Name: Where the Earth Meets the Sky
Start: 2021-05-27T08:00:00+02:00
End: 2021-05-28T18:05:00+02:00
Location: online

Where the Earth Meets the Sky

from Thursday, May 27, 2021 (8:00 AM) to Friday, May 28, 2021 (6:05 PM)

Monday, May 24, 2021
Tuesday, May 25, 2021
Wednesday, May 26, 2021
Thursday, May 27, 2021

9:00 AM Webinar is now open for connections
Webinar is now open for connections
9:00 AM - 9:20 AM

9:20 AM Welcome and introduction
Welcome and introduction
9:20 AM - 9:30 AM
Room: Zoom Webinar A few words from the organizers to introduce the first day of the workshop.
9:30 AM first half
first half
9:30 AM - 10:50 AM
Contributions

9:30 AM When the brain meets the sky: Compressed Sensing for Magnetic Resonance Imaging & Radio-Astronomy - Jean-Luc STARK (CEA Saclay, CosmoStat laboratory) Philippe CIUCIU (CEA Saclay, Neurospin)

10:10 AM Time Series Classification: From Astronomical Transients to Human Heart Sounds - Motahare TORKI (Shahid Beheshti University)

10:30 AM Deep learning framework for clinical diagnosis - a healthcare system - Sandeep Singh SENGAR (University of Copenhagen, Denmark)
10:50 AM Break
Break
10:50 AM - 11:15 AM
11:15 AM second half
second half
11:15 AM - 12:30 PM
Contributions

11:15 AM Supervised classification of variable stars from the NASA TESS survey with features originating from the biomedical domain - Jeroen AUDENAERT (KU Leuven, Institute of Astronomy)

11:35 AM Towards an interpretable and transferable acoustic emotion recognition for the detection of mental disorders - Sneha DAS (Technical University of Denmark)

11:55 AM Hand-On Image Processing with PySAP - Samuel FARRENS (CosmoStat, CEA Paris-Saclay)
12:30 PM Lunch break
Lunch break
12:30 PM - 1:30 PM
1:30 PM four posters
four posters
1:30 PM - 2:00 PM
Contributions

1:30 PM The AstroPath Image Acquisition and Segmentation Workflow - Benjamin GREEN (Johns Hopkins University)

1:35 PM Automated morphological decomposition of galaxies in large imaging surveys - Sarah CASURA (Universität Hamburg, Germany)

1:40 PM Building Seamless Whole Slide Multiplex Images in the AstroPath Project - Jeffrey ROSKES (Johns Hopkins University)

1:45 PM ODUSSEAS: a machine learning tool to derive effective temperature and metallicity for M dwarf stars - Alexandros ANTONIADIS KARNAVAS (Instituto de Astrofísica e Ciências do Espaço, Universidade do Porto)
2:00 PM first half
first half
2:00 PM - 3:20 PM
Contributions

2:00 PM The role of domain knowledge experts in the era of big data - Emille ISHIDA (CNRS/Laboratoire de Physique de Clermont)

2:40 PM Training an interpretable ML algorithm with only a dab of real data: An extragalactic perspective - Aritra GHOSH

3:00 PM PyAutoFit: A Classy Probabilistic Programming Language For Cosmology and Cancer - James NIGHTINGALE (Durham University)
3:20 PM Break
Break
3:20 PM - 3:45 PM
3:45 PM second half
second half
3:45 PM - 5:05 PM
Contributions

3:45 PM Modelling spatial phenomena: a brief tour of the current state of the art - Samir BHATT (University of Copenhagen, Imperial College London)

4:25 PM AstroPath: Astronomy Meets Pathology to Characterize the Tumor MicroEnvironment - Alexander SZALAY (Johns Hopkins University)

4:45 PM Correcting for Systematics in Multiplex Cancer Imaging in the AstroPath Project - Margaret EMINIZER (The Johns Hopkins University)
5:05 PM Wrap-up and see you next morning
Wrap-up and see you next morning
5:05 PM - 5:20 PM
Room: Zoom Webinar
Friday, May 28, 2021

9:00 AM Webinar is now open for connections
Webinar is now open for connections
9:00 AM - 9:20 AM

9:20 AM Welcome back
Welcome back
9:20 AM - 9:30 AM
Room: Zoom Webinar A few words from the organizers to introduce the 2nd day of workshop.
9:30 AM first half
first half
9:30 AM - 10:50 AM
Contributions

9:30 AM Longitudinal Disease Trajectories at Population Scale - Søren BRUNAK

10:10 AM Fast complex dynamics emulators using deep generative models - Doogesh KODI RAMANAH (DARK, Niels Bohr Institute, University of Copenhagen)

10:30 AM CycleGANs can bridge to understanding/closing the reality gap for CMB simulations - Alireza VAFAEI SADR (university of Geneva)
10:50 AM Break
Break
10:50 AM - 11:15 AM
11:15 AM second half
second half
11:15 AM - 12:30 PM
Contributions

11:15 AM How is deep learning useful to understand the physics of galaxies? - Marc HUERTAS-COMPANY

11:55 AM What to do with curved distributions in MCMC - Filippo PAGANI (University of Cambridge)
12:30 PM Lunch break
Lunch break
12:30 PM - 1:30 PM
1:30 PM seven posters
seven posters
1:30 PM - 2:20 PM
Contributions

1:30 PM Anomaly Detection using Dimensionality reduction - an Active learning approach. - Emmanuel SEKYI (African Institute for Mathematical Sciences, Cape Town)

1:35 PM A Method to Distinguish Quiescent and Dusty Star-forming Galaxies with t-SNE - John WEAVER (Cosmic Dawn Center, NBI)

1:40 PM Deep Multi-Task Learning for Series Classification by Pulse Sequence Type and Orientation - Noah KASMANOFF (New York University)

1:45 PM Novel Application in Machine Learning: Predicting the Issuance of COVID-19 Stay-at-Home Orders in Africa - Carter RHEA (L'Université de Montréal)

1:50 PM A new vocabulary for textures and its astronomical applications - Sihao CHENG (Johns Hopkins University)

1:55 PM Cross-Registration of Whole Slide Images from Different Modalities in AstroPath - Joshua DOYLE (Johns Hopkins University)

2:00 PM CellView: an Interactive Image Viewer for Multiplex Cancer Images in the AstroPath Project - Dmitry MEDVEDEV (Johns Hopkins University)
2:20 PM first half
first half
2:20 PM - 3:20 PM
Contributions

2:20 PM Searching for needles in the cosmic haystack - Ashley VILLAR (Columbia University)

2:40 PM Domain Adaptation for Cross-Domain Studies in Astronomy: Merging Galaxies Identification - Aleksandra CIPRIJANOVIC (Fermi National Accelerator Laboratory, USA)

3:00 PM Bayesian Model Comparison applied to COVID 19 - Pablo LEMOS (University of Sussex)
3:20 PM Break
Break
3:20 PM - 3:45 PM
3:45 PM second half
second half
3:45 PM - 4:05 PM
Contributions

3:45 PM Chaotic_Neural: Improving Literature Surveys in Astronomy with Machine Learning - Kartheik IYER (Dunlap Institute for Astronomy and Astrophysics, University of Toronto)
4:05 PM

4:05 PM - 4:50 PM
Room: Zoom meeting room

4:50 PM Final remarks and goodbye
Final remarks and goodbye
4:50 PM - 5:00 PM

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