Research output per year
Research output 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 a 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 300 publications including five books, 250 journal articles, 20 conference papers, and 30 book chapters. With over 40,000 citations and H-index of 70, 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. Since 2019, he has been is in the list of 1% highly-cited researchers and named as one of the most influential researchers in the world by Web of Science. In 2021, The Australian newspaper named him as the top researcher in Australia in three fields of Artificial Intelligence, Evolutionary Computation, and Fuzzy Systems. He is a senior member of IEEE and is serving as an associate editor of leading AI journals including Neurocomputing, Applied Soft Computing, Advances in Engineering Software, Computers in Biology and Medicine, Healthcare Analytics, Applied Intelligence, and IEEE Access.
URL
Education/Academic qualification
Computer Science, PhD, Griffith University Queensland
Award Date: 1 Jan 2016
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Research output
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A beta salp swarm algorithm meta-heuristic for inverse kinematics and optimization
Rokbani, N., Mirjalili, S., Slim, M. & Alimi, A. M., 2022, (Accepted/In press) In: Applied Intelligence.Research output: Contribution to journal › Article › peer-review
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A Chaos–Infused Moth–Flame Optimizer
Gupta, A., Tiwari, D., Kumar, V., Rana, K. P. S. & Mirjalili, S., 2022, (Accepted/In press) In: Arabian Journal for Science and Engineering.Research output: Contribution to journal › Article › peer-review
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A Comprehensive Survey on the Recent Variants and Applications of Membrane-Inspired Evolutionary Algorithms
Alsalibi, B., Mirjalili, S., Abualigah, L., yahya, R. I. & Gandomi, A. H., 2022, In: Archives of Computational Methods in Engineering.Research output: Contribution to journal › Article › peer-review
3 Citations (Scopus) -
Adaptive grey wolf optimizer
Meidani, K., Hemmasian, A. P., Mirjalili, S. & Barati Farimani, A., 2022, (Accepted/In press) In: Neural Computing and Applications.Research output: Contribution to journal › Article › peer-review
2 Citations (Scopus) -
A data-driven approach for linear and nonlinear damage detection using variational mode decomposition and GARCH model
Gharehbaghi, V. R., Kalbkhani, H., Noroozinejad Farsangi, E., Yang, T. Y. & Mirjalili, S., 2022, In: Engineering with Computers.Research output: Contribution to journal › Article › peer-review