Dr Mohammad Hossein Amirhosseini

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. 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. 

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.

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.

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

I am the year tutor for level 6 (BSc final year) students in the department of Computer Science and Digital Technologies.

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)

I also supervise a significant number of MSc and BSc final projects.