Zahra Ghasemi
Higher Degree by Research Candidate
School of Electrical and Mechanical Engineering
Faculty of Sciences, Engineering and Technology
Evolutionary Computation
Optimisation
Real-world Applications
Time series
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Education
Date Institution name Country Title 2022 University of Adelaide Australia PhD 2007 - 2010 Isfahan University of Technology Iran Master of Science 2003 - 2007 Isfahan University of Technology Iran Bachelor of Science
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Journals
Year Citation 2024 Ghasemi, Z., Neumann, F., Zanin, M., Karageorgos, J., & Chen, L. (2024). A comparative study of prediction methods for semi-autogenous grinding mill throughput. Minerals Engineering, 205, 108458-1-108458-14.
Scopus72024 Ghasemi, Z., Neshat, M., Aldrich, C., Karageorgos, J., Zanin, M., Neumann, F., & Chen, L. (2024). An integrated intelligent framework for maximising SAG mill throughput: Incorporating expert knowledge, machine learning and evolutionary algorithms for parameter optimisation. Minerals Engineering, 212, 108733-1-108733-16.
Scopus42022 Ghasemi, Z., Khorshidi, H. A., & Aickelin, U. (2022). Multi-objective Semi-supervised clustering for finding predictive clusters. Expert Systems with Applications, 195, 7 pages.
Scopus3 WoS32017 Ghasemivinche, Z., & Hamadani, A. Z. (2017). Predicting Mechanical Properties of Galvanized Steels: Data Mining Approach. International Journal of Advanced Engineering, Management and Science, 3(7), 724-729.
- Determining the Optimal Maintenance Strategy for Ammonium Hydroxide Production Unit Using Risk-Based Inspection and Analytic Hierarchy Process (n.d.). International Journal of Engineering, 34(9).
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Conference Papers
Year Citation 2024 Ghasemi, Z., Neshat, M., Aldrich, C., Karageorgos, J., Zanin, M., Neumann, F., & Chen, L. (2024). Enhanced Genetic Programming Models with Multiple Equations for Accurate Semi-Autogenous Grinding Mill Throughput Prediction. In Proceedings of the IEEE Congress on Evolutionary Computation (CEC 2024) (pp. 1-9). Yokohama, Japan: IEEE.
DOI2021 Ghasemi, Z., Khorshidi, H. A., & Aickelin, U. (2021). A survey on Optimisation-based Semi-supervised Clustering Methods. In 2021 IEEE International Conference on Big Knowledge (ICBK) (pp. 477-482). IEEE.
DOI
2021: ARC Training Center for Integrated Operations for Complex Resources Scholarship with Corresponding Full Fee Scholarship.
2007: Awarded Honorary Direct Admission to the MSc Program of Industrial Engineering Department of Isfahan University of technology as the First-ranked Student in the Department.
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