Ryan Slater Email & Phone Number

Dayton, Ohio, United States

Cincinnati, Ohio, United States

Advisor: Dr. John GallagherThesis work includes developing evolutionary and reinforcement learning algorithms for the multi-objective, nonstationary, online problem of adapting flapping wing motion to mitigate thrust loss due to wing damagePublished - "Real-Time Learning of Wing Motion Correction in an Unconstrained Flapping-Wing Air Vehicle", IEEE

Fairborn, Ohio

Managed a team of 6 Agile developers, improving IT task response time by a matter of days by implementing scheduling, task priorities, project-specific teams, and a client feedback systemCreated and managed the official CSE Discord server of over 2,000 members and 30 professors, drastically increasing the inter-student and student-professor discussion.

Fairborn, Ohio, United States

RCMI (High Performance Computing Modernization Program)Modernized Kerberos management code by translating late 1990’s Bash, C Shell, Korn, and Perl scripts to PythonDeveloped a modular admin console for user management, creating a user interface capable of dynamically creating prompts based on function docstrings, saving administrators time managing users.

Fairborn, Ohio, United States

Automated cleaning and formatting of English/Chinese text corpora, completing the cleaning of over 100 GB of dataAutomated aggregation of TED Talks into a single English/Chinese dataset with image context, utilizing the Google Vision API to automatically extract relevant content from videosSaved developers hundreds of hours of manual labor by automating.

Dayton, Ohio, United States

Managed a team of 4 interns with the objective of installing over 2,000 phones for Dayton Public Schools, coordinating deployment schedules with interns and school staffCreated a system to maximize the number of phones deployed per day and minimizing drive time, causing the project to be completed 33% faster than anticipated

Fairborn, Ohio, United States

AFRL/RYDHDeveloped simple Arduino scripts for testing a new method of non-intrusive software analysis in which a physical connection to a running device is not needed to reverse engineer code structureDeveloped an object detection and tracking algorithm, capable of running on a Raspberry Pi, tracking with sub-inch accuracy at a framerate of over 30.

Fairborn, Ohio, United States

AFRL/RXCMSelf-taught Python and OpenCV, implemented a program for analyzing microscope images of metal alloy slices to provide rapid evaluation of manufacturing techniquesExisting methods were expensive and took up to 2 weeks per sample. Microscope image analysis code ran in at most 20 minutes, drastically saving time required to asses new alloys

Master Of Science - Ms, Computer Science

Bachelor'S Degree, Computer Engineering

Education record