A curated list of awesome anomaly detection resources
awesome-anomaly-detection's Introduction
Kwang-Myung Yu (유광명)
Work experience
PwC, Digital & AI (2024 ~ )
MakinaRocks, AI Project Team, Part leader, ML engineer (2023 ~ 2024)
GIVITA, AI Part, AI Engineer (2022)
Samsung Electro-mechanics, Equipment Engineering R&D Institute, pricipal research engineer (2021 ~ 2022)
Korea Electric Power Corporation(KEPCO), Data science lab., senior data scientist (2010 ~ 2020)
POSCO EnC, Power tech group., control system engineer (2008 ~ 2010)
Research interests
Machine learning for industrial application : Anomaly detection(imbalanced learn, unsupervised approach), time series forecasting, optimization, automatic control
MLOps, Deep learning for mobile platform(Jetson, Raspberry Pi), Computer vision
Honors and Activities
2nd prize of the power plant big data AI competition, Korea East-West Power Corporation, 2020
Best employee award, KEPCO research institute, 2018
Academic excellent student, Pusan national university, 2003 ~ 2006
Lecture
Data science basics for ICT employees, KEPCO, 2019
Control system tuning and data analytics, KITI, 2014 ~ 2023
Activities
Happy plant : personal blog for Data science, machine learning, and automatic control [link]