A 450-MHz RISC microprocessor with enhanced instruction set and copper interconnect. - Carmine Nicoletta; Jose Alvarez; Eric Barkin; Chai-Chin Chao; Brad R. Johnson; Franklin M. Lassandro; Paresh Patel; Douglas Reid; Hector Sanchez; Joshua Siegel; Michael Snyder; Steven Sullivan; et al. (IEEE J. Solid State Circuits, 1999)

A versatile 3.3/2.5/1.8-V CMOS I/O driver built in a 0.2-μm, 3.5-nm Tox, 1.8-V CMOS technology. - Hector Sanchez; Joshua Siegel; Carmine Nicoletta; James P. Nissen; José Alvarez (IEEE J. Solid State Circuits, 1999)

Conversations with connected vehicles. - Simon Mayer; Joshua E. Siegel (IOT, 2015)

Smartphone-Based Vehicular Tire Pressure and Condition Monitoring. - Joshua Siegel; Rahul Bhattacharyya; Sanjay E. Sarma; Ajay Deshpande (IntelliSys (1), 2016)

Engine Misfire Detection with Pervasive Mobile Audio. - Joshua Siegel; Sumeet Kumar; Isaac Ehrenberg; Sanjay E. Sarma (ECML/PKDD (3), 2016)

Air filter particulate loading detection using smartphone audio and optimized ensemble classification. - Joshua Siegel; Rahul Bhattacharyya; Sumeet Kumar; Sanjay E. Sarma (Eng. Appl. Artif. Intell., 2017)

Automotive Diagnostics as a Service: An Artificially Intelligent Mobile Application for Tire Condition Assessment. - Joshua E. Siegel; Yongbin Sun; Sanjay E. Sarma (AIMS, 2018)

VirtualCar: Virtual Mirroring of IoT-Enabled Avacars in AR, VR and Desktop Applications. - Georgios Pappas; Joshua E. Siegel; Konstantinos Politopoulos (ICAT-EGVE (Posters and Demos), 2018)

Real-time Deep Neural Networks for internet-enabled arc-fault detection. - Joshua E. Siegel; Shane Pratt; Yongbin Sun; Sanjay E. Sarma (Eng. Appl. Artif. Intell., 2018)

The Future Internet of Things: Secure, Efficient, and Model-Based. - Joshua E. Siegel; Sumeet Kumar; Sanjay E. Sarma (IEEE Internet Things J., 2018)

Algorithms and Architectures: A Case Study in When, Where and How to Connect Vehicles. - Joshua Siegel; Dylan C. Erb; Sanjay E. Sarma (IEEE Intell. Transp. Syst. Mag., 2018)

A Survey of the Connected Vehicle Landscape - Architectures, Enabling Technologies, Applications, and Development Areas. - Joshua E. Siegel; Dylan C. Erb; Sanjay E. Sarma (IEEE Trans. Intell. Transp. Syst., 2018)

Towards Industrial IoT-AR Systems using Deep Learning-Based Object Pose Estimation. - Yongbin Sun; Sai Nithin Reddy Kantareddy; Joshua Siegel; Alexandre Armengol-Urpi; Xiaoyu Wu; Hongyu Wang; Sanjay E. Sarma (IPCCC, 2019)

MagicHand: Interact with IoT Devices in Augmented Reality Environment. - Yongbin Sun; Alexandre Armengol-Urpi; Sai Nithin Reddy Kantareddy; Joshua Siegel; Sanjay E. Sarma (VR, 2019)

Automated Non-Destructive Inspection of Fused Filament Fabrication Components Using Thermographic Signal Reconstruction. - Joshua E. Siegel; Maria F. Beemer; Steven M. Shepard (CoRR, 2019)

A gamified simulator and physical platform for self-driving algorithm training and validation. - Joshua E. Siegel; Georgios Pappas; Konstantinos Politopoulos; Yongbin Sun (CoRR, 2019)

A Cognitive Protection System for the Internet of Things. - Joshua Siegel; Sanjay E. Sarma (IEEE Secur. Priv., 2019)

Using Open Channels to Trigger the Invited, Unintended Consequences of the Internet of Things. - Joshua Eric Siegel; Sanjay E. Sarma (IEEE Secur. Priv., 2019)

Digital Metrology for the Internet of Things. - Tuukka Mustapää; Juuso Autiosalo; Pekka Nikander; Joshua E. Siegel; Raine Viitala (GIoTS, 2020)

PointGrow: Autoregressively Learned Point Cloud Generation with Self-Attention. - Yongbin Sun; Yue Wang; Ziwei Liu; Joshua E. Siegel; Sanjay E. Sarma (WACV, 2020)

Assuring Automotive Data and Software Integrity Employing Distributed Hash Tables and Blockchain. - Gregory Falco; Joshua E. Siegel (CoRR, 2020)

