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Dongjun Im

Sungkyunkwan University · Medicine

About the Lab

Professor Dongjun Im's research lab specializes in systems engineering and technology innovation, with a strong focus on R&D planning, decision-making models, and advanced diagnostic technologies. The lab develops novel frameworks such as the System Alternatives Tree (SAT) and integrates them with analytical methods like AHP for systematic technology planning and optimization. Key research directions include AI-driven cybersecurity systems (e.g., unsupervised NIDS using autoencoders), precision oncology using molecular diagnostics (e.g., ddPCR for TERT promoter mutations), and multimodal medical imaging (e.g., photoacoustic and ultrasound fusion for thyroid nodule diagnosis). The lab bridges engineering, data science, and biomedical applications to solve complex system-level challenges in defense, healthcare, and technology development.

systems engineeringtechnology planningAI-NIDSmolecular diagnosticsmultimodal imaging

Research Overview

Papers
6
Total Citations
4
Papers (5y)
6
Primary Field
Medicine

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
6total
2008
2009
2022
2026
Citations per year (5y)
4total
2008200920222026

Selected Papers

6
1
Article|2 citations·2009
기술기획안 설정을 위한「SAT」모형의 개발
권철신, 조희준, 강일중, 임동준

In this study, we propose a「System Alternatives Tree : SAT」 model, as a novel model of「Technology Tree Structure : TTS」, to set ‘Technology Planning Alternatives (TPA)’ which can achieve the final goal of R&D project. While existing studies have been mostly based on 「Decision Theory Approach」, this research attempts a 「Systems Engineering Approach」and therefore, it provides the distinguishing features through which staff in charge can analyze the total system and grasp an ideal combination of al

2
Article|1 citations·2008
제품수명주기에 근거한 제품개발 성패구조의 분석모형
권철신, 안기현, 임동준

This paper is an investigation of the structure of success & failure model in the product development. Findings of this research are: Firstly, the R&D management and support system for the product development made a significant contribution to the success of products, especially in the development of high-tech products in defence industry. Secondly, it is important to keep the balance of management between technological factors and marketable factors to accelerate the product development. High-t

3
Article|1 citations·2022
Evaluating Unsupervised Deep Learning Models for Network Intrusion Detection Using Real Security Event Data
장지호, 임동준, 성창민, 이종훈, 박종근, 정윤경

AI-based Network Intrusion Detection Systems (AI-NIDS) detect network attacks using machine learning and deep learning models. Recently, unsupervised AI-NIDS methods are getting more attention since there is no need for labeling, which is crucial for building practical NIDS systems. This paper aims to test the impact of designing autoencoder models that can be applied to unsupervised an AI-NIDS in real network systems. We collected security events of legacy network security system and carried ou

4
Article|0 citations·2026
Detection of TERT Promoter Mutations in Papillary Thyroid Carcinoma Using Droplet Digital PCR and Their Association with Aggressive Tumor Features
Jeongmin Lee, Chaiho Jeong, J E Ha, Dong-Jun Lim, Tae-Jung Kim, Baek Ki-Hyun
SJR Q1International Journal of Molecular SciencesOA

This study evaluated the reliability of droplet digital polymerase chain reaction (ddPCR) for detecting TERT promoter (pTERT) mutations in formalin-fixed, paraffin-embedded (FFPE) thyroid cancer samples and examined their association with clinicopathological features. A retrospective cohort of 296 postoperative patients with papillary thyroid carcinoma (PTC) was analyzed. DNA extracted from archived FFPE thyroidectomy specimens was examined for TERT promoter mutations using ddPCR. pTERT mutation

Endocrinology, Diabetes and MetabolismMedicine
5
Article|0 citations·2026
Dual-modal photoacoustic and ultrasound imaging for smarter biopsy decisions in thyroid nodules
Junho Ahn, Jaekyung Lee, Kwangsoon Kim, Ja Seong Bae, Chan Kwon Jung, Minseong Kim, Wonseok Choi, Byullee Park, Dong-Jun Lim, Chulhong Kim

Thyroid nodule diagnosis relies heavily on ultrasound (US) screening, but conventional imaging exhibits poor specificity, resulting in excessive fine-needle aspiration biopsies. This study presents a dual-modality approach integrating photoacoustic (PA) and US technologies to enhance biopsy decisions. We examined 106 thyroid nodules across three pathological categories: benign nodules (n=29), papillary thyroid carcinomas (n=45), and follicular neoplasms (n=32). Three PA biomarkers—spectral gradi

Biomedical EngineeringEngineering
6
Article|0 citations·2009
기술기획안의 선정을 위한 기술조합 효용측정모형의 개발
권철신, 임동준, 권계화

In this study, we propose an independent utility measurement model, as a combined model of「System Alternatives Tree : SAT」and「Analytic Hierarchy Process : AHP」, in order to set ‘Technology Planning Alternatives (TPA)’ which can achieve the final goal of R&D project. While existing studies have been mostly based on「Decision Theory Approach」or 「Qualitative Measurement」, this research attempts a 「Systems Engineering Approach」and「Quantitative Measurement」. Therefore, it provides the distinguishing f

Research Areas

Endocrinology, Diabetes and MetabolismBiomedical Engineering

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