궁재하
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궁재하 | |
---|---|
소속 | 대학원 |
부서 | 정보통신융합전공 |
전공분야 | VLSI, ML Accelerator, Low-Power Circuit Design |
DGIST Email ID | jhkung@dgist.ac.kr |
홈페이지 | https://idslab.dgist.ac.kr/ |
UGRP 주제
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관심연구분야
- High-performance system design for training deep neural networks
- Lightweight machine learning algorithms for energy-efficient inference engines
- Automated search of lightweight deep learning algorithms
- Energy-efficient hardware accelerator for scientific computing
- Understanding biological neurons by improving the performance of spike-based neural nets
- Brain signal processing using embedded hardware for the diagnosis of Parkinson’s disease
- Power-aware/thermal-aware system design methodology