Photo of Hosam Al-Samarraie

Hosam Al-Samarraie


    Accepting PhD Students

    Willing to speak to media

    • Source: Scopus
    • Calculated based on no. of publications stored in Pure and citations from Scopus

    Research output per year

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    Personal profile


    My research is interdisciplinary in nature in that it pivots on the integration of various aspects of Human-Computer Interaction, Technology Utilization, and Behavioral Modeling – with emphasis on visualization, managing, clustering, and prediction of individual behaviors/factors in different situations. I am also interested in UX/UI and how central they are to one's perception, satisfaction, and interaction. My recent projects have focused primarily on the use of machine learning and multi-criteria decision-making methods to analyse, model, and predict key aspects related to users’ design preferences, visual interaction, and technology utilization.

           I have experience in using biofeedback technology, such as eye-tracking and EEG, in various disciplines. For example, I use EEG to understand individuals' learning behaviors, interaction, cognitions, and emotions. I also use eye-tracking technology (through pupil dilation and pupil variation during saccades and fixations) to measure individuals' attention, cognitive, and interaction when processing visual information or interface design elements in natural settings.

           I am currently investigating various cultural and social aspects of technology utilization and their relation to user, interaction, and certain behavioral changes. My work addresses social, technological, and environmental issues in computer‐mediated environments, with a focus on higher education, healthcare, and services. 

           I also have a great passion and experience in conducting systematic reviews and meta-analysis, and scoping reviews within technology-supported environments.

           I have been involved (PI and coresearcher) in several research projects related to the development of UI and online learning systems, and I am now interested in using sentiment analysis and machine learning to explore new avenues that impact people's health, emotions, and behaviors.

           I have experience in supervising Master and PhD students. I am/have been involved in teaching and running workshops for Master and undergraduate modules. This includes modules such as Visualization and Animation, HCI, Professional Experience, Transmedia Practice, and Research and Development in Digital Media.

    Education/Academic qualification

    Doctorate, Universiti Sains Malaysia

    Award Date: 21 Apr 2012

    IT, MSc, Universiti Utara Malaysia

    Award Date: 25 Jul 2008


    • Z665 Library Science. Information Science
    • QA76 Computer software
    • L Education (General)
    • RA0421 Public health. Hygiene. Preventive Medicine


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