Maxime Devanne

About me

I am a PhD student in Computer Science at Université de Haute-Alsace, working at the IRIMAS Laboratory. My research focuses on deep learning for time series classification, with an interest in model efficiency, ensemble learning and adaptive methods. I aim to develop lightweight and robust models that can be applied in areas such as healthcare, robotics and real-time systems.

Keywords: data science, computer vision, pattern recognition, machine learning, time series, human motion, deep learning.

Contact

ENSISA / Univ. Haute Alsace 12 rue des frères Lumière 68093 Mulhouse, France javidan.abdullayev@uha.fr
+33 (0)7 49 59 96 62

     

Some news

  • 2025.12 One conference paper accepted in ICAART 2026 on deep models dynamic pruning for time series classification
  • 2025.06 Attending IJCNN 2025 in Rome, Vatican City to present my research
  • 2025.04 One paper accepted at IJCNN 2025 about diversity in deep learning ensembles for time series classification
 

Bio


Background

  • 2022-23: Research Engineer at IRIMAS and UHA - Developed machine learning solutions for credit card fraud detection, identifying anomalies in financial transaction data.
  • 2022: A 6 months Internship at IRIMAS and UHA about Deep Learning and Machine Learning for Time Series Analysis & Classification for my Master year 2. Supervised by Maxime Devanne, Jonathan Weber and Germain Forestier
  • 2021: Research Intern at eiGroup - Assisted in the development of machine learning algorithms for industrial data analysis.

Education

Teaching


Courses

  • Deep Learning - Since the 2023/2024 academic year, I have been giving lectures (CM) on neural network model compression and large language models to second-year students in computer and network engineering during the 1er semester.
  • Client Side Web Porgramming - Since the 2023/2024 academic year, I have been giving tutorial sessions (TDs) to second-year students in computer engineering and network training during the first semester.
  • Server Side Web Porgramming - Since the 2023/2024 academic year, I have been giving tutorial sessions (TDs) to second-year students in computer engineering and network training during the first semester.

Publications

Communications in International Conferences and Workshops

Communications in National Conferences and Workshops