Dr Mohammad Amirhosseini
| Name | Dr Mohammad Amirhosseini |
|---|---|
| ORCID | https://orcid.org/0000-0002-3404-084X |
| Job title | Associate Professor |
| Email address | m.h.amirhosseini@uel.ac.uk |
| Research institute | Architecture, Computing & Engineering |
Research outputs
Comparison of seven Artificial Intelligence models in Predicting Venous Thromboembolism in COVID-19 Patients
Rajakaruna, I., Amirhosseini, M., Makris, M., Laffan, M., Li, Y. and Arachchillage, D. J. 2025. Comparison of seven Artificial Intelligence models in Predicting Venous Thromboembolism in COVID-19 Patients. Research and Practice in Thrombosis and Haemostasis. (Art. 102711), p. In press. https://doi.org/10.1016/j.rpth.2025.102711Breaking Down SEO Complexity: Bridging PCA and Bayesian-Optimized t-SNE
Karami, A., Ghasemabadi, S. F. and Amirhosseini, M. 2024. Breaking Down SEO Complexity: Bridging PCA and Bayesian-Optimized t-SNE. 2024 IEEE International Conference on Big Knowledge (ICBK). IEEE. https://doi.org/10.1109/ICKG63256.2024.00028Utilizing machine Learning Techniques to Predict State-of-Charge in Li-ion Batteries
Khatri, A., Lota, J., Nepal, P. and Amirhosseini, M. H. 2024. Utilizing machine Learning Techniques to Predict State-of-Charge in Li-ion Batteries. IS'24: 12th IEEE International Conference on Intelligent Systems. Varna, Bulgaria 29 - 31 Aug 2024 IEEE. https://doi.org/10.1109/IS61756.2024.10705192AI-Enhanced Prediction of Multi Organ Failure in COVID-19 Patients
Rajakaruna, I., Amirhosseini, M. H., Li, Y. and Arachcillage, D. J. 2024. AI-Enhanced Prediction of Multi Organ Failure in COVID-19 Patients. IS'24: 12th IEEE International Conference on Intelligent Systems. Varna, Bulgaria 29 - 31 Aug 2024 IEEE. https://doi.org/10.1109/IS61756.2024.10705181Prediction of Depression Severity and Personalised Risk Factors Using Machine Learning on Multimodal Data
Amirhosseini, M. H., Ayodele, A. L. and Karami, A. 2024. Prediction of Depression Severity and Personalised Risk Factors Using Machine Learning on Multimodal Data. IS'24: 12th IEEE International Conference on Intelligent Systems. Varna, Bulgaria 29 - 31 Aug 2024 IEEE. https://doi.org/10.1109/IS61756.2024.10705185An AI Powered System to Detect Autism Spectrum Disorder in Toddlers
Amirhosseini, M. H., Alam, N., Kalabi, F. and Virdee, B. 2024. An AI Powered System to Detect Autism Spectrum Disorder in Toddlers. ICDAM-2024: 5th International Conference on Data Analytics and Management. London, UK 14 - 15 Jun 2024Machine Learning in Lithium-Ion Battery: Applications, Challenges, and Future Trends
Valizadeh, A. and Amirhosseini, M. 2024. Machine Learning in Lithium-Ion Battery: Applications, Challenges, and Future Trends. SN Computer Science. 5 (Art. 717). https://doi.org/10.1007/s42979-024-03046-2A Graph-Based Method for Identity Resolution to Assist Police Force Investigative Process
Amirhosseini, M., Kazemian, H. and Phillips, M. 2024. A Graph-Based Method for Identity Resolution to Assist Police Force Investigative Process. Journal of Cyber Security and Technology. In Press. https://doi.org/10.1080/23742917.2024.2354555Predictive precision in battery recycling: unveiling lithium battery recycling potential through machine learning
Valizadeh, A., Amirhosseini, M. H. and Ghorbani, Y. 2024. Predictive precision in battery recycling: unveiling lithium battery recycling potential through machine learning. Computers and Chemical Engineering. 183 (Art. 108623). https://doi.org/10.1016/j.compchemeng.2024.108623An artificial intelligence approach to predicting personality types in dogs
