Welcome!
Fayyaz-ul-Amir Afsar Minhas
Hello, and Welcome to my research and teaching profile!
I am an associatMy primary area of research is machine learning in bioinformatics and computational pathology. I am affiliated with the PathLAKE Center of Excellence as well as the Tissue Image Analytics (TIA) Centre .
Prospective Students: I am looking for new graduate students. If you are interested, you can contact me at: fayyaz dot minhas at Warwick dot ac dot UK!
Highlights:
Stopping CRISPR with Machine Learning - Invited talk at the warwick health global research priorities webinar , Dec. 4, 2020.
"TIA, PathLAKE en daarbuiten" (TIA, PathLAKE and Beyond) by Fayyaz Minhas, Seminar Digitale Pathologie: Onderweg naar Computational Pathology en Ai, 26 May 2021.
Invited talk on "Whole Slide Images are Graphs" at the 7th Digital Pathology and AI congress (Dec 3, 2020)
A short tutorial on Solving the cat and mouse puzzle with reinforcement learning
Video presentation in IJCNN/WCCI 2020 on Generalized Neural Framework For Learning With Rejection
Video presentation in CVPR 2020 on Capturing Cellular Topology in Multigigapixel histopathology images
Video presentation in CVPR 2020 on Cross-Domain Knowledge Transfer for Prediction of Chemosensitivity in Ovarian Cancer Patients