Dr. Nazim Ashraf
Associate Professor
Department of Computer Science
Extension Number: 529
Office Number: S-301
Profile
Dr. Nazim Ashraf is an associate professor at the department of computer science at Forman Christian College (A Chartered University). He has a vast experience in research and teaching His areas of interest are Machine Learning and Computer Vision. He has also worked in Photonics Information Processing Systems Lab, Department of Electrical & Electronic Engineering at University College Cork, Ireland as a post-doc researcher. And as senior lecturer at the department of computer science, Indiana University.
Education
PhD. Computer Science, University of Central Florida
MSc. Computer Science, University of Central Florida
BSc. (Hons.) Computer Science, Lahore University of Management Sciences
Research and publications
• Nabeel A. Riza., and Nazim Ashraf. “First Demonstration of Calibrated Color Imaging by the CAOS Camera” in Photonics 8, no. 12: 538, 2021.
• Ammar Saqib, Sarah Sajid, Sheikh Mahad Arif, Amara Tariq, and Nazim Ashraf, “Domain Adaptation for Lane Marking: An Unsupervised Approach,” in IEEE International Conference on Image Processing (ICIP), 2020.
• Nabeel A. Riza, and Nazim Ashraf, Calibration-based minimalistic multi-exposure digital sensor camera robust linear high dynamic range enhancement technique demonstration, Optics Communications, Volume 486, 2021, 126789, ISSN 0030-4018,
https://doi.org/10.1016/j.optcom.2021.126789.
(https://www.sciencedirect.com/science/article/pii/S0030401821000390)
• Nabeel A. Riza., Nazim Ashraf, and Mohsin Mazhar, “Optimizing the CMOS Sensor-Mode for Extreme Linear Dynamic Range MEMS-based CAOS Smart Camera,” Imaging EPJ Web of Conferences, 2022.
• Nabeel A. Riza, Mohsin A. Mazhar, and Nazim Ashraf, “Solar Limb Darkening Color Imaging of the Sun with the Extreme Brightness Capability CAOS Camera” in Proc. IS&T London Imaging Meeting 2020: Future Colour Imaging, 2020, pp 69 – 73,
https://doi.org/10.2352/issn.2694-118X.2020.LIM-07
• Nabeel A. Riza, and Nazim Ashraf, “Robust Testing of Displays using the Extreme Linear Dynamic Range CAOS Camera,” IEEE 2nd British and Irish Conference on Optics and Photonics (BICOP), 2019.
• Nazim Ashraf, and Hassan Foroosh, “Motion retrieval using consistency of epipolar geometry,” IEEE International Conference on Image Processing (ICIP), 2015. Recognized as part of top 10% papers in the conference and nominee for best paper award.
• Nazim Ashraf, Chuan Sun, and Hassan Foroosh, “View invariant action recognition using projective depth,” Computer Vision and Image Understanding (CVIU), 2014. Journal 5-Year Impact Factor: 2.595.
• Nazim Ashraf, Yuping Shen, Xiaochun Cao, and Hassan Foroosh, “View Invariant Action Recognition Using Weighted fundamental ratios,” Computer Vision and Image Understanding (CVIU), 2013. Journal 5- Year Impact Factor: 2.595
• Nazim Ashraf, and Hassan Foroosh, “Human Action Recognition in Video Data using Invariant Characteristic Vectors,” IEEE International Conference on Image Processing (ICIP), 2012.
• Nazim Ashraf, Chuan Sun, and Hassan Foroosh, “Motion Retrieval Using Low-Rank Decomposition of Fundamental Ratios,” IEEE International Conference on Image Processing (ICIP), 2012.
• Nazim Ashraf, Yuping Shen and Hassan Foroosh, “View-Invariant Action Recognition Using Rank Constraint,” IEEE International Conference on Pattern Recognition (ICPR), 2010.
• Yuping Shen, Nazim Ashraf, and Hassan Foroosh, “Action Recognition based on Homography Constraints,” IEEE International Conference on Pattern Recognition (ICPR), 2008. Won Best Scientific Paper Award.
• Nazim Ashraf and Hassan Foroosh, “Robust Auto-Calibration of a PTZ Camera with Non-overlapping FOV,” IEEE International Conference on Pattern Recognition (ICPR), 2008.
• Nazim Ashraf, Imran Junejo, and Hassan Foroosh, “Near-Optimal Mosaic Selection for Rotating and Zooming Video Cameras,” Proc. of Asian Conference on Computer Vision (ACCV), Lectures Notes in Computer Science, volume 4844, Springer, 2007.
• Imran Junejo, Nazim Ashraf, Yuping Shen, and H. Foroosh, “Robust Auto-Calibration Using Fundamental Matrices Induced by Pedestrians,” IEEE International Conference on Image Processing (ICIP), Vol. III, 201-204, 2007.