Sébastien Travadel

Biography

Sébastien Travadel is a researcher specializing in the study of complex systems, with significant expertise at the intersection of engineering, educational technology, and risk management. His work focuses on three main areas: educational innovation through immersive environments, particularly via virtual reality applied to science and technology education (STEM), the analysis of organizational and industrial crises, particularly in the nuclear sector, and the integration of artificial intelligence for modeling psychomotor skills and detecting vulnerabilities. His research also explores methods of knowledge representation, such as ontologies, to design adaptive intelligent tutoring systems. A significant portion of his contributions focuses on organizational resilience, emergency engineering, and the analysis of post-accident lessons learned, drawing on theoretical frameworks from the social and cognitive sciences.

Publication(s)

2025
Modeling Learning Outcomes in Virtual Reality Through Cognitive Factors: A Case Study on Underwater Engineering DOI : 10.3390/electronics14173369
2025
Virtual Reality for Hydrodynamics: Evaluating an Original Physics-Based Submarine Simulator Through User Engagement DOI : 10.3390/computers14090348
2025
Engineering Education in Virtual Reality: A Case Study of the 'Submarine Simulator' for STEM Education DOI : 10.1109/RoEduNet68395.2025.11208488
2023
Educating Nuclear Workers Through Images: The Work of Jacques Castan, Illustrator of Radiation Protection in the 1960s DOI : 10.1007/978-3-031-33786-4_3
2022
Counteracting French Fake News on Climate Change Using Language Models DOI : 10.3390/su141811724
2022
Automatic Detection of Marine Litter: A General Framework to Leverage Synthetic Data DOI : 10.3390/rs14236102
2022
Selfit v2 – Challenges Encountered in Building a Psychomotor Intelligent Tutoring System DOI : 10.1007/978-3-031-09680-8_33
2022
Selfit—Accounting for Sexual Dimorphism in Personalized Motor Skills Learning DOI : 10.1007/978-981-16-3930-2_7
2022
OntoStrength: An Ontology for Psychomotor Strength Development DOI : 10.55612/s-5002-052-006
2021
Interpretable Identification of Cybersecurity Vulnerabilities from News Articles DOI : 10.26615/978-954-452-072-4_049
2021
Selfit – An Intelligent Tutoring System for Psychomotor Development DOI : 10.1007/978-3-030-80421-3_32
2020
Interpreting the nightmare of Fukushima’s superintendent: sensemaking in extreme situations DOI : 10.4337/9781788112215.00027
2020
Intelligent tutoring systems for psychomotor training – a systematic literature review DOI : 10.1007/978-3-030-49663-0_40
2018
Industrial Safety and Utopia: Insights from the Fukushima Daiichi Accident DOI : 10.1111/risa.12821
2014
Engineering thinking in emergency situations: A new nuclear safety concept DOI : 10.1177/0096340214555109
2008
Sharing and using safety recommendations more effectively
2008
Sharing and using safety recommendations more effectively
2001
Non-persistence of roll-waves under viscous perturbations DOI : 10.3934/dcdsb.2001.1.61

Teaching

General Engineering Professions (MIG)

Lecturer

A MIG is a personalized, project-based learning program that brings together a group of 12 or 14 students, guided by the School’s faculty members, to explore a complex problem in its various dimensions—including, of course, scientific and technical aspects, but also cross-disciplinary aspects (socioeconomics, management, law, the environment, etc., depending on the field being studied). Ten different topics are offered. They all reflect current research themes being developed by the School’s centers and industry. The challenges students will tackle through these 10 projects address major issues facing the industry of the future and society: From Energy Resource Transformation to Management, Data Science and Innovative Applications, Raw Material Extraction and Environmental Impact, Design and Materials for Aerospace and Automotive, and Medical and Hospital Care Engineering Each MIG topic is addressed through complementary and interlinked activities during an intensive three-week period: - company visits, lectures, and classes - a period of experimentation and/or modeling at a research center or in a company, in the form of mini-projects carried out in small groups. In addition, each group of students collectively summarizes the work completed in the form of a written report and an oral presentation before a panel of industry professionals. This presentation will allow you to better understand all aspects of the topic and to deepen your teamwork skills.

Introduction to Imaging (PI UNDERWATER)

Course Director

Introduction to Underwater Robotics (PI UNDERWATER)

Course Director

In-Depth Look (PI UNDERWATER)

Course Director

Project (PI UNDERWATER)

Course Director

PhD supervision

2025 Robotic support for human expertise in underwater investigation. GOURNAY Tom
2020 Intelligent learning systems for psychomotor development in open environments NEAGU Laurentiu
2020 Immersive technologies applied in the engineering training process STANESCU Andrei
2019 Design of an AI-based decision support algorithm, trained on simulated leak and detection scenarios PEREGRINI Matthieu
2017 Engineers' representations. Application to risk management. PARIZEL Claire
2016 Fukushima: A 'Made in Japan' Accident? A Semiotic Analysis of Causality in Japan GAULENE Mathieu
2015 Data mining and knowledge formalization of an accident: The Deepwater Horizon case EUDE Thibaut