모바일 컴퓨팅네트워킹 랩
AI • 6G • 클라우드 • IoT • 보안
AI 기반 모바일 컴퓨팅
모바일 엣지 컴퓨팅을 위한 차세대 AI 알고리즘 개발
Mobile Computing
& Networking Lab
Under the supervision of Professor Kim Seokhoon, Ph.D., MCN Lab leads research candidates for master's, Ph.D., and postdoctoral degrees in next-generation networking and AI-driven communication systems.
Overview
In the millimeter-wave and microwave length communications and artificial intelligence epochs, there has been motivated in virtualization and driven into softwarization networking to offer the best solution for resources management and orchestration with the extremely high quality-of-service (QoS).
To achieve the aforementioned perspectives, MCN Lab has determined significant goals as listed below:
- Research and development on integrated Artificial Intelligence (AI) / Mobile Edge Computing (MEC) / Network Function Virtualization (NFV) / Software-Defined Networking (SDN) / Software-Defined System (SDS) / Network Slicing for next-generation networking.
- Conduct the research based on scientific methods including theory, experimentation, originality research result, analysis, and conclusion.
- To lead the research students in taking inventiveness, supervise the individual and group research, development work, and contribute the originality research outcomes.
- Set up the research in both local and international research groups, and focus on both industrial and academy to modernize the research level.
MCN Lab always offers opportunities to intelligent and high passionate students who are willing to pursue higher education in master's, Ph.D., and postdoctoral degrees to be a part of a research team in our lab.
Our Research Focus
In the next-generation communications (5G/6G) era, we address critical challenges in resource management, traffic handling, and service orchestration.
Next-Generation Networking
5G/6G, RAN, fronthaul/backhaul/core, applied machine learning, traffic engineering
- 5G Evolved Packet Core (EPC)
- Virtual EPC & SDN
- Network Function Virtualization (NFV)
- Mobile Edge Computing (MEC)
- Network Slicing
AI/ML Systems
Convergence of AI, SDN, NFV, MEC, and network slicing for next-gen networks
- Applied Machine Learning
- Deep Learning for Networks
- AI-based SDRAN
- Intelligent Resource Management
Internet of Vehicle (IoV)
Social IoV, ultra-high reliability, ultra-low latency for V2V and V2X
- Social IoV (SIoV)
- UHRV2V Communication
- ULLV2V Communication
- Vehicle-to-Everything (V2X)
Medical Communications
Mission-critical healthcare systems with ultra-reliable low-latency communication
- Remote Operation Systems
- ECG & Hypertension Monitoring
- Hospital Bigdata Systems
- Medical IoT Networks
IoT & Sensor Networks
Heterogeneous IoT, wireless sensor networks, and real-time IoT traffic engineering
- Heterogeneous IoT (HetIoT)
- Wireless Sensor Networks
- Wireless Body Area Networks
- Narrow-Band IoT
- Real-Time IoT Traffic
Edge & Cloud Computing
Software-defined edge cloud, mobile cloud computing, and core network environments
- Software-Defined Edge Cloud (SDEC)
- Software-Defined RAN (SDRAN)
- Mobile Cloud Computing
- SDN/NFV/MEC Integration
Note: Software-Defined Mobile Edge Computing (SDMEC), SDRAN, mobile cloud computing, IoT networking, IoT/HetIoT traffic, quality-of-service and quality of user experience, 5G mobile core networks, traffic engineering, NFV/SDN/MEC, network slicing, and applied AI are under the umbrella of MCN Lab research domains.
Location
MCN Lab
M514, Multimedia Hall (22), Soonchunhyang University
Soonchunhyang-ro, Sinchang-myeon, Asan-si
Chungcheongnam-do, Republic of Korea (31538)
Address: 22 Multimedia hall M514, Soonchunhyang-ro, Sinchang-myeon, Asan-si, Chungcheongnam-do, Republic of Korea (31538)
How to Join
MCN Lab always provides the opportunity to intelligent and high passionate students from both domestic and foreign countries who are willing to pursue higher education including master's, Ph.D., and postdoctoral degrees.
If you are interested to work under the umbrella of MCN Lab research fields, you are welcome to send your resume and portfolio by the given contact information below.
Qualifications
- •Graduated in Computer Science, IT, Telecommunications, Electronic Engineering, or related fields
- •Familiar with C++, Python, OOP programming
- •Good contribution and communication skills
- •Willing to learn new innovative things and dynamic personality
- •Honest, strong commitment, and high responsibility
- •Fluent in writing, listening, speaking English
- •Willing to learn the Korean Language
- •Be a good team player
Join us in shaping the future of mobile computing and networking research at Soonchunhyang University.
Research Areas •연구 분야
Cutting-edge computing research blending Korean innovation with global impact
Meet Our Research Lab
World-class researchers and brilliant students working together to advance the frontiers of knowledge
No team members found.
Recent Publications
Selected publications from our research in top-tier venues.
No publications available at this time.
Current Research Projects
Funded projects addressing critical challenges in computing and networking.
AI-Driven Edge Computing for Smart Cities
Developing AI algorithms optimized for edge devices to enhance smart city applications.
Funding Partners
We gratefully acknowledge support from our funding partners who enable our cutting-edge research in computing and networks.
Lab Awards
Celebrating excellence in research and innovation
Recognized for outstanding contributions to the ICT platform development and innovation.
ICT Platform Award 2021
Organized by the Korea Internet Information Society and was awarded the Korea Internet Information Society President's Award.
2021 Capstone Design and Idea Hackathon Competition
Lab News
Lab Receives Major Grant for Edge Computing Research
Events & Seminars
International Workshop on Cloud Computing
Join us for a workshop featuring leading experts discussing the latest trends in cloud computing.
Weekly Seminars
Join our weekly research seminars every Wednesday at 2 PM in the lab meeting room. Open to all students and researchers.
Lab Photos
Moments from our research journey
Contact Our Lab
Interested in collaboration, research positions, or learning more about our work?
Location
Multi Media Building, Room 515
22 Sooncheonhyang-ro, Asan-si
Chungcheongnam-do, South Korea 31538
Main research lab location
mcnlab@sch.ac.kr
For general inquiries
Join Our Lab
PhD, Masters, Undergraduate positions available
We welcome applications from prospective researchers