Robert Granat, Ph.D.
Ph.D. in machine learning with domain expertise in carbon measurement, Earth science, and remote sensing
Research Expertise
About
Publications
The Orbiting Carbon Observatory-2: first 18 months of science data products
Atmospheric Measurement Techniques / Feb 15, 2017
Eldering, A., O’Dell, C. W., Wennberg, P. O., Crisp, D., Gunson, M. R., Viatte, C., Avis, C., Braverman, A., Castano, R., Chang, A., Chapsky, L., Cheng, C., Connor, B., Dang, L., Doran, G., Fisher, B., Frankenberg, C., Fu, D., Granat, R., … Yoshimizu, J. (2017). The Orbiting Carbon Observatory-2: first 18 months of science data products. Atmospheric Measurement Techniques, 10(2), 549–563. https://doi.org/10.5194/amt-10-549-2017
Real-time Earthquake Location Using Kirchhoff Reconstruction
Bulletin of the Seismological Society of America / Apr 01, 2005
Baker, T. (2005). Real-time Earthquake Location Using Kirchhoff Reconstruction. Bulletin of the Seismological Society of America, 95(2), 699–707. https://doi.org/10.1785/0120040123
iSERVO: Implementing the International Solid Earth Research Virtual Observatory by Integrating Computational Grid and Geographical Information Web Services
Pageoph Topical Volumes
Aktas, M., Aydin, G., Donnellan, A., Fox, G., Granat, R., Grant, L., Lyzenga, G., McLeod, D., Pallickara, S., Parker, J., Pierce, M., Rundle, J., Sayar, A., & Tullis, T. (n.d.). iSERVO: Implementing the International Solid Earth Research Virtual Observatory by Integrating Computational Grid and Geographical Information Web Services. In Computational Earthquake Physics: Simulations, Analysis and Infrastructure, Part II (pp. 2281–2296). Birkhäuser Basel. https://doi.org/10.1007/978-3-7643-8131-8_3
Tests and tolerances for high-performance software-implemented fault detection
IEEE Transactions on Computers / May 01, 2003
Turmon, M., Granat, R., Katz, D. S., & Lou, J. Z. (2003). Tests and tolerances for high-performance software-implemented fault detection. IEEE Transactions on Computers, 52(5), 579–591. https://doi.org/10.1109/tc.2003.1197125
A Hidden Markov Model Based Tool for Geophysical Data Exploration
Earthquake Processes: Physical Modelling, Numerical Simulation and Data Analysis Part II / Jan 01, 2002
Granat, R., & Donnellan, A. (2002). A Hidden Markov Model Based Tool for Geophysical Data Exploration. In Earthquake Processes: Physical Modelling, Numerical Simulation and Data Analysis Part II (pp. 2271–2283). Birkhäuser Basel. https://doi.org/10.1007/978-3-0348-8197-5_7
iSERVO: Implementing the International Solid Earth Research Virtual Observatory by Integrating Computational Grid and Geographical Information Web Services
Pure and Applied Geophysics / Dec 01, 2006
Aktas, M., Aydin, G., Donnellan, A., Fox, G., Granat, R., Grant, L., Lyzenga, G., McLeod, D., Pallickara, S., Parker, J., Pierce, M., Rundle, J., Sayar, A., & Tullis, T. (2006). iSERVO: Implementing the International Solid Earth Research Virtual Observatory by Integrating Computational Grid and Geographical Information Web Services. Pure and Applied Geophysics, 163(11–12), 2281–2296. https://doi.org/10.1007/s00024-006-0137-8
Exploration of Large Digital Sky Surveys
ESO ASTROPHYSICS SYMPOSIA
Djorgovski, S. G., Brunner, R. J., Mahabal, A. A., Odewahn, S. C., Carvalho, R. R. de, Gal, R. R., Stolorz, P., Granat, R., Curkendall, D., Jacob, J., & Castro, S. (n.d.). Exploration of Large Digital Sky Surveys. In Mining the Sky (pp. 305–322). Springer-Verlag. https://doi.org/10.1007/10849171_37
