On-line Meeting on Artificial Intelligence for Plasma Science

November 29, 2022 - November 30, 2022

Conference

Virtual meeting

Presentation

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

Prof. Feng Huang, LE STUDIUM Guest Research Fellow
FROM: China Agricultural University, Beijing - CN
IN RESIDENCE AT: Research Group in the Energetics of Ionized Media (GREMI) / CNRS, University of Orléans - FR
Dr Eric Robert & Dr Augusto Stancampiano,
Research Group in the Energetics of Ionized Media (GREMI) / CNRS, University of Orléans - FR

Documents

lestudiumconference_booklet_of_abstracts.pdf4.14 MB

Confirmed speakers

Dr Bhaskar Chaudhury, Dhirubhai Ambani Institute of Information and Communication Technology - IN
Prof. Marcílio de Souto, Computer Science Laboratory of Orleans (LIFO) /University of Orléans - FR
Dr Utku Kürşat Ercan, İzmir Katip Çelebi University - TR
Prof. Sylwia Ptasinska, Radiation Laboratory and Department of Physics and Astronomy, University of Notre Dame - USA
Prof. Xin Tu, University of Liverpool - UK

Organising committee

Prof. Cristina Canal, PlasmaMedLab, Universitat Politècnica de Catalunya (UPC) - ES
Prof. Feng Huang, China Agricultural University, Beijing - CN
Prof. Ali Mesbah, College of Chemistry, UC Berkeley - USA
Prof. Nevena Puac, Institute of Physics Belgrade - RS
Dr Eric Robert, Research Group in the Energetics of Ionized Media (GREMI) / CNRS, University of Orléans - FR
Dr Augusto Stancampiano, Research Group in the Energetics of Ionized Media (GREMI) / CNRS, University of Orléans - FR

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.