Zulfiqar Ahmad Khan

Zulfiqar Ahmad Khan is a Research Fellow at the Department of Computer Science, Umeå University, working on real-time anomaly detection in surveillance contexts. His research focuses on adaptive machine learning systems for dynamic environments.

• Current role: Postdoctoral fellow in Computing Science
• Location: MIT House, Room MIT.D.226, Umeå, Sweden

Research Interests
Dr. Khan specializes in machine learning architectures for surveillance systems, particularly class-incremental learning and real-time anomaly recognition. His work bridges pattern recognition with computer vision for security applications.

Publications
Recent work includes a 2026 Pattern Recognition paper (Elsevier Vol. 170) on adaptive neural networks for security monitoring. This reflects his focus on deep learning solutions for evolving threat detection.