Seungjae (Brian) Moon
About Seungjae (Brian) Moon
Seungjae (Brian) Moon is a researcher currently working at KAIST in Daejeon, South Korea, with a background in Electrical and Computer Engineering from the University of Washington. His research focuses on machine learning integration with embedded systems and the Internet of Things (IoT).
Current Role at KAIST
Seungjae Moon has been working as a researcher at KAIST since 2020. His role involves advanced research in the field of electrical and computer engineering, focusing on integrating machine learning with embedded systems. He is based in Daejeon, South Korea, where he contributes to various projects aimed at enhancing digital device performance and interaction.
Previous Research Experience
Prior to his current position, Seungjae Moon worked as a research assistant at the Ubiquitous Computing Lab from 2019 to 2020. His responsibilities included conducting research related to the Internet of Things (IoT), with a specific focus on firmware and human-computer interaction. He also worked at the Sensors, Energy, and Automation Laboratory (SEAL) for four months in 2019.
Educational Background
Seungjae Moon earned a Bachelor of Science in Electrical and Computer Engineering from the University of Washington, completing his studies from 2016 to 2020. During his time at the university, he gained foundational knowledge and skills that have supported his research and professional endeavors.
Technical Projects and Contributions
Seungjae Moon has designed a multi-FPGA hardware accelerator for natural language processing algorithms such as GPT-2 and BERT. He utilized Xilinx Vivado and the U280 Datacenter Accelerator Card for this project. Additionally, he has conducted verification for Vector and Systolic Array processors to support specific CNN computations and assisted in the development of AeroSpec devices aimed at evaluating worker safety.
Skills and Interests
Seungjae Moon has programming experience in RTL and hardware simulation, focusing on adaptive block floating point and its ALU, adder trees, and special function units. He has also completed side programming projects that apply machine learning concepts, including reinforcement learning. Outside of his professional work, he enjoys participating in team sports and group hikes, which have fostered effective communication and a goal-oriented mindset.