Taesik Lee

KAIST

H-index: 23

Asia-South Korea

Taesik Lee, With an exceptional h-index of 23 and a recent h-index of 14 (since 2020), a distinguished researcher at KAIST,

His recent articles reflect a diverse array of research interests and contributions to the field:

Reward function design method to achieve system-level objectives in ambulance diversion problem

Analytics and Optimization in Healthcare Management

Choice-driven location-allocation model for healthcare facility location problem

Skyport location problem for urban air mobility system

Demand modelling for emergency medical service system with multiple casualties cases: k-inflated mixture regression model

Multi-agent reinforcement learning algorithm to solve a partially-observable multi-agent problem in disaster response

Emergency medical service resource allocation in a mass casualty incident by integrating patient prioritization and hospital selection problems

University	KAIST
Position	Professor of Industrial & Systems Engineering
Citations(all)	2179
Citations(since 2020)	1112
Cited By	1452
hIndex(all)	23
hIndex(since 2020)	14
i10Index(all)	39
i10Index(since 2020)	23
Email	Access Email
University Profile Page	KAIST
Google Scholar	View Google Scholar Profile

Title	Journal	Author(s)	Publication Date
Reward function design method to achieve system-level objectives in ambulance diversion problem	European Journal of Operational Research	Hyun-Rok Lee Taesik Lee	2024/4/29
Analytics and Optimization in Healthcare Management	Flexible Services and Manufacturing Journal	Vincent Augusto Nadia Lahrichi Ettore Lanzarone Taesik Lee Jie Song	2022/12
Choice-driven location-allocation model for healthcare facility location problem	Flexible Services and Manufacturing Journal	Kyosang Hwang Tooba Binte Asif Taesik Lee	2022/12
Skyport location problem for urban air mobility system	Computers & Operations Research	Hyelim Shin Taesik Lee Hyun-Rok Lee	2022/2/1
Demand modelling for emergency medical service system with multiple casualties cases: k-inflated mixture regression model	Flexible Services and Manufacturing Journal	Hyunjin Lee Taesik Lee	2021/12/1
Multi-agent reinforcement learning algorithm to solve a partially-observable multi-agent problem in disaster response	European Journal of Operational Research	Hyun-Rok Lee Taesik Lee	2021/5/16
Emergency medical service resource allocation in a mass casualty incident by integrating patient prioritization and hospital selection problems	IISE Transactions	Kyohong Shin Taesik Lee	2020/10/2