University of California San Diego, United States
Mingi Kwon is an aspiring computer engineer with a strong foundation in VLSI design, computer architecture, and hardware acceleration. 🎓 Currently pursuing an MS in Electrical and Computer Engineering at the University of California, San Diego, he previously earned his BS in Electrical Engineering from Hanyang University, South Korea. With a deep interest in optimizing hardware for AI acceleration, he has worked on advanced projects involving reconfigurable systolic arrays, low-power circuit design, and RISC-V processor architectures. His dedication to high-performance computing and low-power hardware systems is evident through his research contributions and hands-on experience with industry-standard tools. 🚀
Publication Profile
ORCID
🎓 Education:
Mingi Kwon is currently pursuing his Master of Science in Electrical and Computer Engineering at the University of California, San Diego (2024–2026), specializing in computer engineering. He completed his Bachelor of Science in Electrical Engineering from Hanyang University, South Korea (2019–2024), graduating with an impressive GPA of 3.97/4.5. 📚 His academic journey has been focused on advanced coursework, including computer architecture, low-power VLSI design, and deep learning accelerators, equipping him with a strong foundation in hardware and system design.
💼 Experience:
Mingi has gained significant hands-on experience through various projects and his military service. During his undergraduate studies, he developed a Cyclone IV GX-Based Reconfigurable 2D Systolic Array for AI Acceleration, optimizing power consumption and chip area. He also worked on a RISC-V 5-stage Pipeline Processor with an advanced branch predictor, significantly improving execution efficiency. 🔧 Additionally, he served as a cybersecurity specialist and squad leader in the Republic of Korea Army (2020–2022), where he managed encrypted communications and network security while leading a team of 20 soldiers, earning a Distinguished Service Award. 🏅
🏆 Awards and Honors:
Mingi’s excellence in academics and research has been recognized through multiple awards. He was named to the Dean’s List (2022) with a perfect GPA of 4.5/4.5. 🎖️ He also received the National Logic Chip Design Track Scholarship (2023–2024), awarded by the South Korean government for outstanding achievements in electrical engineering. His leadership and dedication in the military earned him a Distinguished Service Award (2021–2022) for enhancing work efficiency and team collaboration.
🔬 Research Focus:
Mingi’s research is centered around hardware acceleration for AI, low-power VLSI design, and computer architecture. 🖥️ His work on systolic arrays focuses on optimizing deep learning computations with reconfigurable architectures, improving efficiency in sparse neural networks. He has also explored low-power circuit design, reducing leakage power and optimizing combinational logic for improved energy efficiency. His expertise extends to processor architecture, particularly RISC-V pipeline design and branch prediction, enhancing execution speed and minimizing stalls.
🔚 Conclusion:
Mingi Kwon is a highly motivated researcher and engineer passionate about bridging the gap between hardware and AI acceleration. 🚀 With extensive experience in VLSI design, digital systems, and processor architecture, he is committed to advancing high-performance, energy-efficient computing systems. His technical expertise, research achievements, and leadership skills position him as a promising innovator in the field of computer engineering. 💡
📄 Publication:
Circuit-Centric Genetic Algorithm for the Optimization of a Radio-Frequency ReceiverElectronics