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Dr Mohammad Hossein Amirhosseini

Lecturer in Computer Science and Digital Technologies

School of Architecture, Computing and Engineering (ACE), Department of Engineering and Computing

    Dr Amirhosseini joined UEL as a lecturer in 2020. Prior to UEL, he was a Postdoctoral Research Fellow at London Metropolitan University, contributing to the SPIRIT (Scalable Privacy Preserving Intelligence Analysis for Resolving Identities) project European Horizon 2020 consisting of a consortium of 17 partners from 9 different European countries. He also had 5 years of University teaching experience as well as professional training experience in seminars and workshops. In addition, he had 7 years of work experience in industry.
    Dr Amirhosseini graduated with a BSc in Software Engineering, before achieving his MSc in Information Technology from Coventry University. He then completed his PhD in Computing and Artificial Intelligence at London Metropolitan University. His PhD research was on automating a psychological method for personality development, in order to improve organisational performance.



    Overview

    Dr Amirhosseini’s research interests and expertise include, but are not limited to, applications of AI and machine learning techniques in the following areas:

    • Psychology
    • Cognitive Processing
    • Personality Type Prediction
    • Personality Development
    • Human-Computer Interaction
    • Natural Language Processing
    • Entity Recognition
    • Organisational Performance
    • Cyber Security
    • Identity Resolution
    • Social Network Analysis
    • E-Learning


    Collaborators

    • test

    Research

    Paper publications in international refereed journals and conferences

    • Amirhosseini, M.H. and Kazemian, H. (2020) Machine Learning Approach to Personality Type Prediction Based on the Myers–Briggs Type Indicator®, Multimodal Technologies Interaction, Vol 4(1). DOI: 10.3390/mti4010009

    • Amirhosseini, M.H. and Kazemian, H. (2019) Automating the process of identifying the preferred representational system in Neuro Linguistic Programming using Natural Language Processing, Cognitive Processing Journal, Vol 20(2), pp. 175-193. DOI: 10.1007/s10339-019-00912-3

    • Amirhosseini, M.H., Kazemian, H., Ouazanne, K. and Chandler, C. (2018) 'Natural Language Processing approach to NLP Meta model automation', IEEE World Congress on Computational Intelligence, International Joint Conference on Neural Networks, Rio de Janeiro, Brazil. DOI: 10.1109/IJCNN.2018.8489609

    International journal and conference participation

    • Main organizer and chair of a special session on “Machine Learning Applications in Cyber Security” at the International Joint Conference on Neural Networks (IJCNN 2020), one of the main three conferences in the IEEE World Congress on Computational Intelligence (WCCI 2020), from 19-24 July 2020, Glasgow, Scotland.

    • Regularly reviewing papers for international refereed Journals such as Applied Sciences Journal, Cognitive Processing Journal, and Multimedia Technologies and Interaction Journal.

    Publications


    Funding




    Interests

    Portfolio


    Teaching