Projects per year
Personal profile
Research interests
Passionate about advancing sustainable construction, I specialise in developing innovative structural systems and materials that push the boundaries of sustainability. My research is rooted in concrete science and technology, focusing on low carbon materials and structural health monitoring, integrating machine learning techniques to optimise performance and longevity. With a keen interest in civil and structural engineering, I explore the potential of advanced fibre-reinforced polymer (FRP) composites for structural applications.
My work bridges the gap between traditional structural engineering practices and innovations in the built environment. I have a strong focus on recycling, utilizing wastepaper sludge ash (WSA), construction and demolition waste, and other sustainable materials like fly ash, GGBS, and metakaolin to promote eco-friendly solutions.
An advocate for computational techniques, I am dedicated to enhancing construction practices through computational optimization and deep learning, ensuring that our built environment is both resilient and sustainable for future generations.
#LowCarbon #Cement #Concrete #StructuralEngineering #FiberReinforcedPolymer #FRP #Computation #Optimization #StructuralHealthMonitoring #DeepLearning
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Keywords
- TA Engineering (General). Civil engineering (General)
- Structural engineering
- Structural health monitoring
- Structural testing
- Experimental Methods
- fly ash
- cement
- Low Carbon
- materials
- metakaolin
- Metamaterial
- Net Zero
- Qualitative Methods
- Quantitative Methods
- recycling
- Resilience
- Road Safety
- roads
- housing
- silica fume
- slag
- technology
- transportation
- waste
- concrete
- Fibre-Reinforced Polymer (FRP) composite
- Sustainable materials
- Construction
- Built environment
- Wastepaper Sludge Ash (WSA)
- Construction and Demolition Waste (CDW)
- Recycled Concrete Aggregates
- Slate aggregates
- Material Testing
- Material Characterisation
- Non-destructive testing (NDT)
- Retrofitting and Repair
- QA75 Electronic computers. Computer science
- Numerical Methods
- Finite Element Analysis (FEA)
- Optimization Techniques
- Artificial Intelligence (AI)
- Machine Learning
- Neural Networks
- Deep Learning
- Data-driven modeling
- Computational Geometry
- Stochastic Methods
- Uncertainty Quantification
- Computational Structural Mechanics
- Computational Materials Science
- LB2300 Higher Education
- Pedagogy
- Practice and professional learning
- Self-assessment
- Training
- Blended Learning
- Research-led teaching
- Project-Based Learning (PBL)
- Collaborative Learning
- Flipped Classroom
- Differentiated Instruction
- Problem-Based Learning
- Experiential Learning
- Case-Based Learning
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Structural Health Monitoring Using AI-based Fibre Optic Sensor Technology
1/01/21 → …
Project: Research
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Structural Health Monitoring Using Deep Learning
Nyathi, M. A., Wilson, I. & Bai, J.
1/01/21 → 31/12/24
Project: Research
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Deep learning-based approaches for damage detection and localisation in large-scale civil infrastructure using vibration-based monitoring methods: a review
Nyathi, M., Bai, J. & Wilson, I., 1 Aug 2024, Proceedings of the Fourteenth International Conference on Computational Structures . Topping, B. H. V. & Kruis, J. (eds.). Edinburgh: Civil-Comp Press, 13.1. (Civil-Comp Conferences; vol. CCC 3).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Deep Learning for Concrete Crack Detection and Measurement
Nyathi, M., Bai, J. & Wilson, I., 5 Feb 2024, In: Metrology. 4, 1, p. 66–81 16 p., 4010005.Research output: Contribution to journal › Article › peer-review
Open AccessFile50 Downloads (Pure) -
Road Defect Detection Using Deep Learning
Nyathi, M., Bai, J. & Wilson, I., 5 Sept 2024, Proceedings of the Twelfth International Conference on Engineering Computational Technology. Iványi, P., Kruis, J. & Topping, B. H. V. (eds.). Edinburgh: Civil-Comp Press, Vol. 8. 7 p. 4.4. (Civil-Comp Conferences; vol. 8).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open AccessFile10 Downloads (Pure) -
The Effects of Bi-Combination of GGBS and PFA on the Mechanical Properties of Concrete
Al-Waked, Q., Almasri, A., Bai, J., Aljaberi, M., Al-Waked, F. & Al-Waked, A., 21 Nov 2024, In: Waste. 2, 4, p. 474-489 16 p., 2040025.Research output: Contribution to journal › Article › peer-review
Open AccessFile2 Downloads (Pure) -
Concrete Crack Detection Using Thermograms and Neural Network
Abuhmida, M., Bai, J., Wilson, I. & Milne, D., 29 Dec 2023.Research output: Contribution to conference › Paper › peer-review