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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Life Cycle Assessment and Circular Performance of Green Buildings
Parisi, L., Mendu, M. and Kumah, V. M. A. 2025. Life Cycle Assessment and Circular Performance of Green Buildings. in: The Elgar Companion on Circularity, Deconstruction, and Adaptability in Green Buildings Edward Elgar Publishing. pp. In pressBook chapter
Gender-inclusive regeneration strategies for inner city housing
Adewale, B. A. and Parisi, L. 2025. Gender-inclusive regeneration strategies for inner city housing. Cities. 165 (Art. 106125). https://doi.org/10.1016/j.cities.2025.106125Article
Synergizing Artificial Intelligence with Sustainable Design for Smart Built Environments
Parisi, L., Kumah, V. M. A. and Konadu, E. A. 2025. Synergizing Artificial Intelligence with Sustainable Design for Smart Built Environments. Proceedings of the International Conference on Smart and Sustainable Built Environment (SASBE 2024). New Zealand 2024 Springer Nature. https://doi.org/10.1007/978-981-96-4051-5_142Conference paper
Rising Tides, Shifting Communities: Rotterdam's Innovative Approach to Climate Gentrification and Urban Resilience
Parisi, L. 2025. Rising Tides, Shifting Communities: Rotterdam's Innovative Approach to Climate Gentrification and Urban Resilience. 2025 MCAA Annual Conference and General Assembly. Krakow 20 - 21 Mar 2025Conference poster
AI at the Crossroads: Transforming Entire Sectors for a Smarter and Sustainable Future
Parisi, L. 2025. AI at the Crossroads: Transforming Entire Sectors for a Smarter and Sustainable Future. 5th Annual UNICAF University Graduate Conference. UNICAF.Conference keynote
Vivian van Blerk - Memento Mori
Brauer, F. 2025. Vivian van Blerk - Memento Mori. Galerie Dominique Fiat.Other
Robust Deepfake Speech Algorithm Recognition: Classifying Generative Algorithms via Speaker X-Vectors and Deep Learning
Maltby, H., Wall, J., Glackin, C., Moniri, M., Shrestha, R., Cannings, N. and Salami, I. 2025. Robust Deepfake Speech Algorithm Recognition: Classifying Generative Algorithms via Speaker X-Vectors and Deep Learning. IEEE International Joint Conference on Neural Networks (IJCNN). Vancouver, Canada 24 - 29 Jul 2016 IEEE.Conference paper
A multi-stage review framework for AI-driven predictive maintenance and fault diagnosis in photovoltaic systems
Hamza, A., Ali, Z., Dudley, S., Saleem, K., Uneeb, M. and Christofides, N. 2025. A multi-stage review framework for AI-driven predictive maintenance and fault diagnosis in photovoltaic systems. Applied Energy. 393 (Art. 126108). https://doi.org/10.1016/j.apenergy.2025.126108Article
Ground waste glass as a supplementary cementitious material for concrete: sustainable utilization, material performance and environmental considerations
Barbhuiya, S., Kanavaris, F., Ashish, D. K., Tu, W., Das, B. B. and Adak, D. 2025. Ground waste glass as a supplementary cementitious material for concrete: sustainable utilization, material performance and environmental considerations. Journal of Sustainable Cement-Based Materials. p. In press. https://doi.org/10.1080/21650373.2025.2493719Article
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
reconCTI A Proactive Approach to Cyber Threat Intelligence
Rahman, M. M., Memon, S., Ahmed, T. and Al-Nemrat, A. 2025. reconCTI A Proactive Approach to Cyber Threat Intelligence. 1st Future International Conference on AI and Cybersecurity (FICAC25). Cairo, Egypt 05 - 06 Nov 2025 IEEE.Conference paper
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 Engineering https://doi.org/10.15123/uel.8z91zProf 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 and Engineering https://doi.org/10.15123/uel.8z91yProf Doc Thesis
An analysis of the optimal research and development investment level of contractor using the panel threshold regression model
Whang, S., Flanagan, R. and Kim, K. P. 2025. An analysis of the optimal research and development investment level of contractor using the panel threshold regression model. International Journal of Construction Management. p. In press. https://doi.org/10.1080/15623599.2025.2496952Article
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 and Emerging Technologies: Artificial Intelligence & Future Applications, IHIET-FS 2025, June 10-12, 2025, University of East London, London, United Kingdom.. AHFE International. https://doi.org/10.54941/ahfe1005962Conference 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 School of 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
Enhanced Bone Fracture Diagnosis in X-rays Using Fine-Tuned DenseNet169 Deep Learning Model
Panhwar, A. O., Memon, S., Dhomeja, L. D., Prasad, M. and Chandio, A. A. 2025. Enhanced Bone Fracture Diagnosis in X-rays Using Fine-Tuned DenseNet169 Deep Learning Model. 2024 26th International Multi-Topic Conference (INMIC). IEEE. https://doi.org/10.1109/INMIC64792.2024.11004340Conference paper
URL Spam Detection Using Machine Learning Classifiers
Almomani, O., Alsaaidah, O., Abualhaj, M. M., Almaiah, M. A., Almomani, A. and Memon, S. 2025. URL Spam Detection Using Machine Learning Classifiers. 1st International Conference on Computational Intelligence Approaches and Applications (ICCIAA). Jordan Apr - May 2025 IEEE. https://doi.org/10.1109/ICCIAA65327.2025.11013448Conference 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
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