Our Projects

Project Experience

Selected research and development projects in medical AI, cyber-physical systems, networking, and safety-critical systems, including roles as Principal Investigator, postdoctoral researcher, and V&V engineer.

Mathematical Quantification of Medical Diseases and Predictive Modeling for Clinical Treatment in Advanced Medical AI

Period: Mar 2023 – Feb 2027

Funding Agency: National Research Foundation of Korea (NRF), Mid-Career Researcher Support Program
Ministry: Ministry of Science and ICT (MSIT)
Role: Principal Investigator
Affiliation: Cyber Safety Lab, Gyeongsang National University (through Defense Industry Technology Convergence Research Institute)
Project No.: RS-2023-NR07679861382116530003
Total Duration: Mar 1, 2023 – Feb 28, 2027 (Current phase: Mar 1, 2025 – Feb 28, 2026)
Total Budget: ₩366,988,000 (Current Year: ₩91,747,000)
Legal Classification: National R&D Program (Innovation Act applicable), Security Level: Non-classified

Research Goal: Advancement of medical AI through mathematical quantification of disease characteristics and predictive modeling for clinical treatment planning.

Key Approaches: Integration of statistical modeling, data-driven learning, and AI-based decision frameworks to improve diagnostic accuracy and treatment outcome prediction.

AI-based Toothbrushing Guidance Algorithm for Microcurrent Toothbrushes

Period: May 2023 – Dec 2023 (Completed)

Program: Leaders in INdustry-university Cooperation (LINC 3.0) Funding Agency: NRF / Ministry of Education Role: Principal Investigator Affiliation: Office of Leaders in Industry–University Cooperation, Gyeongsang National University Total Budget: ₩78,000,000 Legal Classification: Non-National R&D (Innovation Act applicable), Non-classified

Research Goal: Development of an AI-based personalized brushing guidance system optimized for microcurrent toothbrushes.

Key Outcomes: Designed and validated a deep-learning algorithm that analyzes user brushing motion and current feedback to provide adaptive, real-time brushing recommendations for oral health improvement.

AI-based Toothbrushing Habit Improvement Algorithm Development

Period: Sep 2022 – Jan 2023 (Completed)

Program: Leaders in INdustry-university Cooperation (LINC 3.0) Funding Agency: NRF / Ministry of Education Role: Principal Investigator Affiliation: Office of Leaders in Industry–University Cooperation, Gyeongsang National University Total Budget: ₩26,000,000 Legal Classification: Non-National R&D (Innovation Act applicable), Non-classified

Research Goal: To develop an AI algorithm that analyzes individual brushing patterns to encourage effective oral hygiene habits.

Key Outcomes: Implemented a machine learning–based behavioral analysis model utilizing sensor data to identify brushing inefficiencies and provide adaptive feedback for user habit improvement.

A Study on the Implementation of Network Slicing over Wi-Fi Networks

Period: Oct 2019 – Oct 2020 (Completed: Dec 31, 2019)

Funding Agency: Institute of Information & Communications Technology Planning & Evaluation (IITP) Industry Partner: OLRADIO Co., Ltd. Role: Principal Investigator Affiliation: Institute of Marine Industry, Gyeongsang National University Project No.: 2019-1124 Total Budget: ₩47,560,000 (Current Year: ₩18,840,000) Legal Classification: National R&D (Other Category), Non-classified, Innovation Act not applicable

Research Goal: To investigate and prototype network slicing mechanisms applicable to Wi-Fi infrastructures for dynamic service differentiation and QoS assurance.

Key Contributions: Proposed a lightweight slicing framework enabling multiple logical service channels over a shared Wi-Fi medium, enhancing real-time communication capability in edge and IoT environments.

Prototyping Automotive Plug-and-Play Application Environment under Virtualized Resources

Period: Dec 2014 – Dec 2019

Institution: University of Pennsylvania, USA Role: Postdoctoral Researcher Industrial Partner: Toyota Motor Corporation

Developed a plug-and-play (PnP) framework enabling safe and dynamic integration of in-vehicle applications over virtualized computing resources.

Focused on ensuring real-time and safety properties during runtime composition using formal modeling and compositional verification methods, and extended the formal PnP framework to support dynamic resource allocation and system reconfiguration.

Methods for Detecting Interoperability Failures in Dynamically Composed Interoperable Medical Devices

Period: Dec 2014 – (during postdoctoral appointment)

Institution: University of Pennsylvania, USA Role: Postdoctoral Researcher

Developed a formal methodology to generate monitors for integrating medical devices based on the Integrating Clinical Environment (ICE) architecture.

