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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!
Confirmed Title Details

Advanced applications of machine learning (ICCAD’24) at IgMin Research

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

Conventional methods for modeling complex systems that rely on statistical modeling and physical processes typically require a lot of work by researchers with little expertise. Machine learning and its applications are becoming increasingly relevant to the research community. Using less prior knowledge, sophisticated machine learning algorithms can approximate extremely complex systems with high accuracy. Machine learning (ML) techniques are widely used in many applications, including autonomous systems, robotics, agriculture, image and audio recognition, medicine, and many other fields.

This special issue focuses on articles that describe the development of new analytical frameworks that advance practical ML techniques. We would like to encourage, in particular, all participants of the IEEE 2024 International Conference on Control, Automation and Diagnosis (ICCAD’24), held in Paris (France) (https://www.iccad-conf.com/), to submit extended versions of their presented papers. Contributions arising from papers given at a conference should be substantially extended and should cite the conference paper where appropriate.

We also focus on contributions that describe the application of machine learning methods to real-world problems and the theoretical and/or experimental studies that yield new insights into the design of ML systems. It is open to all researchers of this area.

Jul 15, 2024
Submission Deadline
Aug 30, 2024
First Review Due
Oct 01, 2024
Revision Due
Nov 01, 2024
Second Review Due
Nov 20, 2024
Final Manuscript Due
Dec 11, 2024
Publication Date

Work Details

 Associate Professor

 Department of Electrical engineering

 University of Tunis

 Tunisia

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.

Research Interest

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

Work Details

 University of Sousse

 Tunisia

Biography

Chakib Ben Njima is an Associate Professor of Automatic Control and Industrial Informatics at the Higher Institute of Transport and Logistics of Sousse (ISTLS), University of Sousse, Tunisia.

He was born in 1979 in Sousse, Tunisia. He received his Master's diploma in 2007 from the National School of Engineers of Monastir, Tunisia. He took a PhD degree in Automatic Control from the National School of Engineers of Monastir in 2013 and his HDR in 2021 from the University of Sousse. 

His research is carried out at the LARATSI research laboratory at the National Engineering School of Monatsir, Tunisia. He has published tens of articles in relevant journals as well as in international conferences at high levels.

He has been invited on several occasions to provide courses and research work in research laboratories in Europe, especially at Polytech Grenoble, France. He is an IEEE Senior Member (93997759) and a member of the International Federation on Automatic Control (IFAC), the President (Founder) of the Tunisian Association of Technology and Sustainable Development (ATTeDD) and the Founder of the IEEE/IFAC/DBLP International Conference on Control, Automation, and Diagnosis (ICCAD).