- 정기석 | 임베디드 시스템온칩 (Embedded System on Chip)
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- 한양대학교 융합전자공학부
- kchung@hanyang.ac.kr
- 02-2220-0396
- http://esoc.hanyang.ac.kr/
- Room 715,716 IT/BT Building & 산학기술관 Room 511, Hanyang University, Wangsimni-ro 222, SEOUL, KOREA, 04763
- 학력 Education
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- 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
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- 2004.3 ~ 한양대학교 융합전자공학부 교수
- 2001.9 ~ 2004.2 홍익대학교 컴퓨터공학과 조교수
- 2000.7 ~ 2001.8 (미) Intel Corp. Staff Engineer
- 관심분야 Research Interest
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- 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
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- 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)
- Direct Conversion: Accelerating Convolutional Neural Networks Utilizing Sparse Input Activation
- 연구실 이름 Laboratory Name
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- ESoC LAB
- 연구분야 Field of Research
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- 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