Associate Professor
Engineering Management & Systems Engineering

John Park

757-683-3759
Website

2101F ENGINEERING SYSTEMS BLDG
NORFOLK, 233529

Other in Civil & Environmental Engineering, University of Massachusetts Amherst , (2017)

Ph.D. in Civil & Environmental Engineering, University of Maryland College Park, (2016)

M.S. in Urban Planning & Engineering, Yonsei University, (2007)

B.S. in Physics, Yonsei University, (2005)

B.S. in Urban Planning & Engineering, Yonsei University, (2005)

Contracts, Grants and Sponsored Research

Park, H. and Pendley, V. "Modeling Transportation Choices Under the Presence of Realtime Information Using Simulated-based Virtual Experiments" $500,000. Federal. September 2022 - August 2025
Park, H. "CISE:IIS:RI, “IMPACT: Information-theoretic Multiagent Paths for Anticipatory Control of Tasks" $240,000. Federal. September 2019 - September 2024
Park, H. and McBride, M. "Advancing STEM Education Through Transportation Studies (ASETT)" $200,000. Federal. September 2021 - August 2024

Expertise

Data-based Decision-making
Physics-informed Model, Online Machine Learning
Big Data Analytics
Mixture Entropy Analysis, Temporal Multimodal Multivariate Learning
Remote Sensing
In-situ Sensing, Intelligent Infrastructure Systems

Research Interests

Physics-informed Model, Online Machine Learning, In-situ Sensing, Intelligent Infrastructure Systems, Mixture Entropy Analysis, Temporal Multimodal Multivariate Learning

Articles

Darko, J., Folsom, L., Park, H., Minamide, M., Ono, M. and Su, H. (2022). A Sampling-Based Path Planning Algorithm for Improving Observations in Tropical Cyclones. Earth and Space Science 9 (1) , pp. e2020EA001498.
Darko, J., Folsom, L., Pugh, N., Park, H., Shirzad, K., Owens, J. and Miller, A. (2022). Adaptive Personalized Routing for Vulnerable Road Users. IET Intelligent Transport Systems 16 (8) , pp. 1011–1025.
Folsom, L., Park, H. and Pandey, V. (2022). Dynamic Mixed Information Strategy for Heterogeneous Network Users and System Optimal Design. Frontiers in Future Transportation , pp. 3:851069.
Folsom, L., Ono, M., Otsu, K. and Park, H. (2021). Scalable Information-theoretic Path Planning for A Rover-helicopter Team in Uncertain Environments. International Journal of Advanced Robotic Systems 18 (2).

Conference Proceeding

Deshpande, N., Park, H., Pandey, V. and Darko, J. (2024). A Multimodal Physics-Informed Deep Learning for Traffic State Prediction. Washington: The 103rd Annual Meeting of Transportation Research Board (TRB 2024).
Yoon, G., Park, H. and Pandey, V. (2024). Contextual artificial intelligence for electric vehicle routing with mobile wireless charging Washington: The 103rd Annual Meeting of Transportation Research Board (TRB 2024).
Neupane, A., Pandey, V. and Park, H. (2024). Subscription Models for Differential Access to Real-time Information Washington: The 103rd Annual Meeting of Transportation Research Board (TRB 2024).
Park, H., Yoon, G. and Sundaram, I. (2024). Trip Planner MODE(Multimodal Optimal Dynamic pErsonalized) Bilbao: The 26th IEEE International Conference on Intelligent Transportation Systems.
Park, H., Ono, H. and Posselt, D. (2023). Advancing Autonomous In-situ Sensing under Highly Uncertain and Turbulent Flow Caltech, Pasadena: IEEE Space Mission Challenges for Information Technology - IEEE Space Computing Conference.
Pandey, V., McBride, M. and Park, H. (2023). Enhancing Student Engagement and Skillsets towards Transportation Careers Using Digital Badge Program: Baltimore: 2023 ASEE Annual Conference & Exposition.
Deshpande, N., Park, H. and Pandey, V. Mixed Information Routing Framework Using Competing Equilibrium Strategy Chicago: INFORMS Transportation and Logistics Society Second Triennial Conference.
Park, H. and Ono, H. (2023). Sequential Deep Learning Mars Autonomous Navigation Caltech, Pasadena: IEEE Space Mission Challenges for Information Technology - IEEE Space Computing Conference.
Neupane, A., Pandey, V. and Park, H. (2023). Subscription Models for Differential Access to Real-time Information Chicago: INFORMS Transportation and Logistics Society Second Triennial Conference.
Neupane, A., Deshpande, N., Park, H. and Pandey, V. (2022). Multimodal Learning Models for Traffic Datasets Washington: The SIG Knowledge Discovery and Data Mining (KDD 2022) Conference.
Park, H., Darko, J., Deshpande, N., Pandey, V., Su, H., Ono, M., Folsom, L., Posselt, D., Barkely, D. and Chien, S. (2022). Temporal Multimodal Multivariate Learning Washington: The SIG Knowledge Discovery and Data Mining (KDD 2022) Conference.
  • 2022: Faculty Fellowship, NASA Jet Propulsion Laboratory
  • 2022: Intellectual Property Award, North Carolina A&T State University
  • 2022: Outstanding Young Investigator Award, North Carolina A&T State University
  • 2021: Faculty Fellowship, NASA Jet Propulsion Laboratory
  • 2021: Intellectual Property Award, North Carolina A&T State University
  • 2019: Faculty Fellowship, NASA Jet Propulsion Laboratory
  • 2018: Faculty Fellowship, NASA Jet Propulsion Laboratory

Organizational Chart