Learning is a tiring job. We should adapt to local conditions and strive for excellence
学习是一门技术活,因地制宜,精益求精
Total Scholarships Earned
$45,037.674
Dean’s Superior Scholarship
Fall2024
Dean’s Superior Scholarship
Fall2024
Dean’s Superior Scholarship
Fall2023
Dean’s Superior Scholarship
Spring2023
Dean’s Superior Scholarship
Fall2022
GZHU University
Second Class Scholarship
16th Programming Competition Excellent Award 2020Fall
English Test for International Communication
CIIA National College Student Career Development Competition
Alibaba Cloud Certification
$10,000 Annual Dean Scholarship
$10,000 Cornell Scholarship
Projects and Designs
IrrigaTron – Senior Design Self-driving Plant watering robot
(Motion & Watering)
A household plant-watering robot; I owned low-level motion control and the watering mechanism on Teensy 4.0.
Tech: Teensy 4.0 (Arduino/C), wheel encoders, 4× Mecanum, per-wheel PID, PWM motor driver (12 V, TB4223), stepper lift (A4988), simple digital on/off line for pump
My scope (essentials)
- Implemented per-wheel PID velocity control with encoder feedback; PWM into a 12 V motor driver.
- Practical, observation-based tuning (team effort) to get smooth, fast target-speed tracking on carpet vs. smooth floors.
- Built the A4988 stepper lift from Teensy STEP/DIR for adjustable sprayer height.
- Provided a simple on/off control line for the pump; external driver / Raspberry Pi wiring were teammate-owned.
Wiring & bring-up
- Separated 12 V / 5 V / GND rails; color-coded leads bundled in tidy runs with right-angle turns to each breadboard pin; verified connections with DMM continuity before power-on.
Materials
- Demo video, Poster, Wiring photo, Notes, Code repo: Repo (coming soon)
Segway – Self-Balancing Car (Balance Control)
Two-wheel self-balancing car built by a 3-person team; we co-designed the idea, firmware, and mechanical assembly. I acted as the team lead (planning, building, testing sessions, taking notes)
Tech: ItsyBitsy M4 (Arduino/C), BNO055 IMU, TB4223 (12 V) motor driver, dual DC motors, PWM/DIR, LED calibration cues
How it works
- Read BNO055 gravity-X as the tilt signal: forward tilt → positive, backward → negative; magnitude grows with tilt.
- Run a PID loop on the ItsyBitsy M4 that maps tilt/tilt-rate to PWM/DIR outputs.
- Drive the wheels through the TB4223 H-bridge so motion counters the tilt and brings gravity-X → 0.
Calibration & indicators
- BNO055 calibration required (🟦Gyro / 🟨Accel / 🟩Mag)
- Itsybitsy M4, connecting with BNO055, output LED pins signal indicate each sensor’s calibration status, (simple if checks in the loop): all LEDs on ⇒ ready to balance
Materials
- Demo video, Photos, Notes, Code repo (coming soon)
Transcripts
GZHU Univ Official Transcript
WES Transcript of GZHU Univ
Syracuse Univ Official Transcript