Faculty

Institution

Unit

Venue

Jun Chen

Associate Professor

San Diego State University

Affiliations

College of Engineering

Aerospace Engineering

Jun Chen is currently serving as an Aerospace Engineering Associate Professor at San Diego State University.

Honors

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Experiences

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Education

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Jun Chen

San Diego State University

Associate Professor

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systems engineering aerospace engineering unmanned aerial vehicles path planning transportation engineering machine learning aeronautics trajectory planning computer science engineering vehicular technology automatic control aerial robotics drones risk management control optimization control systems robotics engineering optimization trajectory optimization flight control route planning guidance system transportation planning intelligent systems unmanned aircraft systems transportation system management transport safety reachability analysis safe path planning computational optimization networked system design system safety mobile computing scientific computing industrial informatics machine learning research computational intelligence wireless communications information technology reliability engineering astronautics safety management safety engineering spatial uncertainty control science control engineering control design distributed robotics scheduling analysis scheduling (computing) scheduling problems transport infrastructure unmanned systems traffic management automation engineering generative adversarial networks computability theory probabilistic analysis reachability problem probabilistic computations chained predictions flight delay iterative chance-constrained optimization probabilistic geo-fence uav trajectory planning congested air traffic optimized landing limited vertiports fairness-aware path planning online guidance uncertain environments airborne separation location uncertainty dynamic planning hybrid multiscale search distributed control artificial intelligence

Notable Scholarly Works

Notable Federal Grants

Collaborators

Data-Driven Polytopic Approximation for an $N$-Dimensional Probabilistic Reachable Set. IEEE transactions on industrial informatics (2024)

Pengcheng WuJun Chen

reachability problemcomputer scienceinformaticswireless communicationsdata sciencedata-driven polytopic approximationinformation technologyprobabilistic analysiscomputability theorysystems engineeringreachability analysisnetwork analysiscomputational intelligenceprobabilistic computationsmachine learning researchdata miningmachine learningindustrial informaticsubiquitous computing

Data-Driven Zonotopic Approximation for N-Dimensional Probabilistic Geofencing. Reliability engineering & systems safety (2024)

Pengcheng WuJun Chen

systems engineeringapplied mathematicsdata-driven zonotopic approximationstate estimationdata sciencereliability engineeringspatial analysisn-dimensional probabilistic geofencingreliability

Fine-Tuned Convex Approximations of Probabilistic Reachable Sets Under Data-Driven Uncertainties. IEEE Transactions on Automation Science and Engineering (2024)

Pengcheng WuSonia MartinezJun Chen

automation engineeringsystems engineeringapplied mathematicsfine-tuned convex approximationsautomationdata-driven uncertaintiesmachine learningreachability analysisrisk managementprobabilistic reachable setselectrical engineering

Learning-Accelerated a* Search for Risk-Aware Path Planning. (2024)

Jun XiangJunfei XieJun Chen

computer sciencemachine learningrisk managementpath planningrisk-aware path planningdeep learning

Efficient Box Approximation for Data-Driven Probabilistic Geofencing. Unmanned systems/Unmanned systems. (2023)

Pengcheng WuJun Chen

systems engineeringcomputer sciencemachine learningdata-driven probabilistic geofencingdata scienceunmanned systemsformal methodsefficient box approximation

Evaluating the Impact of Onboard and Offboard Computing on Uas Traffic Management. AIAA Aviation 2019 Forum (2023)

Drake EssickLuiz Gonzalez BautistaJunfei XieYan WanJun Chen

unmanned aerial vehiclesuas traffic managementsystems engineeringtraffic management

Hybrid Multiscale Search for Dynamic Planning of Multi-Agent Drone Traffic. Journal of Guidance Control and Dynamics (2023)

Jun XiangJun ChenYanchao Liu

transportation engineeringsystems engineeringengineeringcontrol optimizationunmanned aerial vehiclesautomatic controlroboticscontrol systemscontrol designhybrid multiscale searchmulti-agent drone trafficaerospace engineeringguidance systemdronesaerial roboticsdynamic planningcontrol engineeringcontrol science

