CV
Education
- M.Eng. in Integrated Circuits, Southeast University, 2028 (expected)
- B.S. in Electronic Science and Technology, Southeast University, 2025
Research experience
- Research on Semantic Segmentation Algorithms for UAV Perspectives
- Undergraduate Thesis Project, Dec. 2024 - Jun. 2025
- Model Optimization: Applied transfer learning to optimize a semantic segmentation model based on UAV imagery for natural disaster damage recognition.
- Scenario Adaptation: Specifically optimized the model for the top-down perspective of UAVs and resource-constrained (low-computing-power) scenarios.
- Architecture Adjustment: Modified the convolutional layer architecture to significantly reduce computational overhead.
- Structure Refactoring: Refactored the computation structure of deconvolutional and normalization layers, further reducing computational load while enhancing recognition accuracy.
- Performance Improvement: Implemented a bounding box approach to improve the overall recognition rate of the model.
- Advisor: Prof. Meng Zhang
- Project: Design and Development of a Miniature Raman Spectrometer
- Embedded Software: Developed driver software and function selection routines for the miniature Raman spectrometer.
- Optical System: Constructed both direct and reflective measurement optical paths for the system.
- System Integration: Integrated hardware and software components to enable versatile measurement capabilities.
Honors and Awards
- 2025 Taihu Scholarship (Third Prize)
- 2024 University Merit Student, Southeast University
- 2024 “Star Volunteer”, Wu Jianxiong College, Southeast University
- 2023 National College Student Physics Experiment Competition (National Second Prize)
Skills
- Hardware Description & Programming
- HDL: Verilog
- Languages: Python, C/C++, Tcl
- Digital IC Design
- Simulation: Mentor Graphics ModelSim, HSpice
- Synthesis & Timing: Synopsys Design Compiler, PrimeTime
- Implementation: Cadence Innovus
- FPGA Development
