Pr. Abdelaziz Kallel received the HDR degree from the Sfax University, Tunisia, in 2014. In 2007, he obtained the Ph.D. degree in physics from the Paris-Sud University, France. He got the engineering and M.S. degrees in telecoms from Sup'Com, Tunisia, in 2003 and 2004, respectively. He was a post doc scientist at LSCE, France and Tartu Observatory, Estonia, in 2008 and 2009, respectively. He is currently a senior researcher of remote sensing at Digital Research Centre of Sfax, Tunisia. Particularly, he is the head of the Remote Sensing for Smart Agriculture (RSSA) Team as well as the Laboratory of Signals, systeMs, aRtificial Intelligence and neTworkS (SMARTS). He was the coordinator of the PHC-Utique project (2017-2019): Olive tree monitoring using optical space born instruments as well as the PAQ-Collabora project (2018-2024): Use of ICT in olive growing: toward optimization of water use and regularity of harvests. He is the coordinator of the federated project (2019-2023): SOS-Olivier: Multi-Approach Monitoring of Olive tree Health in Tunisia using Optical Remote Sensing. He is the scientific coordinator of the Orange group research project (2020-2024) 3A : AI for Agriculture in Africa. He is the first investigator of the valorization project with the CHO Company (2023-2024) ERO: Estimation of the Olive Tree yield. His research interest concerns radiative transfer theory and application to vegetation (crop, plant, forest, …) cover property inversion using passive and active optical remote sensing techniques.

Ahmed Fakhfakh is a full professor at the National School of Electronics and Telecommunications of Sfax (ENET'Com), part of the University of Sfax in Tunisia, where he has been serving since 2015. In addition, he has been the General Director of the Digital Research Center of Sfax (CRNS) since 2023. Professor Fakhfakh earned his HDR (Habilitation à Diriger des Recherches) from the University of Sfax in 2009, his PhD in Electrical Engineering from the University of Bordeaux, France, in 2002, and his undergraduate diploma in Electrical Engineering from the National School of Engineering of Sfax (ENIS), Tunisia, in 1997. He is the head of the research group "Intelligent Systems: Design and Implementation" within the Laboratory of Signals, Systems, Artificial Intelligence, and Networks (SM@RTS) at the Digital Research Center of Sfax. His work focuses on a wide range of cutting-edge technologies, with particular emphasis on developing smart solutions for energy management within smart grids. He is also deeply involved in the design and implementation of Internet of Things (IoT) solutions, the development of wake-up solutions for wireless sensor network applications, and the creation of energy harvesting systems. Professor Fakhfakh’s research is at the intersection of energy efficiency, intelligent systems, and communication technologies, with a commitment to advancing sustainable and innovative solutions for modern technological challenges.

Prof. Lamia CHAARI FOURATI is a distinguished professor in Computer Science and Multimedia at the Higher Institute of Informatics and Multimedia, University of Sfax, Tunisia. She is also a senior researcher at the Digital Research Center of Sfax (CRNS), affiliated with the Laboratory of Signals, systeMs, aRtificial Intelligence, neTworkS (SM@RTS). Her research is centered on the design, analysis, and validation of innovative protocols and mechanisms for emerging networking technologies. Prof. Chaari Fourati’s expertise spans a wide spectrum of digital communication networks, with a particular focus on wireless access networks, wireless sensor networks, vehicular networks, the Internet of Things (IoT), 5G/6G mobile networks, software-defined networks (SDN), information-centric networking (ICN), wireless body area networks (WBAN), and unmanned aerial vehicle (UAV) communication systems. She is particularly interested in addressing critical challenges such as quality of service (QoS) provisioning, cybersecurity, intelligent networks, and network reliability. Her research also emphasizes socially impactful applications, notably in healthcare, environmental monitoring, intelligent transportation, water management systems, and energy-efficient systems. Prof. Chaari Fourati’s research has been widely recognized within the scientific community. She has authored over 110 journal articles and more than 150 conference papers, published in prestigious venues. Her significant contributions to science and technology were acknowledged through several awards including the 2016 Kwame Nkrumah Regional Award for Women in Science (North Africa region), granted by the African Union. Besides that, Prof. Chaari Fourati has supervised 34 Master's theses and 26 PhD dissertations, all of which have been successfully defended, in areas such as computer networks, cybersecurity, and intelligent systems.

