6th Floor,

Arfa Software Technology Park, Lahore

P (042) - 111-111-ITU (488)

Dr. Mohsen Ali
Assistant Professor
PhD- Computer Engineering, University of Florida, USA

My current research interest lies in solving theoretical and practical problems entailing Computer Vision and Machine Learning, specifically on the problems related to image co-segmentation, remote sensing, medical imaging and affective computing. Our group works extensively in Deep Learning, not only exploring innovative application of deep learning on existing problems but specially extending its theoretical understanding.


Mohsen Ali is an Assistant Professor at Department of Computer Science of  Information Technology University. He is co-founder of Intelligent Machines Lab at ITU and heads Computer Vision Research Group. He received his doctoral degree from the Department of Computer and Information Science and Engineering, the University of Florida in 2014. Previously he received his MSc and MS in Computer Science degrees from Punjab University College of Information Technology and Lahore University of Management Sciences respectively. He is a Fulbright Scholar.

His research interests lie in the areas of Computer Vision and Machine Learning, specifically Deep Learning and sparse representation. Some of the research problems he is pursuing are satellite/aerial imagery analysis (research page), affective computing (research page) and multi-image co-segmentation.


Fall 2021 : Computer Vision
Spring 2021 : Deep Learning
Fall 2020 : Neumarical Analysis
Spring 2020 : Deep Learning
Fall 2019 : Computer Vision
Spring 2019 : Deep Learning
Fall 2018 : Computer Vision
Spring 2018: Deep Learning
Fall 2017 : Computer Vision

Selected Publications

High-Level Concepts for Affective Understanding of Images
Afsheen Rafaqat Ali, Usman Shahid, Mohsen Ali and Jeffrey Ho,
IEEE Winter Conference on Applications of Computer Vision, 2017
[ PDF | Project page ]
Deconstructing Binary Classifiers in Computer Vision
Mohsen Ali and Jeffrey Ho,
Asian Conference on Computer Vision, 2014
[ PDF | Project page ]

Deconstructing Kernel Machines
Mohsen Ali, Muhammad Rushdi, and Jeffrey Ho,
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2014
[ PDF | Project page ]

Affine-Constrained Group Sparse Coding and Its Application to Image-Based Classification
Mohsen Ali, Yu-Tseh Chi, Muhammad Rushdi, and Jeffrey Ho
Proceedings of IEEE International Conference on Computer Vision (ICCV 2013)

Block and Group Regularized Sparse Modeling for Dictionary Learning
Yu-Tseh Chi, Mohsen Ali, Ajit Rajwade, and Jeffrey Ho
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2013)

Color De-Rendering using Coupled Dictionary Learning
Muhammad Rushdi, Mohsen Ali, Jeffrey Ho
20th IEEE International Conference on Image Processing (ICIP) 2013

MLSL: Multi-Level Self-Supervised Learning for Domain Adaptation with Spatially Independent and Semantically Consistent Labeling
Javed Iqbal, Mohsen Ali
IEEE Winter Conference on Applications of Computer Vision, 2020
Project Webpage :
pdf :

Twin-Net Descriptor: Twin Negative Mining With Quad Loss for Patch-Based Matching
A Irshad, R Hafiz, M Ali, M Faisal, Y Cho, J Seo
IEEE Access, 2019

Deep built-structure counting in satellite imagery using attention based re-weighting
A Shakeel, W Sultani, M Ali
ISPRS Journal of Photogrammetry and Remote Sensing, 2019

  • Proposal accepted for the Google Research Scholar Award
  • Fulbright Scholar for PhD
  • Dean's Honor List at LUMS
  • Secured top position in PGD and MSc at PU
  • Awarded full scholarship to pursue MSc studies at PU