Projects per year
Personal profile
Research Interests
Evolutionary Computation, Optimization, Data Science, Machine Learning, Neural Networks, Meta-heuristics, Robust optimization, multi-objective optimization, Feature selection.
Personal profile
Seyedali Mirjalili is an Associate Professor at Torrens University Center for Artificial Intelligence Research and Optimization and internationally recognized for his advances in nature-inspired Artificial Intelligence (AI) techniques. He is the author of more than 150 publications including five books, 100 journal articles, 20 conference papers, and 30 book chapters. With over 30,000 citations and H-index of 60, he is one of the most influential AI researchers in the world. From Google Scholar metrics, he is globally the most cited researcher in Optimization using AI techniques, which is his main area of expertise. He has been the keynote speaker of several international conferences and is serving as an associate editor of top AI journals including Neurocomputing, Applied Soft Computing, Advances in Engineering Software, Applied Intelligence, IEEE Access, and the Journal of Algorithms.
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Education/Academic qualification
Computer Science, PhD, Griffith University Queensland
Award Date: 1 Jan 2016
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Projects
- 1 Active
Research output
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A bi-stage feature selection approach for COVID-19 prediction using chest CT images
Sen, S., Saha, S., Chatterjee, S., Mirjalili, S. & Sarkar, R., 2021, (Accepted/In press) In: Applied Intelligence.Research output: Contribution to journal › Article › peer-review
2 Citations (Scopus) -
A Comparative Study of Recent Multi-objective Metaheuristics for Solving Constrained Truss Optimisation Problems
Panagant, N., Pholdee, N., Bureerat, S., Yildiz, A. R. & Mirjalili, S., 2021, (Accepted/In press) In: Archives of Computational Methods in Engineering.Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus) -
A comprehensive survey of sine cosine algorithm: variants and applications
Gabis, A. B., Meraihi, Y., Mirjalili, S. & Ramdane-Cherif, A., 2021, (Accepted/In press) In: Artificial Intelligence Review.Research output: Contribution to journal › Article › peer-review
Open Access -
A deep learning-based evolutionary model for short-term wind speed forecasting: A case study of the Lillgrund offshore wind farm
Neshat, M., Nezhad, M. M., Abbasnejad, E., Mirjalili, S., Tjernberg, L. B., Astiaso Garcia, D., Alexander, B. & Wagner, M., 15 May 2021, In: Energy Conversion and Management. 236, 114002.Research output: Contribution to journal › Article › peer-review
2 Citations (Scopus) -
Advanced Ensemble Model for Solar Radiation Forecasting using Sine Cosine Algorithm and Newton’s Laws
El-kenawy, E. S. M., Mirjalili, S., Ghoneim, S. S. M., Eid, M. M., El-Said, M., Khan, Z. S. & Ibrahim, A., 2021, (Accepted/In press) In: IEEE Access.Research output: Contribution to journal › Article › peer-review
Open Access