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Tae-Young Kim

Data Scientist

Education

Ph.D. in Applied Artificial Intelligence

Sungkyunkwan University
2022 - Present

MS in Computer Science

Yonsei University
2017 - 2019

BS in Computer and Communications Engineering

Kangwon National University
2011 - 2016

Interests

  • Deep Learning
  • XAI (eXplainable AI)

Experiences

Associate Researcher Engineer

2019 - Present
KT R&D Center, Infra Laboratory, Seoul

International Journals

  • Optimizing CNN-LSTM neural networks with PSO for anomalous query access control
    • T.-Y. Kim and S.-B. Cho
    Neurocomputing, vol. 456, pp. 666-677, 2021. (SCIE)(IF:5.719)
  • Predicting residential energy consumption using CNN-LSTM neural networks
    • T.-Y. Kim and S.-B. Cho
    Energy, vol. 182, pp. 72-81, 2019. (SCI)(IF:7.147)
  • Web traffic anomaly detection using C-LSTM neural networks
    • T.-Y. Kim and S.-B. Cho
    Expert Systems withApplications, vol. 106, pp. 66-76, 2018. (SCIE)(IF:6.954)

    International Conference

  • Particle Swarm Optimization-based CNN-LSTM Networks for Anomalous Query Access Control in RBAC-Administered Model
    • T.-Y. Kim and S.-B. Cho
    The 14th International Conference on Hybrid Artificial Intelligent Systems (HAIS), 2019
  • Particle swarm optimization-based CNN-LSTM networks for forecasting energy consumption
    • T.-Y. Kim and S.-B. Cho
    IEEE Congress on Evolutionary Computation, 2019. In Press
  • Predicting the Household Power Consumption using CNN-LSTM Hybrid Networks
    • T.-Y. Kim and S.-B. Cho
    The 19th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL), 2018.

    Projects

    IITP - 2017.09 ~ 2018.08 스마트 핀테크 플랫폼 기술 개발
    ETRI - 2017.09 ~ 2017.11 사용자 경험상황 모델링 기법 연구
    ETRI - 2017.09 ~ 2017.11 실시간 영상 DB 분석기술 개발
    ADD - 2018.01 ~ 2019.07 실시간 DB 침입탐지시스템 개발 연구
    ETRI - 2018.04 ~ 2018.11 사용자 경험상황 시맨틱 네트워크 기반 패턴 분석 기술 연구
    KEPCO - 2018.03 ~ 2019.02 XAI(eXplainble AI) 기반 스마트 에너지 플랫폼 기술 개발

    Skills & Proficiency

    Python

    Java

    C & C++