Organized by:

• Prof. Fatima Zahra Mhada, Mohammed V University, Morocco; fatima-zahra.mhada@ensias.um5.ac.ma

Absract :

The Internet of Things (IoT) is essential to Industry 4.0, whether it is in the development of intelligent and collaborative production systems through the use of sensors and tools that allow machines to communicate with one another or in the real-time tracking of products across the supply chain by providing information on the location, condition, and state of each product.

The information gathered from the equipment may be used to make decisions to enhance its performance or to anticipate breakdowns before they happen, which lowers maintenance expenses and downtime. While controlling deadlines and streamlining delivery routes while guaranteeing transit under ideal circumstances are made possible by the data gathered from the location and conditions of the delivered items.

This session's goal is to examine how Industry 4.0 uses IoT technology to save costs and provide real-time insight over shipments, inventories, and logistical operations. Thanks to items that are linked.

Topics under this session include (but not limited to) :

• Automation
• Preventive maintenance
• IoT and real-time tracking
• IoT and process optimization
• Smart factory
• Intelligent transport and logistics

Organized by:

• Prof. Ghizlane BENCHEIKH, Moulay Ismail University, Morocco; g.bencheikh@umi.ac.ma
• Prof. Ghita BENCHEIKH, CESI Ecole d’ingénieurs, France; gbencheikh@cesi.fr
• Prof. Yousra EL KIHEL, CESI Ecole d’ingénieurs, France; y.elkihel@cesi.fr

Absract :

This thematic session focuses on the combined use of intelligent multi-agent systems (MAS) and metaheuristics to enhance the operational management of supply chains. MAS provide a natural framework for modeling autonomous entities capable of perception, decision-making, and interaction in uncertain environments. When combined with powerful metaheuristic algorithms— such as genetic algorithms, ant colony optimization, or particle swarm optimization—they enable the design of robust, adaptive, and distributed problem-solving systems.

This session welcomes contributions on topics including, but not limited to:

• the modeling and simulation of logistics systems using MAS,
• the development of hybrid MAS-metaheuristic approaches,
• optimization in distribution, production planning, transportation, and warehouse management,

The session aims to foster dialogue between researchers and practitioners around intelligent and innovative solutions for operational logistics management.

Organized by:

• Prof. Evren Sahin, Université Paris Saclay - CentraleSupélec, France; evren.sahin@centralesupelec.fr
• Prof. Youssef Meliani, Université Savoie Mont Blanc, France; youssef.meliani@univ-smb.fr

Absract :

Real-time simulation, data-driven analytics, and digital-twin technologies are converging to transform supply-chain and operations management. These complementary approaches fuse live data, advanced optimisation, and immersive modelling to create cyber‑physical mirrors of entire, multi-tier networks—allowing decision-makers to test scenarios, predict disruptions, and optimise performance across the value chain. This special session welcomes research and industrial contributions that demonstrate how such adaptive models enhance planning, execution and continuous improvement across the supply-chain from strategic network design and S&OP planning through inventory and capacity management, logistics orchestration, manufacturing and reverse logistics.

We particularly encourage submissions that explore digital twins, data‑driven analytics, and real‑time simulation—individually or in combination—. Papers should provide quantitative evidence of value creation in efficiency, resilience, performance, human‑centric decision support, or environmental performance. Case studies, methodological contributions, architecture frameworks, and benchmark datasets are all in scope. Contributions that span multiple supply-chain stages or demonstrate end-to-end integration are encouraged. We likewise welcome other adaptive modelling paradigms—beyond the examples listed—that contribute to proactive, data‑driven supply-chain decision making.

