Anukriti Kaushal

Assistant Professor, Department of Computer Science and Engineering
Delhi Technological University (DTU)

Phone: +91-8700721038
Email: anukritikaushal@dtu.ac.in
Verified Email: anukritikaushal@dtu.ac.in

Scopus ID: 58178665700

Google Scholar ID Link: https://scholar.google.com/citations?hl=en&user=R7H_2aMAAAAJ?

Profile Summary

I am a highly motivated academic and researcher with over four years of experience in deep learning, machine learning, and image forensics. My work focuses on detecting manipulated images, uncovering GAN-generated content, and ensuring digital image integrity in a rapidly evolving technological landscape. Currently, as an Assistant Professor at Delhi Technological University (DTU), I am dedicated to contributing to academia through teaching, research, and supervision of graduate students. Alongside teaching, I am pursuing a Ph.D. with research centred on manipulated image detection using deep learning. I have actively participated in various faculty development programs and workshops, enriching the learning environment and contributing to the academic community.

Academic Qualifications

• Ph.D. (Pursuing) – Delhi Technological University (DTU)
  Research Focus: Manipulated Image Detection using Deep Learning
  Key Areas: Image Forensics, GAN-based Deepfakes, High Compression Detection
• M.Tech in Computer Science and Engineering – Delhi Technological University
  Thesis: symmetric key encryption based on DNA cryptography
• B.Tech in Computer Science and Engineering – Delhi University (ARSD College)

Supervision/Guidance

MTech Supervision Details

1. Manish Kumar- 2K21/CSE/15 (M.Tech. CSE 2021-23) Thesis Title: A comparative analysis of face anti-spoofing detection approaches. 

2. Arpit Mahlawant-2K22/AFI/03 (M.Tech. AFI 2022-24) Thesis Title: An analysis of ConvNets on deepfake detection.

3. Rishabh Chauhan 2K23/CSE/13 (M.Tech. CSE 2023-25): Ongoing

4. Abhishek Maurya 2K23/AFI/20 (M.Tech. AFI 2023-25): Ongoing

5. Sakshi Shakya  2K24/CSE/05 (M.Tech. CSE 2024-26): Ongoing

6. Aditya Sharma 2K24/AFI/24 (M.Tech. AFI 2024-26): Ongoing

Professional Experience

Assistant Professor
Department of Computer Science and Engineering, Delhi Technological University
2020 - Present

• Teach and design course content for undergraduate and postgraduate students in key areas like Programming, Data Structures, Computer Networks, Distributed Systems, and Machine Learning.
• Supervise graduate student research projects focused on AI, computer vision, and image forensics.
• Lead research initiatives in the area of digital image authenticity, working on advanced techniques to detect image manipulation and Deepfakes.
• Published research in renowned international journals and conferences with a focus on machine learning and its applications in security and digital forensics.

Courses Taught

• Programming (C, C++)
• Data Structures
• Computer Networks
• Distributed Systems
• Machine Learning
• Compiler Design

Expert Talks and Faculty Development Programmes

• Delivered a two-day faculty development programme on the theme of Cloud Computing, Machine Learning, MATLAB, Reinforcement Learning, and Research Methodology at MMH College, Ghaziabad on 22-23 September 2023.
  • Shared insights into cutting-edge research and trends in machine learning and cloud technologies.
  • Conducted hands-on sessions on the integration of MATLAB and cloud-based tools for reinforcement learning applications.
  • Focused on practical applications and advancements in machine learning, cloud computing, and the use of MATLAB for research purposes.

Certifications

Certified ISO Auditor

• Acquired certification as an ISO Auditor, which equips me with the expertise to conduct internal and external audits of quality management systems (QMS) in alignment with ISO 9001:2015 standards.
• Responsibilities include assessing compliance with international quality standards, identifying gaps, and providing recommendations for improvement. This certification reflects my ability to ensure that academic and institutional processes meet stringent quality benchmarks, thereby promoting a culture of continuous improvement.

Research Interests

• Deep Learning
• Machine Learning
• Computer Vision
• Image Forensics
• Large Language Models (LLMs)
• Digital Security and Privacy

Selected Publications

SCIE Journals:

• Kaushal, A., Kumar, S. and Kumar, R., 2024. A review on deepfake generation and detection: bibliometric analysis. Multimedia Tools and Applications, pp.1-41.
• Kaushal, A., Lin, C.C., Chauhan, R. and Kumar, R., 2024. Charting the Growth of Text Summarisation: A Data-Driven Exploration of Research Trends and Technological Advancements. Applied Sciences (2076-3417), 14(23).
• Ranjan, P., Kaushal, A., Girdhar, A. and Kumar, R., 2025. Revolutionizing hyperspectral image classification for limited labeled data: unifying autoencoder-enhanced GANs with convolutional neural networks and zero-shot learning. Earth Science Informatics, 18(2), pp.1-26.

Conference Publications:

• Kaushal, R. Kumar and S. Kumar, "SobelMNet: A Lightweight CNN based Approach for Median Filtering Detection in compressed images," 2025 27th International Conference on Advanced Communications Technology (ICACT), Pyeong Chang, Korea, Republic of, 2025, pp. 244-248, doi: 10.23919/ICACT63878.2025.10936716.
• Kashyap, N., Yadav, P. and Kaushal, M.A., 2024, June. Deep Learning Strategies for Effective Image Forgery Detection and Localization. In 2024 International Conference on Computer, Electronics, Electrical Engineering & their Applications (IC2E3) (pp. 1-5). IEEE.
• Gupta, A., Sharma, A., Jha, A. and Kaushal, A., 2023, July. Devanagari Character Recognition Using MLP-Mixer and CNN Extracted Features. In 2023 IEEE World Conference on Applied Intelligence and Computing (AIC) (pp. 620-627). IEEE.
• Mahendroo, A., Beri, A. and Kaushal, A., 2023, March. Face Manipulation Detection in Images using Inception Layers and Graph Convolutional Networks. In 2023 International Conference on Innovative Data Communication Technologies and Application (ICIDCA) (pp. 276-281). IEEE.
• Kaushal, A., Singh, S., Negi, S. and Chhaukar, S., 2022, December. A comparative study on DeepFake detection algorithms. In 2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) (pp. 854-860). IEEE.
• Singh, A., Bansal, A., Nair, A. and Kaushal, A., 2022, December. Predictive Analytics of Stock Market as a Time Series. In 2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) (pp. 770-777). IEEE.

Skills and Technologies

• Programming Languages: Python, C, C++
• Tools and Libraries: TensorFlow, Keras, PyTorch, scikit-learn, OpenCV, MATLAB
• Software: MATLAB, Cloud-based platforms (AWS, Azure), Git, Jupyter Notebooks
• Auditing Skills: ISO 9001:2015, Quality Management Systems (QMS)