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CheolJun Park

Kyung Hee University · 工学

研究室紹介

Professor CheolJun Park's research lab specializes in advanced sensor systems and integrated circuit design for biomedical and wireless communication applications. The lab focuses on developing miniaturized, low-power sensor nodes for wireless surgical navigation and neural interface systems, emphasizing electromagnetic sensing, signal processing, and real-time data acquisition. Key research directions include the design of high-dynamic-range neural recording circuits, interface ICs for gas sensors, and secure, passive monitoring of cellular networks through innovative LTE sniffer technologies. The lab bridges cutting-edge hardware design with practical applications in healthcare, environmental monitoring, and mobile network security.

electromagnetic sensingneural interfacesensor interface ICLTE securitybiomedical sensors

Research Overview

Papers
10
Total Citations
77
Papers (5y)
7
Primary Field
工学

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
7total
2020
2021
2023
2025
2026
Citations per year (5y)
69total
20202021202320252026

Selected Papers

10
1
Article|33 citations·2023
LTESniffer: An Open-source LTE Downlink/Uplink Eavesdropper
Tuan Hoang, CheolJun Park, Mincheol Son, Taekkyung Oh, Sangwook Bae, Junho Ahn, Beomseok Oh, Yongdae Kim

LTE sniffers are important for security and performance analysis because they can passively capture the wireless traffic of users in LTE network. However, existing open-source LTE sniffers have only limited functionality and cannot decode data traffic. This paper introduces LTESNIFFER, the first open-source LTE sniffer that can passively decode both uplink and downlink data traffic. Implementing a sniffer is not trivial because one needs to understand detailed configurations and parameters to su

Artificial IntelligenceComputer Science
2
Article|31 citations·2021
BaseSpec: Comparative Analysis of Baseband Software and Cellular Specifications for L3 Protocols
Eun-Soo Kim, Dongkwan Kim, CheolJun Park, Insu Yun, Yongdae Kim
OA

Cellular basebands play a crucial role in mobile communication. However, it is significantly challenging to assess their security for several reasons. Manual analysis is inevitable because of the obscurity and complexity of baseband firmware; however, such analysis requires repetitive efforts to cover diverse models or versions. Automating the analysis is also non-trivial because the firmware is significantly large and contains numerous functions associated with complex cellular protocols. There

Biomedical EngineeringEngineering
3
Article|4 citations·2020
Miniature Electromagnetic Sensor Nodes for Wireless Surgical Navigation Systems
Hyunwoo Park, CheolJun Park, Soon-Jae Kweon, Ji-Hoon Suh, Jaesuk Choi, Minkyu Je

This paper presents a miniature electromagnetic (EM) sensor node for wireless surgical navigation systems. The sensor node measures the intensity of the EM field originated from the EM field generator placed at the predefined position and determines the position and orientation of the object where the sensor node is attached. The wireless electromagnetic sensor node performs analog and digital signal processing as well as wireless communication. The EM field signal from the generator is detected

Electrical and Electronic EngineeringEngineering
4
Article|4 citations·2018
Technical Review: Interface Integrated Circuits for Metal-Oxide GAS Sensors
Ho Yong Seong, Soon-Jae Kweon, Ji-Roon Suh, J. Lee, CheolJun Park, Yoontae Jung, Minkyu Je

As the air quality becomes one of important factors in human life, interest in the development of good gas sensor systems is steadily increasing. Accordingly, the importance of the interface integrated circuit (IC) for metal-oxide gas sensors also increases. For the implementation of smart gas sensor systems, circuit designers need to consider several factors such as power consumption, detection range, size, and selectivity, simultaneously. In this paper, we review the operation principle and sy

Electrical and Electronic EngineeringEngineering
5
Article|2 citations·2018
Technical Review: Electromagnetic Sensor System for Localization of Medical Devices
CheolJun Park, Hyunwoo Park, Jaesuk Choi, Hongseok Shin, Yoontae Jung, Ho Yong Seong, Minkyu Je

The electromagnetic (EM) sensor system is one of most widely-used sensor systems for object localization. A distinct advantage of providing position and orientation information without line-of-sight configuration makes the EM sensor system applicable to various fields such as motion detection, object tracking, and sports posture analysis. The sensor measures the intensity of electromagnetic field from the field generator, which can be converted into the position and orientation information after

Computer Vision and Pattern RecognitionComputer Science
6
Article|2 citations·2018
Technical Review: Neural Recording Circuits for Bidirectional Neural Interface
Yoontae Jung, Hyuntak Jeon, Taeju Lee, Ho Yong Seong, CheolJun Park, Minkyu Je

A variety of neurological therapeutic devices and brain machine interface applications have increased the need of closed-loop neuromodulation systems. The closed-loop system requires a bidirectional neural interface which can perform both recording and stimulation functions. In such a system, large artifacts caused by high-voltage stimulation strongly interfere the recording operation, which needs to acquire very weak neural signals. As a result, the dynamic range, or the span of the signal magn

Cognitive NeuroscienceNeuroscience
7
Article|1 citations·2025
FirmState: Bringing Cellular Protocol States to Shannon Baseband Emulation
Suhwan Jeong, Beomseok Oh, Keunyeong Kim, Insu Yun, Yongdae Kim, CheolJun Park
OA

Cellular baseband processors represent critical security components in modern mobile devices, yet they remain challenging to analyze due to their complexity and restricted access. Recent advances in baseband research introduced FirmWire, the state-of-the-art emulator enabling full-system baseband emulation with extensive features debugging capabilities. However, it lacks protocol state awareness, significantly limiting its coverage and fidenlity. While implementing such support demands substanti

Computer Networks and CommunicationsComputer Science
8
Article|0 citations·2025
OTABase: Enhancing Over-the-Air Testing to Detect Memory Crashes in Cellular Basebands
CheolJun Park, Marc Egli, B. H. Oh, Tuan Hoang, Suhwan Jeong, Martin Crettol, Insu Yun, Mathias Payer, Yongdae Kim

Baseband processors (BPs) in cellular devices implement complex radio protocols, and memory corruption vulnerabilities in these implementations can lead to critical security breaches, including remote code execution. Traditional approaches to detecting such vulnerabilities rely on reverse engineering or emulation. However, these methods face significant scalability challenges due to proprietary firmware and architectural complexities. Over-the-air (OTA) testing offers broader applicability but p

Electrical and Electronic EngineeringEngineering
9
Article|0 citations·2026
POSTER: Accountable Cross-Operator 5G Charging via TEEs
Mijin Shin, W M Park, S. Bae, CheolJun Park, Seongmin Kim
Electrical and Electronic EngineeringEngineering
10
Article|0 citations·2025
CITesting: Systematic Testing of Context Integrity Violations in LTE Core Networks
Mincheol Son, Keunyeong Kim, Beomseok Oh, CheolJun Park, Yongdae Kim
OA

Cellular networks increasingly support critical infrastructure, yet their security remains an ongoing concern. While prior research has focused mainly on downlink vulnerabilities, uplink security—how user equipment (UE) affects the core network—has received limited attention. We study a class of uplink vulnerabilities, which we define as context integrity violations (CIVs), where an unauthenticated or improperly authenticated UE modifies the internal state of other subscribers. Prior work identi

Computer Networks and CommunicationsComputer Science

Research Areas

Electrical and Electronic EngineeringComputer Networks and CommunicationsArtificial IntelligenceBiomedical EngineeringCognitive NeuroscienceComputer Vision and Pattern Recognition

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