Topics may include, but are not limited to

• Data-driven planning & forecasting ‒ Real‑time demand sensing, AI-powered forecasting, S&OP support, and scenario-based planning within digital-twin, data-driven, or real-time simulation environments.
• Inventory ‒ Multi-echelon inventory control, dynamic stock sizing, and capacity allocation using data driven, digital twin, or real time optimisation and simulation.
• Real-time resilience analytics ‒ Continuous risk monitoring, disruption detection, and proactive mitigation through twin-based “what-if” exploration and control.
• Coordination & collaboration via networked digital twins ‒ Interoperability standards, governance models, stakeholder roles, and decision alignment across supply-chain tiers.
• Circularity & reverse logistics ‒ Design and orchestration of end-of-life recovery, remanufacturing and recycling using data twining for the circular economy.
• Execution & operational control ‒ Real‑time scheduling, transport routing, warehouse operations and human-in-the-loop dashboards leveraging adaptive modelling environments.

Organized by:

• Prof. FIKRI MAJDA, ENCG- Agadir, Morocco; majdafikri@yahoo.fr

Absract :

Efficient supply chain management requires close coordination between production activities and distribution operations. This thematic session focuses on research and case studies addressing the joint optimization of production and distribution, aiming to reduce overall costs, improve lead times, and increase responsiveness to demand.

The session highlights integrated approaches that simultaneously handle decisions related to scheduling, production planning, resource allocation, and the organization of delivery routes. Contributions may include mathematical models, heuristic and metaheuristic methods, hybrid algorithms, as well as practical applications across various industrial sectors.

The goal is to promote systemic and innovative solutions capable of meeting today’s industrial logistics challenges and enabling smooth, optimized management of physical and informational flows.

Organized by:

• Prof. Sorin Eugen ZAHARIA, PhD, Director of Department UNESCO, National University for Science and Technology Politehnica Bucharest; sorin.zaharia@gmail.com
• Prof. Adina Petruta PAVEL, PhD, National University for Science and Technology Politehnica Bucharest,
• Prof. Adina Roxana MUNTEANU IORDACHE, PhD, National University for Science and Technology Politehnica Bucharest,
• Cristian PARIS, General Director, Menzies Aviation

Absract :

The air transport industry is one of the most “global” industries because it includes a network of airlines, commercial airports, air navigation service providers and manufacturers of aircraft and their components. Globalization and liberalization of air transport have had profound implications for the air transport industry, not only from the demand side, where important changes have occurred, but also from the supply side, where the coordination of international policies by governments and the private sector has had a significant effect on the industry.

The main trends in air transport development are: digitalisation, sustainable development, new materials and technologies, new management, new training and education – new knowledge and skills. The factors reshaping the air transport are: AI and digital transformations, airport city and smart airport concept, advanced air mobility, safety and security, global economic outlook and global labour market, increasing focus on sustainable development, increasing focus on societal respondsability and evolving expectations of the workforce.

The economic benefits of aviation extend far beyond the direct impact of the industry. Indirect effects include the jobs and economic activity generated by aviation industry suppliers: fuel suppliers, construction companies that develop airport facilities, suppliers of components used by aircraft, manufacturers of goods sold at airports, and a wide variety of business service sector activities (such as call centers, information technology, and accounting).

The purpose of the section is to analyze how new trends, especially digitalization and sustainable development, influence the development of air transport, related logistics and international regulations in the field.

The section will analyze the evolution of passenger and cargo air transport, the development of sustainable airport infrastructure, new business models, new technologies and how they influence the management of aviation service providers as well as the optimization of airport operations and ground handling operations. The evolution of emerging occupations and qualifications as a result of the implementation of digital technologies, artificial intelligence and sustainable development will also be addressed.

The topic of this section will be:

• Sustainable air transport
• Aviation 4.0; Digitalisation of air transport and ground handling
• Green airport ground handling
• Passenger and cargo air transport development
• Business models for air transport and logistics
• Training and education for professionals in air transport and logistics.

Organized by:

• Prof. Naoual Chaouni Benabdellah, Mohammed V University, Morocco; naoual.chaouni_benabdellah@ensias.um5.ac.ma

Absract :

Education is a domain that increasingly relies on digital transformation and effective process management. To drive meaningful and sustainable progress, ongoing research and development are crucial. Emerging technologies—particularly in artificial intelligence—play a key role in supporting these efforts. Fields such as data science, generative AI, software engineering, cybersecurity, process optimization, computer vision, algorithm design, and recommendation systems are shaping a new era of education aligned with the goals of sustainable development.

