The organizing committee of the International Conference on AI in Systems Engineering (IC-AISE'2025) is pleased to invite you to Beni Mellal, Morocco in 17 and 18 April 2025 to meet researchers from various research laboratories around the world. IC-AISE is a privileged moment of transversal scientific exchanges. During the two days, the IC-AISE will bring together researchers, young researchers, to address issues arising from fields related to the use of artificial intelligence as well as the security of new telecommunications systems (Smart Cities, LiFi technology, Autonomous, and connected vehicle, Energy-efficient small cell networks, automation of security protocols, etc.).

The main objective of this International Conference is to allow interested parties to better discover current advances in fields related to Artificial Intelligence and its applications in different engineering  domain. It will offer specialists the opportunity to establish privileged contacts in the scientific community, in particular with other laboratories and research teams. In addition, this international symposium will allow French-speaking researchers to discuss their work and initiatives; and will be able to give doctoral students the opportunity to gain a broad overview of their field of research and to benefit from a first contact that is both rigorous and benevolent with all the related activities. Finally, it will also be an opportunity to share on the perspectives and projects in progress.

This edition will be held from 17  to 18 April 2025 at FPBM-USMS.

Pr. Said SAFI 

Conference Coordinator and Chair.

Contact: icaise2024@gmail.com

Pr. Miloud FRIKEL 

Vice-Chair

This symposium will focus on the following main axes :

• Artificial Intelligence and Its Applications
• Smart Cities and Intelligent Cars
• Internet of Things (IoT)
• Big Data
• Emerging Telecommunications Networks
• Information Theory and Systems
• Smart and Precision Agriculture
• Signal Theory and Systems
• Computer Security
• Mobile Edge Computing
• Wireless Sensor Networks
• Energy Optimization and Renewable Energy
• Embedded Systems

Image processing plays an essential role in the labelling of images for Smart Cities. Indeed, at the heart of the infrastructure of these smart cities, images captured by surveillance cameras, sensors and drones are often abundant and varied. Image processing, through artificial intelligence and machine learning, not only enables these images to be analyzed in real time to detect crucial information such as traffic, pedestrians, or incidents, but also automatically labels this visual data. These labels or metadata are then used to enrich Smart Cities databases, enabling more efficient resource management, better urban planning, and a proactive response to citizens' needs, thus helping to make cities smarter and more connected. For more details see Workshop.docx

A special session will be organized under the theme "Renewable Energy and Smart Cities"

The renewable energy sector has undergone great changes recently and is gaining more and more importance as it is seen as a practical solution and an operational alternative to a set of challenges and constraints that the world faces in many areas, particularly with regard to the economy, environment and climate. Perhaps the increasing demand, environmental constraints, increasing use of polluting fossil energy sources, technical problems and associated technological development, stimulate scientific and technical research to the need to research new operational and business models, as well as advanced infrastructure and modern technological means that keep pace with this important sector and help establish smart cities integrating electronic design, embedded systems, personal skills for solutions smart technologies, ICT, renewable energies, etc. Smart cities are built on smart infrastructure that integrates technology-based services, social learning and targets governance and institutional improvement.

Biography : Dr. Christophe ROSENBERGER is a Full Professor in computer science at ENSICAEN - Director of the GREYC research lab, France.

Christophe Rosenberger obtained his PhD in Information Technology from the University of Rennes 1 in 1999. His PhD thesis work was undertaken at ENSSAT in Lannion between 1996 and 1999 in the field of hyperspectral image processing. He joined the ENSI de Bourges school of engineering in Bourges (known now as INSA Centre Val de Loire) as associate professor in 2000. In 2007, he joined the ENSICAEN school of engineering in Caen as full professor. He is actually director of the GREYC research lab composed of 180 members. He belongs to the SAFE (Security, Architecture, Forensics, biomEtrics) research group in the GREYC research lab. His current work focuses in the domain of cybersecurity, in particular research activities in biometrics (keystroke dynamics, soft biometrics, evaluation of biometric systems, fingerprint quality assessment…) and digital forensics. He has authored or co-authored over 200 international publications and co-supervised 25 PhD thesis.