Landing Trajectory Prediction for Uas Based on Generative Adversarial Network. AIAA SCITECH 2023 Forum (2023)

Jun XiangJunfei XieJun Chen

transportation engineeringunmanned aerial vehiclesvehicular technologyaeronauticsmachine learningaerospace engineeringaerial roboticsgenerative adversarial networks

Online Probabilistic Collision Detection for Urban Air Mobility Under Data-Driven Uncertainty. AIAA SCITECH 2023 Forum (2023)

Pengcheng WuJun Chen

systems engineeringcollision detectionapplied probabilityvehicular technologycomputer sciencedata-driven uncertaintyaerospace engineeringurban air mobility

Safe Path Planning of Uav Based on Reinforcement Learning in Probabilistic Environments. AIAA SCITECH 2023 Forum (2023)

James GaultJun XiangJun Chen

systems engineeringunmanned aerial vehiclesprobabilistic environmentsreinforcement learningaerospace engineeringsafe path planningaerial roboticspath planning

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Jun Chen

Associate Professor

San Diego State University

Affiliations

College of Engineering

Aerospace Engineering

Jun Chen is currently serving as an Aerospace Engineering Associate Professor at San Diego State University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Jun Chen

San Diego State University

Associate Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Data-Driven Polytopic Approximation for an $N$-Dimensional Probabilistic Reachable Set. IEEE transactions on industrial informatics (2024)

Pengcheng WuJun Chen

Data-Driven Zonotopic Approximation for N-Dimensional Probabilistic Geofencing. Reliability engineering & systems safety (2024)

Pengcheng WuJun Chen

systems engineeringapplied mathematicsdata-driven zonotopic approximationstate estimationdata sciencereliability engineeringspatial analysisn-dimensional probabilistic geofencingreliability

Fine-Tuned Convex Approximations of Probabilistic Reachable Sets Under Data-Driven Uncertainties. IEEE Transactions on Automation Science and Engineering (2024)

Pengcheng WuSonia MartinezJun Chen

Learning-Accelerated a* Search for Risk-Aware Path Planning. (2024)

Jun XiangJunfei XieJun Chen

computer sciencemachine learningrisk managementpath planningrisk-aware path planningdeep learning

Efficient Box Approximation for Data-Driven Probabilistic Geofencing. Unmanned systems/Unmanned systems. (2023)

Pengcheng WuJun Chen

systems engineeringcomputer sciencemachine learningdata-driven probabilistic geofencingdata scienceunmanned systemsformal methodsefficient box approximation

Evaluating the Impact of Onboard and Offboard Computing on Uas Traffic Management. AIAA Aviation 2019 Forum (2023)

Drake EssickLuiz Gonzalez BautistaJunfei XieYan WanJun Chen

unmanned aerial vehiclesuas traffic managementsystems engineeringtraffic management

Hybrid Multiscale Search for Dynamic Planning of Multi-Agent Drone Traffic. Journal of Guidance Control and Dynamics (2023)

Jun XiangJun ChenYanchao Liu

Landing Trajectory Prediction for Uas Based on Generative Adversarial Network. AIAA SCITECH 2023 Forum (2023)

Jun XiangJunfei XieJun Chen

transportation engineeringunmanned aerial vehiclesvehicular technologyaeronauticsmachine learningaerospace engineeringaerial roboticsgenerative adversarial networks

Online Probabilistic Collision Detection for Urban Air Mobility Under Data-Driven Uncertainty. AIAA SCITECH 2023 Forum (2023)

Pengcheng WuJun Chen

systems engineeringcollision detectionapplied probabilityvehicular technologycomputer sciencedata-driven uncertaintyaerospace engineeringurban air mobility

Safe Path Planning of Uav Based on Reinforcement Learning in Probabilistic Environments. AIAA SCITECH 2023 Forum (2023)

James GaultJun XiangJun Chen

systems engineeringunmanned aerial vehiclesprobabilistic environmentsreinforcement learningaerospace engineeringsafe path planningaerial roboticspath planning

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