Designed monitoring trees and temporal-logic-based monitoring to ensure that independently developed medical devices can be safely composed to provide comprehensive clinical care.

MBAT – Combined Model-based Analysis & Testing of Embedded Systems

Period: Dec 2012 – Dec 2014

Institution: Aalborg University, Denmark Role: Postdoctoral Researcher Grant: Approx. $220,000 / 3 years

Developed use cases for modeling and analysis of automotive control systems using UPPAAL and UPPAAL SMC.

Proposed a new process algebra, PACoR (Process Algebra of Communicating Resources), and analysis methods based on UPPAAL/UPPAAL SMC, inspired by ACSR. Results were presented at ECRTS 2014 and FMICS 2015, followed by development of a translator from PACoR to UPPAAL for automated analysis.

CRAFTERS – Constraint and Application Driven Framework for Tailoring Embedded Real-time Systems

Period: Dec 2012 – Dec 2014

Institution: Aalborg University, Denmark Role: Postdoctoral Researcher Grant: Approx. $140,000 / 3 years

Developed a methodology for schedulability analysis of various scheduling systems, including hierarchical and probabilistic scheduling systems, using UPPAAL and UPPAAL SMC.

Results were presented in FACS 2013, ERTSS 2014, FACS 2014, TASE 2014, ISORC 2015, and CBSE 2015.

High Risk High Return Project: Formal Modeling and Analysis of Dynamic Production and Consumption of Resources Under Timing Constraints

Period: Jan 2012 – Dec 2012

Institution: KAIST, South Korea Role: Postdoctoral Researcher Grant: Approx. $42,000 / 1 year

Studied various types of resources for cyber-physical systems and developed modeling and analysis methods for resource-constrained systems based on process algebraic approaches. Results were published in REACTION 2012.

Safety Analysis, Verification and Validation for Nuclear Digital Equipment

Period: Jan 2011 – Sep 2011

Company: Korea Nuclear Technology Co., South Korea Role: Verification and Validation (V&V) Engineer Grant: Approx. $25,000 / 6 months

Applied formal methods to verification and validation of requirements and design of a digital hydrogen monitoring system for nuclear power plant protection systems.

FMEA of Youngkwang Nuclear Plant 3,4 Control Systems

Period: Oct 2010 – Nov 2010

Company: VITZROSYS Co., South Korea Role: Verification and Validation (V&V) Engineer

Assisted in reliability analysis of control systems via FMEA, and developed formal requirement and design specifications of control logic for nuclear power plant protection systems using STATEMATE Statecharts.

Formally verified control system models by model checking and validated them through virtual prototyping and simulation.

Study Formal Specification for Assurance of Railway Control Systems

Period: Autumn 2007 – Jun 2009

Institution: Korea Railroad Research Institute, South Korea Role: Verification and Validation (V&V) Engineer Grant: Approx. $34,000 / 2 years

Developed formal requirement and design specifications for components of a railway interlocking system, such as a Distance Control System, using STATEMATE Statecharts, and verified the models via model checking and virtual prototyping.

Formal Method and Testing for Processor Module for Safety-Critical Applications (pCOS)

Period: Jul 2001 – Apr 2008

Institution: Korea Atomic Energy Research Institute, South Korea Role: V&V Engineer and Researcher Grant: Approx. $442,000 / 7 years

Developed formal requirements and design models of a real-time operating system, pCOS (POSCON C/OS), dedicated to a Korean I&C system for nuclear power plant protection systems, using STATEMATE Statecharts.

Formally verified and validated pCOS models through model checking and virtual prototyping, and assisted in preparing certification documents for approval by KINS (Korea Institute of Nuclear Safety).

Audited Verification and Validation for Nuclear Power Plant Control System

Period: Apr 2002 – Jul 2002

Company: U-ri Technology Co., South Korea Role: Verification and Validation (V&V) Engineer Grant: Approx. $17,000 / 4 months

Audited verification and validation documents of distributed control systems (DCS) for Korean I&C nuclear power plant protection systems.

Formal Specification and Verification of Nuclear Power Plant Controlling System

Period: Sep 2000 – Sep 2001

Institution: Korea Electrical Engineering Science Research Institute, South Korea Role: Fundamental Researcher

Studied formal methods for I&C software of nuclear power plant control systems, focusing on rigorous specification and verification techniques.

Development of a Formal Method Tool for Shutdown Control Systems

Period: Feb 1999 – Nov 2000

Company: Han-U Tech Co., South Korea Role: Software Developer Grant: Approx. $17,000 / 1 year

Developed a formal analysis tool for control logic based on the Esterel analysis framework, targeting shutdown control systems in safety-critical domains.