Architecture, Computing & Engineering
| Title | Architecture, Computing & Engineering |
|---|---|
| ACE | |
| Type | School |
| University | UEL |
| Dean | Dr Seyed Ghorashi |
| Research Administrator | Mrs Nazmin Uddin |
| Research Degrees Leader | Dr Andrew Arewa |
| Dr Ameer Al-Nemrat | |
| Examination Officer | Mrs Nazmin Uddin |
Latest research outputs
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Regenerating the Body: The Biocultures of Modern Sport and the Fitness Imperative in France’s Radical Republic
Brauer, F. 2026. Regenerating the Body: The Biocultures of Modern Sport and the Fitness Imperative in France’s Radical Republic . Brill Academic Publishers.Book
Inaugural editorial for Discover Concrete and Cement
Barbhuiya, S., Das, B. B., Adak, D., Kapoor, K. and Tabish, M. 2025. Inaugural editorial for Discover Concrete and Cement. Discover Concrete and Cement. 1 (Art. 1). https://doi.org/10.1007/s44416-025-00004-wArticle
An Effective Temporal Convolutional Networks-Based Method for Detecting Android Malware Using Dynamic Extracted Features
Joomye, A., Ling, M. H., Jasser, M. B., Ramly, A. and Yau, K-L. A. 2025. An Effective Temporal Convolutional Networks-Based Method for Detecting Android Malware Using Dynamic Extracted Features. IEEE Access. 13, pp. 49891-49904. https://doi.org/10.1109/ACCESS.2025.3552070Article
Insights into cementitious materials: exploring atomic structures and interactions
Barbhuiya, S., Das, B. B. and Adak, D. 2025. Insights into cementitious materials: exploring atomic structures and interactions. Discover Concrete and Cement. 1 (Art. 6). https://doi.org/10.1007/s44416-025-00006-8Article
A Security Operations and Analytics Framework: Continuous Detection and Response
Ayittey, G. 2025. A Security Operations and Analytics Framework: Continuous Detection and Response. Prof Doc Thesis University of East London School of Architecture, Computing and EngineeringProf Doc Thesis
Information Security Risk and Maturity Analysis Utilising Directed Graphs
Swann, K. 2025. Information Security Risk and Maturity Analysis Utilising Directed Graphs. Prof Doc Thesis University of East London School of Architecture, Computing & EngineeringProf Doc Thesis
Data-driven approaches in concrete science: applications, challenges and future prospects
Barbhuiya, S., Das, B. B. and Adak, D. 2025. Data-driven approaches in concrete science: applications, challenges and future prospects. Construction Materials. p. In press. https://doi.org/10.1680/jcoma.24.00018Article
Flood inundation hazard mapping and vulnerability analysis in the downstream area of the Cipunagara River Basin of Indonesia using Google Earth Engine
Achiari, H., Gurusu., Jayaratne, R. and Purba, R. J. 2025. Flood inundation hazard mapping and vulnerability analysis in the downstream area of the Cipunagara River Basin of Indonesia using Google Earth Engine. IOP Conference Series: Earth and Environmental Science. 1464 (Art. 012016). https://doi.org/10.1088/1755-1315/1464/1/012016Article
Assessing Driver Cognitive Load from Handsfree Mobile Phone Use: Innovative Analysis Approach Based on Heart Rate, Blood Pressure and Machine Learning
Sharif, S., Ossai, B., Chettuthara Moncy, J., Alblehai, F. and Fu, C. 2025. Assessing Driver Cognitive Load from Handsfree Mobile Phone Use: Innovative Analysis Approach Based on Heart Rate, Blood Pressure and Machine Learning. International Journal of Human–Computer Interaction. p. In press. https://doi.org/10.1080/10447318.2025.2492804Article
Hybrid Deep Learning Healthcare AI Framework for Real-Time Human Pose Estimation and Remote Patient Monitoring to Support TKR Physiotherapy
AbouGrad, H., Yegamati, M. and Mather, M. 2025. Hybrid Deep Learning Healthcare AI Framework for Real-Time Human Pose Estimation and Remote Patient Monitoring to Support TKR Physiotherapy. 14th International Conference on Human Interaction & Emerging Technologies: Future Systems and Artificial Intelligence Applications. University of East London, London, United Kingdom 10 - 12 Jun 2025 AHFE Open Access.Conference paper
