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Nerem, R. Steven

Professor

Positions

Research Areas research areas

Research

research overview

  • Dr. Nerem's research is focused on measuring changes in the Earth using satellite measurements. He has used satellite altimeter measurements to measure sea level change as well as satellite gravity measurements to measure changes in the distribution of water and ice on the Earth. He is considered one of the leading experts on observations of sea level change. He is also active in projects exploring applications of GPS, as well as innovative uses of astrodynamics and precision orbit determination.

keywords

  • Satellite geodesy, gravity field determination, sea level change, crustal motion, astrodynamics, orbit determination

Publications

selected publications

Teaching

courses taught

  • ASEN 2012 - Experimental and Computational Methods in Aerospace Engineering Sciences
    Primary Instructor - Fall 2020 / Fall 2022
    Introduces statistical, experimental, and computational methods used in aerospace engineering sciences. Usage of MatLab is extensive.
  • ASEN 3200 - Orbital Mechanics/Attitude Dynamics and Control
    Primary Instructor - Fall 2019
    Presents the fundamentals of orbital mechanics, 3D rigid body dynamics and satellite attitude dynamics and controls.
  • ASEN 3700 - Orbital Mechanics/Attitude Dynamics and Control
    Primary Instructor - Fall 2024
    Presents the fundamentals of orbital mechanics, 3D rigid body dynamics and satellite attitude dynamics and controls.
  • ASEN 5210 - Remote Sensing Seminar
    Primary Instructor - Fall 2022
    Covers subjects pertinent to remote sensing of the Earth and space, including oceanography, meteorology, vegetation monitoring, geology, geodesy and space science, with emphasis on techniques for extracting geophysical information from data from airborne and spaceborne platforms. Course requirement for Remote Sensing Certificate. Formerly ASEN 6210.
  • ASEN 5307 - Engineering Data Analysis Methods
    Primary Instructor - Fall 2018 / Fall 2020 / Fall 2022 / Fall 2023 / Fall 2024
    Gives students broad exposure to a variety of traditional and modern statistical methods for filtering and analyzing data. Topics include estimation methods, principal component analyses and spectral analyses. Introduces these methods and provides practical experience with their use. Students carry out problem assignments.
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