Control and simulation of robotic swarms in heterogeneous environments. - Ted Shaneyfelt; Matthew A. Joordens; Kranthimanoj Nagothu; John Prevost; Anjan Kumar Ray; S. S. Mirsaeid Ghazi; Mo M. Jamshidi (SMC, 2008)

Simulation of underwater robots using MS Robot Studio©. - John Prevost; Matthew A. Joordens; Mo M. Jamshidi (SoSE, 2008)

Prediction of cloud data center networks loads using stochastic and neural models. - John Prevost; Kranthimanoj Nagothu; Brian Todd Kelley; Mohammad Jamshidi 001 (SoSE, 2011)

Optimal update frequency model for physical machine state change and virtual machine placement in the cloud. - John Prevost; Kranthimanoj Nagothu; Brian Todd Kelley; Mo M. Jamshidi (SoSE, 2013)

Efficient Mobile Computation Using the Cloud. - S. M. Azharul Karim; John J. Prevost (FiCloud, 2015)

Cloud-based realtime robotic Visual SLAM. - Patrick Benavidez; Mohan Muppidi; Paul Rad; John J. Prevost; Mo M. Jamshidi; Lutcher Brown (SysCon, 2015)

Securing Cloud Containers Using Quantum Networking Channels. - Brian Todd Kelley; John J. Prevost; Paul Rad; Aqsa Fatima (SmartCloud, 2016)

Survey of automated software deployment for computational and engineering research. - James O. Benson; John J. Prevost; Paul Rad (SysCon, 2016)

Task Allocation Using Parallelized Clustering and Auctioning Algorithms for Heterogeneous Robotic Swarms Operating on a Cloud Network. - Jonathan Lwowski; Patrick Benavidez; John J. Prevost; Mo M. Jamshidi (Autonomy and Artificial Intelligence, 2017)

Pedestrian detection system for smart communities using deep Convolutional Neural Networks. - Jonathan Lwowski; Prasanna Kolar; Patrick Benavidez; Paul Rad; John J. Prevost; Mo M. Jamshidi (SoSE, 2017)

A Comprehensive Solution for Research-Oriented Cloud Computing. - Mevlut A. Demir; Weslyn Wagner; Divyaansh Dandona; John J. Prevost (CLOUD, 2018)

The Utilization of Virtual Reality as a System of Systems Research Tool. - Jonathan Lwowski; Matthew A. Joordens; Abhijit Majumdar; Patrick Benavidez; John J. Prevost; Mo M. Jamshidi (SoSE, 2018)

Blockchain Design for Trusted Decentralized IoT Networks. - Juah C. Song; Mevlut A. Demir; John J. Prevost; Paul Rad (SoSE, 2018)

Distributed Edge Cloud R-CNN for Real Time Object Detection. - Joshua Herrera; Mevlut A. Demir; Parsa Yousefi; John J. Prevost; Paul Rad (WAC, 2018)

Stereo Camera Based Formation Control for Unmanned Aerial Vehicles. - Jonathan Lwowski; Abhijit Majumdar; Patrick Benavidez; John J. Prevost; Mo M. Jamshidi (WAC, 2018)

A Wearable IoT with Complex Artificial Perception Embedding for Alzheimer Patients. - Mehdi Roopaei; Paul Rad; John J. Prevost (WAC, 2018)

Data-Driven Fault Detection of Un-Manned Aerial Vehicles Using Supervised Learning Over Cloud Networks. - Parsa Yousefi; Hamid Fekriazgomi; Mevlut A. Demir; John J. Prevost; Mo M. Jamshidi (WAC, 2018)

Bird Flocking Inspired Formation Control for Unmanned Aerial Vehicles Using Stereo Camera. - Jonathan Lwowski; Abhijit Majumdar; Patrick Benavidez; John J. Prevost; Mo M. Jamshidi (IEEE Syst. J., 2019)

Towards the Optimal Placement of Containerized Applications on a Cloud-Edge Network. - James Nelson; Jonathan Lwowski; Patrick Benavidez; John J. Prevost; Mo M. Jamshidi (SysCon, 2020)

Graph Based Root Cause Analysis in Cloud Data Center. - Divyaansh Dandona; Mevlut A. Demir; John J. Prevost (SoSE, 2020)

Improving Applications of Systems of Systems using Ultra Fast Instance Segmentation. - Michael DeMoor; John J. Prevost (SoSE, 2020)

Enabling an IoT System of Systems through Auto Sound Synthesis in Silent Video with DNN. - Sanchita Ghose; John J. Prevost (SoSE, 2020)

Human Action Performance Using Deep Neuro-Fuzzy Recurrent Attention Model. - Nihar Bendre; Nima Ebadi; John J. Prevost; Peyman Najafirad (IEEE Access, 2020)

Synthetic ECG Signal Generation Using Generative Neural Networks. - Edmond Adib; Fatemeh Afghah; John J. Prevost (CoRR, 2021)

AutoFoley: Artificial Synthesis of Synchronized Sound Tracks for Silent Videos With Deep Learning. - Sanchita Ghose; John J. Prevost (IEEE Trans. Multim., 2021)

Arrhythmia Classification Using CGAN-Augmented ECG Signals. - Edmond Adib; Fatemeh Afghah; John J. Prevost (BIBM, 2022)

Automated Consulting for Cloud Native Architectures. - Ashley Rosilier; Mevlut A. Demir; John J. Prevost (SoSE, 2022)

Delay Tolerant Networks for Industry 4.0. - Jose Garcia; Mevlut A. Demir; Gabriela F. Ciocarlie; John J. Prevost (SoSE, 2023)

Synthetic ECG Signal Generation Using Probabilistic Diffusion Models. - Edmond Adib; Amanda S. Fernandez; Fatemeh Afghah; John J. Prevost (IEEE Access, 2023)

FoleyGAN: Visually Guided Generative Adversarial Network-Based Synchronous Sound Generation in Silent Videos. - Sanchita Ghose; John J. Prevost (IEEE Trans. Multim., 2023)

An End-to-End Framework for Verifying and Validating Manufacturing Design Integrity. - Matthew Jablonski; Kyle Everett; Gabriela F. Ciocarlie; Zoran Duric; Chris Hathhorn; Jeffrey C. Kimmell; Vladimir Orlyanchik; John Prevost; Gordon Robertson; Curtis Taylor; Duminda Wijesekera; Kyle Saleeby (Critical Infrastructure Protection, 2024)

SoundEYE: AI-Driven Sensory Augmentation System for Visually Impaired Individuals through Natural Sound. - Sanchita Ghose; Krishna Roy; John J. Prevost (SOSE, 2024)

ACLASMA: Amplifying Cosine Losses for Anomalous Sound Monitoring in Automation. - Michael DeMoor; John Jeff Prevost (IEEE Access, 2024)

Realigned Softmax Warping for Deep Metric Learning. - Michael DeMoor; John J. Prevost (CoRR, 2024)

Supply Chain Malware Detection via Classical and Quantum Kernel Methods in Embedded Systems. - Sthefanie Jofer Gomes Passo; Vishal H. Kothavade; John J. Prevost (DSN-W, 2025)