Amir H. Gandomi is a Professor of Data Science and an ARC DECRA Fellow at the Faculty of Engineering and Information Technology at the University of Technology Sydney.
Amir H. Gandomi is among the world’s most-cited researchers for his work in the fields of global optimisation and big data analytics, in particular, using machine learning and evolutionary computations.
Amir has published more than 200 journal papers and seven books, which collectively have more than 21,000 citations (with an H-index of 69), and he has been named one of the world’s most influential scientific minds and highly-cited researchers by the influential Clarivate Analytics for four consecutive years, to 2020.
He is also ranked 18th among more than 12,000 researchers in the online computer science bibliography, Genetic Programming bibliography, and ranks first in Australia.
Based on Analysis Mendeley data by John Ioannidis et al., (Stanford) looking at researchers’ impact, Amir is ranked in the first quartile (top 25,000) among all researchers for career-long impact. He ranked 368 in AI and Image Processing for career-long impact; 1733 among all researchers in 2019; 77 in AI and Image Processing in 2019, and; 78 in Civil Engineering in 2019. He has served as associate editor, editor and guest editor in several prestigious journals such as AE of IEEE TBD and IEEE IoTJ.
He regularly delivers keynote addresses at major conferences. Prior to joining UTS, Amir was an Assistant Professor at Stevens Institute of Technology in the US.
He was also a distinguished research fellow in the BEACON Center, Michigan State University, where biologists, computer scientists and engineers together study evolution and apply their knowledge to real-world problems.
He has received multiple awards for his research such as:
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