Research & Projects Experiences

Research Experiences

• AI-Enhanced SNSPD-Based Cross-Correlation Spectral Flow Meter
  Supervisor: QINGYUAN ZHAO, Professor, NJU
  Sept 2024 - Present
  • Led a team of 4 members in developing a high-resolution blood flow meter based on SNSPD (Superconducting Nanowire Single-Photon Detectors) to enhance measurement precision in medical applications.
  • Designed and implemented an optical pathway using SNSPD to measure diffuse reflectance spectra of human tissue under 1064/1550 nm laser sources.
  • Developed regression algorithms (LSTM, least squares, and Nth-order linear models) to extract blood flow indices from the temporal optical field’s cross-correlation function.

 for more details:AI-Enhanced SNSPD-Based Cross-Correlation Spectral Flow Meter

• AI-Enhanced Plasmonic Gold-Silicon Schottky Junction Photodetector Design
  Supervisor: XIAOLI JI, Professor, NJU
  Sept 2024 - Jan 2025
  • Utilized machine learning algorithms to optimize the design of plasmonic photodetectors, improving quantum efficiency by selecting optimal structural parameters using neural networks and particle swarm optimization (PSO).
  • Generated a comprehensive dataset for FDTD simulations using Lumerical API, employing Python to automate the parameter generation and simulation process.
  • Built and trained MLP neural network models to predict absorption efficiency based on structural parameters, significantly reducing the design iteration time.

 for more details:AI-Enhanced Plasmonic Gold-Silicon Schottky Junction Photodetector Design
 codes:AI-Enhanced Plasmonic Gold-Silicon Schottky Junction Photodetector Design

• Temperature Control System Based on GM Cryocooler
  Supervisor: QINGYUAN ZHAO, Professor, NJU
  Mar 2024- Jun 2024
  • Designed and implemented an automated closed-loop temperature control system for superconducting quantum device testing, achieving precise control from 40K to 2.5K with 0.05K accuracy, surpassing the capabilities of commercial systems (e.g., Lakeshore Model 211).
  • Developed instrument control software using SCPI instructions and RS232/USB interfaces to automate the operation of multiple devices, including Keysight DP832, Lakeshore Model 211, and Keysight SourceMeter SM2450.
  • Utilized PID control combined with fuzzy logic and Kalman filtering to achieve precise temperature control and enhance system stability

 codes:Temperature Control System Based on GM Cryocooler