Skip to main content

Eeeseok Lee

Sungkyunkwan University · 情報科学

研究室紹介

Professor Eeeseok Lee's research lab focuses on computational materials science and high-performance computing, with a strong emphasis on understanding ion insertion mechanisms in lithium-ion battery materials through advanced simulation techniques such as grand canonical Monte Carlo and ab initio cluster expansion. The lab also specializes in GPU-accelerated terrain rendering and adaptive visualization algorithms, addressing challenges in real-time processing of massive 3D geospatial data using hierarchical data structures like quadtrees. Additionally, the lab explores intelligent information retrieval systems, particularly adaptive agents for personalized and collaborative search. These diverse research directions reflect a multidisciplinary approach combining materials modeling, computer graphics, and artificial intelligence.

lithium-ion batteriesterrain renderingGPU computingadaptive agentsmaterials simulation

Research Overview

Papers
364
Total Citations
2,469
Papers (5y)
60
Primary Field
情報科学

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
60total
2021
2022
2023
2024
2025
Citations per year (5y)
288total
20212022202320242025

Selected Papers

15
1
Article|110 citations·2016
Improved bug localization based on code change histories and bug reports
Klaus Changsun Youm, June Ahn, Eunseok Lee
SJR Q1Information and Software Technology
Information SystemsComputer Science
2
Article|63 citations·2013
Solid-Solution Li Intercalation as a Function of Cation Order/Disorder in the High-Voltage LixNi0.5Mn1.5O4 Spinel
Eunseok Lee, Kristin A. Persson
SJR Q1Chemistry of Materials

Many Li-ion cathode materials transform via two-phase reactions, which can lead to long-term structural damage and limited cyclability. To elucidate the coupling between favorable solid-solution Li intercalation and the underlying cation ordering, we take the high-voltage spinel, Li x Ni 0.5 Mn 1.5 O 4 (0 ≤ x ≤ 1), as a case example. Through grand canonical Monte Carlo (MC) simulations based on the ab initio cluster expansion model, we show a striking dependence between the solid-solution phase

Electrical and Electronic EngineeringEngineering
3
Article|23 citations·2018
VFL: Variable-based fault localization
Jeongho Kim, Jeongho Kim, Jindae Kim, Jindae Kim, Eunseok Lee
SJR Q1Information and Software Technology
SoftwareComputer Science
4
Article|17 citations·2021
Are datasets for information retrieval-based bug localization techniques trustworthy?
Misoo Kim, Eunseok Lee
SJR Q1Empirical Software Engineering
Information SystemsComputer Science
5
Article|14 citations·2020
ManQ: Many-objective optimization-based automatic query reduction for IR-based bug localization
Misoo Kim, Eunseok Lee
SJR Q1Information and Software Technology
Information SystemsComputer Science
6
Article|11 citations·2014
Bimodal Vertex Splitting: Acceleration of Quadtree Triangulation for Terrain Rendering
Eunseok Lee, Jinhee Lee, Byeong‐Seok Shin
SJR Q3IEICE Transactions on Information and SystemsOA

Massive digital elevation models require a large number of geometric primitives that exceed the throughput of the existing graphics hardware. For the interactive visualization of these datasets, several adaptive reconstruction methods that reduce the number of primitives have been introduced over the decades. Quadtree triangulation, based on subdivision of the terrain into rectangular patches at different resolutions, is the most frequently used terrain reconstruction method. This usually accomp

Computer Graphics and Computer-Aided DesignComputer Science
7
Article|11 citations·2008
Accuracy assessment of the in-bed calorimetry employed in ITER SDS
Eunseok Lee, Seungyon Cho, Mu-Young Ahn, Duck Hoi Kim, Minho Chang, Hongsuk Chung, Myunghwa Shim, Kyu‐Min Song, Soon Hwan Sohn, Duk‐jin Kim, Hiroshi Yoshida
SJR Q1Fusion Engineering and Design
Aerospace EngineeringEngineering
8
Article|10 citations·2011
Geometry Splitting: An Acceleration Technique of Quadtree-Based Terrain Rendering Using GPU
Eunseok Lee, Byeong‐Seok Shin
SJR Q3IEICE Transactions on Information and SystemsOA

