Education#

B.S. in Electronic Information Engineering, Zhejiang University

Honor#

2023	Third-Class Scholarship	Zhejiang University
2023, 2024	Academic Excellence Award	Zhejiang University
2022, 2024	Innovation Excellence Award	Zhejiang University

TOEFL	105
GRE	329

An implanted Sphenopalatine Ganglion stimulator powered and controlled by an inductively coupled coil pair. The device eases the symptoms of stroke by generating current pulses to the nerve tissue, so that the blood flow in the brain is recovered.
Responsible for circuit design and validation. Design a miniature implanted stimulator which receives power and control signal simultaneously from a single coil pair. The control signal is demodulated from the RF power carrier. Biphasic constant-current pulse is generated through a polarity recovering circuit and an amplifier with current feedback.
Proposed a novel constant-voltage wireless power transmission system, which suits the 13.56MHz ISM band and needs no upstream communication from the receiver. Independently finished the theoretical analysis, built the experiment platform and analyzed the experiment result. Attended the INGEP 2024 conference with poster presentation as the first author.
Collaborated with the R&D team of Zhejiang Qizhen Healthcare Tech Ltd.. Acquired 2 national patents.
Ran circuit-level simulation in PSpice and ADS, system-level simulation in Simulink. Designed PCBs by Altium Designer. Tuned the parasitic parameters by Ansys Maxwell.

Designed a 1kW bidirectional isolated DC/DC Converter, with 36~60V on the LV side and 400V on the HV side. The device achieves peak efficiency of 94% in experiment. GaN HEMT and planar transformer are used to improve power density, allowing for portable size with the thickness low as 25mm. Experiment shows that the converter is capable of driving 500W load with natural cooling at room temperature, or 1kW load with an extra 10W forced cooling.
Responsible for circuit design. Proposed a multistage topology combining a multi-winding CLLC converter and a synchronous buck/boost adjusting stage. Derived the steady-state model in MATLAB and tuned the component values. Selected the switching devices based on the result of the loss stimulations.
Independently designed the gate driver, isolated sampling circuit, auxiliary power supply and other subsystems. Implemented the system on a 6-layer PCB.
As the leader, attained the special prize (2nd place nationwide) with a team of four. Monitored the progress and organized experiments during competition. Participated in multiple replies. Finished report, poster, video, etc.

Designed a smart stethoscope for early scan of congenital cardiac diseases. The device is powered by battery and communicates via Bluetooth. The electrocardiogram (ECG) and the sound of the heart are sampled simultaneously and are transmitted to the upper device, which uses a pre-trained ML model to detect the indications of cardiac diseases.
Responsible for hardware design. Designed a heart sound detector using microphone and OPAMP, an ECG detector using AD8232 signal conditioning block, a Li-ion battery managing circuit and the peripheral circuits of an ESP32 SoC. Drew a 4-layer round PCB with diameter of 30mm.
Participated in the development of embedded software. Designed a 16-order digital Butterworth notch filter and implemented on ESP32.
Won the first prize of the 7th National Biomedical Engineering Competition in China with a team of three.

Elected as the director of software department. Responsible for crew training, including Arduino programming and basic principles of 8-bit AVR MCUs.

Host regular seminars where team members share technical updates.
Responsible of crew training, including circuit design and embedded software development.