Dr. Dimitra Panagou

Associate Professor

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Biography

Dimitra Panagou received her Diploma and PhD degrees in Mechanical Engineering from the National Technical University of Athens, Greece, in 2006 and 2012, respectively. She became a faculty member in the Department of Aerospace Engineering at the University of Michigan in September 2014. Prior to her current position, she served as a postdoctoral research associate at the Coordinated Science Laboratory at the University of Illinois, Urbana-Champaign, from 2012 to 2014. She has also been a visiting research scholar at the GRASP Lab, University of Pennsylvania, and the Mechanical Engineering Department at the University of Delaware. Her research interests encompass multi-agent planning, control estimation, and the applications of safe and resilient unmanned aerial systems, as well as robotic networks and autonomous multi-vehicle systems across various domains. She has received several awards including the NASA Early Career Faculty Award in 2016 and the AFOSR Young Investigator Award in 2017, recognizing her contributions to aerospace and robotics research.

Research Interests

Awards

#2020

National Science Foundation CAREER Award

#2017

AFOSR Young Investigator Award

#2016

NASA Early Faculty Career Award

Courses

Aircraft Dynamics Control Guidance Aerospace Vehicles Nonlinear Systems Control Multi-Agent Control

Requirements for University of Michigan

Master Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Total
Required:84
GRE General
Verbal
Required:155
Verbal Percentile
Required:50
Quantitative
Required:168
Quantitative Percentile
Required:50
Analytical Writing
Required:3.6
Writing Percentile
Required:50
Prerequisites
Bachelor degree in engineering, physics, or mathematics Calculus Physics
Application Checklist
  • Rackham Graduate School Application
  • Official Transcripts
  • 3 Letters of Recommendation
  • Academic Statement of Purpose
  • Personal Statement
  • CV/Resume
Specialization Notes

Department of Electrical Engineering and Computer Science