Namkyung Yoon
About
Hello! I am currently a doctoral student at Korea University, deeply engaged in the compelling field of deep learning, with a specific focus on attention mechanisms. My fascination with these complex models is rooted in the belief that they hold the potential to radically transform how we address intricate problems, particularly within Electrical and Electronic Engineering. My objective is to incorporate deep learning into a diverse array of sectors in this field, thereby enhancing conventional methodologies with the remarkable capabilities of artificial intelligence. As I persist in bridging the gap between theoretical inquiry and practical application, my goal is to bring innovative concepts into reality, enhancing the current state of affairs with cutting-edge technology. I invite you to join me on this journey, as we extend the limits of what is conceivable, using deep learning to redefine the future of Electrical and Electronic Engineering.
Research Interests
Deep Learning
Attention Mechanism
Generative AI
Exploratory Data Analysis
Contact
yoonnamkyung93 AT gmail DOT com
Education
Korea University, Seoul, Republic of Korea
MS/Ph.D., Electrical Engineering, Feb 2021 - Present
Adviser: Professor Hwangnam Kim
Research Experiences
Smart Network Research Department (Korea Electronics Technology Institute) Researcher (Aug 2020 ~ Feb 2021)
Publications
International Journals
"Detecting DDoS based on attention mechanism for Software-Defined Networks"
Namkyung Yoon and Hwangnam Kim
Journal of Network and Computer Applications, 103928, 2024.
"Adaptive Sensing Data Augmentation for Drones Using Attention-Based GAN"
Namkyung Yoon*, Kiseok Kim*, Sangmin Lee*, Jin Hyoung Bai, Hwangnam Kim
Sensors 24 (16), 5451, 2024.
"Unveiling Hidden Insights in Gas Chromatography Data Analysis with Generative Adversarial Networks"
Namkyung Yoon*, Wooyong Jung* and Hwangnam Kim
Chemosensors, 12, 131, 2024.
"A Multi-Stage Approach to UAV Detection, Identification, and Tracking Using Region-of-Interest Management and Rate-Adaptive Video Coding"
Dongkyu ‘Roy’ Lee, Sanghong Kim, Namkyung Yoon, Wonki Seo, and Hwangnam Kim
Applied Sciences, 14(13):5559, June 2024.
"DeepRSSI: Generative Model for Fingerprint-Based Localization."
Namkyung Yoon*, Wooyong Jung*, and Hwangnam Kim
IEEE Access, Vol. 12, Pages 66196-66213, May 2024
"STEAM: Spatial Trajectory Enhanced Attention Mechanism for Abnormal UAV Trajectory Detection."
Namkyung Yoon*, Dongjae Lee*, Kiseok Kim*, Taehoon Yoo, Hyeontae Joo and Hwangnam Kim
Applied Sciences, 14(1), 248, December 2023
International Conferences
"DMGAN: Bridging AI and Chemistry with Enhanced GC-MS Data Generation"
Namkyung Yoon and Hwangnam Kim
2024 IEEE SENSORS, Kobe, Japan, October 2024
"Pioneering AI in Chemical Data: New Frontline With GC-MS Generation"
Namkyung Yoon and Hwangnam Kim
ICAIIC (International Conference on Artificial Intelligence in Information and Communication), Osaka, Japan, February 2024
"SSDNE: Semi-realistic SDN Environment for Improving Network Emulation"
Namkyung Yoon and Hwangnam Kim
ICNGC, Jeju, Korea , November 2021
Domestic Conferences
"A Study on IED Data Generation Using Attention-Based Generation Model"
Namkyung Yoon, Hwangnam Kim
Proc. Korean Society of Chemical, Biological and Radiological Defense, September 2024
"QRS waveform-based Generative Model for Electrocardiogram Information"
Namkyung Yoon, Kiseok Kim, Dongjae Lee, Sanghong Kim, and Hwangnam Kim
Proc. Korea Institute of communications and Information Sciences, June 2024
"Study on Improving Network Reliability for Swarming Robots"
Hyeontae Joo, Namkyung Yoon, and Hwangnam Kim
The 18th Korea Robotics Society Annual Conference, February 2023
"Leveraging Blockchain for Ensuring SDN Reliability"
Seoeun Choi, Taehoon Yoo, Namkyung Yoon, and Hwangnam Kim
Proc. Korea Institute of communications and Information Sciences, June 2022
"Simulating Multiple Unmanned Vehicle Control based on Software-Defined Networks"
Seunghwan Lee, Hyeontae Joo, Namkyung Yoon, and Hwangnam Kim
Proc. Korea Institute of Military Science and Technology, June 2022
"Data Augmentation using Generative Adversarial Network for Gas Chromatography Analysis"
Namkyung Yoon and Hwangnam Kim
Proc. Korean Society of Chemical, Biological and Radiological Defense, March 2022
"Integrating virtual and physical networks based on software-defined network"
Namkyung Yoon, Seongjoon Park and Hwangnam Kim
Proc. Korea Institute of Military Science and Technology, November 2021
Patents
International Patent Application (U.S.)
U.S. Patent Application No. US 11,893,579
METHOD OF REDUCING SMART CONTRACT FEE OF DAPP
Seongjoon Park, Jaeseung Lee, Namkyung Yoon, Hwangnam Kim
Domestic Patent
KR 10-2023-0179856
가스 크로마토그래피 데이터 생성 장치 및 방법
Namkyung Yoon, Hwangnam Kim
KR 10-2021-0141288
METHOD OF REDUCING SMART CONTRACT FEE OF DAPP
Seongjoon Park, Jaeseung Lee, Namkyung Yoon, Hwangnam Kim
KR 10-2023-0121877
APPARATUS AND METHOD FOR GENERATING VIRTUAL RECEIVED SIGNAL STRENGTH INDICATOR FINGERPRINT MAP
가상 수신 신호 세기 지시자 지문 맵 생성 장치 및 방법
Namkyung Yoon, WooYong Jung, Hwangnam Kim
Technical Skills
Languages: C++, Python
Tools: MS Visual Studio, Unreal engine
Operating Systems: MS Windows, Linux (Ubuntu)
Languages
Korean (Native)
English (Limited)