Wooseok Shin
Ph.D Candidate
Suwon
Summary
Senior Researcher working on AI-native network systems, Open RAN orchestration, and distributed intelligence for 5G/6G mobile networks. Designs networked control and resource-management mechanisms for heterogeneous RAN–edge systems, combining distributed learning with network and compute optimization. Builds simulation and emulation environments using Open5GS, UERANSIM, ns-3, and QuaDRiGa to study dynamic network behavior and end-to-end service guarantees. Leads first-author research on network orchestration, intent-driven control, and intelligent distributed systems.
Overview
10
10
years of professional experience
Work History
Graduate Researcher
Media System Laboratory in Dept. of ECE, SKKU
08.2021 - Current
- Developed AI-native network control and orchestration frameworks for heterogeneous 5G/6G Open RAN and edge environments, incorporating federated and distributed learning.
- Designed intent-driven resource management and multi-agent control mechanisms for adaptive network optimization and end-to-end service assurance.
- Built simulation and emulation testbeds using Open5GS, UERANSIM, ns-3, and QuaDRiGa to evaluate mobility, network dynamics, heterogeneous deployments, and RAN–edge coordination.
- Led first-author research on Open RAN orchestration, networked intelligence, distributed learning, and network–compute optimization.
Research Mentor / Director
IvyZen
08.2024 - 03.2026
- Directed student research programs and supervised interdisciplinary projects across AI, computer science, engineering, environmental modeling, and data-driven systems.
- Mentored students throughout the full research process, including topic formulation, literature review, dataset development, implementation, experimental design, academic writing, and presentation preparation.
- Guided interdisciplinary STEM projects integrating machine learning, network and system simulation, optimization, and applied data analysis, with an emphasis on developing research-ready methodology and technical communication skills.
Lead Instructor and Contents Team Leader
Flowedu
02.2019 - 07.2024
- Led instruction in algorithmic problem solving, data structures, and algorithms using Python and C++ for AP Computer Science A, USACO, and competitive programming.
- Directed the development of contest-style practice problems, official test cases, and curriculum-aligned programming materials, with emphasis on correctness, difficulty calibration, and problem-solving skills.
- Designed lecture materials and hands-on programming exercises for middle- and high-school students, integrating computational thinking, algorithmic reasoning, and practical implementation.
Researcher
Flowedu
07.2020 - 07.2021
- Developed educational and system-support software for programming and algorithm-learning platforms.
- Contributed to system design, implementation, and operational improvement for online learning services.
Junior Researcher
Computer Network Laboratory in Dept. of CSE, SKKU
03.2017 - 07.2020
- Investigated vehicle-to-vehicle (V2V) communication protocols and network simulation for smart mobility and autonomous driving applications.
- Evaluated protocol-level performance and communication reliability in dynamic vehicular network environments.
- Conducted foundational research on vehicular networking and intelligent transportation systems, with a focus on connected vehicle communication.
Research Intern in Photolithography Division
Samsung China Semiconductor Co., Ltd.
Xi’an Semiconductor Plant
07.2016 - 08.2016
- Participated in Samsung Electronics’ 3rd-Grade Open Recruitment Internship Program within the Photolithography Division.
- Supported photolithography process diagnostics and exposure-equipment data analysis for DRAM manufacturing and production monitoring.
- Gained hands-on experience in semiconductor fabrication, process control, and manufacturing data analysis in a large-scale production environment.
Education
Ph.D. - Electrical and Computer Engineering
Sungkyunkwan University
Seoul, Korea02-2027
B.S. - Semiconductor Systems Engineering
Sungkyunkwan University
Suwon, Korea08-2017
High School Diploma -
Gyeongnam Science High School
Jinju, Korea 04.2001 -
Skills
Programming: Python, CNetwork Platforms: Open5GS, UERANSIMSimulation: ns-3, QuaDRiGaAI/ML Implementation: Federated Learning, GNN, Reinforcement Learning
Timeline
Research Mentor / Director
IvyZen
08.2024 - 03.2026
Graduate Researcher
Media System Laboratory in Dept. of ECE, SKKU
08.2021 - Current
Researcher
Flowedu
07.2020 - 07.2021
Lead Instructor and Contents Team Leader
Flowedu
02.2019 - 07.2024
Junior Researcher
Computer Network Laboratory in Dept. of CSE, SKKU
03.2017 - 07.2020
Research Intern in Photolithography Division
Samsung China Semiconductor Co., Ltd.