Dr. Norhène Gargouri Ben Ayed is an Associate Professor at the Digital Research Center of Sfax in Tunisia. She is a member of the SM@RT Laboratory and contributes to the Computers Imaging and Electronics Systems (CIELS) research team. Her research focuses on medical image processing, where she integrates advanced techniques such as deep learning, machine learning, and artificial neural networks. Dr. Gargouri has authored over 25 scientific publications, with more than 260 citations. Her notable contributions include breast cancer anomaly detection using possibility theory and clustering paradigms, as well as the development of automatic breast computer-aided diagnosis (CAD) systems based on weighted feature fusion and deep convolutional neural networks. In addition to her research activities, she serves as the President of the Association for Scientific Research (ABORS), reflecting her dedication to scientific advancement and collaboration. Dr. Gargouri holds a Professional Doctorate in Engineering (PDEng) from the National Engineering School of Sfax, where she specialized in electrical engineering. She has also earned her University Habilitation, qualifying her to supervise doctoral research.

Sonda Ammar, Ph.D., is an Associate Professor in Computer Science at the Institut Supérieur d’Informatique et de Multimédia de Sfax (ISIMS), Tunisia, and a researcher in the SM@RTS Laboratory. Dr. Ammar earned her Ph.D. in Computer Science with high honors from the École Nationale d’Ingénieurs de Sfax in 2014, with a thesis focused on possibilistic analysis of ultrasonic signals to assist visually impaired individuals. She furthered her academic credentials with a Habilitation in Computer Science in 2023, exploring decision support in uncertain contexts. Her academic journey also includes a Master’s degree in Computer Science and Multimedia Information Processing Systems from the University of Rouen (2010) and a Bachelor’s degree in Computer Science and Multimedia from ISIMS (2009). Her research interests pattern recognition, machine learning, computer vision, and data quality assessment. Dr. Ammar has published in high-impact journals such as Expert Systems with Applications, IEEE Sensors Journal, Applied Soft Computing and Information Fusion, contributing over 20 peer-reviewed articles and conference papers. She is a regular participant in international conferences, including ICCCI, KES, and ATSIP, and has served on program committees and as a reviewer for prestigious journals like Pattern Recognition and Information Sciences. She has also co-authored a book and a book chapter. In 2018, she holds a national patent for the “Al Mourafek” device, a semantic analysis tool for automated locomotion, and in 2020, Dr. Ammar co-founded Smart Aid Technologies (SATech), a startup recognized under Tunisia’s Startup Act, aimed at developing innovative assistive technologies. Since 2018, Dr. Ammar has served as an Assistant Professor at Enet’Com and later as an Associate Professor at ISIMS, where she has supervised numerous doctoral and master’s students. Her international collaborations include partnerships with institutions such as IMT Atlantique-Brest (France), McMaster University (Canada), and Technische Universität Chemnitz (Germany). She has been actively involved in funded research projects, including the Multimodal Biometric Platform for Counter-Terrorism (2016–2019) and an ongoing intelligent platform for combating authentication fraud (2023–2025). Dr. Ammar’s contributions to academia, research, and innovation reflect her commitment to advancing technology for societal impact, particularly in assistive systems and biometric security.

Associate Professor at the Higher Institute of Computer Science and Multimedia of Sfax, I received the HDR degree in Computer Science, from the Sfax University, Tunisia in 2024. I received my PhD degree in Computer Science from the university of Nantes, France in 2010. I am also a member of the SM@RTS Laboratory at the CRNS. I am interested in Artificial Intelligence and Machine Learning.

Yousri KESSENTINI is Associate Professor at the Digital Research Center of Sfax (CRNS) and the head of the DeepVision research team. He received his Ph.D. degree in the field of pattern recognition from the University of Rouen, France in 2009. He was postdoctoral researcher at ITESOFT company and LITIS laboratory from 2011 to 2013. He is certified as an official instructor and ambassador from the NVIDIA Deep Learning Institute. His main research areas concern deep learning, document processing and recognition, data fusion, and computer vision. He has participated in several research projects and technology transfer projects. He has published more than 60 papers in international conferences and journals. He is also a reviewer for several international conferences and journals in the field of pattern recognition and computer vision.

