John Park
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
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