Title :   AI for Biometrics

Biography : Dr. Mohammed MSAAD was educated at the EMI (Ecole Mohammadia d’Ingénieurs) where he held an assistant professor position in September 1978. He started his research activities at the LEESA (Laboratoire d’Electronique et d’Etude des Systèmes Automatiques) where he prepared an engineering thesis on the adaptive control of industrial phosphate drying furnaces at the OCP (Office Cherifien des Phosphates) In November 1982, Mohammed MSAAD joined the LAG (Laboratoire d’Automatique de Grenoble) to prepare a PhD thesis of the INPG(  Institut National Polytechnique de Grenoble, on the fundamental features of the adaptive control and its applicability, which he obtained in April 1987. In April 1988, he held a research position at the CNRS (Centre National de Recherche Scientifique) with an affectation in the LAG. In September 1996, Mohammed MSAAD held a professor position at the ENSICAEN (Ecole Nationale Supérieure d’Ingénieurs de Caen) where he founded a control process laboratory in 1997 which became a control group at the GREYC UMR CNRS in January 2004. He had several important scientific and collective responsibilities, namely the director of the GREYC UMR CNRS from January 2012 to Marsh 2016. Since September 2022, Mohammed MSAAD is Emeritus Professor attached to the Systems Engineering Laboratory of Caen.

The research activities of Mohammed M’SAAD are mainly devoted to the fundamental, methodological and applied features of the identification, observation and control of dynamical systems. This leads to two contributions to system engineering. The first one consists in an adaptive predictive partial state modal control approach that has been successfully used in several industrial applications. The second one is an engineering framework for the high gain observer design after four fruitful decades of a fundamental research activity to handle the crucial problems, namely unknown inputs, unknown parameters, arbitrary long time-delay, noise measurement sensitivity and peaking phenomena.

Title :   An Ingenious Tribute to Kalman Estimation

Biography : Dr. Miloud FRIKEL is an Associate Professor at National Graduate School of Engineering and Research Center (ENSICAEN), and head of SATE's Department (Embedded Systems and Control), and he is the Deputy-Director of the Systems Engineering Lab of Normandy (LIS).

Sine 2008, Miloud FRIKEL is an Associate Professor at National Graduate School of  Engineering and Research Center (ENSICAEN), and head of SATE's Department. From 2003 to 2008, he was with the R&T (Networks and Telecommunications) Department of the IUT of Caen (Normandy University).

 From 1998 to 2000, Dr. Frikel was with the Signal Processing Lab, Institut for Systems and Robotics, Institute Superior Tecnico, Lisbon, as a researcher in the field of wireless location and statistical array processing. And from 2000 to 2003, he worked in the Institute for Circuit and Signal Procesing of the Technical University of Munich, Germany. M. Frikel is member of German Foundation : Alexander von Humboldt Stiftung.

Title :   Artificial Intelligence: Algorithmic Approaches and Scientific Applications

Biography : Dr. Yassine Sadqi received his MSc and his PhD in Computer Science with a focus on computer security from Ibn Zohr University, Faculty of Sciences Agadir, Morocco, in 2012 and 2015, respectively. From 2017 to 2021, he was an Assistant Professor at Sultan Moulay Slimane University. As of February 2021, he become an Associate Professor. Dr. Sadqi’s is the vice-president of the African Research Center of Information Technology & Cybersecurity. He is a Senior Member of the IEEE, ACM Professional Member, and a Member of OWASP. Dr. Sadqi has made contributions in the fields of Web security, authentication protocols, network security, and cybersecurity. He has published several peer reviewed research articles in international journals, book chapters, and conferences/workshops. Furthermore, He has served and continues to serve on executive and technical program committees and as a reviewer of numerous international conferences and journals.

Title : AI in Cybersecurity: A Game Changer for Attackers and Defenders.