• AI-Driven Personalization
Adaptive learning systems, Intelligent tutoring systems, Learner profiling and customization, Personalized feedback and assessment
• Natural Language Processing (NLP) in Education
Automated essay scoring, Text simplification for language learning, Chatbots for student support, AI for automatic question generation
• Learning Analytics and Educational Data Mining
Predictive analytics for student success, Dropout risk detection, Student behavior modeling, Learning pathway analysis
• Assessment and Evaluation
AI for formative/summative assessment, Plagiarism detection, Peer assessment using AI tools, Competency-based evaluation systems
• Generative AI in Education
Use of large language models (e.g., ChatGPT) for learning assistance, AI-generated instructional content, Ethical use of generative tools by students and educators
• AI in Educational Content Creation
Curriculum design using AI, Auto-generation of quizzes and assignments, AI-enhanced multimedia and simulations
• Gamification and VR/AR with AI
AI-controlled learning environments in VR, Real-time feedback in AR simulations, and Intelligent game-based learning strategies
• AI in Education Governance and Administration
AI for academic scheduling and resource allocation, Intelligent decision support systems, Policy and ethical frameworks for AI deployment
• AI for Inclusive and Accessible Education
Assistive technologies (speech-to-text, text-to-speech), AI for learners with disabilities, Multilingual support and translation tools
• Ethical, Legal, and Societal Implications
Bias and fairness in educational AI, Transparency and explainability, Student data privacy and consent, man-AI collaboration in education
• AI Models and Architectures in Education
Use of transformer models (e.g., BERT, GPT) in edtech, Reinforcement learning in intelligent agents, Neural networks for learner modeling
• Interoperability and Scalability
Integration of AI tools with LMS platforms (e.g., Moodle, Canvas), Scalable AI infrastructure for education systems, Open-source frameworks for educational
• Optional Track Themes (for broader relevance)
AI in STEM education, AI for lifelong learning and workforce training, Cross-cultural studies on AI use in education, AI and digital literacy for educators and learners

Organized by:

• Prof. Karima Moumane, Maître de conférences habilitée, ENSIAS, Université Mohammed V de Rabat, Maroc; karima.moumane@ensias.um5.ac.ma
• Prof. Rharoubi Ilham, Laboratoire d'Etudes et de Recherches en Sciences Economiques et de Management (LERSEM), Équipe de Recherche en Innovation et Management des Organisations, FSJES CUAM, Université Ibn Zohr, Agadir
• Prof. Younes BOUMAAZ, Enseignant chercheur à l'ENCG de Settat, Université Hassan Premier

Absract :

The digital transformation of international trade and transport systems has become a strategic priority for governments and all logistics stakeholders, aiming to improve the efficiency, security, and resilience of supply chains. This special session will focus on how AI, data analytics, and intelligent information systems can revolutionize trade facilitation and streamline transport operations, especially in developing countries.

The session aims to explore the role of AI in the following areas:

• Improving customs operations and accelerating border management through building AI predictive models and risk-based inspection software;
• Guaranteeing interoperability and facilitating integration of transport and logistics data from and across different platforms (Single windows, port systems, customs systems, etc.);
• Optimizing multimodal transportation and combining different modes of transport by using intelligent transport systems (ITS);
• Decision support in complex supply chains through real-time data mining and digital twins;

This session will particularly welcome contributions from academia and industry on innovative technologies and applied research in the following areas:

• Smart customs systems,
• Digitization of trade corridors
• Risk management in supply chains
• Port logistics intelligence
• AI-based Simulation and Optimization Tools for Trade and Transport.

