About YEKTECH Consulting Ltd
Who We Are
Company Registration Number: 15175527
YEKTECH CONSULTING LTD is incorporated under the companies act 2006 as a private company, that the company is limited by shares, and the situation of its registered office is in England and Wales.
Leaders in AI Advisory Services
Harnessing the Power of AI Technologies and Innovation
YEKTECH Consulting Ltd is a leading AI advisory company specializing in advanced technologies including Artificial Intelligence, Machine Learning, and Natural Language Processing. With a strong focus on innovation and delivering exceptional results, we help businesses and individuals leverage the power of AI technologies to drive growth, efficiency, and success.
With a strong academic and research background, we also organize and run scientific and educational seminars, workshops, and discussion panels to empower businesses and individuals who are interested in advancing their technical skills.
Our Founder and CEO
Dr Mohammad Hossein Amirhosseini
BSc, MSc, PhD, FHEA
Associate Professor in Computer Science and Digital Technologies
Email: mh.amirhosseini@yektech.co.uk
Dr Amirhosseini has extensive experience in Academia and industry. He completed his PhD in Computing at London Metropolitan University, where he subsequently served as a Research Fellow, contributing to the SPIRIT (Scalable Privacy Preserving Intelligence Analysis for Resolving Identities) project European Horizon 2020, which was granted a €5 million fund by the European Union, and had a consortium of 17 partners from 9 European countries.
In April 2020, he moved to the University of East London, starting as a lecturer, progressing to Senior Lecturer in 2023, and then promoted to an Associate Professor in 2024.
In his current roles, he has been the apprenticeship lead in the School of Architecture, Computing, and Engineering, and the Course leader of BSc and MSc Digital and Technology Solutions Apprenticeship courses. He has also been the Module leader for a variety of modules and has contributed to teaching different modules at different levels including Artificial Intelligence, Business Intelligence Analysis, Advanced Software Engineering, Information Systems Modelling and Design, Web Technologies, IT Project Management, and Cyber Security. Moreover, he has supervised a significant number of MSc and BSc dissertations, and has been the lead supervisor for different PhD and Professional Doctorate researchers, celebrating his first PhD completion in November 2023.
Dr Amirhosseini 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.
As a senior consultant, he has also been collaborating with different national and international industrial partners such as Whyness Ltd. (UK), Nex Power Ltd. (UK), Solve Energy Service Ltd. (UK), Keptika Ltd. (UK), Accenture (UK), Uptime Labs Ltd. (UK), and Dogvatar Ltd. (US). His collaboration with these industrial partners led to successful grant applications such as the Innovate UK Smart Grant (value: £118,618), and high-quality publications in Q1 and Q2 Journals and renowned conferences, as well as developing commercial products.
He has been helping different startups to publish conference and Journal papers about their research and development, and to make a scientifically approved portfolio for attracting investors and clients, as well as improving their marketing strategies.
His research has attracted international attention, leading to interviews with major media outlets such as CBS News, Fox TV and German Public Radio, and contributions to public knowledge through national and international newsletters, magazines, and online sources such as The Telegraph (UK), Science Magazine (UK), Mirage News (Australia), Study Finds (US), EurekAlert! (US), SciTechDaily (US), Police Magazine (US), BNN (China), Ladepeche (France), Liberated Digital (Spain), ADP Live (India), Med India (India), Power Info Today Magazine (India) and La Stampa (Italy).
He has also been invited by different Universities and events as a guest speaker to talk about different aspects of Artificial Intelligence and its applications. Examples include the 84th Annual meeting of Academy of Management (AOM 2024) in Chicago, the 2024 Big Data & AI World London Conference at ExCeL London, the 2024 Black Voices in Coaching Research Conference in London, the 2022 International IORMA Webinar, and the Global Leaders Program at Coventry University.
Dr Amirhosseini is the winner of the Staff Award for 'Innovative Teaching' in 2022, for 'Leadership through Change' in 2023, and for ‘Student Experience’ in 2024. Additionally, University of East London achieved the prestigious 2024 AAC National Apprenticeship High Commendation Award for ‘Digital Apprenticeship Provider of the Year’ because of the Digital and Technology Solutions Apprenticeship course led by Dr Amirhosseini.
