Yu-Ting Kao
Taiwan Mandatory Military Service @ Republic of China Military Police (ROCMP)
United States
Washington DC-Baltimore Area
Computer Software
Verilog, C++, VHDL, Digital Signal Processing, Python, Field-Programmable Gate Arrays (FPGA), Machine Learning, VLSI CAD, MATLAB, Semiconductor Fabrication, Project Management
Experience

Research Assistant
Taipei, Taipei City, Taiwan
Worked with Prof. Hsiu-Chuan Hsu on Quantum Computing and Digital Annealing Algorithms: • Devised mathematical objective functions and constraints based on the Ising Model • Designed algorithms to convert the modularity index into a Hamiltonian matrix • Processed complex weighted power grid graph models • Composed research papers and presented on stage at 2023 National Computer Symposium Research Papers: • “Solving Combinatorial Optimization Problems on Fujitsu Digital Annealer” Published in 2023 National Computer Symposium Conference Proceedings https://nccur.lib.nccu.edu.tw/handle/140.119/148805 • “Graph Partitioning with Fujitsu Digital Annealer”

Student Observer
Taipei, Taipei City, Taiwan
• Took part in Prof. Yang-Yuan Chen's Infrared Sensing Research • Assisted with the thermal sputtering process of gold and chromium wafers • Tested the function of completed infrared sensor arrays • Presented research reports on thermoresistive micro-bridge structures.
Education

Electrical and Electronics Engineering
Coursework Highlights: •FPGA Synthesis Lab: Experience with VHDL, Xilinx Cmod A7-35T, and Basys 3. Developed a standalone Flappy Bird arcade console as a course final project. • CAD Design of Digital VLSI Systems: Experience with Verilog and ASIC development with Cadence. Designed a simple RISC processor as a course final project. • Advanced Topics in Microsystem Fabrication: Fabricated a flow cytometer microfluidic chip as a course final project. Hands on experience with chip manufacturing processes in a Class 1000 cleanroom. • Random Signal Analysis: Employed various filters to predict stock market prices as a course final project. Experience with Matlab, Adaptive Filters, and Kalman Filters. • Machine Learning for Signal Processing: Introductory coursework in Machine Learning Algorithms. Employed Diffusion Models in Python for medical image generation as a course final project.
Yu-Ting Kao's Contact Information
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