Atif Khurshid

About Me

I am a Computer Scientist working to advance the understanding and application of artificial intelligence in computer vision. I am interested in uncovering the underlying mechanisms that drive deep learning models, and in drawing inspiration from human visual perception to build more capable and efficient computer vision systems.

Currently, I am a PhD student at the Institute for Neural Information Processing at Ulm University. I am also associated with the Research Training Group on Medical XAI — Knowledge Infusion and Extraction for Explainable Medical AI. My research focuses on developing biologically-inspired computational models for medical image analysis.

Research Interests

• Computer Vision
  • Visual recognition
  • Self-supervised representation learning
  • Medical image analysis
• Neural Information Processing
  • Bio-inspired visual perception
  • Visual attention

News

• [May. 2025] I have joined the KEMAI research training group at the University of Ulm as PhD student.
• [Apr. 2025] Our paper about the TVFace dataset is accepted to PAA.
• [Jul. 2024] Our paper about cephalometric landmark detection is accepted to ESWA.
• [Nov. 2023] Our paper about knee osteoarthritis classification is accepted to ICOSST 2023.
• [Aug. 2023] I have joined the AI & Data Science department at FAST-NUCES as Lecturer.
• [Apr. 2021] Our paper about transfer learning grammar is accepted to ICoDT2 2021.

Teaching

• Data Structures
• Programming for AI
• Object-Oriented Programming

CV

Publications