Special Sessions

The goal of special sessions is to provide focused discussions on new topics or innovative applications. Each potential organizer is asked to submit a proposal including session title, session summary, session topics, session keywords and organizer's name.

Each prospective organizer(s) must submit a proposal including session title, session summary, session topics, session keywords and organizer(s) name.

To sumbit your proposal, please fill in the form below.

Title of the session: Optimization of Healthcare Management Systems

           Organizers:

Dr. Yassine Ouazene 

University of Technology of Troyes (UTT) 

Prof. Mourad Boudhar 

University of Science and Technology Houari Boumediene


Prof. Farouk Yalaoui

University of Technology of Troyes (UTT) 

As part of the ICCITX.0 2024 conference in Rabat during September 22nd-24th, 2024, we are organizing a special session on the optimization of Healthcare Management Systems. We have the pleasure to invite you to participate to it.

Session Abstract:

The hospital’s logistics function is complex; it manages the flow of products and very different distribution channels and constraints and meets strict safety and traceability. Healthcare is one of the sectors that can offer many practical application challenges to the optimization and the decision-making community. This special session focusses on applications, algorithms, and decision supports related to healthcare management systems. It aims to provide the public with an overview of current research themes in operational research and statistics applied to the field of health. Additionally, the session aims to stimulate new ideas and interesting discussions on different applications of optimization techniques to healthcare data.

Session topics:

The topics of interest for this invited session include, but are not limited to:

Session keywords: 

Optimization, Healthcare Management Systems, Capacity planning and scheduling.

Title of the session: Advances in Modeling, Optimisation and Emerging Technologies for Healthcare Systems 

              Organizers : 

Prof. Abdelkrim HAQIQ 

Université Hassan 1er de Settat 

Prof. Sam Goundar 

University of Fiji 

Prof. Akhil Jabbar Meerja

 Aurora's Engineering college 

Prof. Parthasarathy Subashini Avinashilingam

School of Physical Sciences and Computational Sciences  

Session Abstract: 

The integration of advanced modeling techniques with emerging technologies has the potential to revolutionize healthcare systems, improving patient outcomes, enhancing operational efficiency, and facilitating innovative approaches to healthcare delivery.

Modeling techniques can help in understanding and predicting health trends within populations, aiding in the development of targeted interventions and policies.

Optimization methods can be employed to allocate healthcare resources efficiently, such as hospital beds, staff, and medical supplies. It can also assist in developing personalized treatment plans, considering individual patient characteristics and available medical resources.

 

The main objectives of this special session are :

1.     Highlight recent developments in healthcare system modeling and optimisation,

2.     Explore the integration and impact of emergent technologies in healthcare systems,

3.     Discuss practical applications, challenges, and future directions related to the topics of this special session.

Session topics:

The topics of interest for this session include, but are not limited to:

Session keywords: 

Healthcare Systems, Modeling, Optimisation Approches, Simulation, Blochchain Technology, Artificial Intelligence, Big Data, Security, Internet of Things. 

Title of the session: Health and Technology: Advanced Optimization Methods 

              Organizers : 

Prof. Maria Zemzami

Mohammed V University, Rabat, Morrocco

Dr. Nhan-Quy Nguyen 

University of Technology of Troyes (UTT) 

Session Abstract: 

The rapid evolution of technology and the increasing amount of data available in the healthcare sector have opened up vast opportunities for the application of advanced optimization methods. This special session focuses on the most innovative and effective solutions related to the integration of technology and optimization in healthcare management systems.

We aim to provide an overview of current research themes in the fields of operations research, statistics, and technology, specifically as they apply to the health domain. The session will foster discussions on diverse applications of advanced optimization techniques within healthcare data management, interoperability, and analysis.

Session topics:

The topics of interest for this session include, but are not limited to:

Session keywords: 

Healthcare, Technology, Advanced Optimization Methods, Innovative approaches, Emergency management optimization, Interoperability solutions.

Title of the session: Technological Applications Based on Heuristic and Metaheuristic Approaches.

              Organizers : 

Prof. Achraf Jabeur TELMOUDI

University of Tunis 

Prof. Habib CHERIF

Session Abstract: 

The special session on “Technological Applications Based on Heuristic and Metaheuristic Approaches” aims to bring together researchers, experts, engineers, software developers working on the application of optimization techniques combining the original objective and (some of) the constraints in various technological domains. In this context, it is important and necessary to develop new optimization tools based on a better consideration of specificities of innovative technologies to respond to major societal and environmental challenges. The focus will be on heuristic and metaheuristic approaches, mainly with non-linear and non-convex natures, in a reasonable time and especially with bilevel optimization under uncertainty, exploring their challenges, opportunities, and outcomes in contexts such as robotics, industrial systems, smart-grids, electric vehicle, cyber-physical systems, logistics and supply chain management, telecommunications, etc.

Session topics:

The session topics cover a range of applications where optimization techniques play a crucial role, showcasing the diverse and impactful applications of heuristic and metaheuristic approaches in technology domains:

Session keywords: 

Optimization Techniques, Real-time Optimization, Heuristic Methods, Metaheuristic Approaches, Modeling and Optimization Strategies, Energy Optimization, Smart Grid Design, Trajectory Optimization in Robotics, Manufacturing Processes, Electric Vehicles, Communication in IoT Networks.

