Specialization

Multimedia Forensics, Computer Vision, Image Processing

Email

kapil.rana@thapar.edu

Education
1.    PhD in Computer Science and Engineering from the Indian Institute of Technology Ropar.
o    Thesis Title – Source Camera Image Forensics
2.    M. Tech. in Computer Science and Engineering from the National Institute of Technology Calicut
3.    B. Tech. in Computer Science and Engineering from Kurukshetra University. 

Experience
1.    Assistant Professor @ CSED TIET Patiala, India (Aug 2024 - present)
2.    Assistant Professor @ CSE Department, JUIT Solan, India (Feb 2024 - July 2024)

Journal publications
1.    Rana, Kapil, Puneet Goyal, and Gaurav Sharma. "Dual-branch convolutional neural network for robust camera model identification." Expert Systems with Applications 238 (2024): 121828.
2.    Kawoosa, H. S., Kanroo, M. S., Rana, K., & Goyal, P. (2024). Robust page object detection network for heterogeneous document images. International Journal on Document Analysis and Recognition (IJDAR), 1-17.
3.    Rathi, V., Rana, K., & Goyal, P. (2024). Iterative spectral correlation based multispectral image demosaicking. Signal, Image and Video Processing, 1-14.
4.    Rana, K., Pandey, A., Goyal, P., Singh, G., & Goyal, P. (2023). A novel privacy protection approach with better human imperceptibility. Applied Intelligence, 53(19), 21788-21798.
5.    Rana, K., Singh, G., & Goyal, P. (2023). SNRCN2: Steganalysis noise residuals based CNN for source social network identification of digital images. Pattern Recognition Letters, 171, 124-130.
6.    Rana, K., Singh, G., & Goyal, P. (2022). MSRD-CNN: Multi-scale residual deep CNN for general-purpose image manipulation detection. IEEE Access, 10, 41267-41275.

Conference publications
1.    Rana, K., Rathi, V., & Goyal, P. (2023, October). An Effective CNN-Based Method for Camera Model Identification in Privacy Preserving Settings. In 2023 IEEE International Conference on Image Processing Challenges and Workshops (ICIPCW) (pp. 1-5). IEEE.
2.    Dey, P., Jadhav, A. S., & Rana, K. (2023, November). An Effective CNN-Based Approach for Synthetic Face Image Detection in Pre-social and Post-social Media Context. In International Conference on Computer Vision and Image Processing (pp. 491-502). 

Peer reviewer for Journals
●    Artificial Intelligence Review
●    Springer Scientific Reports
●    Computer and Electrical Engineering
●    Neural Computing and Applications
●    IEEE Access

Honours and Achievements
●    Qualified Graduate Aptitude Test in Engineering (GATE) CS with 357 AIR in 2015 and 850 AIR in 2017.
●    Qualified National Eligibility Test (UGC-NET) for Assistant Professor in December 2018.