CURRICULUM VITAE
KyeongDeok Baek
Work Experiences
- Daejeon Science High School · Part-time Lecturer 2026.03 –
- Korea Advanced Institute of Science and Technology (KAIST) · Institute of Information Electronics · Postdoctoral Researcher 2024.03 –
- Olzetek · CUop (Company-University Cooperation) Student Internship 2015.07 – 2015.08
- Developed a PCI driver for a product.
- Electronics and Telecommunications Research Institute (ETRI) · Student Internship 2014.07 – 2014.08
- Wrote a short survey paper on operating systems for the Internet of Things from a security perspective.
Education
- Korea Advanced Institute of Science and Technology (KAIST) · School of Computing · M.S. & Ph.D. Integrated Program 2016.03 – 2024.02
- Dissertation: Enhancing Physical Environment Interactive Services by Modeling and Learning Uncertain Factors
- Korea Advanced Institute of Science and Technology (KAIST) · School of Computing · B.S. 2012.02 – 2016.02
- Daejeon Science High School 2010.02 – 2012.02
Publications
SCI(E) Journals
- 2025, 2nd author, “Hierarchical Decentralized Autoscaling for Spatio-temporal Load Bursts”, IEEE TSC (JCR 2024 IF: 5.8)
- 2025, 1st author, “Effective Selection of Public IoT Services by Learning Uncertain Environmental Factors Using Fingerprint Attention”, Applied Intelligence (JCR 2024 IF: 3.5)
- 2025, 1st author, “MultiFedRL: Efficient Training of Service Agents for Heterogeneous Internet of Things Environments”, IEEE IoT Journal (JCR 2024 IF: 8.9)
- 2024, 3rd author, “Personalized User Models in a Real-world Edge Computing Environment: A Peer-to-peer Federated Learning Framework”, JWE (JCR 2024 IF: 1)
- 2023, 2nd author, “Fully Decentralized Horizontal Autoscaling for Burst of Load in Fog Computing”, JWE (JCR 2023 IF: 0.7)
- 2022, 1st author, “Dynamic and Effect-driven Output Service Selection for IoT Environments Using Deep Reinforcement Learning”, IEEE IoT Journal (JCR 2022 IF: 10.6)
- 2020, Corresponding author, “A Human-centric and Environment-aware Testing Framework for Providing Safe and Reliable Cyber-Physical System Services”, JWE (JCR 2020 IF: 0.617)
International Conferences
- 2026, 1st author, Regular, “LANCE: Linguistic Agent Network for Cooperative Ensemble of Heterogeneous Physical AI Services”, IEEE ICWS
- 2025, 3rd author, Poster, “Troubleshooting Microservices with Heterogeneous Graph Neural Network”, ICWE
- 2025, 2nd author, Late-Breaking Work, “WYSIMWYG: Simulation-based Decision Support for Data Distribution of Hyperlocal Services in Edge Cloud Environments”, CHI
- 2024, 2nd author, Regular, “Effective Model Replacement for Solving Objective Mismatches in Pre-trained Model Compositions”, APSEC
- 2024, 2nd author, Work-in-progress, “HiDRA: A Hierarchical Decentralized Reactive Autoscaler for Spatio-temporal Bursts of Load”, IEEE ICWS
- 2024, 2nd author, Workshop, “EPFLU: Efficient Peer-to-peer Federated Learning for Personalized User Models in Edge-Cloud Environments”, BECS
- 2023, 1st author, Ph.D. Symposium, “Learning-based Quality of Experience Prediction for Selecting Web of Things Services in Public Spaces”, ICWE
- 2023, 2nd author, Workshop, “DESA: Decentralized Self-Adaptive Horizontal Autoscaling for Bursts of Load in Fog Computing”, BECS
- 2020, 2nd author, Fast abstract, “Cache-sharing Distributed Service Registry for Highly Dynamic V2X Environments”, IEEE COMPSAC
- 2019, 1st author, Regular, “Effect-driven Dynamic Selection of Physical Media for Visual IoT Services using Reinforcement Learning”, IEEE ICWS
- 2019, 2nd author, Workshop, “Environment-aware and Human-centric Software Testing Framework for Cyber-Physical Systems”, MATWEP
- 2019, 1st author, Demo, “VR-Powered Scenario-Based Testing for Visual and Acoustic Web of Things Services”, ICWE
- 2019, 1st author, Ph.D. Symposium, “Effect-Driven Selection of Web of Things Services in Cyber-Physical Systems Using Reinforcement Learning”, ICWE
- 2018, 1st author, Short, “Spatio-Cohesive Service Selection Using Machine Learning in Dynamic IoT Environments”, ICWE