Scientific Contributions
Publications in international refereed journals and conferences
- Amirhosseini, M.H., Yadav, V., James, A.S., Pettigrew, P., and Kian, P. (2024) 'An Artificial Intelligence Approach to Predicting Personality Types in Dogs', Nature Scientific Reports, 14, 2404. DOI: 10.1038/s41598-024-52920-9
- Valizadeh, A., Amirhosseini, M.H., (2024) ‘Machine Learning in Lithium-Ion Battery: Applications, Challenges, and Future Trends’, SN Computer Science, 5, 717. DOI: 10.1007/s42979-024-03046-2
- Valizadeh, A., Amirhosseini, M.H., Ghorbani, Y. (2024) ‘Predictive Precision in Battery Recycling: Unveiling Lithium Battery Recycling Potential through Machine Learning’, Computers and Chemical Engineering, 183, pp. 108623. DOI: 10.1016/j.compchemeng.2024.108623
- Amirhosseini, M.H., Kazemian, H., Phillips, M. (2024) 'A Graph-Based Method for Identity Resolution to Assist Police Force Investigative Processes', Journal of Cyber Security Technology, DOI: 10.1080/23742917.2024.2354555
- Amirhosseini, M.H., Alam, N., Kalabi, F., and Virdee, B. (2024) 'An AI Powered System to Detect Autism Spectrum Disorder in Toddlers', 5th International Conference on Data Analytics & Management (ICDAM-2024), London, UK.
- Amirhosseini, M.H., Adefemi, L.A., and Karami, A. (2024) 'Prediction of Depression Severity and Personalised Risk Factors Using Machine Learning on Multimodal Data', The 12th IEEE International Conference on Intelligent Systems, Golden Sands, Bulgaria.
- Mudianselage, I.D., Amirhosseini, M.H., Li, Y., and Arachchillage, D.J. (2024) 'Artificial Intelligence Driven Prediction of Multi Organ Failure in Patients with COVID-19', The 12th IEEE International Conference on Intelligent Systems, Golden Sands, Bulgaria.
- Khatri, A., Lota, J., Nepal, P., and Amirhosseini, M.H. (2024) Utilizing machine Learning Techniques to Predict State-of-Charge in Li-ion Batteries, The 12th IEEE International Conference on Intelligent Systems, Golden Sands, Bulgaria.
- Jelodari, M., Amirhosseini, M.H., and Giraldez-Hayes, A. (2023) 'An AI Powered System to Enhance Self-Reflection Practice in Coaching', IET Cognitive Computation and Systems, 1–12, DOI: 10.1049/ccs2.12087
- Bhatt, S., Ghazanfar, M.A., Amirhosseini, M.H. (2023) Sentiment-Driven Cryptocurrency Price Prediction: A Machine Learning Approach Utilizing Historical Data and Social Media Sentiment Analysis, Machine Learning and Applications: An International Journal (MLAIJ), Vol 10. DOI: 10.5121/mlaij.2023.10301
- Sontakke, P., Jafari, F., Saeedi, M., Amirhosseini, M.H. (2023) Forecasting Bitcoin Prices in the Context of the COVID-19 Pandemic Using Machine Learning Approaches, Proceedings of Data Analytics and Management (ICDAM 2023), Lecture Notes in Networks and Systems, vol 785, pp. 81-94. DOI: 10.1007/978-981-99-6544-1_7
- Bhatt, S., Ghazanfar, M.A., Amirhosseini, M.H. (2023) Machine Learning based Cryptocurrency Price Prediction using historical data and Social Media Sentiment, The 5th International Conference on Machine Learning & Applications, Sydney, Australia. Proceedings published at Computer Science & Information Technology, 13 (10), pp. 1-11, DOI: 10.5121/csit2023.131001
- Amirhosseini, M.H. and Wall, J. (2022) 'A Machine Learning Approach to Identify the Preferred Representational System of a Person', Multimodal Technologies and Interaction, 6(12), p. 112. DOI: 10.3390/mti6120112
- Kazemian, H., Amirhosseini, M.H., and Phillips, M. (2022) 'Application of Graph-Based Technique to Identity Resolution', 18th International Conference on Artificial Intelligence Applications and Innovations, Crete, Greece, Proceedings published at IFIP Advances in Information and Communication Technology, vol 646, pp. 471-482, Springer, DOI: 10.1007/978-3-031-08333-4_38.