Towards Safer Self-Driving Through Great PAIN (Physically Adversarial Intelligent Networks). - Piyush Gupta; Demetris Coleman; Joshua E. Siegel (CoRR, 2020)

Surveying Off-Board and Extra-Vehicular Monitoring and Progress Towards Pervasive Diagnostics. - Joshua E. Siegel; Umberto Coda (CoRR, 2020)

Safe energy savings through context-aware hot water demand prediction. - Joshua E. Siegel; Aniruddha Das; Yongbin Sun; Shane Pratt (Eng. Appl. Artif. Intell., 2020)

Twinbase: Open-Source Server Software for the Digital Twin Web. - Juuso Autiosalo; Joshua Siegel; Kari Tammi (IEEE Access, 2021)

Game and Simulation Design for Studying Pedestrian-Automated Vehicle Interactions. - Georgios Pappas; Joshua E. Siegel; Jacob Rutkowski; Andrea Schaaf (CoRR, 2021)

Cyberphysical Sequencing for Distributed Asset Management with Broad Traceability. - Joshua Siegel; Gregory Falco (CoRR, 2021)

Driving Data Dissemination: The "Term" Governing Connected Car Information. - Dajiang Suo; Joshua Siegel; Alexander Soley (IEEE Intell. Transp. Syst. Mag., 2021)

Automated Vehicles Sharing the Road: Surveying Detection and Localization of Pedalcyclists. - Jevin Barnett; Nicholas Gizinski; Eduardo Mondragón-Parra; Joshua Siegel; Daniel Morris 002; Timothy Gates; Eva Kassens-Noor; Peter Savolainen (IEEE Trans. Intell. Veh., 2021)

Gamification and the Internet of Things in Education. - Georgios Pappas; Joshua Siegel; Ioannis N. Vogiatzakis; Konstantinos Politopoulos (Intelligent Techniques in the Educational Process (1), 2022)

Integrating Game-based Learning in Distance Learning platforms: The case of "Ancient Theater of Philippi" tool. - Georgios Pappas; Antonis Petrides; Vayos Liapis; Joshua Siegel (IMET, 2022)

The AI Mechanic: Acoustic Vehicle Characterization Neural Networks. - Adam M. Terwilliger; Joshua E. Siegel (CoRR, 2022)

Improving Misfire Fault Diagnosis with Cascading Architectures via Acoustic Vehicle Characterization. - Adam M. Terwilliger; Joshua E. Siegel (Sensors, 2022)

Towards Physically Adversarial Intelligent Networks (PAINs) for Safer Self-Driving. - Piyush Gupta; Demetris Coleman; Joshua E. Siegel (IEEE Control. Syst. Lett., 2023)

Morals, ethics, and the technology capabilities and limitations of automated and self-driving vehicles. - Joshua Siegel; Georgios Pappas (AI Soc., 2023)

SafeDriveRL: Combining Non-cooperative Game Theory with Reinforcement Learning to Explore and Mitigate Human-based Uncertainty for Autonomous Vehicles. - Kenneth H. Chan; Sol Zilberman; Nick Polanco; Joshua E. Siegel; Betty H. C. Cheng (SEAMS@ICSE, 2024)

Developing a Taxonomy of Elements Adversarial to Autonomous Vehicles. - Mohammadali Saffary; Nishan Inampudi; Joshua E. Siegel (CoRR, 2024)

Developing, Analyzing, and Evaluating Vehicular Lane Keeping Algorithms Under Dynamic Lighting and Weather Conditions Using Electric Vehicles. - Michael Khalfin; Jack Volgren; Matthew Jones; Luke LeGoullon; Joshua Siegel; Chan-Jin Chung (CoRR, 2024)

Impact of Network Topology on Byzantine Resilience in Decentralized Federated Learning. - Siddhartha Bhattacharya; Daniel Helo; Joshua Siegel (CoRR, 2024)

Vehicle-to-Everything (V2X) Communication: A Roadside Unit for Adaptive Intersection Control of Autonomous Electric Vehicles. - Michael Evans; Marcial Machado; Rickey Johnson; Anna Vadella; Luis Escamilla; Beñat Froemming-Aldanondo; Tatiana Rastoskueva; Milan Jostes; Devson Butani; Ryan Kaddis; Chan-Jin Chung; Joshua Siegel (CoRR, 2024)

Developing, Analyzing, and Evaluating Self-Drive Algorithms Using Drive-by-Wire Electric Vehicles. - Beñat Froemming-Aldanondo; Tatiana Rastoskueva; Michael Evans; Marcial Machado; Anna Vadella; Rickey Johnson; Luis Escamilla; Milan Jostes; Devson Butani; Ryan Kaddis; Chan-Jin Chung; Joshua Siegel (CoRR, 2024)