George Mason University
George Mason University Mason
George Mason University

Jill Nelson

Associate Professor, Electrical and Computer Engineering

Contact Information MORE LESS

  • 703-993-1598 (office)
  • Nguyen Engineering Building, 3216
    4400 University Drive, MS 1G5
    Fairfax, VA 22030

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Jill Nelson is an associate professor in the Department of Electrical and Computer Engineering at George Mason University. Dr. Nelson's research focus is in statistical signal processing, machine learning, and detection and estimation. She has considered applications in target tracking, intelligent sonar systems, and physical layer communications. Her work on sonar tracking and automation is funded by the Office of Naval Research. Dr. Nelson also conducts research in engineering education and STEM faculty development, funded by the National Science Foundation. Dr. Nelson is a 2010 recipient of the NSF CAREER Award. She is a member of Phi Beta Kappa, Tau Beta Pi, Eta Kappa Nu, and the IEEE Signal Processing, Communications, and Education Societies.


BS, Electrical Engineering, Rice University (1998)

BA, Economics , Rice University (1998)

MS, Electrical Engineering, University of Illinois (2001)

PhD, Electrical Engineering, University of Illinois (2005)

More Information

Faculty Rank: Associate Professor

Personal Websites:


2018 - 2021: Collaborative Research: Building a Culture of Active Learning through Course-Based Communities of Transformation. Funded by the National Science Foundation.

2018 - 2021: Building a Goal Reasoning Architecture for Cognitive Active Sonar. Funded by the Office of Naval Research.

2018 - 2021: Life STEM EAGER: Exploring the Relationship between High School Mathematics and Bioscience, Standardized Testing and College Performance in Biotechnology-related Fields. Funded by the National Science Foundation. 

2016 - 2020: Collaborative Research: RAPID – EclipseMob - Crowdsourcing a Spatial Temporal Study of Low Frequency Propagation Effects Due to a Total Solar Eclipse. Funded by the National Science Foundation.

Research Interests

Statistical and Adaptive Signal Processing; Detection and Estimation for Applications in Sonar, Target Tracking, and Communications; Machine Learning; Wireless Communications; STEM Education; Faculty Teaching Development and Adoption of Student-Centered Teaching Practices