- Phillips, M., Amirhosseini, M.H., and Kazemian, H. (2020) "A Rule and Graph-Based Approach for Targeted Identity Resolution on Policing Data," 2020 IEEE Symposium Series on Computational Intelligence (SSCI), Canberra, ACT, Australia, pp. 2077-2083, doi: 10.1109/SSCI47803.2020.9308182.
- 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
- Associate editor for Special Issue on “Machine Learning Applications in Psychology” at IET Cognitive Computation and Systems Journal.
- Technical Chair for the 5th International Conference on Data Analytics and Management (ICDAM 2024), 14-15 June 2024, London, United Kingdom.
- Technical Chair for the 4th International Conference on Data Analytics and Management (ICDAM 2023), 23-24 June 2023, London, United Kingdom.
- Lead Guest Editor for Special Issue on “Applications of Artificial Intelligence in Psychology” at Electronics Journal.
- Guest Editor for Special Issue on “Application of Recommended Systems in Healthcare” at Electronics Journal.
- Main organizer and chair of a special session on “Machine Learning Applications in Psychology” at the IEEE World Congress on Computational Intelligence, 18-23 July 2022, Padua, Italy.
- Main organizer and chair of a Symposium on “Machine Learning Applications in Cyber Security” at the IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2020), 1-4 December 2020, Canberra, Australia.
- Main organizer and chair of a special session on “Machine Learning Applications in Cyber Security” at the IEEE World Congress on Computational Intelligence (IEEE WCCI 2020), 19-24 July 2020, Glasgow, Scotland.
- Reviewer for international refereed Journals including 'Applied Sciences', 'Cognitive Processing', 'Multimedia Technologies and Interaction', 'Mathematics', 'Digital Scholarship in the Humanities', 'Cognitive Computation and Systems', 'Informatics', 'Sensors', and 'Modelling'.
- Reviewer for international refereed conferences including IEEE World Congress on Computational Intelligence (IEEE WCCI), IEEE International Joint Conference on Neural Networks (IJCNN), and IEEE Symposium Series on Computational Intelligence (IEEE SSCI).
- 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).
Guest Speaker and Panelist
- Guest speaker at the Big Data & AI World London Conference at ExCeL London. Title of presentation: 'Artificial Intelligence and Social Media - Opportunities and Threats.' (2024)
- Speaker at the 84th Annual Meeting of the Academy of Management (AOM 2024) in Chicago, IL, USA. Symposium 12834: Uncovering the Hidden Economic Value of Social capital. Title of presentation: ‘How AI can Improve Learning through Self-Reflection: The Example of AI-Supported Executive Coaching’. (2024)
- Panelist at the Black Voices in Coaching Research Conference in London. Title of the discussion panel: ‘Decolonizing Coaching: Integrating Indigenous and Ancestral Knowledge.’ (2024)
- Panelist at the Year of Science Event at University of East London. Title of panel discussion: ‘Can AI Revolutionize inclusivity in Recruitment?’ (2024)
- Panelist at the International IORMA Webinar. Title of panel discussion: ‘How AI is enhancing Personal Development.’ Available at: https://iorma.com/archives/11206. (2022)
- Guest speaker at Coventry University, Global Leaders Program. Title of presentation: ‘The future of AI and the impact of AI-based automation on jobs during the new industrial revolution.’ (2020)
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Whether you need assistance with business development, technology strategy, training your staff, implementation, or harnessing the potential of Artificial Intelligence and Machine Learning, our team at YEKTECH Consulting Ltd is here to help. Contact us today to discuss your requirements and explore how we can transform your business for the future.
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