Dr. Maria Sakovsky

Assistant Professor

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Biography

Maria Sakovsky’s work focuses on shape adaptation to realize space structures through reconfigurable geometry, stiffness, and non-mechanical performance (e.g., electromagnetic, optical). She places particular emphasis on the mechanics of thin fiber-reinforced composite structures and the interplay between composite material properties, structural geometry, and embedded functionality for actuation in lightweight structures. Her research has led to applications in deployable space structures, reconfigurable antennas, and soft robotics. She received a Bachelor's degree in Aerospace Engineering from the University of Toronto and completed both her Master's and PhD in Space Engineering at Caltech, where she developed a deployable satellite antenna based on origami concepts utilizing elastomer composites. Concurrently, she worked with NASA’s Jet Propulsion Laboratory on the development of cryogenically rated thin-ply composite antennas for deep space missions. She has been awarded the ETH Zurich Postdoctoral Fellowship, the DARPA Young Faculty Award, and recognized as a Rising Star in Mechanical Engineering by ASME.

Research Interests

Experience

Assistant Professor

— Present

Stanford University • Stanford, CA

Teaching and research in the Department of Aeronautics and Astronautics.

Awards

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ETH Zurich Postdoctoral Fellowship

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DARPA Young Faculty Award

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ASME Rising Star in Mechanical Engineering

Courses

AA 156 AA 280 AA 236A AA 190 AA 392 AA 199 AA 291 AA 290 AA 290S AA 114Q AA 236B

Requirements for Stanford University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:26
Reading
Required:26
Writing
Required:26
Speaking
Required:26
Total
Required:100
GRE General
Verbal
Required:160
Quantitative
Required:165
Analytical Writing
Required:4.5
Overall
Required:4.5
Prerequisites
Bachelor degree from an accredited institution Strong background in mathematics and programming
Application Checklist
  • Statement of Purpose
  • Three letters of recommendation
  • Official transcripts
  • Resume/CV
Specialization Notes

The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.