Nowcasting Earthquakes: Imaging the Earthquake Cycle in California With Machine Learning
Earth and Space Science / Nov 24, 2021
Rundle, J. B., Donnellan, A., Fox, G., Crutchfield, J. P., & Granat, R. (2021). Nowcasting Earthquakes: Imaging the Earthquake Cycle in California With Machine Learning. Earth and Space Science, 8(12). Portico. https://doi.org/10.1029/2021ea001757
Simulation-Based Uncertainty Quantification for Estimating Atmospheric CO$_2$ from Satellite Data
SIAM/ASA Journal on Uncertainty Quantification / Jan 01, 2017
Hobbs, J., Braverman, A., Cressie, N., Granat, R., & Gunson, M. (2017). Simulation-Based Uncertainty Quantification for Estimating Atmospheric CO$_2$ from Satellite Data. SIAM/ASA Journal on Uncertainty Quantification, 5(1), 956–985. https://doi.org/10.1137/16m1060765
Software-implemented fault detection for high-performance space applications
Proceeding International Conference on Dependable Systems and Networks. DSN 2000
Turmon, M., Granat, R., & Katz, D. (n.d.). Software-implemented fault detection for high-performance space applications. Proceeding International Conference on Dependable Systems and Networks. DSN 2000. https://doi.org/10.1109/icdsn.2000.857522
<title>Exploration of parameter spaces in a virtual observatory</title>
SPIE Proceedings / Nov 01, 2001
Djorgovski, S. G., Mahabal, A., Brunner, R. J., Williams, R. E., Granat, R., Curkendall, D., Jacob, J. C., & Stolorz, P. (2001). <title>Exploration of parameter spaces in a virtual observatory</title> In J.-L. Starck & F. D. Murtagh (Eds.), Astronomical Data Analysis. SPIE. https://doi.org/10.1117/12.447189
QuakeSim and the Solid Earth Research Virtual Observatory
Pageoph Topical Volumes
Donnellan, A., Rundle, J., Fox, G., McLeod, D., Grant, L., Tullis, T., Pierce, M., Parker, J., Lyzenga, G., Granat, R., & Glasscoe, M. (n.d.). QuakeSim and the Solid Earth Research Virtual Observatory. In Computational Earthquake Physics: Simulations, Analysis and Infrastructure, Part II (pp. 2263–2279). Birkhäuser Basel. https://doi.org/10.1007/978-3-7643-8131-8_2
Measuring Atmospheric Carbon Dioxide from the NASA Orbiting Carbon Observatory-2 (OCO-2)
Light, Energy and the Environment 2018 (E2, FTS, HISE, SOLAR, SSL) / Jan 01, 2018
Crisp, D. (2018). Measuring Atmospheric Carbon Dioxide from the NASA Orbiting Carbon Observatory-2 (OCO-2). Light, Energy and the Environment 2018 (E2, FTS, HISE, SOLAR, SSL). https://doi.org/10.1364/fts.2018.jt1a.2
TCCON data from Jet Propulsion Laboratory, Pasadena, California, USA, Release GGG2014R0
TCCON data from Jet Propulsion Laboratory, Pasadena, California, USA, Release GGG2014R0. (n.d.). Copernicus GmbH. https://doi.org/10.14291/tccon.ggg2014.jpl01.r0/1149163
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. / Jan 01, 2005
Gadgil, H., Fox, G., Pallickara, S., Pierce, M., & Granat, R. (2005). 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. https://doi.org/10.1109/ccgrid.2005.1558633
Challenges for Cluster Analysis in a Virtual Observatory
Statistical Challenges in Astronomy
Djorgovski, S. G., Brunner, R., Mahabal, A., Williams, R., Granat, R., & Stolorz, P. (n.d.). Challenges for Cluster Analysis in a Virtual Observatory. In Statistical Challenges in Astronomy (pp. 127–141). Springer-Verlag. https://doi.org/10.1007/0-387-21529-8_9
