Biography
I am a Ph.D. student in the Lyles School of Civil Engineering and UMNILAB (advisor: Dr. Satish V. Ukkusuri) at Purdue University since August 2020. I published one published paper and two papers in the review. Prior to joining Purdue, I was a researcher at Seoul National University from 2018-2020, where my research focused on developing multi-capacity vehicle routing problem of demand responsive transport for the disabled (presented in 99th TRB Annual Meeting), and modeling lane change behaviors on freeways and gap acceptance behaviors at roundabouts in real driving situations and virtual reality (published in Journal of Advanced Transportation 2018 and 2020). Previously, I completed BSc (2016) and MSc (2018) in Civil and Environmental Engineering at Seoul National University. Now, My research focuses on as follows:
- Network Traffic Model: Modeling traffic dynamics in large-scale urban areas from physics-informed machine learning and mathematical traffic flow model; Quantifying uncertainties of road traffic dynamics from generative models; Identifying relationships between network structures and traffic dynamics
Applications: Perimeter control, Traffic signal control, Traffic estimation, Transportation Network Design
- Emerging Technologies for Intelligent Transportation Systems: Estimating traffic states (e.g., traffic density, speed, and traffic flow) under connected and autonomous vehicles (CAVs) environment; Developing routing algorithms and platooning strategies for CAVs to minimize the impacts of uncertainties in vehicle dynamics (e.g., dynamic road environments and traffic congestion); Modeling traffic dynamics of on-demand urban air mobility from network traffic fundamental diagram
Applications: Autonomous Vehicle routing, Autonomous truck scheduling, Air traffic management, IoT Cybersecurity
Education
Courses:
Neural Network Numerical PDEs (MA595), Reinforcement Learning and Control Systems (IE690), Dynamic Transportation Models (CE597), Vehicular Cyber-Physical Systems (CE597), Probabilistic Machine Learning (CS592), Large-Scale Networks (ECE695), Optimization, "Optimization, Game Theory, and Uncertainty" (IE695), Statistical Machine Learning II (CS 690), Network Models for Connected Autonomous Vehicles (CE 597), Dynamic Programming (IE 633), Stochastic Networks (IE 590), Smart Logistics (CE 597), Optimization Methods for Systems And Control (ECE 580), Introduction To Deep Learning (ECE 595)
Thesis Title: A Simulation Study of Demand Responsive Transport for the Disabled to Minimize User Waiting Time
Courses:
Advanced Transportation Operations (Traffic Flow Theory), Advanced Transportation Operations (Transportation Systems Analysis), Advanced Sustainable Transportation (Traffic Management), Data Mining, Operations Research II, Transportation Optimization Techniques, Transportation Network Theory, Transportation IT Convergence System
Courses:
Calculus I & II, Design of Transportation Systems, Digital Computer Concept and Practice, Engineering Mathematics I & II, Introduction to Economics, Introduction to Traffic Operation, Mass Transit Engineering, Microeconomics, Operations Research I, Principles of Economics I & II, Spatial Informatics and Systems, Statistics, Statistics for Civil & Environmental Engineers, Traffic Engineering and Lab., Transportation Planning and Lab., Urban Planning
Research Experience
- Develop a pioneering framework to bolster road network resilience against cyber-attacks in extensive road networks and mitigate cyber attack’s impact by using defense strategies. (Sponsor: USDOT)
- Introduce a groundbreaking framework for modeling traffic dynamics using physics-informed deep learning, enabling predictions of traffic impacts due to connected and autonomous vehicles in cyberphysical systems within large-scale urban areas.
- Predict origin-destination matrices based on mobile location data (Sponsor: INDOT)
- Analyze the traffic impact of movable barrier (Alex Fraser Bridge) in Vancouver by leveraging the mobile location data (Sponsor: Lindsay Corporation)
- Led a study on designing a cluster-based route of multi-capacity vehicles of demand-responsive transport services for the disabled and analyzing the quantitative effects of shared parking services & last-mile mobility services
- Developed optimal operation strategies of Mobility-as-a-Service (MaaS) for the mobility impaired (such as disabled or elderly people)
- Modelled lane change behaviors on freeways and gap acceptance behaviors at roundabouts in real driving situations and virtual reality
- Collaborated and coordinated with faculty members, businessmen, researchers, and fellow graduate students at University of Seoul, Radius Corporation, Korea Land & Housing Institute
- Designed a real-time relocation strategy for one-way car-sharing and developed an event-based simulation for one-way car-sharing services
- Led a study on improving demand-responsive transport services for the disabled with shared mobility in Seoul and developed an evaluation method to evaluate drivers’ behaviors with surrogate safety measures
- Collaborated and coordinated with faculty members, businessmen, and researchers at the Korea Transport Institute, Korea Transportation Safety Authority, and InnoSim
Teaching & Mentoring Experience
- Assist in preparing and teaching course material, answer questions, and mark assignments
Course:
- CE 597 - Network Models for Connected Autonomous Vehicles (Fall 2023, Spring 2023, Spring 2022, Fall 2021)
- CE 597 - Smart Logistics (Fall 2021, Graduate)
- CE 597 - Data Science for Smart Cities - CE597 (Fall 2023, Spring 2021, Graduate) [edX]
- Taught transportation engineering and trends of mobility services to 50 undergraduate students
- Covered areas of transportation engineering, status and issues of transportation in South Korea, future sustainable transportation systems, and transportation laws in South Korea
- Assisted in preparing and teaching course material for core subjects of transportation in undergraduate and graduate programs, had office hours every week, answered questions in person, and marked assignments & exams
- Supervised undergraduate student’s projects in terms of analyzing smart-card data, implementing clustering algorithms, and visualizing GPS data
Course:
- Sustainable Transportation Systems (Fall 2017, Undergraduate)
- Advanced Transportation Operation (Spring 2017, Graduate)
- Leadership for Civil Engineers (Spring 2017, Undergraduate)
- Introduction to Transportation Engineering (Fall 2016, Undergraduate)
Publications (Journal)
Publications (Conference Proceeding)
Awards & Honors
Title: Selection of Appropriate Hyperparameter for Waiting Time Prediction Model for Demand Responsive Transport for the Disabled in Seoul using Long Short-Term Memory (LSTM) Network
Title: Analysis of Traffic Flow Impacts of Highway Traffic Accidents Using Survival Analysis
Title: Estimation of Rainfall in Seoul using FARD2006