Electrical Engineering and Computing undergraduate at the National University of Singapore with research experience in computational electromagnetics, physics-informed machine learning, and high-performance scientific computing. Experienced in developing accelerated simulation algorithms, physics-guided computer-vision reconstruction systems, and embedded hardware platforms including FPGA and IoT systems. Strong background in mathematical modeling, numerical methods, and system-level engineering demonstrated through research assistant work and international modeling competitions.
Huijie Zheng
Bachelor of Engineering, Electrical Engineering | National University of Singapore
Summary
Education
National University of Singapore Bachelor of Engineering, Electrical Engineering Grade : 4.92/5 Aug 2024 - PresentSingapore
Experience
Research Assistant National University of Singapore Jul 2025 - Present • 8 mosPart-time |Singapore| Onsite
Developed electromagnetic scattering and imaging models using far-field approximations and Green’s-function formulations, enabling scalable inverse reconstruction experiments.
Designed accelerated numerical simulation pipelines (vectorized / GPU-enabled) that significantly reduced large-scale EM simulation runtime.
Built physics-informed computer-vision reconstruction frameworks integrating analytical EM operators with U-net inversion models for improved imaging stability under noisy measurements.
Conducted robustness and sensitivity studies across frequency and material parameters.
Preparing research manuscript and experimental benchmarks for ongoing publication work.
PyTorchMachine LearningPhysical Simulation
Certifications
- Mathematical Contest in Modeling(MCM) Meritorious Winner Consortium for Mathematics and its ApplicationsIssued May 2025 • No Expiration Date
- Chinese Physics Olympics National Second Prize Chinese Physics SocietyIssued Jan 2023 • No Expiration Date
- Tsinghua University TACA ranking 89 Tsinghua UniversityIssued Jan 2023 • No Expiration Date
- National Standardization Olympics 3rd Place Chinese Standardization SocietyIssued Jan 2022 • No Expiration Date
Skills
- Programming: Python, MATLAB, C/C++, Verilog, JavaExperienced
- Scientific Computing: Numerical PDEs, algorithmic acceleration, simulation pipelinesExpert
- Hardware: FPGA (Vivado), STM32, ESP32Experienced
- ML/CV: CNN, Physics-informed MLSkillfull
FPGA Hardware System
Designed FPGA-based digital systems in Verilog, including mouse communication interfaces and real-time processing modules.
Implemented hardware neural-network digit recognition and real-time expression parsing/validity-checking modules.
Built hardware graphics pipelines supporting geometric transformations and basic 3D rendering on embedded displays.
Embedded System Design
Designed multi-axis laser motion platform driven by synchronized timing belts
Implemented G-code execution on ESP32 using FluidNC with CNC shield motor control
Proposed extension toward low-cost PCB prototyping printer
Embedded IoT Sensing System
Developed an STM32-based multi-sensor interactive system enabling posture-based interaction and event-driven gameplay.
Implemented real-time sensor interfacing (I2C / SPI) and onboard data processing for interactive control logic.
Integrated Wi-Fi socket-based communication for real-time data streaming and computer-side visualization.