The On-Orbit Performance of the Orbiting Carbon Observatory-2 (OCO-2) Instrument and its Radiometrically Calibrated Products
Oct 04, 2016
Crisp, D., Pollock, H. R., Rosenberg, R., Chapsky, L., Lee, R. A. M., Oyafuso, F. A., Frankenberg, C., O’Dell, C. W., Bruegge, C. J., Doran, G. B., Eldering, A., Fisher, B. M., Fu, D., Gunson, M. R., Mandrake, L., Osterman, G. B., Schwandner, F. M., Sun, K., Taylor, T. E., … Wunch, D. (2016). The On-Orbit Performance of the Orbiting Carbon Observatory-2 (OCO-2) Instrument and its Radiometrically Calibrated Products. https://doi.org/10.5194/amt-2016-281
Clustering Analysis Methods for GNSS Observations: A Data‐Driven Approach to Identifying California's Major Faults
Earth and Space Science / Oct 29, 2021
Granat, R., Donnellan, A., Heflin, M., Lyzenga, G., Glasscoe, M., Parker, J., Pierce, M., Wang, J., Rundle, J., & Ludwig, L. G. (2021). Clustering Analysis Methods for GNSS Observations: A Data‐Driven Approach to Identifying California’s Major Faults. Earth and Space Science, 8(11). Portico. https://doi.org/10.1029/2021ea001680
E-DECIDER: Using Earth Science Data and Modeling Tools to Develop Decision Support for Earthquake Disaster Response
Pure and Applied Geophysics / Apr 08, 2014
Glasscoe, M. T., Wang, J., Pierce, M. E., Yoder, M. R., Parker, J. W., Burl, M. C., Stough, T. M., Granat, R. A., Donnellan, A., Rundle, J. B., Ma, Y., Bawden, G. W., & Yuen, K. (2014). E-DECIDER: Using Earth Science Data and Modeling Tools to Develop Decision Support for Earthquake Disaster Response. Pure and Applied Geophysics, 172(8), 2305–2324. https://doi.org/10.1007/s00024-014-0824-9
Analysis of streaming GPS measurements of surface displacement through a web services environment
2007 IEEE Symposium on Computational Intelligence and Data Mining / Jan 01, 2007
Granat, R., Aydin, G., Pierce, M., Qi, Z., & Bock, Y. (2007). Analysis of streaming GPS measurements of surface displacement through a web services environment. 2007 IEEE Symposium on Computational Intelligence and Data Mining. https://doi.org/10.1109/cidm.2007.368951
A Method of Hidden Markov Model Optimization for Use with Geophysical Data Sets
Lecture Notes in Computer Science / Jan 01, 2003
Granat, R. A. (2003). A Method of Hidden Markov Model Optimization for Use with Geophysical Data Sets. In Computational Science — ICCS 2003 (pp. 892–901). Springer Berlin Heidelberg. https://doi.org/10.1007/3-540-44863-2_88
Algorithm-based fault tolerance for spaceborne computing: basis and implementations
2000 IEEE Aerospace Conference. Proceedings (Cat. No.00TH8484)
Turmon, M., & Granat, R. (n.d.). Algorithm-based fault tolerance for spaceborne computing: basis and implementations. 2000 IEEE Aerospace Conference. Proceedings (Cat. No.00TH8484). https://doi.org/10.1109/aero.2000.878453
Statistical Approaches to Detecting Transient Signals in GPS: Results from the 2009-2011 Transient Detection Exercise
Seismological Research Letters / May 01, 2013
Granat, R., Parker, J., Kedar, S., Dong, D., Tang, B., & Bock, Y. (2013). Statistical Approaches to Detecting Transient Signals in GPS: Results from the 2009-2011 Transient Detection Exercise. Seismological Research Letters, 84(3), 444–454. https://doi.org/10.1785/0220130039