- 2017, 1st author, Regular, “Spatially Cohesive Service Discovery and Dynamic Service Handover for Distributed IoT Environments”, ICWE
Domestic
- 2021, 1st author, Regular, “Service Selection Using Multi-agent Reinforcement Learning to Minimize Physical Interference Between Internet of Things Services”, KSC
- 2020, 1st author, Regular, “Development of Platform-independent IoT Service Framework for Solving Heterogeneity Problem”, KSC
- 2019, 2nd author, “An Optimization Method for Perceived Quality of Services in Service-oriented V2X Software Environments”, Journal of KIISE
- 2019, 1st author, “VR-based Simulation for Evaluation of Quality of Visual Services in IoT Environments”, KIISE TCP
- 2019, 2nd author, Regular, “Optimizing Perceived Quality of Services in Service-oriented V2X Software Environments”, KCSE · Best paper
- 2018, 1st author, Regular, “VR-based Simulation for Evaluating Service Quality of Visual Services in IoT Environments”, KSC · Best presentation paper
- 2016, 1st author, “Dynamic Discovery of Geographically Cohesive Services in Internet of Things Environments”, Journal of KIISE
- 2016, 1st author, Regular, “Dynamic Discovery of Geographically Cohesive Services in Internet of Things Environments”, KCSE · Best paper
Patents
- 2025, 2nd inventor, Application, “Method and Apparatus for Federated Learning based on Multi-dimensional Clustering”, PCT
- 2025, 3rd inventor, Application, “Effective Model Replacement for Solving Objective Mismatches in Pre-trained Model Compositions”, PCT
- 2023, 2nd inventor, Registration, “Electronic Device for Effect-driven Dynamic Media Selection for Visual IoT Service Using Reinforcement Learning and Operating Method Thereof”, US
- 2023, 2nd inventor, Registration, “Spatio-Cohesive Service Discovery and Dynamic Service Handover for Distributed IoT Environments”, US
- 2025, 2nd inventor, Application, “Method and Apparatus for Federated Learning based on Multi-dimensional Clustering”, Republic of Korea
- 2025, 2nd inventor, Application, “Effective Model Replacement for Solving Objective Mismatches in Pre-trained Model Compositions”, Republic of Korea
- 2023, 3rd inventor, Application, “Method and System for Decentralized Self-Adaptive Horizontal Autoscale for Bursts of Load in Fog Computing”, Republic of Korea
- 2025, 2nd inventor, Registration, “Method and System for Effective Selection of Public IoT Services by Learning Environmental Factors Using Fingerprint Attention”, Republic of Korea
- 2022, 2nd inventor, Registration, “Electronic Device For Effect-Driven Dynamic Selection of Physical Media For Visual IoT Service Using Reinforcement Learning And Operating Method Thereof”, Republic of Korea
- 2021, 2nd inventor, Registration, “VR-powered Scenario-based Testing Method And Apparatus For Visual And Acoustic Web Of Things Service”, Republic of Korea
- 2020, 2nd inventor, Registration, “Spatio-cohesive Service Discovery And Dynamic Service Handover For Distributed IoT Environments”, Republic of Korea
- 2020, 2nd inventor, Registration, “Optimizing Perceived Quality Of Services By Utilizing Genetic Algorithm In Service-oriented V2X Software Environments”, Republic of Korea
Academic Experiences
- 2027 ICSE — Program Committee · 49th IEEE/ACM International Conference on Software Engineering (Tool Demonstration and Data Showcase)
- 2026 ICST — Local Registration Co-Chair · 19th IEEE International Conference on Software Testing, Verification and Validation
Research Projects
- Multi-agent Cooperative Validation and Specialization for Enhancing Reliability of AI-based Services · NRF · Principal Investigator 2025.06 – 2028.05
- Physical AI millimeter-wave Radar Module Development for Individual Environment-optimized AI Autonomous Vehicle Applications · NRF · Advisory Committee Member 2025.09 – 2026.08
- Methodology of Learning Uncertain Factors for Effective Provision of Ambient Interactive Services · NRF · Principal Investigator 2024.09 – 2025.08
