Ali Asghar Heidari

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Ali Asghar Heidari (http://aliasgharheidari.com), is an exceptional analyst developer in performance optimization, an exceptionally talented researcher at the School of Computing, National University of Singapore (NUS), is an exceptionally talented researcher at the University of Tehran, and he is awarded and recognized by Iran’s National Elites Foundation (INEF). He has been ranked among the world's top computer scientists by guide2research (https://research.com/u/ali-asghar-heidari), top 2% of Stanford University, and top 1% reviewers in computer science. He has been recognized by (publons.com/a/1397783) as the top 1% peer reviewers in computer science and cross-field (http://aliasgharheidari.com). He contributes to advanced AI algorithms and machine learning methods published/under review in the best Q1 journals with prof. H Fujita at Iwate Prefectural Japan, prof. Xiaodong Li at RMIT, prof. P. Fournier-Viger at Harbin Institute of Tech., prof. Faris and prof. Aljarah at the University of Jordan, prof. Hui-Ling Chen, prof. Mafarja, prof. Zhang, and prof. Oliva. His research focuses specifically on Advanced Machine Learning, Evolutionary Computation, Optimization, Prediction, Information Systems, and Mathematical Modelling. He has authored more than 110 journal articles with over 6000 citations (H-index of 43) and over 120000 readers in prestigious international journals such as Information Fusion, Information Sciences, Future Generation Computer Systems, Renewable, and Sustainable Energy Reviews, Journal of Cleaner Production, Energy, Energy Conversion and Management, Applied Soft Computing, Knowledge-Based Systems, IEEE Access, and Expert Systems with Applications. Heidari also serves as an active ad hoc reviewer for ASOC, KNOSYS, Inf Sci, ECM, IJGIS, etc (see: publons.com/a/1397783). For More info and guidance, please refer to http://aliasgharheidari.com.