Assistant Professor (Senior Grade)
Shobhit.tyagi@jiit.ac.in, Shobhit.tya@gmail.com
Educational Qualifications
- Ph.D., M.Tech, B.Tech
Biography
I am an Assistant Professor (Senior Grade) in the Department of CSE & IT at Jaypee Institute of Information Technology, Noida. My primary area of interest is computer vision and deep learning, with an emphasis on investigating and detecting artificial images and videos developed using GANs, popularly known as Deepfakes, and their impact on society. Prior to joining JIIT, I was an Assistant Professor at Sharda University, Greater Noida. I completed my Ph.D. and M.Tech from the National Institute of Technology Hamirpur in 2023 and 2019 respectively, and my B.Tech from Feroze Gandhi Institute of Engineering & Technology, Rae Bareli.
Work Experience
- Assistant Professor (Sharda University) – 1.5 years
Interest Area(s)
- Computer Vision, Image Forensics, Deep Learning
Publications
- Tyagi, S., & Yadav, D. (2023). ForensicNet: Modern convolutional neural network‐based image forgery detection network. Journal of Forensic Sciences, 68(2), 461-469.
- Tyagi, S., & Yadav, D. (2023). MiniNet: a concise CNN for image forgery detection. Evolving Systems, 14(3), 545-556.
- Tyagi, S., Yadav, D. A detailed analysis of image and video forgery detection techniques. Vis Comput 39, 813–833 (2023). https://doi.org/10.1007/s00371-021-02347-4
- Tyagi, S., & Yadav, D. (2022). A comprehensive review on image synthesis with adversarial networks: Theory, literature, and applications. Archives of Computational Methods in Engineering, 29(5), 2685-2705.
- Kalra, M., Tyagi, S., Kumar, V., Kaur, M., Mashwani, W. K., Shah, H., & Shah, K. (2021). A comprehensive review on scatter search: techniques, applications, and challenges. Mathematical Problems in Engineering, 2021(1), 5588486.
Conferences/ Workshops Attended
- Faculty Development Program on "Introduction to Machine Learning" – 12 Weeks (NPTEL)