November 29, 2022 - November 30, 2022

On-line Meeting on Artificial Intelligence for Plasma Science

Virtual meeting: instructions to connect are communicated upon registration.

This first On-line Meeting on Artificial Intelligence for Plasma Science will gather together experts from artificial intelligence and plasma communities. The objectives are to:

  • introduce some basics on AI and machine learning strategies for Plasma Science
  • exemplify on the first demonstrations on the use of AI in plasma science. Here Plasma Science encompasses among others: plasma processing, plasma medicine, plasma agriculture, plasma device control and monitoring, plasma diagnostics, …
  • develop an interdisciplinary international researcher network on Artificial Intelligence for Plasma Science


  • Artificial intelligence
  • Machine learning
  • Plasma process
  • Plasma medicine
  • Plasma agriculture
  • Control/Monitoring/Prediction


  • Data mining in plasma science
  • AI for pattern recognition, image processing and visualization of complex phenomena in plasma
  • AI for plasma modeling and simulation
  • AI for plasma diagnosis and process control
  • AI for plasma medicine
  • AI for plasma agriculture
  • FAIR Data bases for plasma science


Confirmed speakers

Organizing committee


Tuesday November 29th 2022 – Paris Time (GMT +1)

Chair(wo)men : Prof. Cristina Canal & Dr Augusto Stancampiano
  • 13:00     Welcome / Introduction : “What is plasma in 600 seconds?”
  • 13:15     Prof. Marcilio De Souto - Introduction to Artificial Intelligence with Machine Learning Techniques
  • 14:00     Prof. Xin Tu - Machine learning for the optimization of plasma chemical processes
  • 14:25     Prof. Sylwia Ptasinska - Revealing low-temperature plasma efficacy through a dose-rate assessment machine learning framework                  
  • 14:50     Dr Utku Kürşat Ercan - How Can Artificial Intelligence Contribute to Plasma Medicine Towards Clinical Use?
  • 15:15     Short break
  • 15:25     Sophie Gabillet (General Secretary) - Presentation of LE STUDIUM
  • 15:35     Virginie Le Tallec - Presentation of ATHENA (European University in Orleans)
  • 15:45     Dr Markus Becker - INPTDAT, a FAIR data platform for applied plasma science
  • 16:10     Dr Tommaso Gallingani - Optimal experimental design for plasma processes investigation and tuning: a multi objective and multi fidelity approach
  • 16:35     Luigi Salazar - Spectral modes extraction using Signal Processing and Artificial Intelligence techniques based on reflectometry data
  • 17:00     Dr Bhaskar Chaudhury - Deep Learning for Extracting Electron Scattering Cross Sections from Swarm Data
  • 17:25     Sarah Chouchene - Detection of Plasma Turbulence in Plasma Fusion Devices Using Ultra-Fast Camera and Artificial Intelligence

Wednesday November 30th 2022 – Paris Time (GMT +1)

Chair(wo)men : Dr Eric Robert & Prof. Nevena Puac
  • 13:00    Jalal Fadili - AI for Science, Science for AI
  • 13:20    Prof. Satoshi Hamagushi - Introduction to data science applied to plasma science and technologies

Special session on AI for Plasma Science at CAU in Prof. Huang’s group

  • 14:05    Prof. Feng Huang - Short introduction on Plasma Agriculture and Science including AI approaches
  • 14:15    Dr Xiaojiang Tang - An MLP Network Based on Residual Learning for Plasma Rice Recognition
  • 14:35    Dr  Wenzhuo  Chen - Shortcut improved Convolutional Network Application in Plasma-treated Rice Growth Classification
  • 14:55    Dr Boaxia Li - Deep Learning Application in Complex Plasma Image Recognition
  • 15:15    Short break
  • 15:35   Prof. Ali Mesbah - A Tutorial on Bayesian Optimization for Design of Experiments for Low-Temperature Plasmas
  • 16:20   Sara Emadi - Structure-independent Prediction of the BM-MSC response to CAP treatment using machine learning algorithms based on plasma emission Spectrometry
  • 16:45   Mehmet Akif Özdemir - Can Machine Learning Predict the Antimicrobial Activity of Cold Atmospheric Plasma-Activated Liquids?
  • 17:10   Gizem Dilara Özdemir - Prediction of Oxidative Strength of Cold Atmospheric Plasma Activated Water via Paper-Based Sensor: A Machine Learning Approach
  • 17:25   Conclusion & perspectives

Oral presentations

Abstracts for oral presentation should be submitted before Friday 21st October 2022. Please upload your abstract during the registration or send it before the deadline to

The number of oral presentations is limited, convenors will process a selection and confirm your presentation not later than Friday 28th October 2022.
Please download the template for oral presentation.


lestudiumconference_booklet_of_abstracts.pdf4.14 MB

Partners of the event