Rémi Beulque is an assistant professor at Toulouse Business School and an associate researcher at Mines Paris. A former practitioner of the circular economy, he previously held roles in firms such as Schneider Electric, Renault, and Ecomaison, where he worked on recycling and reuse-related topics as a business developer and innovation manager.

He is a member of the Board of Directors of the Association Interdisciplinaire Française de Recherche en Économie Circulaire (AIFREC) and co-leads the scientific committee of Halte à l’Obsolescence Programmée (HOP) and its affiliated business club « Club de la Durabilité ». His academic work focuses on the transition toward more circular and sustainable business models and policies, as well as biodiversity management, and he regularly publishes in both French and international academic journals.

After having described our current linear economy and the challenges it raises, the concept of circular economy is introduced. Related practices and expected benefits will be described. The lecture will then introduce circular policies in Europe and China, and the challenges related to the implementation of such a model in firms. The lecture finishes with the limits of this model. All this lecture is based on a collective research program that began in 2013 in Mines Paris.

Julien Alexandre dit Sandretto is associate professor in the Semantics of Hybrid System team at ENSTA, Palaiseau, France. He is also associate member of the Cosynus team, part of the LIX laboratory at Ecole Polytechnique. He received the Bachelor degree in Applied Mathematics and Computer Science from the University Joseph Fourier, Grenoble, France, in 2002 and the Eng. degree in Industrial Computing and Instrumentation from Polytechnic school of Grenoble, France, in 2006. In 2013, he obtained his Ph.D. degree in Computer Science from University of Nice-Sophia Antipolis, France. In 2023, he obtained the “Habilitation à diriger les recherches” (French accreditation to supervise research) in Mathematics from Institut Polytechnique de Paris. His research interests deal with verification methods in presence of uncertainties. He currently focuses on parameter identification, simulation, modeling and control problems for cyber-physical systems.

We will give an overview of algorithmic aspects of Robotics. We will cover typology of robots and give an overview of the most common sensors (vision, 3D ultrasound, accelerometers, odometry) and present the principle of the Perception-Decision-Action loop, and its various possible architectures (hierarchical vs reactive in particular); We will also cover the various navigation components: control; obstacle avoidance;localization; mapping and planning along with  filteringtechniques (Kalman filter, particle filtering etc ...) used in these areas. 1.Know the hardware used in robotics (sensors, platforms) 2.Understand the principles of robotics software architectures 3.Understand the main navigation algorithms used in robotics (control, localization, mapping, planning).

Keun-Woo LIM is currently an Associate Professor at Telecom Paris, Institut Polytechnique de Paris (IPP), France. He earned his B.A. in English Literature alongside his B.S., M.S., and Ph.D. in Information and Computer Engineering from Ajou University, Korea, completing his doctoral studies in 2014.His research focuses on service-specific wireless networking, IoT, and digital twin technologies, with an emphasis on mobility management, security, and energy efficiency. 

Recent projects include:

Automated crowd management for vehicular networks, optimizing traffic flow using wireless communication.

Energy-efficient visual representation of mobile entities in digital twins, leveraging Ultra-Wideband (UWB) for precise localization and low-power operation.He also explores integrations of data security in wireless applications, ensuring robust and scalable solutions for next-generation IoT systems.

In the world of IoT, wireless communication and networking plays a vital role of realizing a variety of new innovative services and applications. However, we cannot just utilize any kind of wireless standards, each technology has its own purpose, as well as advantages and disadvantages compared to others. This is what allows the IoT to eventually have a multi-tier IoT architecture comprising of multiple communication technologies, and allows interaction between each technology. In this course, we will look into detail some of the specific communication and networking standards used in IoT, especially in the area of WLAN and WPAN. We also look at some of the specific applications that can be realized through these technologies, such as localization. Then finally, we will learn how to utilize some state-of-the-art simulation tools to emulate and delve into the actual coding of these technologies for IoT. Through all these lectures, the students will be able to design their own IoT application, based on the advanced wireless networking systems that we will learn.

