Dr. Ayodeji Salau received a B.Eng. degree in Electrical/Computer Engineering from Federal University of Technology, Minna, Nigeria. He received his MSc and PhD degrees in Electronic and Electrical Engineering from Obafemi Awolowo University, Ile-Ife, Nigeria. He is a registered professional engineer with the Council for the Regulation of Engineering in Nigeria (COREN) and a member of the International Association of Engineers (IAENG). Dr. Salau serves as a reviewer for numerous reputable international journals, and is a Co-Chair and technical program committee member for various conferences. Dr. Salau has authored/co-authored about 125 articles in a number of reputable international conferences, book series, and major international journals. He has authored 3 books. His research interests include research in the fields of computer vision, image processing, signal processing, machine learning, and power systems engineering. He is the recipient of the Quarterly Franklin Membership given in 2020 by the Editorial Board of London Journals Press for top quality research output. In addition, Dr. Salau’s paper was awarded the best paper of the year 2019 in Cogent Engineering. Furthermore, he is the recipient of the International Research Award on New Science Inventions (NESIN) under the category of “Best Researcher Award” given by Science Father in 2020. He is the recipient of the International Best Researcher Award given by the ISSN International Science & Technology Awarding body (IISTAC-2022) in 2022. He was also awarded the Young Scientist Award by the International Research Awards on Science, Technology and Management, INSO in 2022. Also, he was awarded the best researcher award for the year 2020-2022 by the Chancellor of Afe Babalola University, Ado-Ekiti (ABUAD), Nigeria. According to the SCIVal (SCOPUS-Elsevier) analysis/ranking of academics, Dr. Salau is among the most productive researchers in Nigeria (no. 28). Presently, Dr. Salau works at Afe Babalola University in the Department of Electrical/Electronics and Computer Engineering.
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