Ms. Nitu Yadav is an academician, previously working as Assistant Professor in the Department of Computer Science & Engineering, Chandigarh Group of Colleges, Jhanjeri, Mohali (AICTE approved, affiliated to IKGPTU, Jalandhar), where she earlier worked as a Research Scholar (February 2023 – August 2025). She has over 3 years of experience in teaching and research with expertise in Deep Learning, Machine Learning and Artificial Intelligence. She is pursuing a Ph.D. with a specialization in Deep Learning at Indira Gandhi University (since 2023), where she has developed a CNN-based model for the Detection and Prevention of Deepfake Images.

Ms. Yadav’s research focuses on deep learning-based detection and prevention of deepfake and forged facial images, including a CNN-based detection framework and DeepProtect, an integrated CNN-based detection, watermarking, and adversarial disruption framework. Her research contributions include publications in Web of Science-indexed international journals such as Archives for Technical Sciences and Proceedings on Engineering Sciences, and in international conferences including TIACOMP 2024, NETCRYPT-25 (JNU Delhi), ICRITO’25 (Amity University, Noida), and ICAICCIT-2025 (MRIIRS, Faridabad), along with presentations at national conferences and seminars. She has completed certifications and faculty development programmes with C-DAC, NITTTR Chandigarh, NIT Kurukshetra (DeLTA-2025), and IGU Rewari in areas such as advanced computing, deep learning, MATLAB, and AI for cyber security. Her areas of expertise include Data Structures & Algorithms, Machine Learning & AI, Database Management Systems, Computer Networks, Software Engineering, Web Technologies, and Python/Java/C++.

Educational Qualification 

• Ph.D. (Pursuing), Computer Science & Engineering, Indira Gandhi University, Rewari, Haryana (since 2023)
  – Topic: Detection and Prevention of Deepfake Images using a CNN-Based Model (Specialization: Deep Learning)
• UGC NET JRF (2022)
• M.Tech., Computer Science & Engineering, M.D. University, Rohtak, Haryana (2014)
• B.Tech., Computer Science & Engineering, M.D. University, Rohtak, Haryana (2012)

Research and Scholarly Publication

INTERNATIONAL JOURNAL PUBLICATIONS

• Nitu Yadav, Savita Sheoran, “A CNN-Based Framework for Detection and Prevention of Fake Facial Images”, Archives for Technical Sciences (Indexed in Web of Science), (Accepted).
• Nitu Yadav, Savita Sheoran, “Analyzing Visual Features for Real vs. Fake Face Detection”, Proceedings on Engineering Sciences (Published in IJCISM), Indexed Scopus Q3.

INTERNATIONAL CONFERENCE PUBLICATIONS

• Savita Sheoran, Nitu Yadav, “The Role of Deep Learning in Attaining the Sustainable Development Goals”, TIACOMP 2024, (Published).
• Savita Sheoran, Nitu Yadav, “Deepfake Detection Using Hybrid CNN and ML Techniques”, NETCRYPT-25, JNU Delhi, May 2025, (Published).
• Savita Sheoran, Nitu Yadav, “AI-Based Image Forgery Detection (AI-IFD)”, ICRITO’25, Amity University, Noida, Sep 2025, (Published).
• Savita Sheoran, Nitu Yadav, “Comparative Analysis of State-of-the-art Deepfake Detection Models”, ICAICCIT-2025, MRIIRS, Faridabad, Oct 2025, (Published).

NATIONAL CONFERENCE/SEMINAR PUBLICATIONS

• Savita Sheoran, Nitu Yadav, “Digital Literacy in India”, National Workshop on Education and Big Data Analytics, Jan 2025, (Presented).
• Savita Sheoran, Nitu Yadav, “A Deep Hybrid Model CNN-SVM for Deepfake Image Identification”, IC-RTIMSSC-2025, (Presented).
• Savita Sheoran, Nitu Yadav, “Study of Deep Learning in Deepfake Image Prevention”, ICRTSET-2023, Jalgaon, (Presented).