Tae-Eog Lee

Tae-Eog Lee

KAIST

H-index: 32

Asia-South Korea

About Tae-Eog Lee

Tae-Eog Lee, With an exceptional h-index of 32 and a recent h-index of 20 (since 2020), a distinguished researcher at KAIST, specializes in the field of scheduling, semiconductor manufacturing, discrete event system, system modeling.

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

Practical Reinforcement Learning for Adaptive Photolithography Scheduler in Mass Production

Semiconductor manufacturing automation

Cleaning plan optimization for dual-armed cluster tools with general chamber cleaning periods

A multiresolution simulation system and simulation development processes

Toward Robust Battle Experimental Design for Command and Control of Mechanized Infantry Brigade

On scheduling a photolithograhy toolset based on a deep reinforcement learning approach with action filter

A branch-and-price approach based on assignment problem modeling for single arm cluster tool scheduling

Feedback control of cluster tools: Stability against random time disruptions

Tae-Eog Lee Information

University

Position

Department of Industrial & Systems Engineering

Citations(all)

3854

Citations(since 2020)

1123

Cited By

3220

hIndex(all)

32

hIndex(since 2020)

20

i10Index(all)

72

i10Index(since 2020)

39

Email

University Profile Page

Google Scholar

Tae-Eog Lee Skills & Research Interests

scheduling

semiconductor manufacturing

discrete event system

system modeling

Top articles of Tae-Eog Lee

Title

Journal

Author(s)

Publication Date

Practical Reinforcement Learning for Adaptive Photolithography Scheduler in Mass Production

IEEE Transactions on Semiconductor Manufacturing

Eungjin Kim

Taehyung Kim

Dongcheol Lee

Hyeongook Kim

Sehwan Kim

...

2023/11/28

Semiconductor manufacturing automation

Tae-Eog Lee

Hyun-Jung Kim

Tae-Sun Yu

2023/6/17

Cleaning plan optimization for dual-armed cluster tools with general chamber cleaning periods

IEEE Transactions on Automation Science and Engineering

Tae-Gyung Lee

Tae-Sun Yu

Tae-Eog Lee

2022/7/13

A multiresolution simulation system and simulation development processes

The Journal of Defense Modeling and Simulation

Young-Jun Jee

Tae-Gyung Lee

Sang-Ho Park

Jun-Ho Cho

Hee-Soo Kim

...

2022/7

Toward Robust Battle Experimental Design for Command and Control of Mechanized Infantry Brigade

Military Operations Research

Woo-Seop Yun

Sunggil Ko

Muhyun Byun

Heeyoung Kim

Il-Chul Moon

...

2022/1/1

On scheduling a photolithograhy toolset based on a deep reinforcement learning approach with action filter

Taehyung Kim

Hyeongook Kim

Tae-eog Lee

James Robert Morrison

Eungjin Kim

2021/12/12

A branch-and-price approach based on assignment problem modeling for single arm cluster tool scheduling

대한산업공학회 춘계공동학술대회 논문집

Hyeong-Yun Lee

Tae-Eog Lee

Hyun-Jung Kim

2021/6

Feedback control of cluster tools: Stability against random time disruptions

IEEE Transactions on Automation Science and Engineering

Chulhan Kim

Tae-Sun Yu

Tae-Eog Lee

2021/4/12

Wafer delay analysis and workload balancing of parallel chambers for dual-armed cluster tools with multiple wafer types

IEEE Transactions on Automation Science and Engineering

Sung-Gil Ko

Tae-Sun Yu

Tae-Eog Lee

2021/3/9

Industry 3.5: IE developments and prospects in the Asia-pacific region Foreward

Computers & Industrial Engineering

Chen-Fu Chien

Abdul Hakim Halim

Zhen He

Thanh Phong Ho

Kazuyoshi Ishii

...

2021

Reachability tree-based optimization algorithm for cyclic scheduling of timed Petri nets

IEEE Transactions on Automation Science and Engineering

Chulhan Kim

Tae-Sun Yu

Tae-Eog Lee

2020/8/3

Integrated scheduling of a dual-armed cluster tool for maximizing steady schedule patterns

IEEE Transactions on Systems, Man, and Cybernetics: Systems

Woojin Kim

Tae-Sun Yu

Tae-Eog Lee

2020/3/20

Wafer delay analysis and control of dual-armed cluster tools with chamber cleaning operations

International Journal of Production Research

Tae-Sun Yu

Tae-Eog Lee

2020/1/17

Modeling, Simulation and Supervisory Control of Semiconductor Manufacturing Cluster Tools with an Equipment Front-End Module

Cheolhui Hong

Tae-Eog Lee

2020/8/20

See List of Professors in Tae-Eog Lee University(KAIST)

Co-Authors

academic-engine