Workshop format

Like the main COSPAR-2021 Assembly, the Cross-Disciplinary Workshops will feature a combination of pre-recorded talks and live sessions. Although pre-recorded talks will be available on-demand for the entirety of the COSPAR assembly and beyond (until Dec 31st 2021), each talk will also be assigned a unique time slot on the day of the workshop. This is to give the audience an opportunity to experience presentations together, and for live global Q&A with the presenters.

Invited Speakers

Madhulika Guhathakurta (NASA HQ)

Machine Learning & Space Science at Frontier Development Lab

Madhulika (Lika) Guhathakurta is an Astrophysicist with NASA’s Heliophysics Division at Head Quarters. She Led the Living with a Star Program for a decade and half whose goal is to understand and ultimately predict solar variability and its diverse effects on Earth, human technology and astronauts in space, also known as “Space Weather”. Led missions such as STEREO, SDO, Van Allen Probes, Solar Orbiter Collaboration, Parker Solar Probe and others. Initiated Space Weather to be a permanent agenda item at UNCOPUOS in 2013, created graduate level textbooks in heliophysics and leads new initiatives by fusing science, technology and public-private partnership.

Shirley Ho (Flatiron Institute)

Learning Symbolic Equations with Deep Learning

Shirley Ho’s research interests have ranged from using machine learning and statistics to tackle fundamental challenges in cosmology to finding new structures in our own Milky Way. Ho has broad expertise in theoretical astrophysics, observational astronomy, and data science. Ho’s recent interest has been on understanding and developing novel tools in machine learning techniques, and applying them to astrophysical challenges. Her goal is to understand the universe’s beginning, evolution, and its ultimate fate. Ho earned her Ph.D. in astrophysical sciences from Princeton University in 2008 and her bachelor’s degrees in computer science and physics from the University of California, Berkeley in 2004. She was a Chamberlain fellow and a Seaborg fellow at Lawrence Berkeley National Laboratory before joining Carnegie Mellon University in 2011 as an assistant professor. She became the Cooper Siegel Career Chair Professor and was appointed associate professor with tenure in 2016. She moved to Lawrence Berkeley Lab as a Senior Scientist in 2016, and to the Center of Computational Astrophysics (Simons Foundation) in 2018 as the group leader in Cosmology X Data Science.

Schedule for Jan 31st 2021 (AEDT)

For your convenience: YouTube playlist of all talks

General Session: Invited talks (30 minutes each) and contributed talks (15 minutes each)

Authors Title Times in AEDT ⏰ convert here
Shirley Ho Invited Talk: Learning Symbolic Equations with Deep Learning 08:00
Gregoire Aufort, Denis Burgarella, Pierre Pudlo Deep-CIGALE 08:30
Nigul Olspert, Andres Asensio Ramos Ground based solar image restoration with unsupervised deep learning 08:45
Tony Bonnaire Learning the principal graph of the galaxy distribution 09:00
Live Q&A over zoom + 🍪 🍵 🍮 ☕️ 09:15
To submit questions, go to and enter the event code #COSPARCDW.
Madhulika Guhathakurta Invited Talk: Machine Learning & Space Science at Frontier Development Lab 10:00
Carl Shneider, Andong Hu, Mandar Hemant Chandorkar, et al. A Machine Learning Multispectral Time Series Data set Prepared from the SOHO Mission for Space Weather Readiness 10:30
Keming Zhang, Joshua Bloom, B. Scott Gaudi, et al. Automating Inference of Binary Microlensing Events with Neural Density Estimation 10:45
Bala Poduval, Atilim Gunes Baydin, Nathan Schwadron Studying Solar Energetic Particles and Their Seed Population Using Surrogate Models 11:00
Bo Chen, Daqi Liu, Tat-Jun Chin, et al. Kelvins SpotGEO Challenge: Dataset, Metric, and Result 11:15
Live Q&A over zoom + 🍪 🍵 🍮 ☕️ 11:30
To submit questions, go to and enter the event code #COSPARCDW.
Maria J. Molina, Ivan Venzor, Marek Slipski, Nadia Ahmed, et al. Short-Term Prediction of Severe Thunderstorm Hazards with ML and the Geostationary Lightning Mapper 12:00
Banafsheh Ferdousi, Panagiotis Tigas, Vishal Upendran, et al. Modeling and forecasting ground geomagnetic perturbations using deep learning on spherical harmonics 12:15
Richard E.L. Higgins, David Fouhey, et al. Fast and Accurate Emulation of the SDO/HMI Pipeline with Uncertainty Quantification 12:30
Live Q&A over zoom 12:45
To submit questions, go to and enter the event code #COSPARCDW.

Parallel Tracks

In addition to the invited and contributed talks in the general workshop session, there will be three parallel sessions along the themes of (A) Heliophysics, (B) Astrophysics and (C) Earth Science.

For your convenience: YouTube playlist of all talks

(A) Heliophysics Track contributed talks (15 minutes each)

Authors Title Times in AEDT convert here
Frederic Effenberger, Ruggero Vasile, Yuri Shprits, et al. Generative Adversarial Deep Learning with Solar Images 13:00
Jeong Hyun-Jin, Yong-Jae Moon, Eunsu Park, et al. Coronal Magnetic Field Extrapolation from Synchronic Data with AI-generated Solar Farside 13:15
Sonam Dawani, Azim Ahmadzadeh, Rafal Angryk A Texture-Based Approach for Identification of Filaments’ Chirality 13:30
Yang Chen, Anli Ji, Pavan Ajit Babajiyavar, et al. Does Imaging of Time Series Help Flare Forecasting? 13:45
Live Q&A over zoom + 🍪 🍵 🍮 ☕️ 14:00

(B) Astrophysics Track contributed talks (15 minutes each)

Authors Title Times in AEDT convert here
Marion Ullmo, Nabila Aghanim, Aurélien Decelle Encoding large scale cosmological structure with Generative Adversarial Networks 13:00
Anamaria Berea, Andres Munoz-Jaramillo The Language of Stars 13:15
Benjamin Eckart, Chao Liu, Benjamin Wu Image Reconstruction from Astronomical Interferometers using Implicit Neural Representations 13:30
Keming Zhang, Joshua Bloom deepCR: Cosmic Ray Removal for Astronomical Imaging with Deep Learning 13:45
Live Q&A over zoom + 🍪 🍵 🍮 ☕️ 14:00

(C) Earth Science Track contributed talks (15 minutes each)

Authors Title Times in AEDT convert here
Abhigya Sodani, Michael Levy, Anirudh Koul, et al. Scalable Reverse Image Search Engine for NASA Worldview 13:00
Suhas Kotha, Anirudh Koul, Siddha Ganju, Meher Kasam CELESTIAL: Classification Enabled via Labelless Embeddings with Self-supervised Telescope Image Analysis Learning 13:15
Deep Patel, Erin Gao, Anirudh Koul, et al. Scalable Data Balancing Technique for Unlabeled Satellite Imagery 13:30
Sarah Chen, Esther Cao, Anirudh Koul, et al. Reducing Effects of Swath Gaps in Unsupervised Machine Learning 13:45
Rajeev Godse, Anirudh Koul, Meher Kasam, Siddha Ganju Multi-Resolutional Search Ranking Pipeline for Satellite Imagery 14:00
Live Q&A over zoom + 🍪 🍵 🍮 ☕️ 14:15