Track Chair of Track 1
Prof. Franck Amadieu
Université Toulouse Jean Jaurès, France
Franck Amadieu is a Professor of Cognitive Psychology at the Université Toulouse Jean Jaurès and director of the CLLE laboratory (UMR5263). His work focuses primarily on learning with digital tools and examines cognitive processing, particularly in the processing of digital documents (hypertext, multimedia, and animations) for information retrieval, comprehension, and learning tasks, as well as the acceptability of technologies by students and teachers. For several years, his research has focused on issues related to critical thinking education among young people (from middle school to university) when faced with video information sources. The objectives of his research are, on one hand, to understand inter-individual differences in the evaluation of information and information sources, and on the other hand, to examine the effects of training students on digital platforms for the critical evaluation of conflicting videos found on social media. Franck Amadieu has supervised 14 completed PhD dissertations and currently supervises about ten PhD students. He has coordinated 4 scientific projects, two of which were specifically dedicated to education in critical video analysis. He has published 37 peer-reviewed articles.
Track Chair of Track 2
Asst. Prof. Rui Pinto
Faculty of Engineering, University of Porto, Portugal
Rui Pinto is an Assistant Professor at the Faculty of Engineering of the University of Porto (FEUP) and an Integrated Member of the Systems and Technologies Research Center (SYSTEC), where he conducts research within the Digital and Intelligent Industry Laboratory (DIGI2). His research lies at the intersection of digital technologies, artificial intelligence, and engineering education, with particular interest in Education 4.0/5.0 and the development of skills for increasingly digital and intelligent environments. His work explores the use of AI and Generative AI in education, intelligent and adaptive learning environments, learning analytics, and technology-enhanced approaches to engineering education and professional training. He is also interested in immersive and interactive learning technologies, including XR/VR-based training, and in new approaches for preparing students and professionals for Industry 4.0/5.0. These activities build upon his broader research background in cyber-physical systems, industrial IoT, distributed automation, digital twins, and smart manufacturing. He has participated in several European and national research projects and has authored more than fifty scientific publications in international journals and conferences.
Track Chair of Track 3
Prof. David Panzoli
INU Champollion, Albi, France
David Panzoli is a professor and researcher in computer science and education sciences. His work focuses on immersive virtual environments, digital simulation, and artificial intelligence applied to professional learning. His current research addresses the design of simulators and digital twins for learning technical skills, the evaluation of user experience in virtual reality, and the integration of artificial intelligence into training systems. He collaborates with multidisciplinary teams in cognitive science and education science, and is the author of numerous international publications. He regularly speaks as an expert on the challenges of digital transformation in education.
Track Chair of Track 7
Prof. Antonio Cedillo-Hernández
Tecnológico de Monterrey, Mexico
Antonio Cedillo-Hernández received his Ph.D. in Communications and Electronics with honors from the National Polytechnic Institute (IPN), Mexico. He is currently a Professor and Researcher at Tecnológico de Monterrey and a Level I National Researcher in Mexico's National System of Researchers (SNII-SECIHTI). He has over twelve years of academic and research experience, including a postdoctoral fellowship at the National Autonomous University of Mexico (UNAM), and has contributed to more than 50 research works, including international journal articles, conference papers, book chapters, and scientific outreach publications.
Throughout his academic career, he has received several teaching distinctions, including recognition as a top-rated professor at both undergraduate and graduate levels, Best Professor of the Graduating Class, membership in Tecnológico de Monterrey's Distinguished Professors Circle, and the Inspiring Professor recognition.
His professional background also includes experience in information security, technology project management, and public-sector information systems. He has participated as Lead Auditor in security audits of electoral information systems and as a member of the Technical Advisory Committee for Mexico's Preliminary Electoral Results Program (PREP). His professional credentials include PMP®, Scrum, ITIL® Foundation, and CompTIA Security+ certifications.
Track Chair of Track 8
Asst. Prof. Letícia Seixas Pereira
Faculty of Engineering, University of Porto, Portugal
Letícia Seixas Pereira is an Assistant Professor at the Faculty of Engineering of the University of Porto (FEUP) and a Senior Researcher at INESC TEC, Portugal. She holds a PhD in Computer Science from Université Paris 8, France, and her research focuses on Inclusive Human-Computer Interaction (HCI) and Accessible Computing.
Her work investigates how interactive technologies can be designed and evaluated to accommodate diverse abilities, needs, and contexts of use. Her research spans digital accessibility, assistive technologies, and inclusive design, with particular attention to understanding barriers to participation and developing tools and approaches to address them. She is interested in how people with disabilities experience and interact with technology, and how their perspectives can inform the design of more inclusive systems.
Her research also addresses inclusion in higher education, particularly the accessibility of digital learning environments and equitable access to information. She has contributed to national and European research projects involving accessibility monitoring, inclusive technologies, and education. Her work has been published in leading international venues, including ACM CHI, ACM ASSETS, and ACM TACCESS.
Track Chair of Track 9
Research Fellow Anna Gorbunova
HSE University, Russia
Dr Anna Gorbunova is a Research Fellow at the Institute of Education, HSE University. She holds a PhD in Education. Her research focuses on cognitive load theory, learner control, self-regulated learning, and instructional design in digital learning environments. She currently leads a research project on learner control and its role in supporting agency and autonomy in digital education. Dr Gorbunova is a member of the International Cognitive Load Theory Association (ICLTA) and the European Association for Research on Learning and Instruction (EARLI). Her recent publications address learner control, cognitive load, and engagement in online learning.