From printing to performance: a review on 3D concrete printing processes, materials, and life cycle assessment
Mishra, S. K., Sneha, K., Das, B. B., Rajasekaran, C. and Barbhuiya, S. 2025. From printing to performance: a review on 3D concrete printing processes, materials, and life cycle assessment. Journal of Building Pathology and Rehabilitation. 10 (Art. 117). https://doi.org/10.1007/s41024-025-00626-4Article
Integrated Sentiment and Emotion Analysis of the Ukraine-Russia Conflict Using Machine Learning and Transformer Models
Amirhosseini, M., Berardinelli, N., Gaikwad, K., Iwuchukwu, C. E. and Ahmed, M. 2025. Integrated Sentiment and Emotion Analysis of the Ukraine-Russia Conflict Using Machine Learning and Transformer Models. International Conference on Data Science, Technology and Applications. Bilbao - Spain 10 - 12 Jun 2025 SciTePress.Conference paper
WASPO: Workload-Aware Spark Performance Optimization Using NSGA-II
Karami, A. and Amirhosseini, M. 2025. WASPO: Workload-Aware Spark Performance Optimization Using NSGA-II. Cognitive Models and Artificial Intelligence Conference. Prague-Czech Republic 13 - 14 Jun 2025 IEEE.Conference paper
Advancing Personality Type Prediction: Utilizing Enhanced Machine and Deep Learning Models with the Myers-Briggs Type Indicator
Amirhosseini, M., Karami, A. and Kalabi, F. 2025. Advancing Personality Type Prediction: Utilizing Enhanced Machine and Deep Learning Models with the Myers-Briggs Type Indicator. Cognitive Models and Artificial Intelligence Conference. Prague-Czech Republic 13 - 14 Jun 2025 IEEE.Conference paper
Harnessing Social Media Sentiment for Predictive Insights into the Nigerian Presidential Election
Alao, J. O., Amirhosseini, M., Karami, A. and Ghorashi, S. A. 2025. Harnessing Social Media Sentiment for Predictive Insights into the Nigerian Presidential Election. Cognitive Models and Artificial Intelligence Conference. Prague-Czech Republic 13 - 14 Jun 2025 IEEE.Conference paper
AI-Driven Mortality Prediction in COVID-19 Patients Using Advanced Feature Selection
Rajakaruna, I., Amirhosseini, M., Li, Y., Karami, A. and Arachchillage, D. J. 2025. AI-Driven Mortality Prediction in COVID-19 Patients Using Advanced Feature Selection. Cognitive Models and Artificial Intelligence Conference. Prague-Czech Republic 13 - 14 Jun 2025 IEEE.Conference paper
Prediction of assistance dog training outcomes using machine learning and deep learning models
Amirhosseini, M., Serpell, J. A., Bray, E. E., Block, T. A., Douglas, L. E. L. C., Kennedy, B. S., Evans, K. M., Freeberg, K. and Pettigrew, P. 2025. Prediction of assistance dog training outcomes using machine learning and deep learning models. Applied Animal Behaviour Science. 287 (Art. 106632). https://doi.org/10.1016/j.applanim.2025.106632Article
Smart Education Recommendation Framework with Dashboard in the Smart City: Smart Education Context
Ok'Onkwo, C. 2025. Smart Education Recommendation Framework with Dashboard in the Smart City: Smart Education Context. PhD Thesis University of East London Architecture, Computing and Engineering https://doi.org/10.15123/uel.8z69vPhD Thesis
A Wearable Pad for Detecting and Monitoring Heel Pressure Ulcer: Preliminary Study
Morad, S., Biju, A. M. and Morad, A. H. 2025. A Wearable Pad for Detecting and Monitoring Heel Pressure Ulcer: Preliminary Study . International Journal of Engineering and Technology. 17 (2), pp. 95-102. https://doi.org/10.7763/IJET.2025.V17.1308Article
Transforming the NHS through AI-driven solutions: a new era of digital health
Imam, M. A, Elgebaly, A., Zumla, Ad., Kolvekar, S., Ahmed, R. and Zumla, Al. 2025. Transforming the NHS through AI-driven solutions: a new era of digital health. Postgraduate Medical Journal (PMJ). (Art. qgaf023). https://doi.org/10.1093/postmj/qgaf023Article