In terrain visualization, the quadtree is the most frequently used data structure for progressive mesh generation. The quadtree provides an efficient level of detail selection and view frustum culling. However, most applications using quadtrees are performed on the CPU, because the pointer and recursive operation in hierarchical data structure cannot be manipulated in a programmable rendering pipeline. We present a quadtree-based terrain rendering method for GPU (Graphics Processing Unit) execut

Computer Graphics and Computer-Aided DesignComputer Science
9
Article|8 citations·2015
A bimodal empty space skipping of ray casting for terrain data
Eunseok Lee, Jinhee Lee, Byeong‐Seok Shin
SJR Q2The Journal of Supercomputing
Computer Graphics and Computer-Aided DesignComputer Science
10
Article|8 citations·2007
Electronic structure calculations in a uniform magnetic field using periodic supercells
Eunseok Lee, Wei Cai, Giulia Galli
SJR Q1Journal of Computational Physics
Atomic and Molecular Physics, and OpticsPhysics and Astronomy
11
Article|6 citations·2015
Vertex relocation: a feature-preserved terrain rendering method for pervasive computing environments
Eunseok Lee, Jinhee Lee, Byeong‐Seok Shin
SJR Q1Multimedia Tools and Applications
Computer Graphics and Computer-Aided DesignComputer Science
12
Article|6 citations·2003
Design and Synthesis of Phenyl Boronic Acids and Benzothiophenones as Anticholinesterases
Eunseok Lee
SJR Q2Bulletin of the Korean Chemical SocietyOA

Faculty of Life Science Engineering, Youngdong University, Chungbuk 370-701, KoreaReceived November 5, 2002Key Words : Cholinesterase, Inhibition, Boronic acid, BenzothiophenonesSince cholinesterases (ChE) such as acetylcholinesterase(AChE) and butyrylcholinesterase (BuChE) play criticalroles for the neurotransmission, the detailed chemicalmechanism of the ChE-catalyzed reactions are welldocumented.

PharmacologyMedicine
13
Book Chapter|6 citations·2004
A Next Generation Intelligent Mobile Commerce System
Eunseok Lee, Jionghua Jin
SJR Q2Lecture notes in computer science
Computer Networks and CommunicationsComputer Science
14
Article|5 citations·2019
Hardware-Based Adaptive Terrain Mesh Using Temporal Coherence for Real-Time Landscape Visualization
Eunseok Lee, Byeong‐Seok Shin
SJR Q1SustainabilityOA

In general, changes in society or the environment are expected depending on changes in terrain. The faster and more accurately these terrain changes can be observed, the faster and more accurately predictions can be made. Recently, three-dimensional (3D) terrain visualization programs, such as flight simulation, allow for interaction with various datasets to predict ecosystem influences in real time. Elaborate terrain data require a very large capacity. To render these large terrain data, the co

Computer Graphics and Computer-Aided DesignComputer Science
15
Article|5 citations·1997
Agent-based support for personalized information with Web search engines
Eunseok Lee, Roberto Okada, Inkyung Jeon
International Conference on Human-Computer Interaction

The popularization of computers and the Internet has produced an explosion in the amount of information and makes it difficult to find them. In order to complement the works of Wet agents for autonomously browsing or filtering on behalf of the user, we focus on adaptive agents for providing support at query formulation and information filtering. These adaptive or learning agents make it possible to add a layer of personalization and collaboration between the users and the existing search engines

Computer Networks and CommunicationsComputer Science

Research Areas

Information SystemsComputer Networks and CommunicationsArtificial IntelligenceSoftwareElectrical and Electronic EngineeringComputer Graphics and Computer-Aided Design

Eeeseok Leeの研究をNubintでさらに深く

この研究室の論文をアプリで開き、AIと共に読み、要約し、引用しましょう。