Youssef MESRI is a Full Professor at Mines Paris since January 2015, dedicating his efforts to advancing research and education in computational mechanics and data science. As the founder and Director of the Advanced Master in HPC-AI for Industry, he leverages his experience gained during his tenure as a senior researcher at IFP Energies Nouvelles, where he leads a research ream in computing and data-driven approaches for geosciences.Youssef Mesri actively contributes as an expert for European and national agencies. He serves as a guest editor and reviewer for several international journals, and since 2016, he has been an invited professor at Jiao Tong University in Shanghai, teaching Scientific Machine Learning and Numerical Methods for Fluid Mechanics.His research focuses on the design of efficient algorithms on distributed systems to address massive data challenges. As a Principal Investigator on various collaborative projects with industry, Youssef Mesri has played a crucial role in developing software to model and analyze physical phenomena on large supercomputers. His current projects focus on generative AI and energy-aware AI algorithms for physics.

To solve engineering problems, the student used to use a myriad of deterministic approaches covering different scales ranging from microscales with Discrete Methods to macroscale with finite difference/element/volume or spectral methods. This 32h course introduces Machine Learning to engineers as an alternative data-driven approach to deterministic approaches. The student will learn to formalize an engineering problem with Machine Learning, to decide whether it can be solved with machine learning, to decide what type of machine learning approach can be used (supervised, unsupervised) and to define and asses generalization. The student will be able to create and fit their own models including hybrid approaches combining prior knowledge of physics.

Patrice PARICAUD is a full professor of Chemical Engineering at ENSTA. After completing a Bachelor's and Master's degree in Chemical Engineering at the ENSIC engineering school (Nancy, France), he earned a PhD in Physical Chemistry at Imperial College London (UK), followed by a postdoctoral fellowship at Vanderbilt University (Nashville, USA). His research focuses on the modeling of thermophysical properties of mixtures and molecular simulation. He also works on computational fluid dynamics (CFD) and heat transfer modeling. He teaches Chemical Engineering, thermodynamics and heat transfer at ENSTA as well as at various universities (PSL, SPEIT Jiao Tong, etc.).

Industrial heat transfer is very important to today's industry, and it is also a required course for energy majors.The purpose of many applications in the steel, glass manufacturing and petrochemical industries is to transfer heat to the load. This course provides an understanding of heat transfer in reactive streams. The theoretical concepts will be applied to the design and operation of combustion-based heating technology. Students who study this course must first study related physics and chemistry basic courses, and they must be at least the first-year students at the engineer level.At the end of the course, students are required to master relevant heat transfer knowledge and be able to apply it in actual engineering situations.This course not only requires students to master the knowledge of heat transfer, but also exercises their engineering skills.

Johnny DESCHAMPS is Professor of Chemical Physics in the Department of Chemical Engineering at ENSTA Paris. He develops some Metal Organic Framework (MOF) based materials for green hydrogen production by photocatalysis and for hydrogen storage by adsorption. His research activities also are focused on the development of specific and original techniques of porous materials doping by using both metal nanoparticles and carbonaceous materials. He also teaches the “Hydrogen Technology” in several other institutions such as University of Paris Saclay, IFP School,X-Polytechnique, and ENSTA Paris.

Energy storage is accomplished by devices or physical media that store energy to perform useful processes at a later time. Many forms of energy produce useful work, heating or cooling to meet societal needs. This course aims to describe the scientific and engineering fundamentals of the major energy storage methods which include the storage as heat, in phase transitions and reversible chemical reaction, in organics fuels, in mechanical and electrochemical systems, as well as in hydrogen. The hydrogen as an energy carrier allows the use of various primary energy sources that can be continuous (biomass, nuclear,...) or discontinuous (wind or photovoltaic energy). It can be produced from a variety of processes and used directly in combustion engines or in fuel cells. The course will provide the main aspects of hydrogen production and energy recovery to the students. It will be focused on the production, the transport and the storage which represent crucial problems.At the end of this course the students will have acquired a lot of skills on practical and theoretical aspects of the energy storage methods and the Hydrogen Network.

