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Dr Taha Hussein Rassem is a Senior Lecturer in Computing at the School of Computer Science and Informatics, Â鶹ƵµÀ. He previously served as a Research Fellow at the Faculty of Science and Technology, Bournemouth University, UK, from October 2021 to April 2023, and continues his association with Bournemouth University as a Visiting Fellow until May 2026. Prior to this, Dr. Rassem was a Senior Lecturer at the Faculty of Computing, University Malaysia Pahang (UMP) from August 2014 to September 2021 and held the position of Assistant Lecturer at the University of Hodeidah, Yemen, from 2001 to 2005.

He earned his Ph.D. in Computer Engineering (Imaging) from Universiti Sains Malaysia, Penang, in 2014, a Master of Technology (M.Tech) in Computer Science from the University of Hyderabad, India, in 2007, and a Bachelor of Science (B.Sc.) in Computer Engineering from the University of Technology, Baghdad, Iraq, in 2001.

Dr. Rassem's research focuses on Image Processing, Object Class Recognition, AI, Machine Learning, Deep learning, Texture Classification, and Digital Watermarking. His teaching expertise spans Programming, Image Processing, Multimedia, Virtual and Augmented Reality, Graphical User Interfaces, Human-Computer Interaction, Web Programming, and Android Mobile Application Development

• Institute of Artificial Intelligence (IAI)
• Centre for Computing and Social Responsibility (CCSR)

A full and updated list of publications can be found in the Google Scholar link below.

• Image Processing
• Object Class Recognition
• AI
• Machine Learning
• Deep learning
• Texture Classification
• Digital Watermarking

• Programming
• Image Processing
• Multimedia
• Virtual and Augmented Reality
• Graphical User Interfaces
• Human-Computer Interaction
• Web Programming
• Android Mobile Application Development

• Ph.D. in Computer Engineering (Imaging)
• MTech in Computer Science
• B.Sc. in Computer Engineering

• Mobile App Development
• Object-oriented OO Design and Development
• Web Application Development
• Front-End Web Development

• Outstanding Grant Award 2020 (TOP 10), Faculty of Computing, UMP, Research and Postgraduate Award ceremony 2020, 5th April 2020.
• Publication Award 2020 (TOP 10), Faculty of Computing, UMP, Research and Postgraduate Award ceremony 2020, 5th April 2020.
• Excellent Service Award 2017, Universiti Malaysia Pahang (UMP),2017
• 1st Ph.D. student Publication Award for 2020 (role: Supervisor), Faculty of Computing, UMP, Research and Postgraduate Award ceremony 2020, 5th April 2020.
• 3rd Ph.D. student Publication Award for 2020 (role: Supervisor), Faculty of Computing, UMP, Research and Postgraduate Award ceremony 2020, 5th April 2020.
• Top 10 Best supervisors For Final year project, Faculty of Computing, UMP, Semester 1, 2018-2019.
• ANUGERAH CENDEKIA BITARA 2018 (Hadiyah), Universiti Malaysia Pahang, Publication Category, 2018.
• ANUGERAH CENDEKIA BITARA 2017 Award (Journal Publication Category), Paper entitled (A new reliable optimized image watermarking scheme based on the integer wavelet transform and singular value decomposition for copyright protection), Information sciences Journal, Universiti Malaysia Pahang, January 2018.
• ANUGERAH CENDEKIA BITARA 2016 Award (Journal Publication Category), Paper entitled) A new block-based DWT-SVD image watermarking scheme using HVS characteristics ) , IET image processing, April 2017.
• SANGGAR SANJUNG AWARD (HALL OF FAME AWARD), 2017, UNIVERSITI SAINS MALAYSIA.
• ANUGERAH CENDEKIA BITARA 2014 (Journal Publication Category), Paper entitled “Performance evaluation of new Colour histogram-based interest point detectors”, Multimedia Tools and Applications, April 2015.
  o 2011-2013 Graduate Assistant Scholarship for Postgraduate Students, Universiti Sains Malaysia.

• Institute of Electrical and Electronics Engineers (IEEE) Senior member
• International Association of Engineers Senior Member
• Institution of Engineering and Technology (IET) Professional Member
• British Computer Society (BCS) Professional Member
• Malaysian Board of Technology (MBOT) Professional Technologist until 2023

• Early detection and diagnosis of Alzheimer’s diseases using hybrid deep and machine learning.
• A new Formulation of deep learning models for fast and accurate early-stage Alzheimer’s detection system.
• Modern Fuzzy Min-Max Neural Network for Pattern Classification.
• Designing a New Discriminative Texture Image Descriptor for Texture, Scene and Medical Image Classification.
• New Secure Hybrid SVD-Based Image Watermarking Scheme for Copyright Protection.

• International Grant from University of Hail, Saudi Arabia (Early detection and diagnosis of Alzheimer’s diseases using hybrid deep and machine learning), International Leader, Duration (28/02/2021 till 27/02/2023), Rail Saudi 94400 (Completed).
• Ministry of Education Grant, (A new Formulation of deep learning models for fast and accurate early-stage Alzheimer’s detection system), Duration (01/01/2019 till 30/09/2021), RM 61,500 (Completed).