Dr. Keith Legrand

Assistant Professor

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Biography

Keith LeGrand is an Assistant Professor in the School of Aeronautics and Astronautics at Purdue University. He earned his Ph.D. in Aerospace Engineering from Cornell University in 2022, and holds both an M.S. and B.S. in Aerospace Engineering from Missouri University of Science and Technology. His research focuses on the intersection of probabilistic estimation, autonomy, and space systems, with an emphasis on enabling intelligent sensing and decision-making in complex orbital environments. LeGrand's work develops advanced Bayesian filtering and random finite set (RFS) theory as well as information-driven sensor management methods to estimate, track, and characterize objects in dynamic and uncertain regimes, including cislunar space. His applications involve angles-only orbit determination, multi-sensor data fusion, and autonomous tasking for space domain awareness, aiming to enhance the resilience and autonomy of future spaceflight systems for missions in the Earth–Moon system.

Research Interests

Awards

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Air Force Office Scientific Research Young Investigator Program Award

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International Society Information Fusion Young Investigator Award

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Paper Award, Advanced Maui Optical Space Surveillance Technologies Conference

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E.F. Bruhn Teaching Award

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Runner-up Student Paper Award, International Conference Information Fusion

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Student Paper Award, International Conference Information Fusion

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Mission Innovator Award

Requirements for Purdue University

Master Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:22
Reading
Required:22
Writing
Required:22
Speaking
Required:22
Total
Required:100
IELTS
Listening
Required:7
Reading
Required:7
Writing
Required:7
Speaking
Required:7
Overall
Required:7.5
Duolingo
Overall Score
Required:135
Overall
Required:135
Prerequisites
Bachelor's degree in CS or related field Foundational concepts of computer science Data structures Computer architecture Operating systems Mathematics through differential equations Linear and matrix algebra
Application Checklist
  • Official Transcripts
  • Academic Statement of Purpose
  • Personal History Statement
  • Resume
  • Three Letters of Recommendation
  • CS Supplementary Form
Specialization Notes

GRE is not required.