07.2016 - 08.2016
High School Diploma -
Gyeongnam Science High School
04.2001 -
B.S. - Semiconductor Systems Engineering
Sungkyunkwan University
Ph.D. - Electrical and Computer Engineering
Sungkyunkwan University
Research Interests
- AI-Native Network Systems
- 5G / 6G Open RAN and Network Orchestration
- Intent-Driven Network Management
- Networked and Distributed Intelligence
- Federated and Distributed Learning
Publications (SCI(E) Journal)
- Wooseok Shin, Janghoon Yang, Zhiqiang Shen, Minseok Choi and Jitae Shin, "Transfer-enhanced Federated Learning with Dynamic Clustering for Traffic Management in 5G Open RAN", Elsevier Computer Communications (SCI(E), 1st revision), (2026)
- Wooseok Shin, Janghoon Yang, Zhiqiang Shen, Minseok Choi and Jitae Shin, "St-INTEL: Stackelberg-Intent Enhanced Learning based Resource Allocation in 5G Open RAN", Elsevier Computer Communications - Special Issue: Intent-based Agentic AI for Next-Generation Networking (SCI(E), Under Review) , (2026)
- Wooseok Shin, Janghoon Yang and Jitae Shin, "Federated Learning with Dual-Scale Hybrid Divergence and Relation-Aware Embedding for Structured Non-IID Data", Elsevier Applied Soft Computing (SCI(E) Q1, 1st revision), (2026)
- Wooseok Shin, Zhiqiang Shen, Gyutae Oh and Jitae Shin, "Causal Representation based Personalized Federated Learning with Causal Graph Consensus for Medical Imaging", MDPI Electronics - Special Issue: AI-Driven Medical Image/Video Processing (SCI(E), Published) , (2026)
- Zhiqiang Shen, Wooseok Shin and Jitae Shin, "Time-Aware Graph Neural Network for Asynchronous Multi-Station Integrated Sensing and Communications Fusion in Open RAN", MDPI Sensors - Special Issue: Mobile Sensing and Computing in Internet of Things (SCI(E), Published), (2026)
Publications (Top-tier Conference)
- Wooseok Shin, Zhiqiang Shen, and Jitae Shin, "Pandora: Personalized Adaptive Network-Driven Open RAN Orchestration with Federated Contracts", IEEE INFOCOM 2027 Main Conference (BK Tier 1, Submitted)
- Zhiqiang Shen, Wooseok Shin, and Jitae Shin, "When Does Restoration-Aware Scheduling Pay? A Matched-Restorer Study of O-RAN Telemetry", IEEE INFOCOM 2027 Main Conference (BK Tier 1, Submitted)
Publications (Others)
- Wooseok Shin, Jitae Shin, "FedGCD: Federated Learning Algorithm with GNN based Community Detection for Heterogeneous Data", Journal of Internet Computing and Services, (KCI, Published), (2023)
- Wooseok Shin, Jitae Shin, "FedVar : Federated Learning Algorithm with Weight Variation in Clients", International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC), Phuket, Thailand (Jul. 2022) - Oral
- 신우석, 신지태, "클라이언트 가중치의 다봉분포시 분산을 이용한 연합학습", Workshop on Image Processing and Image Understanding (IPIU), Jeju, Korea (Feb. 2023) - Poster
- 신우석, 이영석, 염익준, "스마트 자동차 서비스를 위한 차량 간 통신 프로토콜 분석", 한국통신학회 하계종합학술발표회, Jeju, Korea (Jun. 2017) - Poster
AWARDS AND HONORS
- 3rd Place, Undergraduate Thesis Symposium, College of Information and Communication Engineering in SungKyunKwan University, Korea (Aug. 2017)
- Samsung Semiconductor Scholarship, Samsung Electronics (Device Solution), Sungkyunkwan University, Korea (Mar. 2013 - Aug. 2017)