Simulating and Detecting Radiation-Induced Errors for Onboard Machine Learning
2009 Third IEEE International Conference on Space Mission Challenges for Information Technology / Jul 01, 2009
Granat, R., Wagstaff, K. L., Bornstein, B., Tang, B., & Turmon, M. (2009, July). Simulating and Detecting Radiation-Induced Errors for Onboard Machine Learning. 2009 Third IEEE International Conference on Space Mission Challenges for Information Technology. https://doi.org/10.1109/smc-it.2009.22
Detecting Regional Events via Statistical Analysis of Geodetic Networks
Pageoph Topical Volumes
Granat, R. (n.d.). Detecting Regional Events via Statistical Analysis of Geodetic Networks. In Computational Earthquake Physics: Simulations, Analysis and Infrastructure, Part II (pp. 2497–2512). Birkhäuser Basel. https://doi.org/10.1007/978-3-7643-8131-8_17
Improving access to geodetic imaging crustal deformation data using GeoGateway
Earth Science Informatics / Jan 18, 2021
Donnellan, A., Parker, J., Heflin, M., Glasscoe, M., Lyzenga, G., Pierce, M., Wang, J., Rundle, J., Ludwig, L. G., Granat, R., Mirkhanian, M., & Pulver, N. (2021). Improving access to geodetic imaging crustal deformation data using GeoGateway. Earth Science Informatics, 15(3), 1513–1525. https://doi.org/10.1007/s12145-020-00561-7
Building Sensor Filter Grids: Information Architecture for the Data Deluge
2005 First International Conference on Semantics, Knowledge and Grid / Jan 01, 2005
Fox, G. C., Aktas, M. S., Aydin, G., Donnellan, A., Gadgil, H., Granat, R., Pallickara, S., Parker, J., Pierce, M. E., Oh, S., Rundle, J., Sayar, A., & Scharber, M. (2005). Building Sensor Filter Grids: Information Architecture for the Data Deluge. 2005 First International Conference on Semantics, Knowledge and Grid. https://doi.org/10.1109/skg.2005.48
QuakeSim: Integrated modeling and analysis of geologic and remotely sensed data
2012 IEEE Aerospace Conference / Mar 01, 2012
Donnellan, A., Parker, J., Granat, R., De Jong, E., Suzuki, S., Pierce, M., Fox, G., Rundle, J., McLeod, D., Al-Ghanmi, R., & Ludwig, L. G. (2012, March). QuakeSim: Integrated modeling and analysis of geologic and remotely sensed data. 2012 IEEE Aerospace Conference. https://doi.org/10.1109/aero.2012.6187219
QuakeSim: Web Services, Portals, and Infrastructure for Geophysics
2008 IEEE Aerospace Conference / Mar 01, 2008
Pierce, M. E., Fox, G. C., Aydin, G., Qi, Z., Donnellan, A., Parker, J. W., & Granat, R. (2008, March). QuakeSim: Web Services, Portals, and Infrastructure for Geophysics. 2008 IEEE Aerospace Conference. https://doi.org/10.1109/aero.2008.4526277
QuakeSim: Efficient Modeling of Sensor Web Data in a Web Services Environment
2008 IEEE Aerospace Conference / Mar 01, 2008
Donnellan, A., Parker, J., Granat, R., Fox, G., Pierce, M., Rundle, J., McLeod, D., Al-Ghanmi, R., Grant, L., & Brooks, W. (2008, March). QuakeSim: Efficient Modeling of Sensor Web Data in a Web Services Environment. 2008 IEEE Aerospace Conference. https://doi.org/10.1109/aero.2008.4526453
GeoGateway: A system for analysis of UAVSAR data products
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) / Jul 01, 2016
Donnellan, A., Parker, J., Glasscoe, M., Granat, R., Pierce, M., Wang, J., Ma, Y., Ludwig, L. G., & Rundle, J. (2016, July). GeoGateway: A system for analysis of UAVSAR data products. 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). https://doi.org/10.1109/igarss.2016.7729046