Title of the session: Optimization of Industrial Systems

              Organizers : 

Prof. Dorsaf Daldoul 

École Nationale d'Ingénieurs de Bizerte 

Prof. Nadia Bahria 

University of Tunis El Manar

Prof. Issam Nouaouri 

FSA de Béthune, France

Session Abstract: 

The conference session on "Optimization of Industrial Systems" delved into the multifaceted realm of enhancing efficiency and productivity in industrial settings. This session encapsulated an array of vital themes within the field, including optimization algorithms, supply chain efficiency, lean manufacturing, energy conservation, data analytics, industrial automation, and sustainability. Experts shared cutting-edge strategies, technologies, and real-world case studies, demonstrating how these optimization techniques are revolutionizing industrial operations. In a world where efficiency and sustainability are paramount, this session provided a snapshot of the latest advancements and their far-reaching implications for industry.

Session topics:

Session keywords: 

Optimization, Industrial systems, Supply chain, Lean manufacturing, Energy efficiency, Data analytics, Sustainability, Logistics, Big data, Industry 4.0, Environmental impact, Quality control, Maintenance, Digital Twin, Emerging technologies.

Title of the session: Optimization of Intelligent Scheduling problems in a Smart Factory

            Organizers : 

Prof. Reza Tavakkoli-Moghaddam 

University of Tehran 

Dr. Mohammadmohsen Aghelinejad

Université de Technologie de Troyes UTT   

Session Abstract: 

The optimization of intelligent scheduling dilemmas within a Smart Factory encapsulates a strategic fusion of advanced technological paradigms and operational efficiency. Smart Factories represent an evolution in manufacturing, intertwining digitalization, automation, and interconnected systems. Smart Factory systems leverage advanced technologies like IoT (Internet of Things), AI (Artificial Intelligence), and robotics, transforming traditional manufacturing processes. The scheduling challenges within such environments involve intricate interdependencies, including machine capabilities, task prioritization, resource allocation, and real-time adjustments. This session aims to present a comprehensive analysis of various intelligent scheduling algorithms and optimization techniques tailored to the unique demands of Smart Factory operations. It explores the effectiveness of approaches such as machine learning, genetic algorithms, and hybrid methodologies in devising schedules that enhance production efficiency, reduce downtime, and mitigate operational bottlenecks. Additionally, it scrutinizes the adaptation of Industry 4.0 principles to smart scheduling strategies, emphasizing adaptability and responsiveness in dynamic manufacturing settings.

Session topics:
The topics of interest include, but are not limited to:

Session keywords: 

Intelligent scheduling; Optimization Techniques; Smart Factory; Industry 4.0; Production Efficiency; Scheduling Algorithms; Real-time Adaptability.

Title of the session: Optimization and Modeling for Enhanced Performance in the Context of Industry 4.0 in Healthcare

              Organizers:

Prof. Lamia Hammadi  

Chouaïb Doukkali University of El Jadida, Morocco 

Prof. Eduardo Souza de Cursi 

INSA de Rouen 

Prof. Bassma Jioudi

Ecole Marocaine des Sciences de l'ingénieur  

Session Abstract: 

In the wake of Industry 4.0, the healthcare industry has seen a profound transformation driven by advanced technologies like the Internet of Things (IoT), Artificial Intelligence (AI), blockchain, and robotics. These innovations have not only revolutionized healthcare processes but have also paved the way for substantial improvements in performance and efficiency. This conference session will provide an in-depth exploration of how Industry 4.0 technologies, coupled with optimization, modeling, and resource workflow enhancements, are reshaping healthcare for the better. 

Session topics:

Session keywords: 

Industry 4.0, Hospital Supply Chain 4.0, IoT in Healthcare, Artificial Intelligence, Digital Twin, Big data, Modeling and Simulation, Flows Optimization, Emergency Supply Chain. 

Title of the session: Artificial intelligence and healthcare innovation 

              Organizers:

Prof. Lionel Amodeo

University of Technology of Troyes (UTT) 

Prof. Mohamed-Es-Sadek

Mohammed V University

Prof. Gonzalo Mejía

University of La Sabana, Bogotá, Colombia

Session Abstract: 

Nowdays, Artificial intelligence (AI) technologies are increasingly prevalent in healthcare. AI innovations have the potential to transform many aspects of patient care and administrative processes.

In this context, the objective of this session is to present the latest research which shows the interest in the use of artificial intelligence in the field of health.

Session topics:

The topics of interest for this session include, but are not limited to:

Session keywords: 

Artificial Intelligence, Machine learning, Deep learning, Reinforcement learning, healthcare.

Title of the session: Les Innovations organisationnelles et/ou Managériales : Quelle place dans la recherche sur l’innovation ?

              Organizers:

 Prof. Nabil Ouarsafi

Université Hassan 1er 

 Prof. Jihane Chaari

ISTEC Business School de Paris

Session Abstract: 

L'innovation est un champ de recherche carrefour. Il se situe à l'intersection de plusieurs spécialités telles que L’Ingénierie, La Recherche & Développement, l'IA, etc. Cette prédominance pour la recherche technologique passe sous silence que l'Innovation est aussi un sujet de prédilection des sciences sociales telles que la Sociologie et le Management. Les Innovations Managériales ou organisationnelles se définissent comme une nouvelle configuration de système sociotechnique pour permettre aux organisations une plus grande croissance dans son domaine. Elles peuvent concerner le choix d'une nouvelle orientation stratégique, une modification de la structure, l'adoption d'un nouveau mode de management, etc. Elles sont plus tournées vers l'intérieur de l'organisation. Par opposition aux innovations technologiques qui sont orientées vers l'extérieur. En l'occurrence, vers les clients, les usagers, etc. Ce champ novateur occupe moins de place dans le débat malgré son rôle fondamental pour comprendre la genèse de l'innovation, le changement qu'elle implique et les difficultés pour fédérer toutes les parties prenantes autour de l'innovation.

Session topics:

Session keywords: 

Innovation Managériale, Lean Healthcare, Disruption, Innovation de rupture, Changement.