Dr Mohammad H Amirhosseini

Dr Amirhosseini's research interests and expertise include, but are not limited to, applications of AI and Machine Learning in different areas such as Psychology, Healthcare, Cognitive Processing, Personal Development, Mental Health, Coaching, Neuro Linguistic Programming, Personality Type Prediction, Depression and Anxiety Detection, Human-Computer Interaction, Natural Language Processing, Animals’ Behaviour and Personality, Organisational Performance, Energy Recycling, Finance, Cyber Security, Identity Resolution, Fraud Detection, Social Media Analysis, Sentiment Analysis, Hate Speech Detection and Prevention, Racism and Sexism Detection and Prevention, Politics, and International Relations.

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).

After joining University of East London, he has established national and international collaborations with esteemed institutions such as University of Pennsylvania, Imperial College London, University of Lincoln, London Metropolitan University, and Adelphi University. These partnerships have yielded impactful publications in prestigious Q1 journals such as Nature Scientific Reports, and renowned conferences such as the IEEE World Congress on Computational Intelligence.

He has also been collaborating with different national and international industrial partners as an academic partner od senior consultant. Companies include Whyness Ltd. (UK), Nex Power Ltd. (UK), Solve Energy Service Ltd. (UK), Keptika Ltd. (UK), Accenture (UK), and Uptime Labs Ltd. (UK), Dogvatar Ltd. (US). His collaboration with these industrial partners led to submitting different Innovate UK grant applications, and high-quality publications in Q1 and Q2 Journals and renowned conferences, as well as developing commercial products.

In a collaboration with Whyness Ltd., Dr Amirhosseini was successful in being awarded a grant in the Innovative UK Smart Grants competition. The title of his project was "Automation of Neuro-Linguistic Programming methods using Artificial Intelligence to interpret unconscious thoughts and values for personal development". This project was built on the latest R&D in AI, neuroscience, and personal development, including three bespoke AI models which he has developed. (More details available in the 'Funding' section on this page) 

After this project, he started a collaborative project with Dogvatar Ltd. in Florida, USA, and University of Pennsylvania, where he served as a senior consultant. This project was focused on using Artificial Intelligence to predict behavioural characteristics of dogs and developing a dog personality assessment tool to facilitate their adoption and to improve the training success rate for working dogs. The outcomes of this project were published in a paper entitled ‘An artificial intelligence approach to predicting personality types in dogs, at the prestigious journal Nature Scientific Reports. This journal is a top-tier Q1 journal celebrated as the fifth most-cited journal globally, boasting over 738,000 citations and 134,873,093 downloads (2022 Journal Citation Reports® Science Edition, Clarivate Analytics, 2023). This paper received a significant international news coverage and Almetric score of 135 (by 23rd April 2024). This means that the paper is in the 98th percentile and it is in the top 5% of all research outputs ever tracked by Almetric (more than 25 million research outputs) (Source). 

This research is ongoing, with additional publications currently in development.

Furthermore, Dr Amirhosseini collaborated with Nex Power Ltd. and University of Lincoln to work on a project about using Artificial Intelligence to enhance the Lithium Battery Recycling process. In this collaboration, a framework was developed that facilitates the application of ML in LIB recycling. This framework serves as a valuable guide for researchers and practitioners looking to integrate ML into this field effectively. This framework was compared with other existing frameworks and the outcomes show that it can provide more advantages and can address most common limitations that the previous frameworks were facing with. By providing more details on the pre-processing, feature engineering, and evaluation phases, this framework can also enable the researchers with low technical skills to apply ML models in their analysis and product development. The outcomes of this collaboration were published in two Q1 and Q2 journals.

Additionally, Dr Amirhosseini collaborated with Keptika Ltd. (UK) to develop an AI powered system to enhance self-reflection practice in coaching. The developed system can assist coaches in note-taking and tracking a live session progress, helping maintain focus and achieve goals. This system, which can identify key coaching segments with 85% accuracy, was evaluated using a dataset of over 1000 English coaching sessions, making it a novel approach for active self-reflection and performance evaluation during live sessions.

Moreover, he has submitted different grant applications in collaboration with Uptime Labs Ltd. (UK) and Solve Energy Service Ltd. (UK). 

Please check the list of publications in the following sections on this page to know more about the outcomes of other industrial collaborations which have been published in renowned international journals and conferences. 
Dr Amirhosseini was the main organiser and chair of a special session on “Machine Learning Applications in Cyber Security” at the 2020 IEEE World Congress on Computational Intelligence, and the 2020 IEEE Symposium Series on Computational Intelligence. He organised a special session on "Machine Learning Applications in Psychology" for the 2022 IEEE World Congress on Computational Intelligence. Additionally, as a guest editor, he organised a special issue with the same title, for the Cognitive Computation and Systems Journal. He also organised two other special issues on "Applications of Recommender Systems in healthcare", and "Applications of Artificial Intelligence in Psychology" for the Electronics Journal.

Furthermore, he has been a reviewer for journals and conferences including ‘Applied Sciences’, ‘Cognitive Processing’, ‘Multimedia Technologies and Interaction’, ‘Mathematics’, ‘Digital Scholarship in the Humanities’, ‘Cognitive Computation and Systems’, ‘Informatics’, ‘Sensors’, ‘Modelling’, IEEE World Congress on Computational Intelligence (WCCI), IEEE International Joint Conference on Neural Networks (IJCNN), and IEEE Symposium Series on Computational Intelligence (SSCI). He was also a reviewer for Artificial Intelligence Health & Care Award Competition 3, run by the Accelerated Access Collaborative (AAC) in partnership with NHSX and the National Institute for Health Research (NIHR). 

Dr Amirhosseini has one PhD completion so far and is the lead supervisor for 4 PhD and Professional Doctorate students.