Autumn School

Registration

Registration is free of charge for students coming from TriRhenatech affiliated universities.

Registration deadline : 10^th November 2023.

Technical requirements

For the autumn school, we will use Google Colab online. Participants can then bring their own computer (no GPU is required). If necessary, Desktop computers from the School could be used.

Wifi access will be provided.

Topic

In this one-day tutorial, we will explore the development in Python of time series analysis algorithms for the task of classification.

We will first investigate classical machine learning algorithms before assessing how deep learning-based algorithms can achieve the time series classification task.

All along the tutorial, we will particularly investigate a real-world use case of robotics time series by classifying time series data extracted from our mobile robot Smart UHA.

Chairs

Dr Maxime Devanne
Maxime Devanne received his PhD degree in 2015 from both the Université de Lille, France and the Università di Firenze, Italy. After one year as postdoctoral researcher at Université de Lille, and three years as postdoctoral researcher at IMT Atlantique he joined the Université de Haute-Alsace in 2019 as an Associate Professor in Computer Science in the IRIMAS Lab. He specializes in Machine/Deep Learning for time series and human motion analysis.

Dr Thomas Josso-Laurain
Thomas Josso-Laurain received his PhD degree in 2017 from Université de Valenciennes, France. He was visiting researcher in Technical University of Cluj-Napoca, Romania and Federal University of Minas Gerais, Brazil. He joined the Université de Haute-Alsace in 2018 as an Associate Professor in Automatic Control in the IRIMAS lab. His research interests cover data fusion, autonomous vehicles and artificial intelligence.