Creative Innovation
IoT 시스템반도체 융합 인력 육성 센터

교수진

정기석 | 임베디드 시스템온칩 (Embedded System on Chip)
학력 Education
  • 90.8 ~ 98.5 : Ph.D in Computer Science, Univ. of Illinois at Urbana-Champaign, Illinois
  • 85.3 ~ 89.2 : B.E. in Computer Engineering, Seoul National University, Seoul, Korea
약력/경력 Experience
  • 2004.3 ~ 한양대학교 융합전자공학부 교수
  • 2001.9 ~ 2004.2 홍익대학교 컴퓨터공학과 조교수
  • 2000.7 ~ 2001.8 (미) Intel Corp. Staff Engineer
관심분야 Research Interest
  • Error-Correcting Codes
  • Deep Learning
  • System-on-Chip and Network-on-Chip Design
  • VLSI Design and Algorithms for Design Automation
  • Low Power Embedded Systems
  • Low Power Embedded Operating System Design
논문 Journal Article
  • Direct Conversion: Accelerating Convolutional Neural Networks Utilizing Sparse Input Activation
    이원혁, 노시동, 박상기, 정기석
    Conference of the IEEE Industrial Electronics Society(IECON) , 2020 , 18-21 Oct , @Singapore(virtual)
  • A Confidence-Calibrated MOBA Game Winner Predictor
    김동희, 이창우, 정기석
    IEEE Conference on Games , 2020 , 24-27 Aug , @Osaka - Japan(virtual)
  • A Low-Complexity Adaptive Extended Min-Sum Algorithm of Non-Binary LDPC codes
    김민호, 박경빈, 정기석
    International Conference on Computational Intelligence and Applications , 2020 , 19-21 Jun , @Beijing - China(virtual)
연구실 이름 Laboratory Name
  • ESoC LAB
연구분야 Field of Research
  • 임베디드 시스템온칩 (Embedded System on Chip)
  • Next-Gen Memory Design
  • Deep Learning
    - Design Accelerator for Neural Networks
    - Bayesian Neural Networks and Predictive Uncertainty Estimation
    - Object Detection
  • Error Correction Code
  • Heterogeneous Computing