Measuring atmospheric carbon dioxide from space with the Orbiting Carbon Observatory-2 (OCO-2)
Earth Observing Systems XX / Sep 08, 2015
Crisp, D. (2015). Measuring atmospheric carbon dioxide from space with the Orbiting Carbon Observatory-2 (OCO-2). In J. J. Butler, X. (Jack) Xiong, & X. Gu (Eds.), SPIE Proceedings. SPIE. https://doi.org/10.1117/12.2187291
Estimating dynamic ionospheric changes without a priori models
Radio Science / Mar 01, 2000
Granat, R. A., & Na, H. (2000). Estimating dynamic ionospheric changes without a priori models. Radio Science, 35(2), 341–349. Portico. https://doi.org/10.1029/1999rs900109
Integrating remotely sensed and ground observations for modeling, analysis, and decision support
2013 IEEE Aerospace Conference / Mar 01, 2013
Donnellan, A., Glasscoe, M., Parker, J. W., Granat, R., Pierce, M., Jun Wang, Fox, G., McLeod, D., Rundle, J., Heien, E., & Grant Ludwig, L. (2013, March). Integrating remotely sensed and ground observations for modeling, analysis, and decision support. 2013 IEEE Aerospace Conference. https://doi.org/10.1109/aero.2013.6497163
Analysis of emergent fault element behavior in Virtual California
Concurrency and Computation: Practice and Experience / Jul 26, 2010
Glasscoe, M. T., Granat, R. A., Rundle, J. B., Rundle, P. B., Donnellan, A., & Kellogg, L. H. (2010). Analysis of emergent fault element behavior in Virtual California. Concurrency and Computation: Practice and Experience, 22(12), 1665–1683. Portico. https://doi.org/10.1002/cpe.1546
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 / Jan 01, 2008
Bock, Y., Crowell, B., Prawirodirdjo, L., Jamason, P., Chang, R.-J., Fang, P., Squibb, M., Pierce, M., Gao, X., Webb, F., Kedar, S., Granat, R., Parker, J., & Dong, D. (2008). 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. https://doi.org/10.1109/igarss.2008.4779672
The Quakes Concept for Observing and Mitigating Natural Disasters
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium / Jul 01, 2019
Donnellan, A., Pierce, M., Wang, J., Ben-Zion, Y., Lou, Y., Padgett, C., Parker, J., Hawkins, B., Granat, R., Glasscoe, M., Rundle, J., & Ludwig, L. G. (2019, July). The Quakes Concept for Observing and Mitigating Natural Disasters. IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium. https://doi.org/10.1109/igarss.2019.8900214
Understanding earthquake fault systems using QuakeSim analysis and data assimilation tools
2009 IEEE Aerospace conference / Mar 01, 2009
Donnellan, A., Parker, J., Glasscoe, M., Granat, R., Rundle, J., McLeod, D., Al-Ghanmi, R., & Grant, L. (2009, March). Understanding earthquake fault systems using QuakeSim analysis and data assimilation tools. 2009 IEEE Aerospace Conference. https://doi.org/10.1109/aero.2009.4839497
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 / Sep 26, 2020
Donnellan, A., Parker, J., Granat, R., Glasscoe, M., Hawkins, B., Rundle, J., Ludwig, L. G., Pierce, M., & Wang, J. (2020, September 26). 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. https://doi.org/10.1109/igarss39084.2020.9324195
Nowcasting earthquakes
Earth and Space Science / Nov 01, 2016
Rundle, J. B., Turcotte, D. L., Donnellan, A., Grant Ludwig, L., Luginbuhl, M., & Gong, G. (2016). Nowcasting earthquakes. Earth and Space Science, 3(11), 480–486. Portico. https://doi.org/10.1002/2016ea000185
