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, Cognitive Processing, Personal Development, Mental Health, Coaching, Personality Type Prediction, Depression and Anxiety Detection, Human-Computer Interaction, Natural Language Processing, Animals’ Behaviour and Personality, Organisational Performance, Cyber Security, Identity Resolution, Fraud Detection, Social Media 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 nine 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 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) More recently, he started a consultancy project with a startup company in Florida, USA. This project focuses on using Artificial Intelligence to predict behavioural characteristics of dogs and developing a dog personality assessment tool to facilitate their adoption.
Moreover, he has published in different peer reviewed journals and conferences. He 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 also 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.
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 also supervisory roles for three PhD and Professional Doctorate students.