Dr Mohammad Hossein Amirhosseini

Dr Mohammad Amirhosseini

Lecturer

Intelligent Systems Research Group

Department of Engineering & Computing , School of Architecture, Computing and Engineering

Dr Amirhosseini joined UEL as a lecturer in 2020. Prior to UEL, he was a Postdoctoral Research Fellow at London Metropolitan University. He has published in different journals and conferences such as IEEE and Springer, as well as contributing to renowned international conferences as a special session main organiser and chair. 

Areas Of Interest

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
  • Organisational Performance
  • Cyber Security
  • Identity Resolution
  • Fraud Detection
  • Phishing Attacks
  • Social Engineering
  • Social Network Analysis
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On This Page

OVERVIEW

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 has 6 years of university teaching experience as well as professional training experience in seminars and workshops. In addition, he has 7 years of work experience in industry. He has published in different journals and conferences such as IEEE and Springer, as well as contributing to renowned international conferences as a special session main organiser and chair. He has also been successful in the Innovative UK Smart Grants, January 2021 competition and has received a valuable funding for his collaborative industrial project.

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.

FUNDING

Dr Amirhosseini has been successful in the Innovative UK Smart Grants, January 2021 competition. The amount of fund which has been granted to his innovative industrial project is £100,000 pound.

The title of his project is "Automation of Neuro-Linguistic Programming methods using Artificial Intelligence to interpret unconscious thoughts and values for personal development." This project is a collaboration between University of East London and Whyness company, and Dr Amirhosseini will be working with them as their academic partner and chief consultant.

This project is motivated by the opportunity for emerging technology to unlock new levels of workplace fulfilment and human potential, expanding specialist services hitherto limited to (and by) physical human interactions.

The pioneering AI-driven platform developed in this project will disrupt the way personal development is provided to individuals, unlocking benefits of proven neuroscientific practices to a wider audience. Employers will be able to provide reliable, affordable, personalized behavioural development tools to employees at different stages of their careers.

The innovation in this project involves developing and integrating multiple AI models to intelligently identify personal values and purpose. The project aims to digitise Neuro-Linguistic-Programming (NLP) methods to help users become more self-aware by interpreting unconscious thoughts and behaviours.

This project builds on the latest R&D in AI, neuroscience, and personal development, including two bespoke AI models developed by Dr Amirhosseini, that automate some core NLP methods.

The collaborative project team has a unique blend of diverse expertise across academia, industry, business and technology. By digitising proven neuroscientific practices and behavioural development tools that harness personal motivations and self-awareness, we will elevate human consciousness, performance and potential.

CURRENT RESEARCH

Dr Amirhosseini's research interests and expertise include, but are not limited to, applications of AI and machine learning techniques in different areas such as Psychology, Cognitive Processing, Personality Type Prediction, Personality Development, Human-Computer Interaction, Natural Language Processing, Organisational Performance, Cyber Security, Identity Resolution, Fraud Detection, Phishing Attacks, Social Engineering, and Social Network Analysis.

The title of Dr Amirhosseini's PhD thesis was "Neuro Linguistic Programming Automation for Improvement of Organisational Performance." Neuro Linguistic Programming (NLP) is a methodology used for recognition of human behavioural patterns and the modification of the behaviour. Natural Language Processing and machine learning techniques were used for the automation process and an intelligent software was developed. The novel methodology used for this automation was able to eliminate human errors, thereby the software was able to perform with a higher level accuracy, reliability and efficiency.

Dr Amirhosseini contributed to the SPIRIT project as a postdoctoral research fellow, following his PhD. This project was a five million Euro EU Horizon 2020 project consisting of a consortium of 17 partners from 9 different European countries including Germany, Italy, Sweden, Spain, Greece, Belgium, Poland, Serbia, and the United Kingdom. The aim of this project was to help law enforcement agencies identify cybercriminals by developing sophisticated artificial intelligence-based (AI) tools that analyse millions of pieces of data from a wide range of sources. The SPIRIT technical team used a novel approach in the development, testing, training and evaluation of a new scalable privacy preserving intelligence analysis for resolving identities system prototype, and Dr Amirhosseini was one of the main researchers on the team who contributed to developing research methodologies for identity resolution on policing datasets and extracted data from web crawlers and social media, as well as application of Natural Language Programming (NLP).

Some of the end users in this project included West Midlands Regional Police (UK), Thames Valley Police (UK), Hellenic Police (Greece), Police Academy in Szczytno (Poland), Ministry of Interior (Serbia).

Dr Amirhosseini has published in different journals and conferences such as IEEE and Springer. He has been a main organiser and chair for different special sessions and symposiums in renowned international conferences such as IEEE World Congress on Computational Intelligence, IEEE International Joint Conference on Neural Networks, and IEEE Symposium Series on Computational Intelligence.

PUBLICATIONS

Paper publications in international refereed journals and conferences

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  • Phillips, M., Amirhosseini, M.H., and Kazemian, H. (2020) 'A Rule and Graph-Based Approach for Targeted Identity Resolution on Policing Data', IEEE Symposium Series on Computational Intelligence, IEEE Symposium on Computational Intelligence in Data Mining, Canberra, Australia.
  • 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
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International journal and conference participation

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  • Main organiser 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.
  • Main organiser and chair of a symposium on "Machine Learning Applications in Cyber Security" at the IEEE Symposium Series on Computational Intelligence (SSCI 2020), from 1-4 December 2020, Canberra, Australia. 
  • Regularly reviewing papers for international refereed Journals such as Applied Sciences Journal, Cognitive Processing Journal, and Multimedia Technologies and Interaction Journal, IEEE World Congress on Computational Intelligence, IEEE International Joint Conference on Neural Networks, and IEEE Symposium Series on Computational Intelligence. 
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TEACHING

Dr Amirhosseini is the Academic Advisor for level 6 (BSc final year) students in the department of Computer Science and Digital Technologies.

He is also contributing to the UEL overseas collaboration and partnership portfolio as a link tutor for UEL international partners.

Academic year 2021/2022

2021/22 Teaching (Fall semester):

  • Module Leader of Cyber Security (Level 5 - Second year of BSc course)
  • Artificial Intelligence (Level 6 - Third year of BSc course)
  • Advanced Software Engineering (Level 7 - MSc course)

 

Academic year 2020/2021

2020/21 Teaching (Fall semester):

  • Artificial Intelligence (Level 6 - Third year of BSc course)
  • Cyber Security (Level 5  -  Second year of BSc course)
  • Advanced Software Engineering (Level 7 - MSc course)
  • Information Systems Modelling & Design (Level 4 - First year of BSc course)
  • IT Project Management (Level 6 - Third year of BSc course
  • Project Management  (Level 6 - Third year of BSc course)

2020/21 Teaching (Spring semester):

  • Artificial Intelligence and Machine Vision (Level 7 - MSc course)
  • Business Intelligence Analysis (Level 6 -  Third year of BSc course)
  • Web Technologies (Level 4 - First year of BSc course)
  • IT Project Management (Level 6 - Third year of BSc course)
  • Mental Wealth; Professional Life 2 (Computing Practice)  (Level 5 - Second year of BSc course)

2020/21 Teaching (Summer semester):

  • Module Leader of Cyber Security Module (Level 5 - Second year of BSc course)

 

Dr Amirhosseini also supervises a significant number of MSc and BSc final projects.