Effect of temporal aggregation on multiple time series in the frequency domain
Journal of Time Series Analysis / Jun 13, 2013
Hassler, U. (2013). Effect of temporal aggregation on multiple time series in the frequency domain. Journal of Time Series Analysis, 34(5), 562–573. Portico. https://doi.org/10.1111/jtsa.12032
Coseismic gravity changes of the 2011 Tohoku-Oki earthquake from satellite gravimetry
Geophysical Research Letters / Apr 01, 2011
Matsuo, K., & Heki, K. (2011). Coseismic gravity changes of the 2011 Tohoku-Oki earthquake from satellite gravimetry: GRAVITY CHANGES BY TOHOKU-OKI EARTHQUAKE. Geophysical Research Letters, 38(7), n/a-n/a. Portico. https://doi.org/10.1029/2011gl049018
5Hz GPS seismology of the El Mayor-Cucapah earthquake: estimating the earthquake focal mechanism
Geophysical Journal International / Aug 07, 2012
Zheng, Y., Li, J., Xie, Z., & Ritzwoller, M. H. (2012). 5Hz GPS seismology of the El Mayor-Cucapah earthquake: estimating the earthquake focal mechanism: GPS seismology of El Mayor-Cucapah earthquake. Geophysical Journal International, 190(3), 1723–1732. https://doi.org/10.1111/j.1365-246x.2012.05576.x
Buried Aseismic Slip and Off-Fault Deformation on the Southernmost San Andreas Fault triggered by the 2010 El Mayor Cucapah Earthquake revealed by UAVSAR
Feb 02, 2021
Parker, J., Bilham, R., Donnellan, A., Grant Ludwig, L., Pierce, M., Wang, J., & Mowery, N. (2021). Buried Aseismic Slip and Off-Fault Deformation on the Southernmost San Andreas Fault triggered by the 2010 El Mayor Cucapah Earthquake revealed by UAVSAR. https://doi.org/10.1002/essoar.10506047.1
Coal-rock Interface Recognition Based on Time Series Analysis
2010 International Conference on Computer Application and System Modeling (ICCASM 2010) / Oct 01, 2010
Baoping Wang, Zengcai Wang, & Shuliang Zhu. (2010, October). Coal-rock Interface Recognition Based on Time Series Analysis. 2010 International Conference on Computer Application and System Modeling (ICCASM 2010). https://doi.org/10.1109/iccasm.2010.5620422
A fast method for real-time anomaly detection using routing statistics
IEEE INFOCOM Workshops 2008 / Apr 01, 2008
Booker, G. (2008, April). A fast method for real-time anomaly detection using routing statistics. IEEE INFOCOM Workshops 2008. https://doi.org/10.1109/infocom.2008.4544604
Data mining as a foundation for science-enabling autonomy
IEEE Aerospace and Electronic Systems Magazine / Nov 01, 2008
Stolorz, P., Roden, J., & Granat, R. (2008). Data mining as a foundation for science-enabling autonomy. IEEE Aerospace and Electronic Systems Magazine, 23(11), 19–24. https://doi.org/10.1109/maes.2008.4693986
La Guardia Indígena Nasa y el Arte de la Resistencia Pacífica
Ra Ximhai / Dec 31, 2008
Salazar Zarco, A. L. (2008). La Guardia Indígena Nasa y el Arte de la Resistencia Pacífica. Ra Ximhai, 831–839. https://doi.org/10.35197/rx.04.03.2008.16.as
Using Relocatable Bitstreams for Fault Tolerance
Second NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2007) / Aug 01, 2007
Montminy, D. P., Baldwin, R. O., Williams, P. D., & Mullins, B. E. (2007, August). Using Relocatable Bitstreams for Fault Tolerance. Second NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2007). https://doi.org/10.1109/ahs.2007.108
Spatiotemporal filtering using principal component analysis and Karhunen‐Loeve expansion approaches for regional GPS network analysis
