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Discover the nexus of Science, Technology, Engineering, and Medicine in our Multidisciplinary Open Access Journal – a platform for breakthroughs and collaborative expertise, driving knowledge and innovation. | Important Update! Building on our inaugural year's success, adjustments to article processing charges will take effect in October. More details coming soon! | Discover the nexus of Science, Technology, Engineering, and Medicine in our Multidisciplinary Open Access Journal – a platform for breakthroughs and collaborative expertise, driving knowledge and innovation. | Important Update! Building on our inaugural year's success, adjustments to article processing charges will take effect in October. More details coming soon!
Abstract

Moez Soltani Editor at IgMin Research

Our mission is to foster interdisciplinary dialogue and accelerate the advancement of knowledge across a wide spectrum of scientific domains.

Biography

Moez Soltani is an associate professor at the National School of Computer Sciences (ENSI). He received his PhD. and HDR. degrees, both in electrical engineering from the National Higher Engineering School of Tunis (ENSIT), University of Tunis, Tunisia, in 2013 and 2021 respectively. From 2021, he obtained his associate professor qualification from the French university system.

He is currently an IEEE Senior member. From 2013-2021, he was an assistant professor at ENSIT and at the Higher Institute of Applied Sciences and Technology of Mateur, University of Carthage. His research is carried out in the laboratory of the LISIER of Tunis. He is the (co-)author of more than 30 scientific publications, including international journals, book, book chapters and international conferences. He is also a regular Reviewer for more than 40 international journals and an editorial board member of a Special issue published in the International Journal of Cybernetics and Systems (Taylor & Francis). He served as a TPC/IPC member for different international conferences and he organized different scientific events.

Reasearch Interest

Identification and modeling, fuzzy logic, deep learning, machine learning, and artificial intelligence (AI).