Anukriti Kaushal

Anukriti Kaushal is an academic and researcher with over four years of experience in deep learning, machine learning, and image forensics. She is currently serving as an Assistant Professor in the Department of Computer Science and Engineering at Delhi Technological University (DTU), where she is actively involved in teaching, research, and the supervision of graduate students. Alongside her academic responsibilities, she is pursuing a Ph.D., with research focused on manipulated image detection using deep learning, including GAN-based deepfakes and high-compression image analysis. Her research interests span computer vision, digital image forensics, digital security and privacy, and large language models. She has actively participated in and delivered expert talks through various faculty development programs and workshops, contributing to academic and pedagogical advancement. Her scholarly contributions include publications in reputed international journals and conferences, and she also holds a patent, reflecting her commitment to innovation and applied research in the field of digital image authenticity and security.

• Assistant Professor, Department of Computer Science & Engineering, DTU.
• Deputy Coordinator (IPR-TT), Corporate Relations Office, DTU.
• Co-In-Charge, DBMS Lab, Department of CSE, DTU.
• Certified ISO Auditor (ISO QMS).
• Member, ISO Team, Department of CSE, DTU (2023–24, 2024–25).
• Member, Mid-Semester Examination Organising Committee, Department of CSE, DTU (2023–24, 2024–25, 2025-2026).
• Member, Registration-cum-Orientation Committee for B.Tech. Induction Programme (2023–24, 2024–25, 2025-2026).

• Programming Fundamentals (CO 101/102)

• Data Structures (CO 201 / CS 104)

• Compiler Design (CS 301/ CO 302)

• Computer Networks (CO 306)

• Distributed Systems ( CS 309n / CO 407)

• Machine Learning (CO 327)

• Deep Learning (CS 318)

 

1. A Review on Deepfake Generation and Detection: Bibliometric Analysis was published in Multimedia Tools and Applications (Springer), Vol. 83, 2024, SCIE-indexed, Impact Factor: 3.0.

2. Charting the Growth of Text Summarisation: A Data-Driven Exploration of Research Trends and Technological Advancements was published in Applied Sciences (MDPI), Vol. 14, 2024, SCIE-indexed, Impact Factor: 2.5.

3. Revolutionizing Hyperspectral Image Classification for Limited Labeled Data: Unifying Autoencoder-Enhanced GANs with Convolutional Neural Networks and Zero-Shot Learning was published in Earth Science Informatics (Springer), Vol. 18, 2025, SCIE-indexed, Impact Factor: 3.0.

4. The Societal Impact of Deepfakes: Advances in Detection and Mitigation was presented at the 14th International Conference on Computing, Communication and Networking Technologies (ICCCNT), 2023, IEEE Xplore and Scopus indexed.

5. A Comparative Study on DeepFake Detection Algorithms was presented at the 4th International Conference on Advances in Computing, Communication and Control, 2022, IEEE Xplore and Scopus indexed.

6. SobelMNet: A Lightweight CNN-Based Approach for Median Filtering Detection in Compressed Images was presented at the 27th International Conference on Advanced Communications Technology (ICACT), 2025, IEEE Xplore and Scopus indexed.

7. Predictive Analytics of Stock Market as a Time Series was presented at the 4th International Conference on Advances in Computing, Communication and Control, 2022, IEEE Xplore and Scopus indexed.

8. FALCON: Frequency-Aware Lightweight Convolutional Optimized Network was presented at the 3rd International Conference on Inventive Computing and Informatics (ICICI), 2025, IEEE Xplore and Scopus indexed.

9. Hyperparameter Tuning for Domain-Specific Text Generation: A Case Study with FLAN-T5 was presented at the 3rd International Conference on Inventive Computing and Informatics (ICICI), 2025, IEEE Xplore and Scopus indexed.

10. Operator Chain Detection in Image Forensics Using a Two-Stream CNN was presented at the 3rd International Conference on Inventive Computing and Informatics (ICICI), 2025, IEEE Xplore and Scopus indexed.

11. Deep Learning Strategies for Effective Image Forgery Detection and Localization was presented at the International Conference on Computer, Electronics, Electrical Engineering and Their Applications, 2024, Scopus indexed.

12. Devanagari Character Recognition Using MLP-Mixer and CNN Extracted Features was presented at the IEEE World Conference on Applied Intelligence and Computing (AIC), 2023, IEEE Xplore and Scopus indexed.

13. Face Manipulation Detection in Images Using Inception Layers and Graph Convolutional Networks was presented at the International Conference on Innovative Data Communication Technologies, 2023, Scopus indexed.

Patent Granted (No. 578276): Hearing Aid System and Method for Context-Aware Alarm Detection and Personalized Biometric Feedback.