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.