Atif Khurshid, M.Sc.

PhD Project:

Learning Search and Decision Mechanisms in Medical Diagnoses

Atif Khurshid joined the KEMAI Research Training Group in May 2025.
He received his M.Sc. degree in Computer Science from National University of Sciences and Technology Pakistan in 2023, where his research focused on computer vision and face recognition. Currently, he is pursuing his PhD under the supervision of Prof. Dr. Heiko Neumann and works on neural mechanisms for rapid global decision making and contexual guidance in medical images.

Research Interests

  • Artificial Intelligence and Machine Learning
  • Neural Information Processing
  • Computer Vision
  • Medical Image Analysis

Publications

Peer-Reviewed

  1. Atif Khurshid, Bostan Khan, Muhammad Shahzad, Muhammad Moazam Fraz, TVFace: Towards Large-scale Unsupervised Face Recognition in Video Streams, Pattern Analysis and Applications, https://doi.org/10.1007/s10044-025-01464-3, 2025.

  2. Muhammad Anwaar Khalid, Atif Khurshid, Kanwal Zulfiqar, Ulfat Bashir, Muhammad Moazam Fraz, A two-stage regression framework for automated cephalometric landmark detection incorporating semantically fused anatomical features and multi-head refinement loss, Expert Systems with Applications, https://doi.org/10.1016/j.eswa.2024.124840, 2024.

  3. Muhammad Sohail Abbas, Sonain Jamil, Atif Khurshid, Automated Deep Learning Based Knee Osteoarthritis Joint Extraction and Classification, 17th International Conference on Open-Source Systems and Technologies, https://doi.org/10.1109/ICOSST60641.2023.10414241, 2023.

  4. Atif Khurshid, Seemab Latif, Rabia Latif, Transfer Learning Grammar for Multilingual Surface Realisation, International Conference on Digital Futures and Transformative Technologies, https://doi.org/10.1109/ICoDT252288.2021.9441522, 2021.