Conference articles – The DeepTech Lab at Michigan State University

Impact of the COVID-19 Pandemic on Robofest: A Longitudinal Analysis of STEM Education Outcomes

In 15th IEEE Integrated STEM Education Conference, 2025
Chung, Chan-Jin and Siegel, Joshua

A Gamified Virtual Library Towards Enhancing Student Engagement In Distance Learning

In 19th annual International Technology, Education and Development Conference, 2025
Pappas, Georgios and Themistocleous, Panagiotis and Nicodemou, Efstathia and Constantinou, Evgenia and Siegel, Joshua

Comparing Traditional Computer Vision Algorithms and Deep Convolutional Neural Networks as Self Driving Algorithms for Use in Dynamic Conditions

In 2023 IEEE MIT Undergraduate Research Technology Conference, 2023
Shah, Shilpi and Franz, Brendan and Forgach, Travis and Jostes, Milan and Siegel, Joshua and Chung, Chan-Jin

Vehicle-to-Everything Communication Using a Roadside Unit for Over-the-Horizon Object Awareness

In IEOM International Conference on Smart Mobility and Vehicle Electrification, 2023
Khalfin, Michael and Volgren, Jack and LeGoullon, Luke and Shah, Shilpi and Forgach, Travis and Jones, Matthew and Jostes, Milan and Kaddis, Ryan and Chung, Chan-Jin and Siegel, Joshua

Triggering Behavioral Change via Gamification for Promoting Energy Efficiency

In International Conference on Renewable Energy Sources and Energy Efficiency, 2023
Pappas, Georgios and Seshadri, Satyanarayanan and Krishnan, Sriram and Siegel, Joshua and Zorpas, Antonis

SafeDriveRL: Combining Non-cooperative Game Theory with Reinforcement Learning to Explore and Mitigate Human-based Uncertainty for Autonomous Vehicles

In Software Engineering for Adaptive and Self-Managing Systems, 2024
Chan, Kenneth and Zilberman, Shlomi and Polanco, Nicholas and Cheng, Betty H.C. and Siegel, Joshua

Josh Siegel

Assistant Professor @ Michigan State University

Publication Type: Conference articles

Impact of the COVID-19 Pandemic on Robofest: A Longitudinal Analysis of STEM Education Outcomes

A Gamified Virtual Library Towards Enhancing Student Engagement In Distance Learning

Comparing Traditional Computer Vision Algorithms and Deep Convolutional Neural Networks as Self Driving Algorithms for Use in Dynamic Conditions

Vehicle-to-Everything Communication Using a Roadside Unit for Over-the-Horizon Object Awareness

Triggering Behavioral Change via Gamification for Promoting Energy Efficiency

SafeDriveRL: Combining Non-cooperative Game Theory with Reinforcement Learning to Explore and Mitigate Human-based Uncertainty for Autonomous Vehicles

Undergraduate Research Experiences for Automated and Connected Vehicle Algorithm Development using Real Vehicles

Scenario-based Emerging Technologies Workshop for Military Leaders

Hands-On Learning in Autonomous Vehicle Development: Outcomes of an NSF REU Program Using Real Vehicles

Cyber Escape Room: An Educational 3d Escape Room Game Within a Cyber Range Training Realm