Dr Harith Al-Sahaf

Lecturer in Cybersecurity
School of Engineering and Computer Science
Victoria University of Wellington

Email: Harith.Al-Sahaf@ecs.vuw.ac.nz
Phone: +64 4 463 5656
Fax: +64 4 463 5045
Address: Room CO129, Cotton Building, Kelburn Campus
School of Engineering and Computer Science,
Victoria University of Wellington,
PO Box 600, Wellington 6140, New Zealand

Research Interests

My main research lies in utilising evolutionary computation techniques, particularly genetic programming, to effectively and efficiently tackle challenging problems in computer vision and pattern recognition, such as feature detection, feature extraction, feature construction, image classification, object recognition; and applying transfer learning, domain adaptation, and one-shot learning, techniques for image analysis.

  • Feature Manipulation
  • Pattern Recognition
  • Computer Vision
  • Evolutionary Algorithms
  • Artificial Neural Networks
  • Data Mining and Machine Learning

Biography

Harith Al-Sahaf received the B.Sc. degree in computer science from Baghdad University (Iraq), in 2005. He joined the Victoria University of Wellington (VUW), (New Zealand) in July 2007 where he received his MCompSc and PhD degrees in Computer Science in 2010 and 2017, respectively. In October 2016, he has joined the School of Engineering and Computer Science, VUW as a Post-doctoral Research Fellow and as a full-time lecturer since September 2018. His current research interests include evolutionary computation, particularly genetic programming, computer vision, pattern recognition, evolutionary cybersecurity, machine learning, feature manipulation including feature detection, selection, extraction and construction, transfer learning, domain adaptation, one-shot learning, and image understanding. He is a member of the IEEE CIS ETTC Task Force on Evolutionary Computer Vision and Image Processing, the IEEE CIS ETTC Task Force on Evolutionary Computation for Feature Selection and Construction, the IEEE CIS ISATC Task Force on Evolutionary Deep Learning and Applications, and the IEEE CIC ISATC Task Force on Intelligent Systems for Cybersecurity of IoT.

Last updated on Jun 5, 2021