Jayson Boubin

Jayson Boubin
Binghamton University | SUNY Binghamton · Department of Computer Science

Doctor of Philosophy

About

22
Publications
3,308
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
153
Citations
Introduction
Jayson Boubin is an Assistant Professor working in the Department of Computer Science at Binghamton University. Jayson's research spans computer systems, artificial intelligence, and their applications. He focuses on Fully Autonomous Aerial Systems, UAV that think and act on their own. He has developed SoftwarePilot, an open source middleware for for fully autonomous aerial systems to further aerial autonomy research.
Additional affiliations
August 2017 - present
The Ohio State University
Position
  • PhD Student
Description
  • As a PhD student at OSU, I work Fully Autonomous Aerial Systems. FAAS are aerial robots that sense and react to their environment to accomplish complex goals with no human interaction. I work with my advisor, Dr. Chris Stewart, to build, test, and benchmark FAAS using SoftwarePilot, an open source FAAS middleware that we created.
Education
August 2017 - December 2020
The Ohio State University
Field of study
  • Computer Science
August 2013 - May 2017
Miami University
Field of study
  • Computer Science

Publications

Publications (22)
Conference Paper
Full-text available
Edge computing is a growing paradigm where compute resources are provisioned between data sources and the cloud to decrease compute latency from data transfer, lower costs, comply with security policies, and more. Edge systems are as varied as their applications, serving internet services, IoT, and emerging technologies. Due to the tight constraint...
Conference Paper
Full-text available
Spectral notching, a waveform design method used in signal processing and radar, mitigates interference caused by an ever-growing number of technologies which saturate the radio frequency (RF) spectrum. Online wave-form design is possible with current technology, but extant techniques can not meet real-time latency requirements on the low size weig...
Article
Full-text available
In recent years, neural networks have exploded in popularity, revolutionizing the domains of computer vision, natural language processing, and autonomous systems. This is due to neural networks ability to approximate complex non-linear functions. Despite their effectiveness, they generally require large labeled data sets and considerable processing...
Conference Paper
Full-text available
Control firmware in unmanned aircraft systems (UAS) manage the subsystems for in-flight dynamics, navigation and aircraft sensors. Computer systems on-board the aircraft and on gateway machines can now support rich features in the control firmware, such as GPS-driven waypoint missions and autonomy. However, the source code behind control firmware c...
Preprint
Full-text available
Autonomous systems (AS) carry out complex missions by continuously observing the state of their surroundings and taking actions toward a goal. Swarms of AS working together can complete missions faster and more effectively than single AS alone. To build swarms today, developers handcraft their own software for storing, aggregating, and learning fro...
Conference Paper
Full-text available
Unmanned aerial vehicles (UAVs) are gaining popularity in many governmental and civilian sectors. The combination of aerial mobility and data sensing capabilities facilitates previously impossible workloads. UAVs are normally piloted by remote operators who determine where to fly and when to sense data. Fully autonomous aerial systems (FAAS) have e...
Article
Full-text available
Unmanned aerial systems (UAS) are increasingly used in precision agriculture to collect crop health related data. UAS can capture data more often and more cost-effectively than sending human scouts into the field. However, in large crop fields, flight time, and hence data collection, is limited by battery life. In a conventional UAS approach, human...
Article
Full-text available
Rice is a globally important crop that will continue to play an essential role in feeding our world as we grapple with climate change and population growth. Lodging is a primary threat to rice production, decreasing rice yield, and quality. Lodging assessment is a tedious task and requires heavy labor and a long duration due to the vast land areas...
Conference Paper
Full-text available
Fully autonomous aerial systems (FAAS) are an increasingly relevant and intriguing research topic which require considerable systems support. FAAS use unmanned aerial vehicles and edge and cloud compute resources to dynamically sense and respond to their environments without human piloting. FAAS are useful in a number of domains, but are very diffi...
Chapter
Full-text available
Resource-limited embedded devices like Unmanned Aerial Vehicles (UAVs) often rely on offloading or simplified algorithms. Feature extraction such as Principle Component Analysis (PCA) can reduce transmission data without compromising accuracy, or even be used for applications like facial detection. This involves solving eigenvectors and values whic...
Conference Paper
Resource-limited embedded devices like Unmanned Aerial Vehicles (UAVs) often rely on offloading or simplified algorithms. Fea- ture extraction such as Principle Component Analysis (PCA) can reduce transmission data without compromising accuracy, or even be used for applications like facial detection. This involves solving eigenvectors and values wh...
Conference Paper
Full-text available
Fully autonomous aerial systems (FAAS) fly complex missions guided wholly by software. If users choose software, compute hardware and aircraft well, FAAS can complete missions faster and safer than unmanned aerial systems piloted by humans. On the other hand, poorly managed edge resources slow down missions, waste energy and inflate costs. This pap...
Conference Paper
Full-text available
Vehicular Ad-Hoc networks depend on clear communication between vehicles using radio frequency in order to operate effectively. Interference from existing technologies using the RF spectrum, e.g. IoT devices, UAV, mobile systems, calls into question the feasibility of future VANET systems without an ability to cut through the noise. One approach to...
Article
Full-text available
Automation is utilized heavily in many domains to increase productivity. With new, more complex automation, like the self-driving car, humans will be required to forego direct task performance in favor of maintaining a supervisory role over automation systems. While the use of these systems generally results in greater performance than humans perfo...
Conference Paper
Human-machine teaming is becoming an ever present aspect of executing modern military missions. In this paper, we discuss an extensive line of research currently being conducted at the Air Force Institute of Technology focused specifically on using simulation in the design of automated systems in order to improve human-automation interactions. This...

Network

Cited By

Projects

Projects (2)
Project
To create and study a middleware to facilitate fully autonomous aerial systems Website: reroutlab.org/softwarepilot Github: github.com/boubinjg/softwarepilot