TODO

Ahmed Rekik received the Ph.D. degree in Computer Science in 2016, from the University of Sfax, Tunisia. In 2017, he was a Postdoctoral Researcher at the Digital Research Center of Sfax. He is currently a Senior Researcher in Computer Science at the Digital Research Center of Sfax and an Assistant Professor at Gafsa University. His research interests include computer vision, image processing and analysis, and visual speech recognition.

Aicha Idriss Hentati is an assistant professor at Computer Science and Multimedia Higher Institute of Sfax (ISIMS), Tunisia. Her scope of research is communications related to UAV-based systems and collaborative networking with complex operations and high levels of independence. The main objective of her Ph.D. research project is the design and validation of a collaborative inter-UAVs system for autonomous tracking of intruders.

Bilel GASSARA: Dr-Engineer in Electrical Engineering, assistant professor at the National School of Electronics and Telecommunications of Sfax (ENET'COM) and researcher at the Digital Research Center of Sfax (SM@RTs laboratory) with 20 years of experience in engineering, teaching and scientific research.

Fahmi Ghozzi received his Ph.D. degree in electronics from IXL laboratory, university Bordeaux1, France, in 2004. He is member in the Laboratory of signals, systems, artificial intelligence and networks (SM@RTS). He is currently an assistant professor at the University of Sfax in Tunisia. His research interests include specific architectures for image processing and video coding, and hardware/software implementation on FPGA target.

She received a PhD degree in Information Technology Systems Engineering from the National School of Engineers of Sfax (ENIS). She is an assistant professor at the Digital Research Center of Sfax (CRNS, Tunisia). Her research focuses on cyber security and network management through the design and implementation of innovative methodologies. Her research interests include IoT networks, network management, security systems, network security and machine learning. She is certified ISO/IEC 27001 Lead Auditor and Lead Implementer.

Houda Chaabouni received her engineering degree from Tunisia Polytechnic School in 2004, her M.Sc. degree from SupElec Paris in 2005 and her Ph.D degree from Télécom ParisTech in 2009. She has carried out postdoctoral researches in the German Aerospace Center (DLR) in 2009 and in the CRNS in 2018. From 2012 to 2018, she was senior consultant in the R&D departments of BMW and Audi (2012-2018) in the field of Advanced Driver Assistance Systems (ADAS). She was also a computer vision researcher at Udini (2020-2022). Since November 2022, she is assistant professor at the Digital Research Center of SFax.

Ilef Ben Slima received her engineering diploma in Computer Science in 2013 from the National Institute of Applied Science and Technology (INSAT) and her PhD degree from the University of Manar Tunis in 2019. She is currently an Assistant Professor at the University of Kairouan (ISMAIK). She is also an Associate Researcher at the Digital Research Center of Sfax (CRNS) and a member of SM@RTS laboratory, Tunisia. Her research interests center around machine learning methods and their application in various domains, including mental health, human activity recognition, and Cheminformatics. Her work particularly focuses on ensemble methods and the interpretability of machine learning models.

Euchi Manel is currently an Assistant Professor at the Digital Research Center of Sfax (CRNS). She received a Ph.D. in Computer Systems Engineering in December 2017 from the National School of Engineers of Sfax (ENIS). She obtained her Engineering degree in 2009 and a Master’s degree in New Technologies of Dedicated Computer Systems in 2012, both from the National School of Engineers of Sfax. She has authored more than 10 research papers. Her current research interests include the Internet of Things (IoT) and embedded systems.

Mouna Ben Said earned her degree in Computer Engineering from the National School of Engineers of Sfax (ENIS) in 2009. In 2010, she completed a Master's degree in New Technologies and Dedicated Computer Systems, also at ENIS. She obtained her Ph.D. in Computer Systems Engineering from the same institution in 2016. Her research primarily focuses on self-adaptive real-time systems and model-driven engineering. Currently, she is expanding her work into new domains, specifically the application of artificial intelligence in agriculture and software testing.

