CV

Education

• B.S. in Electrical Engineering, University of Illinois at Urbana-Champaign, 2029 (expected)
  • Minor in Psychology
  • Minor in Semiconductor Engineering
  • GPA: 4.00 / 4.00

Honors and Awards

• James Scholar Honors — Fall 2025, Spring 2026, Fall 2026
• Dean’s List — Fall 2025, Spring 2026

Publications

Generalized Segmentation for Maxillary Sinus and Mandibular Canal in Dental Panoramic X-rays

*Kim, J.W., Bae, S. (2025). Generalized Segmentation for Maxillary Sinus and Mandibular Canal in Panoramic X-Rays. In: Del Bue, A., Canton, C., Pont-Tuset, J., Tommasi, T. (eds) Computer Vision – ECCV 2024 Workshops. ECCV 2024. Lecture Notes in Computer Science, vol 15638. Springer, Cham. https://doi.org/10.1007/978-3-031-91721-9_17*

Projects

• Electronic Pressure Piano (Sept 2025 – Dec 2025)
  • Designed and built a pressure-sensitive electronic piano using force-sensitive resistors (FSRs) for real-time volume modulation.
  • Implemented 21 analog sinusoidal tone generators (C3–B5) with op-amp oscillators and RC networks; verified frequency accuracy on an oscilloscope.
  • Developed hardware control logic for multi-key detection and FSM-based octave selection, routing signals through multiplexers.
  • Integrated an AD605 voltage gain amplifier to control output gain from the average pressure of the keys pressed.
• Dental Panoramic X-ray Segmentation (Sept 2023 – Oct 2024)
  • Built a deep-learning pipeline for dental panoramic X-ray segmentation with U-Net as the base model.
  • Integrated CBAM attention mechanisms to improve feature representation and segmentation performance.
  • Proposed a novel data augmentation and regularization strategy, expanding the dataset ~1200× to improve generalization on limited medical imaging data.
  • Published and presented at the ECCV 2024 BioImage Computing Workshop (DOI: 10.1007/978-3-031-91721-9_17); code at github.com/jaykim0413/seg-pano-extended.

Leadership and Activities

• Aug 2025 – Present: Electrical Team Member, RoboSub — iRobotics
  • Designed 2-layer band-pass filter PCBs to isolate four target frequency bands (25, 30, 35, 40 kHz) from amplified hydrophone signals, feeding an ADC front end to trigger operations.
  • Designed a 2-layer boost converter PCB stepping the battery’s 5 V up to 12 V at 2 A to drive an additional motor on the autonomous submarine.
• Aug 2025 – Present: Steering Wheel Board Member & Software Team Member, Illini Electric Motorsports
  • Designed the schematic and PCB layout for the steering wheel and dashboard boards; manufactured the steering wheel PCB and validated power delivery (rail stability, ripple, load response) on the bench.
  • Verified quadrature-encoder PWM signals (duty cycle, phase offset, signal integrity) and wrote steering-wheel firmware in embedded C on STM32, establishing CAN communication and encoder processing.

Skills

• Programming: Java, Python, C++, Embedded C, Rust
• ML / scientific computing: PyTorch, NumPy
• Hardware & EDA: KiCAD, Altium Designer
• Instrumentation: Keysight oscilloscopes, bench power supplies