Ms. Anjali Pal

I am a Ph.D. scholar in the Department of Computer Science at the University of Delhi, New Delhi, and am currently in the final stage of my doctoral submission. Prior to pursuing my Ph.D., I served as an Assistant Professor at Lovely Professional University (LPU), Punjab. My research focuses on the design and optimization of image signal processing (ISP) pipelines using deep learning techniques. My broader research interests include computer vision, deep learning, and digital image signal processing, with a particular emphasis on developing efficient and intelligent imaging solutions for real-world applications.

• BSc.(H) Computer Science 2012-2015 (University of Delhi)
• MCA 2015-2018 (GGSIPU)
• PhD. 2022- Present (University of Delhi) 

• Enhanced smartphone imaging: Assessment of deep learning based image signal processing pipeline,A Pal, P Sehgal, R Bansal,Digital Signal Processing 162, 105179
• An efficient single-stage ISP for smartphones using global contextresidual dense and residual channel attention modules,R Bansal, A Pal, P Sehgal, Journal of Real-Time Image Processing 22 (3), 110 

• Anjali Pal, Priti Sehgal, Roli Bansal, “Complex U-Net: A complex convolution approach tofrequency domain image signal processing in a smartphone camera,” 4th International Conference on Machine Learning and Data Engineering, 2025. [Paper Presented] 
• Anjali Pal, Roli Bansal, Priti Sehgal “FD-ISPNet: A Learned Feature-Domain Diffusion Image Signal Processing Network for Smartphone RAW to-RGB Reconstruction,” 9th International Conference on Innovative Computing and Communication (ICICC), 2026, [Accepted] 
• Anjali Pal, Priti Sehgal, Roli Bansal, ViT-ISPNet: Vision Transformer Based Smartphone Camera ISP Network for Global Region Modeling” 28th – International Conference on Pattern Recognition, 2026, [Communicated] 

• Qualified for National Eligibility Test (NET) for Assistant Professor, University Grants Commission, India., Best Paper Award In ICICC conference,2025