Seoul, Republic of Korea • +82-10-9368-1374 • taewoon_kang@korea.ac.kr
Combined M.S./Ph.D. student at Korea University researching computer architecture, AI accelerators, and processing-in-memory systems. My work centers on efficient hardware and system design for modern machine learning workloads, with experience spanning ASIC design, RTL implementation, architectural simulation, and embedded AI systems.
GPA: 4.38 / 4.5 | Advisor: Gunjae Koo | Seoul, Korea
GPA: 4.28 / 4.5 | Advisor: Yongwoo Kim | Cheonan, Korea
Thesis: An Implementation of CNN-based Real-Time Face Mask Detector using Jetson Nano
Implementation of a real-time face mask detection system using CNN on Jetson Nano.
Advisor: Yongwoo Kim
Taewoon Kang, Geonwoo Choi, Taeweon Suh, Gunjae Koo
Sang-un Jo, Tae-woon Kang, Yongwoo Kim
Sang-un Jo, Tae-Woon Kang, Yongwoo Kim
Taewoon Kang, Yongwoo Kim
Seongpil Yang, Taewoon Kang
Python (PyTorch), C (Atmel, Keil), Verilog 2001, SystemVerilog
Synopsys EDA (Semi-custom ASIC design), Xilinx FPGA, Altera FPGA
ARM Cortex-M0/M3 IP implementation, RISC-V Simple Processor design, ASIC/Semi-custom chip design and verification
Gem5 Architectural Simulation
Calculus, Engineering Mathematics, Digital Logic Circuit, Computer Architecture and Design, SoC Design, Electrical Circuit, Microelectronic Circuit, Semiconductor Physics, Fabrication Process, VLSI Design