Organized by:

• Prof. Fatima EL KHOUKHI : Faculty of Arts and Humanities, Moulay Ismaïl University of Meknes, Meknes, Morocco; f.elkhoukhi@umi.ac.ma
• Prof. Ahmed EL HILALI ALAOUI : Euro-Mediterranean University of Fes, Fez, Morocco; a.elhilali-alaoui@ueuromed.org
• Prof. Jaouad BOUKACHOUR : Le Havre-Normandy University, Le Havre, France; jaouad.boukachour@univ-lehavre.fr
• Prof. Hasnae EL KHOUKHI : Faculty of Sciences Dhar El Mahraz, Sidi Mohamed Ben Abdellah University, Fez, Morocco; hasnae.elkhoukhi@usmba.ac.ma

Absract :

In recent decades, limited water resources, hydrological cycle impacted by climate change, increasing demand and rapid urbanization, have forced humanity to think of manners to combat this trend, and pose great challenges to three main factors of water resources distribution: efficiency, equity and sustainability. Thus, the optimization of water resources as well as optimal and smart use, present one of the best ways for the preservation of these natural resources. This consists of planning, developing, and managing water resources to meet various needs while minimizing negative effects on the environment. Therefore, the call of appropriate and advanced optimization techniques can be helpful and efficient in this regard.

Through this special session, we aim to emphasis on the context of water quality, quantity and demand monitoring and preserving systems. Researchers and professionals are encouraged to submit papers highlighting latest and recent research and innovative solutions for present as well as future challenges of sustainable and smart water resources management, as a vital part of sustainable development.

Organized by:

• Prof. Fatima EL KHOUKHI : Faculty of Arts and Humanities, Moulay Ismaïl University of Meknes, Meknes, Morocco; f.elkhoukhi@umi.ac.ma
• Prof. Ahmed EL HILALI ALAOUI : Euro-Mediterranean University of Fes, Fez, Morocco; a.elhilali-alaoui@ueuromed.org
• Prof. Jaouad BOUKACHOUR : Le Havre-Normandy University, Le Havre, France; jaouad.boukachour@univ-lehavre.fr
• Prof. Hasnae EL KHOUKHI : Faculty of Sciences Dhar El Mahraz, Sidi Mohamed Ben Abdellah University, Fez, Morocco; hasnae.elkhoukhi@usmba.ac.ma

Absract :

Sustainable digitalization prioritizes in addition to economical and digital fields, the environmental, energetic and social ones. In fact, a Sustainable Supply Chain (SC) is completed by effectively taking part of environmentally responsible principles on materials sourcing, product design and quality, end-of-life product management and manufacturing logistics. This allows companies and businesses to automate many manual tasks, reduce the time and effort necessary to achieve them, increase productivity, decrease total acquisition and inventory costs, creates opportunities and provide better future insights into different SC stages. And this, by enabling real-time data analysis methods, optimizing decision-making, enhancing communication and visibility, and speeding up and automating practices.

Through this special session, we aim to focus on the context of managing Smart and Sustainable SC in Smart Cities across various urban functions, witch become increasingly an important component of the global SC. Researchers and professionals are encouraged to submit papers highlighting latest and recent research on advanced mechanisms, digitalization processes, optimization and decision support tools, applied to this context.

Organized by:

• Prof. Maria Elena Bruni, University of Calabria, Italy; mariaelena.bruni@unical.it
• Prof. Ioana Bilegan, Polytechnic University of Hauts-de-France, France; ioana.bilegan@uphf.fr
• Prof. Guido Perboli, Politecnico di Torino, Italy; guido.perboli@polito.it

Absract :

There is a growing need to address emerging challenges in transportation and logistics to ensure resilient, efficient, and future-ready mobility and delivery systems.

This special session aims to explore and disseminate recent theoretical advances, technical applications, case studies and results related to the modeling, optimization and resolution of problems on transportation and logistics, highlighting the latest developments to address the evolving complexities in managing the system

We welcome research addressing these critical topics and emerging challenges that are driving the transportation and logistics sector in unexplored directions.

Topics under this session include (but not limited to)

• Resilience and risk management under disruption
• Infrastructure and policy innovations
• Collaborative and decentralized logistics
• Digital transformation in logistics and transportation
• Automated and AI-driven logistics
• Integrated multi-stakeholder systems
• Emerging issues in City Logistics
• Revenue management in logistics and transportation