Joshua E. Siegel

22 papers A 1Journal 16Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Generic Drone Simulator: Design, Development, and User Testing in a Virtual Search and Rescue Mission.
IEEE Computer Graphics and Applications
Georgios Pappas, Dimitrios Lappas, Panagiotis Karampelas, Joshua E. Siegel, Ioannis Templalexis, Stavros Stavrou, Sriram Krishnan
2024 J jnl
Developing a Taxonomy of Elements Adversarial to Autonomous Vehicles.
CoRR
Mohammadali Saffary, Nishan Inampudi, Joshua E. Siegel
2024 — conf
SafeDriveRL: Combining Non-cooperative Game Theory with Reinforcement Learning to Explore and Mitigate Human-based Uncertainty for Autonomous Vehicles.
SEAMS@ICSE
Kenneth H. Chan, Sol Zilberman, Nick Polanco, Joshua E. Siegel, Betty H. C. Cheng
2023 J jnl
Towards Physically Adversarial Intelligent Networks (PAINs) for Safer Self-Driving.
IEEE Control. Syst. Lett.
Piyush Gupta, Demetris Coleman, Joshua E. Siegel
2022 J jnl
Improving Misfire Fault Diagnosis with Cascading Architectures via Acoustic Vehicle Characterization.
Sensors
Adam M. Terwilliger, Joshua E. Siegel
2022 J jnl
The AI Mechanic: Acoustic Vehicle Characterization Neural Networks.
CoRR
Adam M. Terwilliger, Joshua E. Siegel
2021 J jnl
Game and Simulation Design for Studying Pedestrian-Automated Vehicle Interactions.
CoRR
Georgios Pappas, Joshua E. Siegel, Jacob Rutkowski, Andrea Schaaf
2020 J jnl
Assuring Automotive Data and Software Integrity Employing Distributed Hash Tables and Blockchain.
CoRR
Gregory Falco, Joshua E. Siegel
2020 — conf
Digital Metrology for the Internet of Things.
GIoTS
Tuukka Mustapää, Juuso Autiosalo, Pekka Nikander, Joshua E. Siegel, Raine Viitala
2020 A conf
PointGrow: Autoregressively Learned Point Cloud Generation with Self-Attention.
WACV
Yongbin Sun, Yue Wang, Ziwei Liu, Joshua E. Siegel, Sanjay E. Sarma
2020 J jnl
Safe energy savings through context-aware hot water demand prediction.
Eng. Appl. Artif. Intell.
Joshua E. Siegel, Aniruddha Das, Yongbin Sun, Shane Pratt
2020 J jnl
Surveying Off-Board and Extra-Vehicular Monitoring and Progress Towards Pervasive Diagnostics.
CoRR
Joshua E. Siegel, Umberto Coda
2020 J jnl
Towards Safer Self-Driving Through Great PAIN (Physically Adversarial Intelligent Networks).
CoRR
Piyush Gupta, Demetris Coleman, Joshua E. Siegel
2019 J jnl
A gamified simulator and physical platform for self-driving algorithm training and validation.
CoRR
Joshua E. Siegel, Georgios Pappas, Konstantinos Politopoulos, Yongbin Sun
2019 J jnl
Automated Non-Destructive Inspection of Fused Filament Fabrication Components Using Thermographic Signal Reconstruction.
CoRR
Joshua E. Siegel, Maria F. Beemer, Steven M. Shepard
2018 J jnl
A Survey of the Connected Vehicle Landscape - Architectures, Enabling Technologies, Applications, and Development Areas.
IEEE Trans. Intell. Transp. Syst.
Joshua E. Siegel, Dylan C. Erb, Sanjay E. Sarma
2018 — conf
Automotive Diagnostics as a Service: An Artificially Intelligent Mobile Application for Tire Condition Assessment.
AIMS
Joshua E. Siegel, Yongbin Sun, Sanjay E. Sarma
2018 J jnl
PointGrow: Autoregressively Learned Point Cloud Generation with Self-Attention.
CoRR
Yongbin Sun, Yue Wang, Ziwei Liu, Joshua E. Siegel, Sanjay E. Sarma
2018 J jnl
Real-time Deep Neural Networks for internet-enabled arc-fault detection.
Eng. Appl. Artif. Intell.
Joshua E. Siegel, Shane Pratt, Yongbin Sun, Sanjay E. Sarma
2018 J jnl
The Future Internet of Things: Secure, Efficient, and Model-Based.
IEEE Internet Things J.
Joshua E. Siegel, Sumeet Kumar, Sanjay E. Sarma
2018 — conf
VirtualCar: Virtual Mirroring of IoT-Enabled Avacars in AR, VR and Desktop Applications.
ICAT-EGVE (Posters and Demos)
Georgios Pappas, Joshua E. Siegel, Konstantinos Politopoulos
2015 — conf
Conversations with connected vehicles.
IOT
Simon Mayer, Joshua E. Siegel