IC-AISE'2024 program

The organizing committee of the International Conference on AI in Systems Engineering (IC-AISE'2024) is pleased to invite you to Beni Mellal, Morocco in 25 and 26 April 2024 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 engeneering  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 25  to 26 April 2024 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. Mohamed M'SAAD  He was educated at the Ecole Mohammadia d’Ingénieurs where he held an assistant professor position in September 1978. He started his research activities at the Laboratoire d’Electronique et d’Etude des Systèmes Automatiques where he prepared an engineering thesis of the Université de Mohammed V on the adaptive control of industrial processes. In November 1982, Mohammed M’SAAD joined the Laboratoire d’Automatique de Grenoble to prepare a PhD thesis of the 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 Centre National de Recherche Scientifique with an affectation in the Laboratoire d’Automatique de Grenoble. In September 1996, Mohammed M’SAAD held a professor position at the 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. His main research activities are mainly devoted to the fundamental, methodological and applied features of the identification, observation and adaptive control of dynamical systems. He had several important scientific and collective responsibilities, namely the director of the GREYC UMR CNRS from January 2012 to Marsh 2016.

Title : Control System: An engeneering Panorama

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 :    Spatial Diversity for Parametric Separation of Seismic Waves

Biography : Dr. Mathieu Pouliquen received his Engineering degree from the Ecole Nationale Superieure d'Ingenieurs de Caen, France, in 2000, then the PhD in Automatic Control from the University of Caen, in 2003. He was appointed Assistant Professor at the University of Caen in 2004, since 2021 he is Full Professor. He is a Researcher at the LIS laboratory and his research interests include linear and nonlinear system identification.

Title : Identification of dynamic systems from binary measurements, some solutions.