Schedule Topic Title Speaker/Lead Title/Institution Duration (h:mm)
AM

POSTPONED

8:00 Arrival/Registration Registration Miles Pellazar 1:00
9:00 Opening Ceremony General Introduction and Welcome to the Workshop Dan Crichton Leader, Center for Data Science and Technology, NASA JPL 0:10
George Djorgovski Director, Center for Data-Driven Discovery, Caltech
9:10 Welcome to JPL: Growing role of AI and Data Science Larry James Deputy Director, NASA JPL 0:10
9:20 Introduction of Keynote Speaker Richard Doyle Program Manager, Information and Data Science 0:05
9:25 AI Reality versus Hype in Industry: No Data – No Intelligence Usama Fayyad Chairman & CEO, Open Insights 0:45
10:10 Break 0:15
10:25 Session 1: AI & Data Science across the NASA Centers Barbara Thompson NASA GSFC  
10:25   Ames Research Center Activities in AI and Data Science Nikunj Oza NASA Ames 0:15
10:40   LaRC Activities in AI and Data Science Ed McLarney NASA LaRC 0:15
10:55   GSFC Activities in AI and Data Science Nargess Memarsadeghi  NASA GSFC 0:15
11:10   JPL Activities in AI and Data Science TBD  NASA JPL 0:15
11:25   Discussion     0:30
11:55 Lunch       1:30
PM  
13:25 Session 2: Data-Driven Science in Earth Science Nikunj Oza, Chair NASA Ames  
13:25   Radar Reflectivity Surface Rainfall Retrieval with cGAN Algorithm: An Idealized Study Shujia Zhou NASA GSFC 0:15
13:40   Using Deep Neural Networks to Predict Air Quality from High Resolution Satellite Imagery Michael von Pohle Universities Space Research Association 0:15
13:55   Application of Machine Learning methods for Identifying Earth Science Datasets in Research Papers Irina Gerasimov NASA GSFC 0:15
14:10   Deep Learning-based Damage Mapping with InSAR Coherence Time Series Oliver Stephenson Caltech 0:15
14:25   Application of convolutional neural network models to generate gap-filled maps of aerosol optical depth from the Multi-angle Imaging SpectroRadiometer Kyo Lee NASA JPL 0:15
15:00 Break 0:15
15:15 Session 3: Data-Driven Science in Space Science Ashish Mahabal Caltech  
15:15   Astronomy and Data Science @ Caltech (Invited) George Djorgovski Caltech 0:15
15:30   Automating Life Detection using Lipid Detection in GCMS Data P. Michael Furlog NASA Ames 0:15
15:45   Stellar variability classification of TESS data using unsupervised learning Jeroen Audenaert Institute of Astronomy, KU Leuven 0:15
16:00   HelioAnalytics: A small field with big data science Barbara Thompson NASA GSFC 0:15
16:35 Posters — Day 1
AM

POSTPONED

8:00 Arrival/Registration Registration Miles Pellazar   1:00
9:00 Keynote Welcome and logistics Update Dan Crichton Leader, Center for Data Science and Technology 0:10
9:10   AI in Space Steve Chien Supervisor, Artificial Intelligence Group, JPL 0:45
9:55 Break 0:15
10:10 Session 4: AI in Space Ben Smith NASA JPL  
10:10   NASA New Observing System and AIST (Invited) Jacqueline Le Moigne NASA ESTO 0:15
10:25   Distributed Spacecraft Autonomy: Development of Swarm Autonomy Capability and Scalability for Spacecraft Jason Fugate NASA Ames 0:15
10:40   Adaptive Informative Planning for Mobile Robots with Deployable Sensors P. Michael Furlong NASA Ames 0:15
10:55   Barefoot Rover: a Sensor-Infused Rover Wheel Demonstrating In-Situ Engineering and Science Extractions using Machine Learning Yuliya Marchetti NASA JPL 0:15
11:10   Discussion     0:30
11:40 Lunch       1:30
PM  
13:10 Session 5: Mission Operations and Automation Becky Castano NASA JPL  
13:10   Preparing Spacecraft Mission Data for Machine Learning - Featurization of the Ground Data System Jack Lightholder NASA JPL 0:15
13:25   Deep Meta-Reinforcement Learning for Autonomous Space Guidance and Navigation Roberto Furfaro University of Arizona 0:15
13:40   Autonomous Assessment and Predictive Capabilities for Low-Altitude Urban Operations Wendy Okolo NASA Ames 0:15
13:55   Using Automated Scheduling for Analysis of the EMIT Mission Amruta Yelamanchili NASA JPL 0:15
14:10   Discussion     0:30
14:40 Break 0:15
14:55 Session 6: Engineering Applications Leigh Anne McMahon, Chair NASA MSFC  
14:55   Energy from AI: Ushering in a New Frontier in Smart Hydropower Generation through Artificial Intelligence Shahryar Khalique Ahmad University of Washington, Seattle 0:15
15:10   Probabilistic Models and Multivariate Analysis for the Prediction of Material Outgassing for Spacecraft Contamination John Alred California Institute of Technology 0:15
15:25   MesoNet: Teaching Physics to AI with Sparse Data to Accelerate Design Richard Otis NASA JPL 0:15
15:40   Unsupervised anomaly detetion in high-dimensional heterogeneous flight data using convolutional variational autoencoder Milad Memarzadeh USRA, NASA Ames Research Center 0:15
16:25 Posters — Day 2
AM

POSTPONED

8:00 Arrival/Registration Registration Miles Pellazar   1:00
9:00 Keynote Welcome and logistics Update Dan Crichton Leader, Center for Data Science and Technology 0:10
9:10   TBD Anima Anandkumar Caltech 0:45
9:55 Break 0:15
10:10 Session 7: Cross-cutting Data Science Applications Mike Little, Chair NASA GSFC  
10:10   Methodology Transfer in the era of Huge Datasets Ashish Mahabal Caltech 0:15
10:25   Predicting Observation Impact on Forecast Skill with Machine Learning Francois Vandenberghe Joint Center for Satellite Data Assimilation 0:15
10:40   Machine Learning for Automated Keyword Tagging Anthony Buonomo NASA 0:15
10:55   New modes of collaboration across NASA via data science: Progress through a space weather use case Ryan McGranaghan Atmosphere and Space Technology Research Associates 0:15
11:10   Discussion     0:30
11:40 Adjourn