David Vutetakis

Ph.D. graduate in computer science specializing in active perception, computer vision, motion planning, localization, and control.

About

Enthusiastic robotics researcher with a Ph.D. in Computer Science and over 8 years of multidisciplinary experience in autonomous robotics and unmanned aerial vehicles (UAV). Special expertise includes aerial and ground vehicle systems, software modeling and simulation, and algorithms related to autonomous planning and optimization, active perception, computer vision, mapping, motion planning and control, localization, and machine learning. Extensively experienced in both software engineering and hardware/software design, testing, and troubleshooting, with strong proficiency in C++, MATLAB, Python, and other languages. Demonstrated skills in cross-functional collaboration and leadership on multidisciplinary engineering teams for NASA, UNC Charlotte, and Clemson University. Eager to leverage passion and expertise to solve challenging research and development problems in the field of autonomous robotics.

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Education

University of North Carolina at Charlotte

Ph.D., Computer Science / December, 2023

Charlotte, North Carolina, United States of America

University of North Carolina at Charlotte

M.S., Applied Energy and Electromechanical Systems / August, 2016

Charlotte, North Carolina, United States of America

University of North Carolina at Charlotte

B.S., Electrical Engineering Technology / May, 2014

Charlotte, North Carolina, United States of America

Experience

University of North Carolina at Charlotte

PhD Research Assistant / August, 2021August, 2022

PhD Research Assistant / August, 2016May, 2020

Graduate Research Assistant / May, 2014August, 2016

Clemson University, International Center for Automotive Research

Research Scholar / July, 2020December, 2020

NASA Langley Research Center

Research Intern / May, 2015September, 2015

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