Clark Taylor
Associate Professor -- Electrical & Computer Engineering
Dayton, Ohio, United States
Summary
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SeniorClark Taylor is an Associate Professor of Electrical and Computer Engineering and director of the Autonomy & Navigation Technology (ANT) Center at the Air Force Institute of Technology, combining academic leadership with applied research in UAV video processing, estimation theory, and navigation. He earned his Ph.D. from UC San Diego and has over a decade of experience spanning faculty roles at BYU, senior research engineering at AFRL, and multiple Air Force research honors including an AFOSR Young Investigator Award. Taylor has authored around 100 publications and leads projects that bridge theory and fielded systems for autonomy and sensing. He contributes to open-source robotics tooling, notably helping stabilize and MSVC-enable the widely used GTSAM library, reflecting an emphasis on portability and practical deployment. Based in Dayton, Ohio, he brings a rare mix of rigorous academic scholarship, hands-on systems engineering, and institutional innovation in defense-focused autonomy.
10 years of coding experience
19 years of employment as a software developer
Github Skills (8)
gtsam10
c-language10
cmake10
cprogramming-language10
linear-algebra10
robotics9
eigen9
computer-vision9
Programming languages (5)
Github contributions (5)
borglab/gtsam
Jul 2019 - Jul 2019
GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:8 commits, 3 PRs, 21 comments in 6 days
Contributions summary:Clark's contributions primarily focused on resolving compilation issues and ensuring compatibility with the MSVC compiler for the GTSAM library. This involved modifying CMake configuration, fixing header inclusion problems, and adapting code to work with different compilers. The user also removed and subsequently restored certain functionalities like LieMatrix, LieVector, and LieScalar, indicating an effort to stabilize and maintain the library's core functionalities. Additionally, the user added documentation about GTSAM_EXPORT usage rules.
smoothingsparsec-plus-plushierarchicalpattern-recognition
cntaylor/gtsam-python-docker-vscode
Nov 2020 - Mar 2025
Contributions:18 pushes, 4 branches in 4 years 4 months
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