Habibou MAITOURNAM is a Professor at ENSTA  and École Polytechnique, and the Director of IMSIA (Institute of Mechanical Sciences and Industrial Applications). His research focuses on the behavior of inelastic structures under cyclic loadings, including direct cyclic methods, thermomechanical behavior of materials and structures, fatigue life assessment, and process modeling, with extensive applications in the automotive and railway industries. He has supervised over twenty PhD theses in collaboration with industry. He was a Clark B. Millikan Visiting Professor at Caltech (2011–2012) and has received several prestigious awards, including the Plumey Award from the French Academy of Sciences (2009) and the PSA StelLab Award (2018). He has held key academic leadership roles, such as Director of the Mechanics Department at ENSTA Paris and head of the Engineering, Mechanics, and Energetics field at the Institut Polytechnique de Paris doctoral school. He is the author of a comprehensive textbook on inelastic materials and structures, and has published extensively in peer-reviewed journals.

Engineering challenges - whether in physics, mechanics (solids or fluids), chemistry, or other disciplines - rely on mathematical modeling, particularly through differential equations (ODEs and PDEs). This course covers current numerical methods for addressing these problems, enabling efficient simulations of phenomena such as transport, flow, deformation, diffusion, etc.

The objectives of this course are to develop familiarity with the vocabulary, fundamental methods, and approximation techniques of numerical analysis in order to extract both qualitative and quantitative insights. We will begin with the different methods used for finding the roots of systems of nonlinear equations. Topics include the existence and uniqueness of solutions, as well as their convergence and stability.

A central goal of the course is to introduce and analyze a general numerical method for solving PDEs: the Finite Difference Method (FDM). We will compare numerical approximations with the explicit solutions discussed earlier, while developing key concepts such as consistency, stability, and convergence. These methods will then be applied to various equations - for instance, the heat equation - to study their qualitative and quantitative behavior.

The course also provides a rigorous mathematical framework for weak solutions. We will introduce variational formulation as a tool to define and compute weak solutions, which is essential for dealing with more complex PDEs. Finally, we will address hyperbolic problems governed by conservation laws, emphasizing their connection to the transport equation. One of the main objectives here is to develop physically relevant tools for identifying entropy-satisfying weak solutions.

Throughout the course, we will integrate the use of modern AI-assisted tools to design and implement Python-based simulations of the numerical schemes. These simulations will allow students to visualize solutions, test stability and convergence properties, and explore their behavior in both idealized and realistic engineering contexts.

Eva Lafuente is an Assistant Professor at the École polytechnique and a member of the Centre for Research on Contemporary Spain (CREC) at Sorbonne Nouvelle University. She teaches classes on History, Literature and Cinema in hispanic world. Her research focuses on the history of representations and the relationship between text and image in 19th-century Spain, particularly the portrayal of Spanish America in the iberian and colonial press. She is co-director of the ASCIGE workshop on caricature and graphic illustration (Atelier sur le Satirique, la Caricature et l’Illustration graphique en Espagne). She has published Hablar a los ojos (PUZ, Zaragoza, 2021) on Spanish political cartoons and, more recently, Chroniquer la guerre de 1870 (PUR, Rennes, 2025) on the media coverage of the Franco-Prussian War in the international press.

This seminar provides an overview of the major political transformations and cultural movements that shaped Europe in the 19th and 20th centuries. The aim is to understand the historical and cultural issues that led to Europe's modernization, offering a general historical framework illustrated by specific case studies. By analyzing significant events such as the Industrial Revolution, the World Wars, the Cold War, and European integration, along with the artistic and literary expressions that accompanied them, the seminar will delve into the importance of intercultural communication and the cultivation of critical thinking skills.Students will develop specific skills, such as identifying and explaining key events that marked Europe in the 19th and 20th centuries, and will be able to appreciate Europe's cultural diversity through the study of artistic movements and intellectual currents. Additionally, the seminar will emphasize effective intercultural communication in the context of globalization and the development of critical thinking abilities. This will enable students to analyze the impact of historical events more deeply, assess different cultural perspectives, and form their own independent opinions.This seminar is designed to provide students with a better understanding of the historical and cultural dynamics of Europe and the world, laying a solid foundation for their future academic and professional endeavors.