The Role of Simulation in Designing Human-Automation Systems. - Christina F. Rusnock; Jayson G. Boubin; Joseph J. Giametta; Tyler J. Goodman; Anthony J. Hillesheim; Sungbin Kim; David R. Meyer; Michael E. Watson (HCI (14), 2016)

Poster Abstract: Characterizing Computational Workloads in UAV Applications. - Jayson Boubin; Shiqi Zhang 008; Venkata Mandadapu; Christopher Stewart (IoTDI, 2018)

Managing edge resources for fully autonomous aerial systems. - Jayson G. Boubin; Naveen T. R. Babu; Christopher Stewart; John Chumley; Shiqi Zhang 008 (SEC, 2019)

Autonomic Computing Challenges in Fully Autonomous Precision Agriculture. - Jayson Boubin; John Chumley; Christopher Stewart; Sami Khanal (ICAC, 2019)

NeuroWav: Toward Real-Time Waveform Design for VANETs using Neural Networks. - Jayson Boubin; Aaron M. Jones; Trevor J. Bihl (VNC, 2019)

SoftwarePilot: Fully Autonomous Aerial Systems Made Easier. - Jayson Boubin; Christopher Stewart (ACSOS Companion, 2020)

An Architecture for Solving the Eigenvalue Problem on Embedded FPGAs. - Alwyn Burger; Patrick Urban; Jayson Boubin; Gregor Schiele (ARCS, 2020)

Adaptive autonomous UAV scouting for rice lodging assessment using edge computing with deep learning EDANet. - Ming-Der Yang; Jayson G. Boubin; Hui Ping Tsai; Hsin-Hung Tseng; Yu-Chun Hsu; Christopher Stewart (Comput. Electron. Agric., 2020)

Whole-Field Reinforcement Learning: A Fully Autonomous Aerial Scouting Method for Precision Agriculture. - Zichen Zhang 004; Jayson Boubin; Christopher Stewart; Sami Khanal (Sensors, 2020)

Comparison of Object Detectors for Fully Autonomous Aerial Systems Performance. - Bowen Li; Nat Shineman; Jayson Boubin; Christopher Stewart (ICPE (Companion), 2021)

Programming and Deployment of Autonomous Swarms using Multi-Agent Reinforcement Learning. - Jayson Boubin; Codi Burley; Peida Han; Bowen Li; Barry Porter; Christopher Stewart (CoRR, 2021)

UAV Swarms in Smart Agriculture: Experiences and Opportunities. - Chengyi Qu; Jayson Boubin; Durbek Gafurov; Jianfeng Zhou; Noel Aloysius; Henry Nguyen; Prasad Calyam (e-Science, 2022)

MARbLE: Multi-Agent Reinforcement Learning at the Edge for Digital Agriculture. - Jayson Boubin; Codi Burley; Peida Han; Bowen Li; Barry Porter; Christopher Stewart (SEC, 2022)

Poster Abstract: Data-Parallel Versus Task-Parallel Swarms for Small Unmanned Aerial Systems. - Jayson Boubin; Zichen Zhang 004; John Chumley; Christopher Stewart (IoTDI, 2022)

Lean Neural Networks for Real-time Embedded Spectral Notching Waveform Design. - Anthony Baietto; Jayson Boubin; Patrick Farr; Trevor J. Bihl (ISIE, 2022)

Scalable distributed microservices for autonomous UAV swarms: poster abstract. - Kevyn Angueira Irizarry; Zichen Zhang 004; Christopher Stewart; Jayson Boubin (Middleware Demos/Posters, 2022)

Adaptive Deployment for Autonomous Agricultural UAV Swarms. - Jayson Boubin; Zichen Zhang 004; John Chumley; Christopher Stewart (SenSys, 2022)

PROWESS: An Open Testbed for Programmable Wireless Edge Systems. - Jayson Boubin; Avishek Banerjee; Jihoon Yun; Haiyang Qi; Yuting Fang; Steve Chang; Kannan Srinivasan 001; Rajiv Ramnath; Anish Arora (PEARC, 2022)

Lean Neural Networks for Autonomous Radar Waveform Design. - Anthony Baietto; Jayson Boubin; Patrick Farr; Trevor J. Bihl; Aaron M. Jones; Christopher Stewart (Sensors, 2022)

Poster Abstract: Automatic Deployment Right-Sizing Through Hyperparameter Optimization. - Aniruddha Rakshit; Jayson Boubin (IoTDI, 2023)

Righteous: Automatic Right-Sizing for Complex Edge Deployments. - Aniruddha Rakshit; Salil Reddy; Rajiv Ramnath; Anish Arora; Jayson Boubin (SEC, 2024)