Dr. Sajid Javed
Dr. Sajid Javed Assistant Professor
Teaching Areas
Research Interests

Assistant Professor, Department of Electrical Engineering and Computer Science

Dr. Sajid Javed is an Assistant Professor of Computer Vision at Khalifa University of Science and Technology, UAE, and a Research Affiliate at Khalifa University Centre of Autonomous Robotics Systems (KUCARS) and the University of Warwick, United Kingdom. He received his PhD degree in Computer Science and Engineering from the Kyungpook National University, Republic of Korea, and B.Sc. (Hons) degree in Computer Science from the University of Hertfordshire, United Kingdom. Previously, he worked as a research fellow at the University of Warwick, University Hospitals Coventry and Warwickshire, United Kingdom and Khalifa University of Science and Technology, UAE.

He leads the robot and computer vision group in KUCARS and has extensive experience working on computer vision, machine learning, artificial intelligence research projects. He has published many high-quality and high impact factor papers in leading computer vision journals and conferences (e.g., Transactions on Pattern Analysis and Machine Intelligence, Transactions on Image Processing, Transactions on Cybernetics, Medical Image Analysis). His current research interests span the field of computer vision and computational pathology. In computer vision, it includes visual tracking from video sequences, multi-object tracking, object detection, background-foreground modelling, background subtraction, and video object segmentation. In computational pathology, it includes histology image classification, tissue phenotyping, nucleus detection, and nucleus classification from routine Hematoxylin and Eosin Whole Slide Images. He is also a member of IEEE and ACM.

  • Combined Master’s and PhD degree in Computer Science and Engineering (specialization in Computer Vision), Kyungpook National University, Republic of Korea, 2017
  • BSc (Hons) Degree in Computer Science, University of Hertfordshire, United Kingdom, 2010
Teaching Areas
  • Deep Learning Systems Design
  • Computer Vision
  • Machine Learning
  • Artificial Intelligence
  • Operating Systems 
Research Interests
  • Generic Object Tracking
  • Artificial Intelligence for Oceans
  • Multi-object Tracking
  • Video Object Segmentation
  • Background-Foreground Modeling
  • Background Subtraction
  • AI for Cancer Diagnosis
  • Nucleus Detection and Segmentation
  • Nucleus Classification
  • Whole Slide Image Analysis