A5059886391- Business Process Modeling and Analysis
- Big Data and Business Intelligence
- Service-Oriented Architecture and Web Services
- Public Relations and Crisis Communication
- Semantic Web and Ontologies
- Virtual Reality Applications and Impacts
- Data Quality and Management
- Data Management and Algorithms
- Geographic Information Systems Studies
- Supply Chain Resilience and Risk Management
- Collaboration in agile enterprises
- Information Technology Governance and Strategy
- Facility Location and Emergency Management
- Augmented Reality Applications
- Software System Performance and Reliability
- Diverse Topics in Contemporary Research
- Quality and Supply Management
- Evacuation and Crowd Dynamics
- Scientific Computing and Data Management
- Global Energy and Sustainability Research
- Personal Information Management and User Behavior
- Team Dynamics and Performance
- Time Series Analysis and Forecasting
- Human-Automation Interaction and Safety
- ERP Systems Implementation and Impact
IMT Mines Albi
2015-2025
Laboratoire Génie Industriel
2016-2024
Centre de Génie Industriel
2023-2024
Université de Toulouse
2016-2020
ABSTRACT This article provides insights from the 'Lessons Field' perspective into crisis training using virtual reality (VR). Conventional simulations often involve costly in‐person events, limiting accessibility and effectiveness. VR technology has emerged as a promising alternative to overcome these challenges. delves application of in management training, examining real‐world exercise examples, presenting innovative experimentation. A comprehensive experiment, grounded real‐life...
The increasing frequency and intensity of climate change-related disasters highlight the need to develop adaptive crisis management approaches. This paper explores integration R-IO Suite, a knowledge-based decision support system, with GAMA, multi-agent simulation platform, improve situational awareness response in changing climate. approach enables decision-makers local communities better understand, anticipate, mitigate impacts by combining real-time data modelling predictive simulation....
Critical infrastructures, historical places, and sensitive buildings are vulnerable to crises, from natural man-made disasters. Public institutions practitioners have train, before the occurrence of a major event, be prepared respond crisis. These sites difficult vacate just perform exercises. To propose training adapted needs trainer create an exercise dedicated aimed skills. Stakeholders responding high-risk situations asking for new ways train compensate weaknesses existing approaches....
This article aims at describing an approach to support crisis management. The main idea is use original vision of Big-Data manage the question collaboration issues in response. On one hand, this introduces a general framework that structures methodology applied our approach. includes several technical and business dimensions embeds scientific results are presented or have been described previous articles. other resulting implemented suite tools also with regards conceptual framework....
Abstract Identifying, designing, deploying and maintaining accurate collaborative networks of organizations (e.g. responders in a crisis situation) are key activities nowadays ecosystems. However, there is lack regarding formal approaches dedicated to characterize organizations. Formal descriptions situations, that could be used, transformed, computed exploited would great benefit for the quality such networks. This article presents model‐based AI framework describing situations associated...
An effective crisis response requires up-to-date information. The cell must reach for new, external, data sources. However, new lead to issues: their volume, veracity, variety or velocity cannot be managed by humans only, especially under high stress and time pressure. This paper proposes (i) a framework enhance situation awareness while managing the 5Vs of Big Data, (ii) general principles followed (iii) architecture implementing proposed framework. latter merges event-driven model-driven...
Artificial Intelligence (AI) is currently on top of the hype regarding simultaneously research publications and industrial development. However, current status AI makes it quite far different from understanding Human intelligence. One suggestion that made in this article Model-Driven approaches could be considered as an interesting avenue to complement classical visions provide some missing features. Specifically, use Engineering tools (such metamodel model transformation) benefit domain by...
The availability and quality of the information system supporting crisis management depends on existence up-to-date, comprehensive reliable knowledge bases, despite multidisciplinary nature to be exchanged, actions, decisions taken. This article proposes a method benefit from pre-trained language models automatically update these bases at both design time run time. We offer model-based extraction process dedicated automated validation process. These two contributions are illustrated...
Virtual reality (VR) can be used to train for complex, dynamic and dangerous situations, such as disaster response. The aim of this research is support trainers with an immersive authoring tool that facilitates the implementation training environments, enabling both design execution complex exercises. A systematic literature review was conducted identify VR-based tools. Each environment assessed based on variability, reusability assistance, each criterion graded a 3-point scale. Following...