Patrick Neary, Ph.D.

Applied AI researcher focused on edge computing environments with sensors

Research Expertise

Artificial Intelligence

Neural Networks

About

I've spent the past 20+ years working with various hardware-based systems including field spectrometers, EO/IR sensors, platforms communicating with the U2, AI algorithms working with satellite sensor data, to AI applied to denoising sensor for magnetic navigation. I currently work predominantly in Python and use Pytorch. In the past I've programmed in C, C++, C# and to a lesser degree, other programming languages. I have a variety of interests including algorithmic trading. I enjoy tinkering with my 3D printer.

Publications

Automatic Hyperparameter Tuning in Deep Convolutional Neural Networks Using Asynchronous Reinforcement Learning

2018 IEEE International Conference on Cognitive Computing (ICCC)

2018

Machine learning-based signal degradation models for attenuated underwater optical communication OAM beams

Optics Communications

2020

In SituMicrobial Detection in Mojave Desert Soil Using Native Fluorescence

Astrobiology

2012

CNN Classification Architecture Study for Turbulent Free-Space and Attenuated Underwater Optical OAM Communications

Applied Sciences

2020

Transport-based pattern recognition versus deep neural networks in underwater OAM communications

Journal of the Optical Society of America A

2021

Transport vs. Deep Neural Networks in OAM Underwater Communications

2020 Photonics North (PN)

2020

Plug and Play Deep Convolutional Neural Networks

Proceedings of the 11th International Conference on Agents and Artificial Intelligence

2019

42nd COSPAR Assembly

Life Sciences in Space Research

2018

Education

Utah State University

Ph.D., Computer Science / May, 2019

Logan, Utah, United States of America

Utah State University

M.S., Electrical Engineering / May, 2006

Logan, Utah, United States of America

Utah State University

B.S., Electrical Engineering / May, 2003

Logan, Utah, United States of America

Experience

Space Dynamics Laboratory/Naval Research Laboratory

Research Scientist / August, 2008 — May, 2022

AI Research Scientist while I was at NRL (3 years). Senior embedded software engineer at Space Dynamics Lab.

ML/AI Applied Researcher / May, 2022 — Present

Lead AI team applying ML to magnetic navigation problem.

Links & Social Media

Research Web Site

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