Enhancing Solar Farm Operations: Machine Learning for Equipment Fault Detection and Classification
Hamza, A., Ali, Z., Dudley, S., Saleem, K. and Christofides, N. 2025. Enhancing Solar Farm Operations: Machine Learning for Equipment Fault Detection and Classification. 2024 IEEE Energy Conversion Congress and Exposition (ECCE). IEEE. https://doi.org/10.1109/ECCE55643.2024.10861872Conference paper
Optimizing PV Array Performance: A2 LSTM for Anomaly Detection and Predictive Maintenance based on Machine Learning
Hamza, A., Ali, Z., Dudley, S. and Saleem, K. 2025. Optimizing PV Array Performance: A2 LSTM for Anomaly Detection and Predictive Maintenance based on Machine Learning. 2024 IEEE Energy Conversion Congress and Exposition (ECCE). IEEE. https://doi.org/10.1109/ECCE55643.2024.10861733Conference paper
Automatic Translation Between Kreol Morisien and English Using the Marian Machine Translation Framework
Boodeea, Z. B. J., Pudaruth, S., Chooramun, N. and Sukhoo, A. 2025. Automatic Translation Between Kreol Morisien and English Using the Marian Machine Translation Framework. Informatics. 12 (1), p. Art. 16. https://doi.org/10.3390/informatics12010016Article
Hempcrete: Building a Sustainable Future in Construction
Barbhuiya, S. and Das, B. B. 2025. Hempcrete: Building a Sustainable Future in Construction. in: Daniels, J. A. (ed.) Advances in Environmental Research. Volume 105 Nova Science Publishers. pp. 77-110Book chapter
Surgical management of lateral epicondylitis: a scoping review of published literature
Muir, D., Blakeway, H., Morris, R., Narvani, A. A., Elgebaly, A. and Imam, M. 2025. Surgical management of lateral epicondylitis: a scoping review of published literature. JSES Reviews, Reports and Techniques. 5 (1), pp. 79-85. https://doi.org/10.1016/j.xrrt.2024.08.008Article
Low carbon concrete: advancements, challenges and future directions in sustainable construction
Barbhuiya, S., Das, B. B., Adak, D., Kapoor, K. and Tabish, M. 2025. Low carbon concrete: advancements, challenges and future directions in sustainable construction. Discover Concrete and Cement. 1 (Art. 3). https://doi.org/10.1007/s44416-025-00002-yArticle
Artificial Intelligence in Damage Detection of Concrete Structures: Techniques, Integration and Future Directions
Barbhuiya, S. and Das, B. B. 2025. Artificial Intelligence in Damage Detection of Concrete Structures: Techniques, Integration and Future Directions. in: Jahangir, H., Arora, H. C., Dos Santos, J. V. A., Kumar, K., Kumar, A. and Kapoor, N. R. (ed.) Damage Detection and Structural Health Monitoring of Concrete and Masonry Structures: Novel Techniques and Applications Singapore Springer Nature. pp. 31-92Book chapter
Mechanical performance of bio-based materials in structural applications- A comprehensive review
Barbhuiya, S., Das, B. B., Kapoor, K., Das, A. and Katare, V. 2025. Mechanical performance of bio-based materials in structural applications- A comprehensive review. Structures. 75 (Art. 108726). https://doi.org/10.1016/j.istruc.2025.108726Article
The Power of Dark Data - Exploring the Role of Data Governance
Alkhatib, F. 2025. The Power of Dark Data - Exploring the Role of Data Governance. PhD Thesis Univeristy of East London Architecture, Computing & Engineering https://doi.org/10.15123/uel.8z329PhD Thesis
Machine Learning Enabled Data Quality (DQ) Assessment Framework for connected vehicles data
Wondie, M. 2025. Machine Learning Enabled Data Quality (DQ) Assessment Framework for connected vehicles data. Prof Doc Thesis Univeristy of East London Architecture, Computing & Engineering https://doi.org/10.15123/uel.8z326Prof Doc Thesis
Financial Decision-Making AI-Framework to Predict Stock Price Using LSTM Algorithm and NLP-Driven Sentiment Analysis Model
AbouGrad, H., Qadoos, A. and Sankuru, L. 2025. Financial Decision-Making AI-Framework to Predict Stock Price Using LSTM Algorithm and NLP-Driven Sentiment Analysis Model.Conference paper
