757-16788.
  • Lilhore, Umesh Kumar, Sarita Simaiya, Surjeet Dalal, and Neetu Faujdar. "Revolutionizing air quality forecasting: Fusion of state-of-the-art deep learning models for precise classification." Urban Climate 59 (2025): 102308.
  • Dalal, Surjeet, Neeraj Dahiya, Amit Verma, Neetu Faujdar, Sarita Rathee, Vivek Jaglan, Uma Rani, and Dac-Nhuong Le. "A Deep Learning Framework with Learning without Forgetting for Intelligent Surveillance in IoT-enabled Home Environments in Smart Cities." Recent Advances in Computer Science and Communications (2024).

Area of Interest

  • Algorithms using GPU Computing, AIML, IoT etc