Welcome to Cui Hongjian's Page (崔鸿渐)

MARVELL

Staff Design Verification Engineer

Making test plan for Automotive Ethernet Switch(DUT). Programming using UVM (System Verilog, an Object Oriented Programming language) to achieve functional verification and code coverage tests for PMU, EEPROM, Functional Safety, ASIC and Preemption with TSN PTP.

National University of Singapore

PHD student and Graduate Assistant

Theoretically analyzing and designing RF circuits based on advanced physcial or mathematical idea such as PT-symmetry. Using MATLAB, LT-Spice and ADS for equations analyzing and simulation. Designing wireless wearable integrated circuit PCB with Altium. Writing code to send, receive and process data with Arduino, STM32, ESP32, Python and MATLAB. Analyzing data from sensor using Excel, Python, and MATLAB. Also using designing or simulation tools such as Adobe Illustrator, Solidworks, AutoCAD, and CST for mechanical components design. Fabricating microfluidic devices using MEMS in cleanroom. Teaching RF lab with communication techniques and engineering thermal dynamics as graduate assistant.

Paper Published: Wireless Actuator based on PT-symmetry electronics

Paper Published: High-Efficiency Selective Wireless Power Transfer with a Bistable Parity-Time-Symmetric Circuit

Applied Materials

Internship as Process Engineer

Researching of dry etch recipe parameters (SF¬¬6, CF4, bias power, RF power, duty cycle...). Changing recipe’s parameters after inspecting to fit the customers’ requirement.

Envilink, Enterprise company at Hangar, NUS

Mechanical Engineer

Coding for environmental sensors, designing sensor box with CAD tools and making 3d printing.

Harbin Shangwei pte ltd

Mechanical Engineer

Testing the performance of the new developed patented cranes brake circuits (Electromagnet). Doing research about the raw materials about industrial glues, testing the performance of industrial glues and finding solutions of manufacturing and selling final products. Doing Soildering work.

Naitonal University of Singapore

Course Projects

Neural Networks > ME5404/EE5904:
Assignments and projects: Gradient descent method to find global minimum; Multilayer perceptron, RBFN and SOM to approximate function, classify glasses wearing recognition and MNIST; SVM for junk email classification; Q-learning for world grid navigation.
Machine Vision > ME5405:
Algorithm for pattern separation, thinning, rotating using Matlab.
Final Year Project:
Thermal simulation for satellite in space and do research about coating and stability for electrical components.
Design Project:
Designing optical fiber sensors and codes for minitoring railway conditions.