Profile
About
An undergraduate electrical engineering researcher focused on radar, vision AI, sensor fusion, and embedded signal processing, with FPGA RTL and digital verification as a secondary track.
- Education
- B.S. Candidate in Electrical and Electronic Engineering, Dankook University
- Research affiliation
- Human & Systems Laboratory, Undergraduate Research Intern
- Expected graduation
- February 25, 2027
- Available from
- January 2027
- CES 2027
- Planned ViScan booth operation and live demonstration
- CES Innovation Awards
- ViScan CES Innovation Awards submission in preparation · public details planned
- hnryu0515@gmail.com
- Public profile
- Primary focus
- Radar · Vision AI · Sensor Fusion · Embedded Signal Processing
- Secondary focus
- FPGA RTL · Digital Verification
Research experience
At the Human & Systems Laboratory, I worked on concurrent ECG, SCG, and FMCW radar acquisition and aligned cardiac-cycle waveforms. The setup used a BGT60TR13C radar, STM32F411, and ESP-32S/MPU6050 reference paths. In Python, I compared radar phase with AO and AC candidate timing around ECG R-peaks.
Vision AI and sensor fusion
For the ViScan smart mirror, I integrated camera and FMCW radar inputs into a pipeline covering presence detection, face sessions, pose-based AR guidance, and rPPG. I used YuNet/SFace face recognition and MediaPipe Pose, combined low-light, occlusion, and multi-person checks with BGT60TR13C presence and distance information, and defined state-transition conditions for each sensing stage. I plan to participate in ViScan booth operation and live demonstrations at CES 2027. The team is also preparing a ViScan submission for the CES Innovation Awards, and additional product and submission details will be added to the portfolio when they are ready for public release.
Design and verification work
I wrote combinational, sequential, and parameterized RTL in VHDL and SystemVerilog. My testbenches separate drivers, checkers, and reference models, then compare input vectors against DUT outputs. I used Icarus, GHDL, Quartus, and ModelSim/Questa.
I also built PADS schematics and footprints and reviewed microstrip, Wilkinson divider, and branch-line hybrid S-parameters in Cadence. My coursework includes control, motor drives, power electronics, and electrical machines.
Career direction
I am preparing primarily for radar signal processing, vision AI, sensor fusion, and embedded acquisition roles, with FPGA RTL and digital verification as a second track. I expect to graduate in February 2027 and can start work in January 2027.