Robert Granat, Ph.D.

Ph.D. in machine learning with domain expertise in carbon measurement, Earth science, and remote sensing

Research Expertise

Remote Sensing
Machine Learning
GHG Measurement
Geodesy
Atmospheric Science
Geochemistry and Petrology
Geophysics
Computational Theory and Mathematics
Hardware and Architecture
Software
Theoretical Computer Science
Applied Mathematics
Discrete Mathematics and Combinatorics
Statistics and Probability
Statistics, Probability and Uncertainty
Modeling and Simulation
Computer Science Applications
Astronomy and Astrophysics
Mechanics of Materials
Computational Mechanics
Space and Planetary Science
Earth-Surface Processes
Forestry
Soil Science
Aquatic Science
Oceanography
Ecology
Water Science and Technology
Geology
Geotechnical Engineering and Engineering Geology

About

Robert Granat, Ph.D. is a highly accomplished machine learning and remote sensing expert with extensive experience in research and development. He received his Ph.D. in Electrical Engineering in 2004 and his M.S. in Electrical Engineering in 1998. He has held various leadership positions in both academia and the private sector, including CTO and Head of Science at CarbonSpace Ltd, a company focused on developing novel methods for carbon measurement using satellite observations. Dr. Granat's expertise lies in the fields of machine learning, Earth science, and remote sensing technologies. He has a strong background in developing algorithms and software systems for remote sensing measurement technologies and data analysis. His work has been instrumental in advancing the understanding of climate change and its impacts on the environment. Prior to his work at CarbonSpace Ltd, Dr. Granat held several research positions at the Research Foundation of City University of New York and Jet Propulsion Laboratory (JPL). At JPL, he served as the Science Team Algorithms Lead for the OCO-2 mission, a satellite mission dedicated to measuring carbon dioxide levels in Earth's atmosphere. He also served as the Group Supervisor for the Machine Learning and Instrument Autonomy Group at JPL. Dr. Granat's contributions to the fields of machine learning, geophysics, and climate science have been recognized with numerous awards and publications. He is a member of several professional organizations, including the Institute of Electrical and Electronics Engineers (IEEE) and the American Geophysical Union (AGU). In addition to his professional achievements, Dr. Granat is also dedicated to sharing his knowledge and expertise with the next generation of engineers and scientists.