Efficient Blind Equalizer Schemes Using Variable Tap-length Algorithm
Alsaid, S. and AbouGrad, H. 2025. Efficient Blind Equalizer Schemes Using Variable Tap-length Algorithm. AI and IoT for Next-Generation Smart Robotic Systems Innovations, Challenges, and Opportunities – AISRS Workshop, 3rd International Conference on Mechatronics and Smart Systems – CONF-MSS 2025. University of East London 09 - 09 Dec 2024 EWA Publishing.Conference paper
Neural Networks Stock Market Price Forecasting Model: Integrating Economic Indicators and Investment Technical Analysis Toward Advanced Financial Analysis
AbouGrad, H., Sankuru, L. and Qadoos, A. 2025. Neural Networks Stock Market Price Forecasting Model: Integrating Economic Indicators and Investment Technical Analysis Toward Advanced Financial Analysis. AI and IoT for Next-Generation Smart Robotic Systems Innovations, Challenges, and Opportunities – AISRS Workshop, 3rd International Conference on Mechatronics and Smart Systems – CONF-MSS 2025. University of East London 09 - 09 Dec 2024 EWA Publishing.Conference paper
AI-GeoInfo Crop Recommendation Framework Using Decision Tree Classifier and Flask-based GeoAPIs
AbouGrad, H. and Yegamati, M. 2025. AI-GeoInfo Crop Recommendation Framework Using Decision Tree Classifier and Flask-based GeoAPIs. AI and IoT for Next-Generation Smart Robotic Systems Innovations, Challenges, and Opportunities – AISRS Workshop, 3rd International Conference on Mechatronics and Smart Systems – CONF-MSS 2025. University of East London 09 - 09 Dec 2024 EWA Publishing.Conference paper
AI Investment Advisory: Examining Robo-Advisor Adoption Using Financial Literacy and Investment Experience Variables
Qadoos, A., AbouGrad, H., Wall, J. and Sharif, S. 2025. AI Investment Advisory: Examining Robo-Advisor Adoption Using Financial Literacy and Investment Experience Variables. AI and IoT for Next-Generation Smart Robotic Systems Innovations, Challenges, and Opportunities – AISRS Workshop, 3rd International Conference on Mechatronics and Smart Systems – CONF-MSS 2025. University of East London 09 - 09 Dec 2024 EWA Publishing. https://doi.org/10.54254/2755-2721/2025.21287Conference paper
Sustainable solutions for low-cost building: Material innovations for Assam-type house in North-East India
Barbhuiya, S., Adak, D., Marthong, C. and Forth, J. 2025. Sustainable solutions for low-cost building: Material innovations for Assam-type house in North-East India. Case Studies in Construction Materials. 22 (Art. e04461). https://doi.org/10.1016/j.cscm.2025.e04461Article
Comparison of 7 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 7 Artificial Intelligence models in Predicting Venous Thromboembolism in COVID-19 Patients. Research and Practice in Thrombosis and Haemostasis. 9 (2), p. Art. 102711. https://doi.org/10.1016/j.rpth.2025.102711Article
Reliability–Centered Maintenance Using Reliability Parameters on Gas Compressors
Omozuhiomwen, G. E., Kure, H., Obi, E. R., Ebenuwa, S. H., Ijemaru, G. K. and Nwajana, A. O. 2025. Reliability–Centered Maintenance Using Reliability Parameters on Gas Compressors. International Journal of Manufacturing, Materials, and Mechanical Engineering (IJMMME). 14 (1), pp. 1-31. https://doi.org/10.4018/IJMMME.367256Article
Harmony in Federated Learning: A Comprehensive Review of Techniques to Tackle Heterogeneity and Non-IID Data
Karami, M. and Karami, A. 2025. Harmony in Federated Learning: A Comprehensive Review of Techniques to Tackle Heterogeneity and Non-IID Data. Cluster Computing. p. In press.Article
The impact of big data characteristics on credit risk assessment
Karami, A. and Igbokwe, C. 2025. The impact of big data characteristics on credit risk assessment. International Journal of Data Science and Analytics. p. In press. https://doi.org/10.1007/s41060-025-00753-8Article
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