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

KEY WORDS

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

TOPICS

  • 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

CONVENORS

Confirmed speakers

Organizing committee

Programme

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 maurine.villiers@lestudium-ias.fr.

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.

Documents

DownloadSize
lestudiumconference_booklet_of_abstracts.pdf4.14 MB

Partners of the event