| Submission declined on 2 July 2024 by DoubleGrazing (talk). This submission is not adequately supported by reliable sources. Reliable sources are required so that information can be verified. If you need help with referencing, please see Referencing for beginners and Citing sources. This submission's references do not show that the subject qualifies for a Wikipedia article—that is, they do not show significant coverage (not just passing mentions) about the subject in published, reliable, secondary sources that are independent of the subject (see the guidelines on the notability of people). Before any resubmission, additional references meeting these criteria should be added (see technical help and learn about mistakes to avoid when addressing this issue). If no additional references exist, the subject is not suitable for Wikipedia.
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Comment: Please remove all inline external links from body text, convert to citations where relevant. DoubleGrazing (talk) 16:41, 2 July 2024 (UTC)
- Comment: Unreferenced, no evidence of notability. DoubleGrazing (talk) 16:40, 2 July 2024 (UTC)
Nima Khodadadi
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Nima is a dedicated 2nd Ph.D. candidate at the University of Miami (UM), working under the esteemed mentorship of Professor Antonio Nanni. He holds a bachelor's degree in civil engineering and a master's degree in structural and civil engineering from the University of Tabriz, one of Iran's top ten universities, under the guidance of Dr. Siamak Talatahari. He earned his first Ph.D. at the Iran University of Science and Technology (IUST) with distinguished professor Ali Kaveh, focusing on steel structures, particularly in the experimental and numerical investigation of steel-braced frames.
Nima has been actively involved in engineering optimization, specializing in evolutionary algorithms with Professor Seyed Ali Mirjalili. His primary research interests include artificial intelligence (AI), machine learning, fiber-reinforced polymers (FRP), concrete, and metaheuristic algorithms. His work addresses single- and multi-objective engineering optimization, particularly solving large-scale and practical structural design problems. Recently, he has focused on AI techniques and applications for FRP-integrated concrete structures. His steadfast dedication has resulted in over 70 peer-reviewed publications, more than 2,800 citations by 2024, and an H-index of 34. His research interests also include Optimization, Swarm Intelligence, Evolutionary Algorithms, and Machine Learning.