Students

Mentoring the Next Generation
My group includes graduate and undergraduate student advisees. Graduate students attend the UT ASE/EM degree programs, while undergraduates could be from any UT department. All students work closely with the professional scientists at UTCSR.
Current PhD and MS

Skeens, J.

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Past PhD graduates

Skeens, J.

CLASS OF 2025

on vector ties from signal-level integration of analysis of VLBI and GNSS

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Rivera, J.

CLASS OF 2025

on laser metrology for vector ties, and their impact on realizations of reference frames

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Jacob, G.

CLASS OF 2024

on the use of Total Variation for estimation of satellite gravity fields

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Vassallo, C.

CLASS OF 2024

on the use of machine learning for drought characterization from total-water storage data

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Krichman, B.

CLASS OF 2023

on the intercomparison of water balance methods using satellite gravity data

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McCullough, C.

CLASS OF 2017

on the uncertainty quantification of satellite gravity fields

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Sakumura, C

CLASS OF 2016

on GRACE data assimilation in land surface models

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Bonin, J

CLASS OF 2010

(co-supervised) on high-frequency information content in GRACE data

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Save, H

CLASS OF 2009

(co-supervised) on the regularization of the gravity field estimation problem)

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Past MS graduates

Fulhorst, J

CLASS OF 2024

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Zinni, A

CLASS OF 202x

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Rosen, M

CLASS OF 2021

Hybrid SST and quantum gravity gradiometer architectures for spaceborne gravity measurements

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Smith, M

CLASS OF 2019

use of accelerations for gravity field estimation

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Köhne, T

CLASS OF 2019

point mass estimation from satellite tracking

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Widner, M

CLASS OF 2018

a study of novel satellite constellations for gravity field measurement

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Wolfenbarger, N

CLASS OF 2017

on the precise estimation of attitude from star trackers

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King, J

CLASS OF 2017

error analysis of attitude estimation for ICESat-2

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Fulcher, R

CLASS OF 2016

on the thermal characteristics of GRACE satellites

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McWilliams, H

CLASS OF 2015

on the validation of the 1-cm orbit for LEO satellites

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McCandless, S E

CLASS OF 2014

on the multi-sensor data fusion for drought monitoring from GRACE

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McCullough, C

CLASS OF 2013

on the numerical methods for next generation gravity missions

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Sakumura, C

CLASS OF 2013

on the ensemble averaging of gravity field solutions

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Krishnan, S

CLASS OF 2012

on the empirical reconstruction of accelerations from orbits

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Pini, A

CLASS OF 2012

on the role of ground track repeats and GRACE data quality

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Benegalrao, S

CLASS OF 2012

on the sensitivity analysis of attitude control systems

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Alumni Trajectories

Our Master of Science graduates have contributed fundamental analysis to satellite constellations, thermal characteristics, and data quality across the GRACE and ICESat-2 mission lifespan.

Quantum Gravity Architectures

Precision Attitude Control

The CSR Alumni
0.1

Rosen, M. (2021)

Hybrid SST and quantum gravity gradiometer architectures.

0.2

Smith, M. (2019)

Use of accelerations for gravity field estimation.

0.3

Köhne, T. (2019)

Point mass estimation from satellite tracking.

0.4

Widner, M. (2018)

A study of novel satellite constellations for gravity field measurement.

0.5

Wolfenbarger, N. (2017)

On the precise estimation of attitude from star trackers.

0.6

King, J. (2017)

Error analysis of attitude estimation for ICESat-2.

0.7

Fulcher, R. (2016)

On the thermal characteristics of GRACE satellites.

0.8

McWilliams, H. (2015)

On the validation of the 1-cm orbit for LEO satellites.

0.9

McCandless, S E. (2014)

Multi-sensor data fusion for drought monitoring from GRACE.

1.0

McCullough, C. (2013)

On the numerical methods for next generation gravity missions.

1.1

Sakumura, C. (2013)

On the ensemble averaging of gravity field solutions.

1.2

Benegalaro, S. (2012)

Sensitivity analysis of attitude control systems.