Prof. Sang-Chul Kim - Kookmin University AI·SW Graduate School

Research Overview 연구 개요

Research focuses on intelligent mobile networks, human-related machine learning, blockchain technology, IoT, and UAV localization using multi-sensor fusion (LiDAR, RADAR, Camera). Recent work includes semantic segmentation for anti-UAV systems.

지능형 모바일 네트워크, 인간 관련 머신러닝, 블록체인 기술, IoT, 다중 센서 융합(LiDAR, RADAR, 카메라)을 활용한 UAV 측위를 중점적으로 연구하고 있습니다. 최근에는 안티드론 시스템을 위한 시맨틱 세그멘테이션 연구를 수행하고 있습니다.

Research Areas 연구 분야

Intelligent Mobile Networks
Machine Learning for Human Activity
Blockchain
IoT
UAV Localization

지능형 모바일 네트워크
인간 행동 인식을 위한 머신러닝
블록체인
IoT
UAV 측위

Major Achievements 주요 연구 성과

Semantic segmentation for anti-UAV applications (Applied Sciences 2025)
High-precision UAV localization with multi-sensor fusion

Honors & Awards 수상

Vice-President, KICS
Marquis Who's Who in the World, 2016

Recent Publications 주요 논문

S.-C. Kim and Y. M. Jang, "A Semantic Segmentation Dataset and Real-Time Localization Model for Anti-Collision Alarm for Forklifts," IEEE Access, 2025
S.-C. Kim and Y. M. Jang, "Deep Learning-Based Lightweight LiDAR and Fisheye Camera Fusion for Pedestrian Detection," ICAIIC, 2025
Y.-W. Jun and S.-C. Kim, "Evaluating SAM-Based Labeling Approaches for Autonomous Driving," ICAIIC, 2025
Y. Li and S.-C. Kim, "A Study on Flight Route Optimization of UAV Air Base Station," ICOIN, 2024
M. Lamine and S.-C. Kim, "Introduction of Optimization Algorithm for Adaptive Gradient Descent for Machine Learning," ICAIIC, 2023
Y. Li and S.-C. Kim, "Vehicle Platooning Algorithm for Improving Following Control," ICOIN, 2023
Y. Kim and S.-C. Kim, "Abnormal human behavior detection based on VAE-LSTM hybrid model," ICOIN, 2023
S.-C. Kim and Y.-H. Kim, "Efficient classification of human activity using PCA and deep learning with WiFi CSI," ICAIIC, 2022