Personal profile
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):
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SDG 7 Affordable and Clean Energy -
SDG 8 Decent Work and Economic Growth -
SDG 9 Industry, Innovation, and Infrastructure
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Dive into the research topics where Maryam Khaksar Ghalati is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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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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Integrated machine-learning modelling for mechanical property prediction – A case study on laser-welded TC4 titanium alloy
Zhang, S., Cao, R., Ghalati, M. K., Dong, H. & Wei, Y., Jul 2026, In: Optics and Laser Technology. 199, 12 p., 115019.Research output: Contribution to journal › Article › peer-review
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A machine learning approach to characterise fabrication porosity effects on the mechanical properties of additively manufactured thermoplastic composites
Udu, A. G., Osa-uwagboe, N., Adeniran, O., Aremu, A., Khaksar, M. G. & Dong, H., Sept 2025, In: Journal of Reinforced Plastics and Composites. 44, 17-18, p. 1060-1094 35 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Boosting algorithms for predicting end-point temperature in BOF steelmaking using big industrial datasets
Zhang, J. B., Khaksar Ghalati, M., Fu, J., Yang, X. A., El-Fallah, G. M. A. M. & Dong, H. B., Jul 2025, In: Journal of Iron and Steel Research International. 32, 7, p. 1856-1868 13 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Deep Transformers for Analyzing BOF Steelmaking Data
Khaksar Ghalati, M., Hao, Z. D., Zhang, J. & Dong, H., Aug 2025, In: Metallurgical and Materials Transactions B: Process Metallurgy and Materials Processing Science. 56, 4, p. 4201-4217 17 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Emerging SMOTE and GAN Variants for Data Augmentation in Imbalance Machine Learning Tasks: A Review
Udu, A. G., Salman, M. T., Ghalati, M. K., Lecchini-Visintini, A., Siddle, D. R. & Dong, H., 9 Jul 2025, In: IEEE Access. 13, p. 113838-113853 16 p.Research output: Contribution to journal › Review article › peer-review
Open Access