- Development of Dependable and Highly Usable Big Data Platform, and Analysis and Prediction Services Technology in Edge Clouds · IITP · Student Researcher, Postdoctoral Researcher 2020.07 – 2025.05
- Research on an Edge Computing based AI Service Platform for Proactive Traffic Safety using Big Data · KAIA · Student Researcher 2021.04 – 2022.12
- Optimizing Effect Delivery and User Cognition of IoT Services Using Machine Learning and VR Technologies · NRF · Student Researcher 2019.09 – 2022.02
- Development and On-the-fly Verification of System of Systems for Reliable and Intelligent CPS Applications · NRF · Student Researcher 2017.09 – 2020.12
- User-centric Service Provision Using Fog Computing in Widely Distributed Internet of Things Environments · NRF · Student Researcher 2016.06 – 2019.05
- Development of Autonomous IoT Collaboration Framework for Space Intelligence · IITP · Student Researcher 2017.04 – 2018.12
- Development of IoT-based Trustworthy and Smart Home Community Framework · IITP · Student Researcher 2016.04 – 2017.02
- Study on Distributed Supercomputer Based on Cloud and Fog Computing · KAIST · Student Researcher 2016.04 – 2016.12
- Mission-oriented Service Modeling and Coordination for System-of-Systems · ADD · Student Researcher 2016.04 – 2016.06
Teaching Experiences
- Daejeon Science High School · Computational Thinking and Problem Solving · Lecturer 2026.09 – 2027.01
- Daejeon Science High School · Advanced Programming · Lecturer 2026.03 – 2026.07
- Daejeon Science High School · Object-Oriented Programming · Lecturer 2026.03 – 2026.07
- KAIST · CS101 Introduction to Programming · Representative Head TA 2020.03 – 2024.02
- Organized classes, labs, and programming exams.
- Organized online classes, labs, and programming exams during the COVID-19 outbreak.
- KAIST · CS101 Introduction to Programming · Head TA 2018.09 – 2020.02
- Led lab sessions for six hours per week.
- Developed exam problems.
- KAIST · CS457 Requirements Engineering for Smart Environments · TA (Tutorials) 2018.03 – 2018.08
- KAIST · CS220 Principles of Programming · TA (Office Hour) 2017.03 – 2017.08
- KAIST · CS459 Introduction to Services Computing · TA (Tutorials) 2016.09 – 2017.02
- KAIST · CS220 Principles of Programming · TA (Office Hour) 2016.03 – 2016.08
Awards
- 2024 College of Engineering, KAIST — Ph.D. Dissertation Award
- Enhancing Physical Environment Interactive Services by Modeling and Learning Uncertain Factors
- 2024 School of Computing, KAIST — Recognition Plaque
- Recognized for four years as representative head TA, contributing to the programming skills of KAIST students.
- 2019 KCSE — Best Paper Award
- Optimizing Perceived Quality of Services in Service-oriented V2X Software Environments
- 2018 KSC — Best Presentation Award
- VR-based Simulation for Evaluating Service Quality of Visual Services in IoT Environments
- 2018 School of Computing, KAIST — Best TA Award
- CS101 Introduction to Programming
- 2016 KCSE — Best Paper Award
- Dynamic Discovery of Geographically Cohesive Services in Internet of Things Environments
Skills
- Research: Service Composition, Agentic Software Engineering, Reinforcement Learning, Internet of Things
- Programming: Python, C, C++, C#, Java, JavaScript
- DevOps: Amazon Web Services (AWS), Docker, Git
- Back-end: Django, Flask, Spring Boot, REST API
- Front-end: HTML5, CSS
- Tools: LangChain, TensorFlow, Unity, Unreal Engine, Network Simulator 3 (NS3)
- Languages: Korean, English
Extra
- 2010 Korea Astronomy Olympiad (KAO) — High School Winter School Subject
- 2010 Korea Earth Science Olympiad (KESO) — High School Pass Second Interview
- 2009 Korea Earth Science Olympiad (KESO) — Middle School Silver Medal
- 2008 Korea Earth Science Olympiad (KESO) — Middle School Bronze Medal
- 2007–2009 Chungnam National University — Science Education Institute for the Gifted
- 2005–2006 Daejeon Dongbu Office of Education — Education Center for Gifted