Legacy Map

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Publications

The Orbiting Carbon Observatory-2: first 18 months of science data products
Atmospheric Measurement Techniques
2017
Real-time Earthquake Location Using Kirchhoff Reconstruction
Bulletin of the Seismological Society of America
2005
iSERVO: Implementing the International Solid Earth Research Virtual Observatory by Integrating Computational Grid and Geographical Information Web Services
Pageoph Topical Volumes
Tests and tolerances for high-performance software-implemented fault detection
IEEE Transactions on Computers
2003
A Hidden Markov Model Based Tool for Geophysical Data Exploration
Earthquake Processes: Physical Modelling, Numerical Simulation and Data Analysis Part II
2002
iSERVO: Implementing the International Solid Earth Research Virtual Observatory by Integrating Computational Grid and Geographical Information Web Services
Pure and Applied Geophysics
2006
Exploration of Large Digital Sky Surveys
ESO ASTROPHYSICS SYMPOSIA
Nowcasting Earthquakes: Imaging the Earthquake Cycle in California With Machine Learning
Earth and Space Science
2021
Simulation-Based Uncertainty Quantification for Estimating Atmospheric CO$_2$ from Satellite Data
SIAM/ASA Journal on Uncertainty Quantification
2017
Software-implemented fault detection for high-performance space applications
Proceeding International Conference on Dependable Systems and Networks. DSN 2000
<title>Exploration of parameter spaces in a virtual observatory</title>
SPIE Proceedings
2001
QuakeSim and the Solid Earth Research Virtual Observatory
Pageoph Topical Volumes
Measuring Atmospheric Carbon Dioxide from the NASA Orbiting Carbon Observatory-2 (OCO-2)
Light, Energy and the Environment 2018 (E2, FTS, HISE, SOLAR, SSL)
2018
TCCON data from Jet Propulsion Laboratory, Pasadena, California, USA, Release GGG2014R0
Unknown Venue
A scripting based architecture for management of streams and services in real-time grid applications
CCGrid 2005. IEEE International Symposium on Cluster Computing and the Grid, 2005.
2005
Challenges for Cluster Analysis in a Virtual Observatory
Statistical Challenges in Astronomy
The On-Orbit Performance of the Orbiting Carbon Observatory-2 (OCO-2) Instrument and its Radiometrically Calibrated Products
Unknown Venue
2016
Clustering Analysis Methods for GNSS Observations: A Data‐Driven Approach to Identifying California's Major Faults
Earth and Space Science
2021
E-DECIDER: Using Earth Science Data and Modeling Tools to Develop Decision Support for Earthquake Disaster Response
Pure and Applied Geophysics
2014
Analysis of streaming GPS measurements of surface displacement through a web services environment
2007 IEEE Symposium on Computational Intelligence and Data Mining
2007
A Method of Hidden Markov Model Optimization for Use with Geophysical Data Sets
Lecture Notes in Computer Science
2003
Algorithm-based fault tolerance for spaceborne computing: basis and implementations
2000 IEEE Aerospace Conference. Proceedings (Cat. No.00TH8484)
Statistical Approaches to Detecting Transient Signals in GPS: Results from the 2009-2011 Transient Detection Exercise
Seismological Research Letters
2013
Simulating and Detecting Radiation-Induced Errors for Onboard Machine Learning
2009 Third IEEE International Conference on Space Mission Challenges for Information Technology
2009
Detecting Regional Events via Statistical Analysis of Geodetic Networks
Pageoph Topical Volumes
Improving access to geodetic imaging crustal deformation data using GeoGateway
Earth Science Informatics
2021
Building Sensor Filter Grids: Information Architecture for the Data Deluge
2005 First International Conference on Semantics, Knowledge and Grid
2005
QuakeSim: Integrated modeling and analysis of geologic and remotely sensed data
2012 IEEE Aerospace Conference
2012
QuakeSim: Web Services, Portals, and Infrastructure for Geophysics
2008 IEEE Aerospace Conference
2008
QuakeSim: Efficient Modeling of Sensor Web Data in a Web Services Environment
2008 IEEE Aerospace Conference
2008
GeoGateway: A system for analysis of UAVSAR data products
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
2016
Measuring atmospheric carbon dioxide from space with the Orbiting Carbon Observatory-2 (OCO-2)
Earth Observing Systems XX
2015
Estimating dynamic ionospheric changes without a priori models
Radio Science
2000
Integrating remotely sensed and ground observations for modeling, analysis, and decision support
2013 IEEE Aerospace Conference
2013
Analysis of emergent fault element behavior in Virtual California
Concurrency and Computation: Practice and Experience
2010
Modeling and On-the-Fly Solutions for Solid Earth Sciences: Web Services and Data Portal for Earthquake Early Warning System
IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium
2008
The Quakes Concept for Observing and Mitigating Natural Disasters
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium
2019
Understanding earthquake fault systems using QuakeSim analysis and data assimilation tools
2009 IEEE Aerospace conference
2009
The Quakes Analytic Center Framework for Addressing Diverse Spatiotemporal Scales of Tectonic and Earthquake Processes
IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium
2020
Nowcasting earthquakes
Earth and Space Science
2016
Effect of temporal aggregation on multiple time series in the frequency domain
Journal of Time Series Analysis
2013
Coseismic gravity changes of the 2011 Tohoku-Oki earthquake from satellite gravimetry
Geophysical Research Letters
2011
5Hz GPS seismology of the El Mayor-Cucapah earthquake: estimating the earthquake focal mechanism
Geophysical Journal International
2012
Buried Aseismic Slip and Off-Fault Deformation on the Southernmost San Andreas Fault triggered by the 2010 El Mayor Cucapah Earthquake revealed by UAVSAR
Unknown Venue
2021
Coal-rock Interface Recognition Based on Time Series Analysis
2010 International Conference on Computer Application and System Modeling (ICCASM 2010)
2010
A fast method for real-time anomaly detection using routing statistics
IEEE INFOCOM Workshops 2008
2008
Data mining as a foundation for science-enabling autonomy
IEEE Aerospace and Electronic Systems Magazine
2008
La Guardia Indígena Nasa y el Arte de la Resistencia Pacífica
Ra Ximhai
2008
Using Relocatable Bitstreams for Fault Tolerance
Second NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2007)
2007
Spatiotemporal filtering using principal component analysis and Karhunen‐Loeve expansion approaches for regional GPS network analysis
Journal of Geophysical Research: Solid Earth
2006
A community faulted-crust model using PYRAMID on cluster platforms
2004 IEEE International Conference on Cluster Computing (IEEE Cat. No.04EX935)
Induced deformation during tunnel excavation: Evidence from geodetic monitoring
Engineering Geology
2005
Nowcasting Earthquakes:Imaging the Earthquake Cycle in California with Machine Learning
Unknown Venue
2021
Clustering Analysis Methods for GNSS Observations: A Data-Driven Approach to Identifying California's Major Faults
Unknown Venue
2021

Education

Ph.D., Electrical Engineering / June, 2004

Los Angeles, California, United States of America

M.S., Electrical Engineering / October, 1998

Los Angeles, California, United States of America

California Institute of Technology

B.S., Computation and Neural Systems / April, 1996

Pasadena, California, United States of America

Experience

CarbonSpace Ltd

CTO / November, 2013Present

Machine Learning, Remote Sensing, Carbon Measurement, Atmospheric Science

Head of Science / April, 2023October, 2023

Machine Learning, Remote Sensing, Carbon Measurement, Atmospheric Science

Science Advisor / January, 2023March, 2023

Machine Learning, Remote Sensing, Carbon Measurement, Atmospheric Science

Research Foundation City University of New York

Senior Research Staff / January, 2020March, 2023

Dept. of Earth and Atmospheric Science (Machine Learning, GNSS, InSAR, Geophysics)

Jet Propulsion Laboratory

Science Team Algorithms Lead, OCO-2 Mission / March, 2013December, 2018

Project Management, Carbon Measurement, Uncertainty Quantification, Remote Sensing, Radiative Transfer

Group Supervisor, Machine Learning and Instrument Autonomy Group / April, 2008November, 2014

Line Management, Machine Learning, Remote Sensing, Earth Science

Senior Research Staff / May, 2000January, 2020

Machine Learning, Remote Sensing, Earth Science, Fault Tolerant Computing

Research Staff / April, 1996April, 2000

Scientific Modeling, Machine Learning, Supercomputing, Imaging Systems, Fault Tolerant Computing

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