Recent Research Interests

[ MPSoC Architecture/Platform Design for IoT, AI & Communication Applications ]

• Accelerator design for neural networks (CNN, RNN, LSTM, 3D-CNN...etc) using 3D-SRAM

• Hierarchical configurable interconnect with 3D-SRAM for memory-centric computing

• Memory sub-system for heterogeneous multi-core SoC/SiP

• Accelerator-rich and memory-rich computer architectures for domain-specific computing

• Energy-efficient FPGA-SoC platforms for mmWave radars & mmWave communications

• System-level power analysis and noise reduction in High-performance computing (HPC) or 3DIC

[ Circuit/Technology Co-Design using Monolithic/TSV 3DIC, emerging memory & devices ]

• SRAM-based and NVM-based computation-in-memory circuits and architecture for neural networks

• Power management and data communications for 3D-IC (Monolithic 3D-IC & TSV 3D-IC)

• Energy-Efficient digital IC (VLSI) design using emerging memory & devices

• Low-power embedded memory design (Latch, SRAM, Register-File, FIFO, CAM/TCAM)

• Ultra-low voltage IC design for IoT and biomedical applications

• Biomedical circuits and microsystems for neural-sensing applications

Lab Award

• "Monolithic 3D-IC Structure and Fabrication Using Location-Controlled-Grain Technique," 2019 Future Technology Award, MOST, Taiwan. (collaboration between NCTU and TSRI)