Dr. Jiwon Kim (김지원) |
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| Email: | jiwon.kim@uq.edu.au |
| UQ profile: | http://researchers.uq.edu.au/researcher/10269 |
| Address: | Hawken Engineering Building (Building 50) School of Civil Engineering Faculty of Engineering, Architecture and Information Technology The University of Queensland Brisbane, Australia |
Overview
Jiwon Kim is Senior Lecturer in Transport Engineering in the School of Civil Engineering at the University of Queensland (UQ). She joined UQ in 2014 after completing her PhD research at Northwestern University. Her doctoral work was on the travel time reliability of transportation networks. Prior to joining Northwestern, she worked at Samsung C&T (Engineering & Construction Group). She received Bachelor’s and Master’s degrees in civil engineering from Korea University.
Dr. Kim’s research is broadly in the area of modeling and analysis of intelligent transport systems (ITS) and urban mobility, with an emphasis on the analysis of vehicle trajectories in large-scale traffic networks and predictive analytics for real-time traffic management and operations. Her current research focuses on urban mobility analytics, interdisciplinary research that discovers patterns and insights from massive collections of movement data (e.g., GPS trajectories, public transport smart card data, Bluetooth and WiFi data) using data mining and machine learning algorithms and develops solutions to transport-related challenges in our cities.
Research Interests
- Urban mobility, Trajectory data analytics
- Large-scale urban trajectory data analysis and visualization
- Machine learning (deep neural networks, reinforcement learning) for driving behavior learning and trajectory prediction
- Population movement analysis, network traffic flow analysis, OD demand estimation
- Synthetic trajectory data generation
- Big Data and Artificial Intelligence (AI) applications for traffic management
- Real-time prediction of traffic, incidents, and network impacts
- Automation and decision support for real-time traffic management
- Computer vision (vehicle/pedestrian trajectory analysis, traffic scene recognition)
- Multi-modal transport network modeling, Traffic flow theory
- Traffic simulation
- Scenario generation and management
Professional Activities
- Member, TRB Committee on Transportation Network Modeling
- Member, TRB Committee on Traffic Flow Theory and Characteristics
- Editorial Board Member, Transportation Research Part C: Emerging Technologies
- Associate Editor, IEEE Open Journal of Intelligent Transportation Systems
- Editorial Board Member, International Journal of Transportation Science and Technology
- Associate Editor, International Journal of Intelligent Transportation Systems Research
Honors and Awards
- Promoting Women Fellowship, The University of Queensland, Australia, 2017
- WiT ICT Rising Star Award, Queensland Women in Technology (WiT), Australia, 2017
- Kikuchi-Karlaftis Best Paper Award (Honorable Mention), TRB Committee on Artificial Intelligence and Advanced Computing Applications (ABJ70), 2016
- David Willis Best Poster Award (Runner-up), Australasian Transport Research Forum (ATRF), 2015
- Ryuichi Kitamura Best Paper Award, TRB Section on Travel Analysis Methods (ADB00), 2014
- Stella Dafermos Best Paper Award, TRB Transportation Network Modeling Committee (ADB30), 2014
- Best Poster Award, 2nd International Transportation PhD Student Symposium, 2013
- Best Presentation Award, TRB Doctoral Student Research in Transportation Modeling Workshop, 2013
- Dissertation Year Fellowship Award, Northwestern University Transportation Center, 2012
- Greenshields Best Paper Prize, TRB Committee on Traffic Flow Theory and Characteristics (AHB45), 2011