Mouna DAMMAK received the Ph.D. degree in Computer Science in 2016, from the University of Sfax, Tunisia. In 2017, she was an assistant Professor and Senior Researcher in computer science at the Digital Research Center of Sfax. Her research interests include computer vision, image processing and analysis, and artificial intelligence

Rihab JMAL is an assistant professor of computer science at University of Sfax, and a researcher at SMA@RTS Laboratory belonging to the Digital Research Center of Sfax (CRNS), Tunisia. She worked as Project Advisor from September 2019 to February 2021 at Sfax Technopark, her main mission was to collaborate with international partners in setting up projects proposal and participate to international funding programs (H2020). She received the PhD degree in Computer Systems Engineering from University of Sfax in 2018. During her PhD studies, she carried out two internships: the first was at INRIA Sophia Antipolis and the second was at IMT Atlantique Rennes, France. Her research interests include new technologies related to telecommunications networks. Especially, she focuses on Next Generation Networks, Software Defined Networking, Information Centric Networks, Internet of Things and Network slicing. She is the author and co-author of several international articles and has been a reviewer for various international conferences and journals.

Dr. Rihab Maaloul is an Assistant Professor of Computer Science at the Higher Institute of Computer Science of Mahdia, University of Monastir, Tunisia. She is also a researcher at the Digital Research Center of Sfax (CRNS), affiliated with the SM@RTS Laboratory (Signals, systeMs, aRtificial Intelligence, neTworkS). She earned her PhD in Computer Science from the National Engineering School of Sfax (ENIS) in 2018, with a dissertation focused on energy-aware routing in carrier-grade Ethernet networks. Dr. Maaloul’s research interests include green networking, software-defined networking (SDN), and the application of machine learning techniques to optimize the performance and efficiency of 5G and 6G communication networks. She has authored numerous publications in peer-reviewed journals and conferences, covering topics such as energy-efficient mechanisms, intelligent resource allocation, and sustainable network design. Her ongoing work is dedicated to developing scalable, AI-driven solutions that address the evolving challenges of next-generation communication systems.

She was born in Tunisia, in 1980. She received the engineer diploma from Ecole Supérieure des Communications de Tunis (Sup'Com), Tunisia in 2004. She received the master degree from l'Ecole Nationale d'Ingénieurs de Sfax (ENIS), Sfax, Tunisia in 2006. She received the Ph.D. degree from Sup'Com in 2012. From 2004 to 2006, she was a research student at l'Institut Supérieur de l'Electronique et de Communication de Sfax (ISECS), Sfax, Tunisia. From 2006 to 2012, she was an assistant at l'ISECS. From 2012, she was an assistant professor at Ecole Nationale d’Electronique et des TéléCOMmunications de Sfax (ENET’COM). Her research focuses on radiative transfer theory and its application to vegetation covers, particularly for retrieving biophysical properties using optical remote sensing techniques.

Wael Ouarda is an assistant professor of computer science at the Digital Center of Research of Sfax. He received his Ph.D. degree in computer science from the National School of Engineering of Sfax in 2017. He is an active member of the Institute of Electrical and Electronics Engineers (IEEE) since 2012. Wael Ouarda is interested in intelligent systems that operate in large and known domains like Natural Language Processing (NLP), Computer Vision, and Business Intelligence. Most of his research centers around techniques for decision-making. He believes that finding good solutions to these problems requires approaches that cut across many different fields and, consequently, his research draws on areas such as artificial intelligence, decision theory, and operations research. Applications of his research focus on Smart City: Smart Life & Smart Health & Industry 4.0 & Smart Security & Smart Transportation.

Amira Henaien is a Researcher Member at the SM@RT Lab (CNRS Digital Research Center, Sfax), specializing in Internet of Things (IoT), Digital Transformation, Machine Learning, and Security. She earned her Ph.D. in Computer Science from the University of Lorraine, France, in 2015. Amira's extensive research focuses on innovative IoT solutions integrated with advanced machine learning, robust security frameworks, and the intersection of formal methods and security. Additionally, she actively develops IoT-related educational software aimed at enhancing learning experiences in computer science education. Her contributions have appeared in top-tier international journals and conferences, addressing IoT-based solid waste management, TinyML-enabled smart parking, RFID security architectures, ontology-based healthcare monitoring, and certified formal reasoning. Amira also serves as a peer reviewer for renowned scientific journals and conferences globally.