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Sangjin Lee

Korea University · Computer Science

About the Lab

Professor Sangjin Lee's research lab specializes in cybersecurity, embedded systems, and intelligent transportation systems, with a strong focus on human-automation interaction, secure data management, and lightweight cryptography. The lab investigates critical challenges in aviation safety through intent inference and hybrid system modeling, while also advancing secure storage solutions using persistent memory and trusted hardware. Additionally, the lab develops lightweight cryptographic primitives—such as ultra-compact AES circuits—for resource-constrained environments like RFID and USB storage devices.

cybersecurityembedded systemslightweight cryptographyhuman-automation interactionsecure data management

Research Overview

Papers
658
Total Citations
4,187
Papers (5y)
107
Primary Field
Computer Science

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
107total
2022
2023
2024
2025
2026
Citations per year (5y)
160total
20222023202420252026

Selected Papers

15
1
Article|180 citations·2012
Digital forensic investigation of cloud storage services
Hyunji Chung, Jungheum Park, Sangjin Lee, Cheulhoon Kang
Digital Investigation
Information SystemsComputer Science
2
Article|66 citations·2011
A recovery method of deleted record for SQLite database
SangJun Jeon, Jewan Bang, Keun-Duck Byun, Sangjin Lee
SJR Q2Personal and Ubiquitous Computing
Computer Networks and CommunicationsComputer Science
3
Article|39 citations·2016
Forensic investigation framework for the document store NoSQL DBMS: MongoDB as a case study
Jongseong Yoon, Doowon Jeong, Chul-hoon Kang, Sangjin Lee
Digital Investigation
Information SystemsComputer Science
4
Article|36 citations·2009
Data concealment and detection in Microsoft Office 2007 files
Bora Park, Jungheum Park, Sangjin Lee
Digital Investigation
Computer Vision and Pattern RecognitionComputer Science
5
Article|32 citations·2011
A study on multimedia file carving method
Byeongyeong Yoo, Jungheum Park, Sungsu Lim, Jewan Bang, Sangjin Lee
SJR Q1Multimedia Tools and Applications
Information SystemsComputer Science
6
Article|28 citations·2012
Forensic analysis techniques for fragmented flash memory pages in smartphones
Jungheum Park, Hyunji Chung, Sangjin Lee
Digital Investigation
Information SystemsComputer Science
7
Article|27 citations·2020
Study of identifying and managing the potential evidence for effective Android forensics
Dohyun Kim, Sangjin Lee
SJR Q1Forensic Science International Digital Investigation
Information SystemsComputer Science
8
Article|19 citations·2011
Analysis of changes in file time attributes with file manipulation
Jewan Bang, Byeongyeong Yoo, Sangjin Lee
Digital Investigation
Information SystemsComputer Science
9
Article|19 citations·2015
Intent Inference-Based Flight-Deck Human-Automation Mode-Confusion Detection
Sangjin Lee, Inseok Hwang, Kenneth Leiden
SJR Q2Journal of Aerospace Information Systems

In this paper, a new framework based on intent inference is proposed to detect the flight-deck human-automation mode confusion. Due to the rapid advancement of flight-deck technology, human-automation issues have become a core area of focus in today’s aviation safety. The complexity of the advanced flight deck leads to new safety concerns such as dysfunctional interaction between the human and the automation. To reduce the occurrence of incidents caused by the human-automation issues, it is nece

Social PsychologyPsychology
10
Article|18 citations·2019
Forensic signature for tracking storage devices: Analysis of UEFI firmware image, disk signature and windows artifacts
Doowon Jeong, Sangjin Lee
Digital Investigation
Information SystemsComputer Science
11
Article|18 citations·2015
Event‐based state estimation for stochastic hybrid systems
Sangjin Lee, Inseok Hwang
SJR Q2IET Control Theory and ApplicationsOA

This study presents a state estimation algorithm for the stochastic hybrid system with event‐based sampling. In event‐based sampling, sensors transmit their measurements to an estimator only when predefined events happen, to reduce the communication cost. On the basis of the event‐based sampling, the hybrid state estimation problem is formulated as to compute the probability density of the hybrid state with the sequence of noisy measurements generated at certain events. This hybrid state estimat

Control and Systems EngineeringEngineering
12
Article|18 citations·2017
A method and tool to recover data deleted from a MongoDB
Jongseong Yoon, Sangjin Lee
Digital Investigation
Information SystemsComputer Science
13
Article|17 citations·2022
X-SSD: A Storage System with Native Support for Database Logging and Replication
Sangjin Lee, Alberto Lerner, André Ryser, Kibin Park, Chanyoung Jeon, Jinsub Park, Yong Ho Song, Philippe Cudré-Mauroux
Proceedings of the 2022 International Conference on Management of DataOA

Transaction logging and log shipping are standard techniques to provide recoverability and high availability in data management systems. They entail an update to a local log file at every transaction and sending such an update to a remote site in a coordinated fashion. Modern databases have leveraged technologies such as Persistent Memory (PM) and RDMA-enabled networking to perform these updates as fast as possible. This mix of technologies, however, presents several drawbacks: some technologies

Computer Networks and CommunicationsComputer Science
14
Article|17 citations·2014
Data fragment forensics for embedded DVR systems
Jungheum Park, Sangjin Lee
Digital Investigation
Information SystemsComputer Science
15
Article|16 citations·2009
Forensic investigation of Microsoft PowerPoint files
Jungheum Park, Sangjin Lee
Digital Investigation
Computer Vision and Pattern RecognitionComputer Science

Research Areas

Information SystemsArtificial IntelligenceComputer Networks and CommunicationsHealth Information ManagementComputer Vision and Pattern RecognitionSignal Processing

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