Prof. Olivier Rioul
Télécom Paris, Institut Polytechnique de Paris, France

Olivier Rioul (https://perso.telecom-paristech.fr/rioul/) is full Professor at the Department of Communication and Electronics at Télécom Paris, Institut Polytechnique de Paris, France. He graduated from École Polytechnique and from École Nationale Supérieure des Télécommunications, Paris, France, where he obtained his PhD degree. His research interests are in applied mathematics and include various, sometimes unconventional, applications of information theory such as inequalities in statistics, hardware security, and experimental psychology. He has been teaching information theory and statistics at various universities for twenty years and has published a textbook which has become a classical French reference in the field.

Prof. Toufik Bakir
University of Burgundy, France

Toufik Bakir received his Ph.D. degree in industrial automatics from the University of Claude Bernard-Lyon I, Lyon, France, in 2006. He was an associate professor at the Le2i (Laboratory of electronics, computer science and image) at the University of Burgundy (2007-2020). He became a full professor since 2021 at ImViA (Image and Artificial Vision laboratory) of the University of Burgundy. He is the head of the computer science and electronics department since 2020. His research interests include dynamic systems (industrial processes, biomedical systems) in terms of modeling, optimization and control.

Assoc. Prof. Ismail BENNIS
University of Haute Alsace, France

Ismail Bennis earned in 2009 a bachelor’s degree in mathematics and computer science from the Université Mohammed V in Rabat, Morocco. 2011, he received a master’s degree in Computer Networks and Telecommunications from the same university. He completed his PhD in 2015 under joint supervision between the Université Mohamed V in Rabat, Morocco and the Université de Reims Champagne-Ardenne in France. From 2015 to 2017, he worked as a temporary professor for research and teaching (A.T.E.R) at the University of Reims. Between 2017 and 2020, he worked as an associate professor at La Rochelle University. His research interests include routing protocols with quality of service over wireless sensor networks, IoT and outlier detection. Since September 2020, he has worked as an associate professor at the University of Haute Alsace.

Speech Title: Outlier Detection Techniques in IoT: challenges and recent approaches
 

Wireless Sensor Networks (WSNs), and more generally, the Internet of Things (IoT), are widely used to gather information and monitor the environment in various applications, such as medical, agricultural, manufacturing, and military. The goal is to transmit data from sensors to the base station. However, this data is susceptible to outliers, which can occur due to the sensor nodes themselves or the harsh environment in which they are deployed. Therefore, WSNs must detect outliers and take action to ensure data Quality of Service (QoS) in terms of reliability and accuracy, as well as prevent further degradation of application efficiency. This need has resulted in many research efforts to propose efficient outlier detection and classification solutions and improve the performance of existing ones. The challenge is detecting outliers and classifying them as errors to be ignored or important events requiring further action. This talk will discuss enhanced and effective outlier detection and classification approaches for WSNs. The enhancement tackles the clustering, outlier detection, and classification phases.

Prof. Irene Verde Peleato
Universitat de València, Spain

Prof. Irene Verde Peleato has a degree and a PhD in Pedagogy from the University of Valencia. She has a master's degree in Spanish as a foreign language from the University of Southern California (USA). Now, she is professor of the Department of Educational Theory of the University of Valencia (Spain) in the Degrees of Teaching, Social Education and Pedagogy as well as in the Masters of Social and Educational Action and Teacher Training in Secondary School of the University of Valencia in the specialty of technology, and the member of the GIPU-EA (Research Group on University Pedagogy and Teaching and Learning Strategies).

Speech Title: Transforming Education: A Collective Commitment
 

The challenges posed by the new world report Reimagining our futures together, a new social contract for education (UNESCO, 2022) realistically place us before the current social panorama marked by speed, virtual relationships and uncertainty, challenging us to collective commitment to promote transformation by reformulating teaching-learning processes and placing care in relationships at the center with oneself, with others, with technology and with Mother Earth to provide future generations with skills and knowledge necessary to achieve a new social contract in favor of education. And, to do this, it is necessary to offer students possibilities and tools to exercise critical thinking and, above all, creative thinking in order to overcome so much infoxication, identify misinformation, prejudices, question ideas and reinforce the collaborative work.