Journal of Geophysical Research: Solid Earth / Mar 01, 2006
Dong, D., Fang, P., Bock, Y., Webb, F., Prawirodirdjo, L., Kedar, S., & Jamason, P. (2006). Spatiotemporal filtering using principal component analysis and Karhunen‐Loeve expansion approaches for regional GPS network analysis. Journal of Geophysical Research: Solid Earth, 111(B3). Portico. https://doi.org/10.1029/2005jb003806
A community faulted-crust model using PYRAMID on cluster platforms
2004 IEEE International Conference on Cluster Computing (IEEE Cat. No.04EX935)
Parker, J., Lyzenga, G., Norton, C., Tisdale, E., & Donnellan, A. (n.d.). A community faulted-crust model using PYRAMID on cluster platforms. 2004 IEEE International Conference on Cluster Computing (IEEE Cat. No.04EX935). https://doi.org/10.1109/clustr.2004.1392656
Induced deformation during tunnel excavation: Evidence from geodetic monitoring
Engineering Geology / Jun 01, 2005
Kontogianni, V. A., & Stiros, S. C. (2005). Induced deformation during tunnel excavation: Evidence from geodetic monitoring. Engineering Geology, 79(1–2), 115–126. https://doi.org/10.1016/j.enggeo.2004.10.012
Nowcasting Earthquakes:Imaging the Earthquake Cycle in California with Machine Learning
Mar 28, 2021
Rundle, J. B., Donnellan, A., Fox, G., Crutchfield, J. P., & Granat, R. A. (2021). Nowcasting Earthquakes:Imaging the Earthquake Cycle in California with Machine Learning. https://doi.org/10.1002/essoar.10506614.1
Clustering Analysis Methods for GNSS Observations: A Data-Driven Approach to Identifying California's Major Faults
Feb 04, 2021
Granat, R. A., Donnellan, A., Heflin, M. B., Lyzenga, G., Glasscoe, M. T., Parker, J., Pierce, M., Wang, J., Rundle, J. B., & Grant Ludwig, L. (2021). Clustering Analysis Methods for GNSS Observations: A Data-Driven Approach to Identifying California’s Major Faults. https://doi.org/10.1002/essoar.10506075.1
Education
Ph.D., Electrical Engineering / June, 2004
M.S., Electrical Engineering / October, 1998
California Institute of Technology
B.S., Computation and Neural Systems / April, 1996
Experience
CarbonSpace Ltd
CTO / November, 2013 — Present
Machine Learning, Remote Sensing, Carbon Measurement, Atmospheric Science
Head of Science / April, 2023 — October, 2023
Machine Learning, Remote Sensing, Carbon Measurement, Atmospheric Science
Science Advisor / January, 2023 — March, 2023
Machine Learning, Remote Sensing, Carbon Measurement, Atmospheric Science
Research Foundation City University of New York
Senior Research Staff / January, 2020 — March, 2023
Dept. of Earth and Atmospheric Science (Machine Learning, GNSS, InSAR, Geophysics)
Jet Propulsion Laboratory
Science Team Algorithms Lead, OCO-2 Mission / March, 2013 — December, 2018
Project Management, Carbon Measurement, Uncertainty Quantification, Remote Sensing, Radiative Transfer
Group Supervisor, Machine Learning and Instrument Autonomy Group / April, 2008 — November, 2014
Line Management, Machine Learning, Remote Sensing, Earth Science
Senior Research Staff / May, 2000 — January, 2020
Machine Learning, Remote Sensing, Earth Science, Fault Tolerant Computing
Research Staff / April, 1996 — April, 2000
Scientific Modeling, Machine Learning, Supercomputing, Imaging Systems, Fault Tolerant Computing
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