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 2 Zero Hunger -
SDG 7 Affordable and Clean Energy -
SDG 8 Decent Work and Economic Growth -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 13 Climate Action -
SDG 17 Partnerships for the Goals
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Dive into the research topics where Afzal Soomro 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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Machine learning applications in nuclear power plant piping inspection: A review of methods, data, and future trends
Soomro, A. A., Siddiqui, O. K., Shams, A. & Almomani, B., Jan 2026, In: Annals of Nuclear Energy. 225, 111760.Research output: Contribution to journal › Review article › peer-review
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Probabilistic risk assessment of nuclear power plant integrated hydrogen generation: A comprehensive literature review of methods, models, and data sources
Soomro, A. A., Almomani, B., Gherbi, M., Shams, A. & Khan, S. A., 14 Apr 2026, In: International Journal of Hydrogen Energy. 225, 154506.Research output: Contribution to journal › Review article › peer-review
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Integrating AI Into Sustainability
Soomro, A. A., Gobal, A. & Saad, M. H. M., 1 Jan 2025, Green Society, Environmental Strategies and Sustainable Development. Springer Science+Business Media, p. 45-70 26 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
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Smart adaptive ensemble model for multiclass imbalanced nonstationary data streams
Palli, A. S., Jaafar, J., Md Saad, M. H., Mokhtar, A. A., Gomes, H. M., Soomro, A. A. & Gilal, A. R., Dec 2025, In: Scientific Reports. 15, 1, 21140.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations -
Analysis of machine learning models and data sources to forecast burst pressure of petroleum corroded pipelines: A comprehensive review
Ahmed Soomro, A., Akmar Mokhtar, A., B Hussin, H., Lashari, N., Lekan Oladosu, T., Muslim Jameel, S. & Inayat, M., Jan 2024, In: Engineering Failure Analysis. 155, 107747.Research output: Contribution to journal › Review article › peer-review
Open Access43 Scopus citations