Amirhosseini, M. H., Yadav, V., Serpell, J. A., Pettigrew, P. and Kain, P. 2024. An artificial intelligence approach to predicting personality types in dogs. Scientific Reports. 14 (Art. 2404). https://doi.org/10.1038/s41598-024-52920-9Forecasting Bitcoin Prices in the Context of the COVID-19 Pandemic Using Machine Learning Approaches
Sontakke, P., Jafari, F., Saeedi, M. and Amirhosseini, M. 2024. Forecasting Bitcoin Prices in the Context of the COVID-19 Pandemic Using Machine Learning Approaches. ICDAM-2023: 4th International Conference on Data Analytics & Management. London, UK 23 - 24 Jun 2023 Springer. https://doi.org/10.1007/978-981-99-6544-1_7An AI powered system to enhance self-reflection practice in coaching
Jelodari, M., Amirhosseini, M. H. and Giraldez Hayes, A. 2023. An AI powered system to enhance self-reflection practice in coaching. Cognitive Computation and Systems. 5 (4), pp. 243-254. https://doi.org/10.1049/ccs2.12087Sentiment-Driven Cryptocurrency Price Prediction: A Machine Learning Approach Utilizing Historical Data and Social Media Sentiment Analysis
Bhatt, S., Ghazanfar, M. and Amirhosseini, M. 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). 10 (2/3), pp. 1-15. https://doi.org/10.5121/mlaij.2023.10301Machine Learning based Cryptocurrency Price Prediction using historical data and Social Media Sentiment
Bhatt, S., Ghazanfar, M. and Amirhosseini, M. 2023. Machine Learning based Cryptocurrency Price Prediction using historical data and Social Media Sentiment . 5th International Conference on Machine Learning & Applications (CMLA 2023). Sydney, Australia 17 - 18 Jun 2023 AIRCC Publishing Corporation.A Machine Learning Approach to Identify the Preferred Representational System of a Person
Amirhosseini, M. 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. https://doi.org/10.3390/mti6120112Application of Graph-Based Technique to Identity Resolution
Kazemian, H., Amirhosseini, M. H. and Phillips, M. 2022. Application of Graph-Based Technique to Identity Resolution. AIAI 2022: 18th International Conference on Artificial Intelligence Applications and Innovations. Crete, Greece 17 - 20 Jun 2022 Springer. https://doi.org/10.1007/978-3-031-08333-4_38A Rule and Graph-Based Approach for Targeted Identity Resolution on Policing Data
Phillips, M., Amirhosseini, M. and Kazemian, H. 2020. A Rule and Graph-Based Approach for Targeted Identity Resolution on Policing Data. 2020 IEEE Symposium Series on Computational Intelligence. Online 01 - 04 Dec 2020 IEEE. https://doi.org/10.1109/SSCI47803.2020.9308182Machine Learning Approach to Personality Type Prediction Based on the Myers–Briggs Type Indicator®
Amirhosseini, M.H. and Kazemian, H. 2020. Machine Learning Approach to Personality Type Prediction Based on the Myers–Briggs Type Indicator®. Multimodal Technologies and Interaction. 4 (Art. 9). https://doi.org/10.3390/mti4010009Automating the process of identifying the preferred representational system in Neuro Linguistic Programming using Natural Language Processing
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. 20 (2), p. 175–193. https://doi.org/10.1007/s10339-019-00912-3Natural Language Processing approach to NLP Meta model automation
Amirhosseini, M.H., Kazemian, H., Ouazzane, K. and Chandler, C. 2018. Natural Language Processing approach to NLP Meta model automation. 2018 International Joint Conference on Neural Networks (IJCNN). Rio de Janeiro, Brazil 08 - 13 Jul 2018 IEEE. https://doi.org/10.1109/IJCNN.2018.84896096161
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