Topics
Machine Learning in Heliophysics
Mark your calendar! ML-Helio 2021 will be held on 30 August - 3 September 2021 Venue to be decided (USA)
Methods
Machine and Deep Learning System identification Information theory Combination of physics-based and data-driven modeling Bayesian analysis
Thank you all for a very successful conference! Presentations are available for download
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.
Invited Speakers
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 PhysicsProgram
Download the poster presentations Download the oral presentations Final Program (download here) Book of abstract available here
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14 April 2019: Abstract submission deadline
19 May: Deadline to apply for travel support
31 May: Early bird registration
16-20 September 2019: Conference
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Registration is open on this link Registration fees: Single-day conference ticket: 150 EUR Full rate: 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 conference@uva.nl. Note that invitation letters can only be issued for registered participants.
The abstract submission is now close.
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Special Issue in Frontiers in Astronomy and Space Sciences This Research Topic calls for contributions pertaining to the application of machine learning in any subfield of Heliophysics. Works that have already been presented at the ML-Helio conference are welcome. However, the call is open to all contributors, and not limited to conference participants. Authors can choose between two type of contributions: 1) a full-length research article (12,000 words and 15 Figures max) 2) a brief research report (4,000 words and 4 Figures max). In either case the paper is expected to contain novel and original research, and the guest editors will strive to ensure a rapid peer-review and publication timeline. Further information can be found on the journal website
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Scientific Organizing Committee
Hazel Bain (CU Boulder) Monica Bobra (Stanford) Jacob Bortnik (UCLA) Enrico Camporeale (CU/CWI, chair) Mark Cheung (LMSAL) Veronique Delouille (ROB) Farzad Kamalabadi (U. Illinois) Michael Kirk (NASA) Giovanni Lapenta (KU Leuven) Stefan Lotz (SANSA) Sophie Murray (Trinity College Dublin) Bala Poduval (CWI) Pete Riley (Predictive Science Inc.) Simon Wing (APL, Johns Hopkins)
Local Organizing Committee
Mandar Chandorkar Bala Poduval Rakesh Sharma Carl Shneider Jannis Teunissen
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The conference will be held at The Royal Tropical Institute - Koninklijk Instituut voor de Tropen (KIT), a short walk from the 17th century UNESCO World Heritage Amsterdam Canal Ring.
Address: Mauritskade 64, 1092 AD Amsterdam
Travel
The Amsterdam (Schiphol) Airport is served by all major airlines. It is about 30 minutes from the city center, by train, bus or taxi. See here for transfer options.
Hotel
For Hotel registration please click here
IMPORTANT! It has come to our attention that 'Business Travel Management' [sales@btravelmanagement.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.
