The goal of this first ML- Helio conference is to leverage the advancements happening in disciplines such as machine learning, deep learning, statistical analysis, system identification, and information theory, in order to address long-standing questions and enable a higher scientific return on the wealth of available heliospheric data.
We aim at bringing together a cross-disciplinary research community: physicists in solar, heliospheric, magnetospheric, and aeronomy fields as well as computer and data scientists. ML- Helio will focus on the development of data science techniques needed to tackle fundamental problems in space weather forecasting, inverse estimation of physical parameters, automatic event identification, feature detection and tracking, times series analysis of dynamical systems, combination of physics-based models with machine learning techniques, surrogate models and uncertainty quantification.
The conference will consists of classic-style lectures, complemented by hands-on tutorials on Python tools and data resources available to the heliophysics machine learning community.
We expect all the participants of Machine Learning in Heliophysics to follow our Code of Conduct.
Register your interest here
Daniel Baker, University of Colorado
Joe Borovsky, Space Science Institute
Cyril Furtlehner, INRIA Paris
George Karniadakis, Brown University
Adam Lesnikowski, NVIDIA
Robert McPherron, UCLA
Naoto Nishizuka, NICT (Japan)
Barbara Thompson, NASA Goddard
Peter Wintoft, Swedish Institute of Space Physics
Registration is open on this link
Early-bird rate (until 31 May): 400 EUR
Single-day conference ticket: 150 EUR
Full rate (after 31 May): 500 EUR
The registration fee includes an opening reception and lunches from Monday to Friday. Any attendee can only purchase one single-day conference ticket.
Invitation letter: In case you need an invitation letter, you can make a request to firstname.lastname@example.org. Note that invitation letters can only be issued for registered participants.
The abstract submission is now close.
It has come to our attention that 'Business Travel Management' [email@example.com] has been sending out emails regarding hotel bookings for ML-Helio 2019. Please note that BTM is not affiliated with the congress. Please do not provide them your credit card details.
What to do if you have been contacted by a scam company about booking hotels?
1. If you have given out your credit card information to BTM or anyone who called you about booking hotel rooms for the ML-Helio 2019, call your credit card company immediately, alert them to the scam, and deny the charge.
2. Change your online passwords and PINs to prevent fraudsters from doing any further damage.
3. Continue to monitor your credit card to look for fraudulent charges. Request further information from your credit card company regarding closing your account or issuing a new card.