2nd International Conference on Data Driven Plasma Science

Plenary 3 : H. Ihssen, New Material Discovery Activities in the Framework of the European Energy Research Alliance

auditorium

H. Ihssen

https://icddps2019.sciencesconf.org/data/program/Ihssen.pdf

J. Shinagawa, Pairing plasma diagnostics, theory and simulations with machine learning to overcome the limitations of big data analytics in complex plasma processes

auditorium

J. Shinagawa

https://icddps2019.sciencesconf.org/data/program/Shinagawa.pdf

Coffee break

Salle des Voûtes

K. Kamataki, Predictive insight based on grey box analysis of plasma process data

auditorium

K. Kamataki

https://icddps2019.sciencesconf.org/data/program/Kamataki.pdf

K. Wende, From numbers to decisions - data processing in omics-driven approaches

auditorium

K. Wende

https://icddps2019.sciencesconf.org/data/program/Wende.pdf

E. Kolemen, Machine Learning Control for fusion devices

auditorium

E. Kolemen

https://icddps2019.sciencesconf.org/data/program/Kolemen_1.pdf

R. A. Guinee, A Novel Kalman Filter Bank Methodology For Time Series Prediction In Forecasting Applications

R. A. Guinee

https://icddps2019.sciencesconf.org/data/program/Guinee2.pdf

Lunch

Salle des Voûtes

M. Becker, Reuse of research data for plasma processes and applications with Plasma-MDS and INPTDAT

auditorium

M. Becker

https://icddps2019.sciencesconf.org/data/program/Becker_Franke_1.pdf

M. Boyer, Accelerated predictive models for scenario optimization and control of tokamaks

auditorium

M. Boyer

https://icddps2019.sciencesconf.org/data/program/Boyer.pdf

M. R. Churchill, Deep Convolutional Neural Networks for Long Time Series Classification

auditorium

M. R. Churchil

https://icddps2019.sciencesconf.org/data/program/Churchill_1.pdf

Coffee break

Salle des Voûtes

Poster Session 2

Salle des Voûtes

Conference Dinner