Faisal Z. Qureshi
Scholar

Faisal Z. Qureshi

Google Scholar ID: w2TkNysAAAAJ
Professor, Ontario Tech University
Camera NetworksVirtual VisionHyperspectral Image AnalysisVisual Surveillance
Citations & Impact
All-time
Citations
2,168
 
H-index
13
 
i10-index
17
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • October 15, 2025: Published a survey paper on Compositional Zero-Shot Learning, in collaboration with ITU and MBZUAI
  • June 25, 2025: Published a paper titled 'AdVision: An efficient and effective deep learning based advertisement detector for printed media', accepted to appear in Elsevier’s Machine Learning with Applications journal
  • June 17, 2025: Student Shima Rezasoltani successfully defended her doctoral thesis on 'Hyperspectral Image Compression using Implicit Neural Networks' and was nominated for best thesis award
  • June 16, 2025: Student Adam Lycksam successfully defended his doctoral thesis on 'From Concepts to Conditions: Bridging the Gap in AI-Based Maintenance Systems'
  • May 29, 2025: Received the Lifetime Achievement (Service) Award from the Canadian Information Processing and Pattern Recognition Society
  • May 21, 2025: Student Kiran Mantripragada successfully defended his doctoral thesis on 'Latent Dirichlet Variational Autoencoder: A Novel Approach for Hyperspectral Image Analysis and Pixel Unmixing Exploring Deep Learning Architectures' and was nominated for best thesis award
  • April 20, 2025: Published a paper titled 'TLAC: Two-stage LMM Augmented CLIP for Zero-Shot Classification', accepted to appear in Multimodel Learning and Applications Workshop, co-located with CVPR 2025
  • April 17, 2025: Honours thesis students Srivathsan Sivakumar, David Houle-Tymeczko, Aaveg Shangari, Daniel Zajac successfully completed their theses. David’s thesis received the Best CS Undergraduate Honours Thesis Award 2025, Data Science Track
  • January 2, 2025: Published two papers 'Hyperspectral Image Compression Using Implicit Neural Representation and Meta-Learned Based Network' and 'Single Hyperspectral Image Super-Resolution utilizing Implicit Neural Representations', both accepted to appear in ICPRAM 2025
  • December 18, 2024: Student Muhammad Salik Nadeem successfully defended his thesis on skeleton-based human action recognition and was nominated for best thesis award
  • November 25, 2024: Published a paper titled 'Hyperspectral Image Compression Using Sampling and Implicit Neural Representations', accepted to appear in IEEE TGRS
  • October 24, 2024: Published a paper titled '20 years of the Bio-Analytic Resource for Plant Biology', published in Nucleic Acids Research, in collaboration with the Cell and Systems Biology department, University of Toronto
  • September 23, 2024: Published a paper titled 'Attention Based Simple Primitives for Open-World Compositional Zero-Shot Learning', accepted to appear in DICTA 2024, in collaboration with A. Munir, M. Ali from ITU, Lahore, and M.H. Khan from MBZUAI, UAE
Research Experience
  • Current Professor at Ontario Tech University in Computer Science, focusing on areas such as computer vision and deep learning
Background
  • Professor in Computer Science, Visual Computing Lab, Faculty of Science, Ontario Tech University (formerly UOIT)
Miscellany
  • Personal interests include family-related content (such as Aittios and Elena), and his father's books
Co-authors
0 total
Co-authors: 0 (list not available)