Youngseo Kim
Youngseo Kim is a fourth-year Ph.D. candidate at Cornell University, specializing in Transportation Engineering under the guidance of Samitha Samaranayake. Youngseo Kim's research is rooted in discrete optimization, discrete choice modeling, and reinforcement learning, with a keen interest in Mobility-on-Demand services and Mobility-as-a-Service systems. Recent endeavors include developing heuristics for large-scale vehicle routing with time constraints and crafting passenger-vehicle matching algorithms that take into account travelers' behaviors and future value. Additionally, Youngseo Kim is delving into the analytical integration of discrete choice modeling in optimization across diverse applications. Before joining Cornell, Youngseo Kim pursued an M.S. at Seoul National University (SNU), mentored by Dong-Kyu Kim, and specialized in discrete choice analysis and machine learning. Youngseo Kim holds a B.S. in Civil and Environmental Engineering from SNU, conferred in 2018.
Lastest News
March-June 2024 – l am at MIT as a visiting student hosted by Cathy Wu. I am working on Learning guided vehicle dispatching algorithm.
10/19/2023 – I participated Rising Stars Workshop at MIT!
Publications
(* indicates equal contribution)
2024
A Combined Convex Model for Travel Demand Forecasting with Hierarchical Extended Logit Model
Youngseo Kim, Damon Wischik, Soroosh Shafiee, Gioele Zardini, Samitha Samaranayake, to be submitted to Transportation Research Part B [early version is in arXiv].Learning augmented vehicle dispatching with slack times for high-capacity ride-pooling
Youngseo Kim, Vindula Jayawardana, Samitha Samaranayake, submitted to Transportation Research Part C [SSRN].Strategic Pricing and Routing to Maximize Profit in Congested Roads Considering Interactions with Travelers
Youngseo Kim*, Ning Duan*, Gioele Zardini, Samitha Samaranayake, and Damon Wischik, under review in Transactions on Control of Network Systems, 2024.
2023
Rolling Horizon based Temporal Decomposition for the Offline Pickup and Delivery Problem with Time Windows
Youngseo Kim, Danushka Edirimanna, Michael Wilbur, Philip Pugliese, Aron Laszka, Abhishek Dubey, Samitha Samaranayake, The 37th AAAI Conference on Artificial Intelligence, 2023. (acceptance rate: 19.6%)
2022
An Online Approach to Solve the Dynamic Vehicle Routing Problem with Stochastic Trip Requests for Paratransit Services
Michael Wilbur, Salah Uddin Kadir, Youngseo Kim, Geoffrey Pettet, Ayan Mukhopadhyay, Philip Pugliese, Samitha Samaranayake, Aron Laszka, Abhishek Dubey, A Laszka, A Dubey, ACM/IEEE 13th International Conference on Cyber-Physical Systems (ICCPS), 2022.
2021
Tourists’ Preference on the Combination of Travel Modes under Mobility-as-a-Service Environment
Eui-Jin Kim, Youngseo Kim, Sunghoon Jang, Dong-Kyu Kim, Transportation Research Part A: Policy and Practice, 2021.A Comparative Analysis of the Users of Private Cars and Public Transportation for Intermodal Options under Mobility-as-a-Service in Seoul
Youngseo Kim, Eui-Jin Kim, Sunghoon Jang, Dong-Kyu Kim, Travel Behaviour and Society, 2021.Interpretable Machine-learning Models for Estimating Trip Purpose in Smart Card Data
Eui-Jin Kim, Youngseo Kim, Dong-Kyu Kim, Proceedings of the Institution of Civil Engineers-Municipal Engineer, 2021.
Invited Talks
Learning Augmented Vehicle Dispatching with Slack Times for High-capacity Ride-pooling
Talk at MIT in Active-Adaptive Control Laboratory (hosted by Anuradha Annaswamy), April 16, 2024.Optimization in Transportation: Integrating Discrete Choice Modeling with Optimitzation
Talk at University of Seoul in Civil Engineering Department (hosted by Shin Hyoung Park), January 4, 2024.Optimization in Transportation: Routing, Matching, and Pricing for Sustainable Mobility-on-Demand in Large Scale Network
Talk at Kaist in Cho Chun Shik Graduate School of Mobility (hosted by Jinwoo Lee), January 6, 2023.Optimization in Transportation: Routing, Matching, and Pricing for Sustainable Mobility-on-Demand in Large Scale Network
Talk at Kaist in Department of Operations Research (hosted by Woo Chang Kim), January 4, 2023.Optimization in Transportation: Routing, Matching, and Pricing for Sustainable Mobility-on-Demand in Large Scale Network
Talk at Seoul National University (hosted by Dong-kyu Kim), December 29, 2022.
Awards
Microsoft Azure Credit Grants ($21,900)
TSL Cross-regional Doctoral Grant ($1,500)
Travel fund to encourage collaboration across the region in the Transportation Science and Logistics community.CEE Rising Stars Workshop in the Massachusetts Institute of Technology (MIT)
Two-day event designed to guide and inspire Ph.D. candidates who are aiming for a career in academia, Cambridge, Massachusetts, October 19-20, 2023.2023 Hyundai Vision Conference
Three-day immersive experience focusing on future mobility technologies, Seoul, Korea, August 7-9, 2023.
Conferences
Strategic Pricing and Routing to Maximize Profit in Congested Roads Considering Interactions with Travelers
Talk at INFORMS Optimization Society (IOS), Houston, March 22 – 24, 2024.Request-vehicle Matching With Consumer Choice Modeling In High-capacity Ride-pooling
Talk at INFORMS Annual meeting, Phoenix, Arizona, October 15 – 18, 2023.Rolling Horizon Framework for the Offline Pickup and Delivery Problem with Time Windows
Talk at INFORMS Transportation and Logistics Society Second Triennial Conference (TSL), Chicago, Illinois, July 23 – 26, 2023.Algorithms for Optimizing Public Transit Systems
Led a tutorial session with Ayan Mukhopadhyay and Devansh Jalota at the IEEE International Conference on Smart Computing (SMARTCOMP), Nashville, Tennessee, June 26-29, 2023.Rolling Horizon based Temporal Decomposition for the Offline Pickup and Delivery Problem with Time Windows
Talk and Poster at the 37th AAAI Conference on Artificial Intelligence, Washington, D.C., Feburary 9-12, 2023.A Comparative Analysis of the Users of Private Cars and Public Transportation for Intermodal Options under Mobility-as-a-Service in Seoul
Poster at the 99th Transportation Research Board Annual Meeting, Washington, D.C., January 12-16.