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SUOYUE ZHAN

SUOYUE ZHAN

PhD, Electrical Engineering

Engineering / Architecture

Windsor, Ontario

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About SUOYUE ZHAN:

I've recently graduated from PhD program in electrical engineering and is looking forward to start my career.

My research area is digital integrated circuit reliability estimation and I am experienced in programming using C/C++, Matlab, python, R, etc. Meanwhile, I'm also familiar with AutoCAD, Magic (fabrication tool), PSPICE.

 

Experience

I've been working as a research assistant for 6.5 years in University of Windsor (Master+PhD). The focus of my research is reliability estimation for digital integrated circuit, device aging, and sequential circuit simulation convergence optimization. The years of research trainning granted me advanced programming skills using C/C++, Matlab, Python, R and fast self-learning capability.

Meanwhile, with more than 10 semesters of teaching assistant experience, I'm experienced in multiple softwares such as AutoCAD, Magic, Capture CIS.

Education

I've recently graduated from PhD program with 1 journal paper, 4 conference papers. With the guidance of my PhD mentor, we innovatively created a hybrid model, which is fast and accurate, for combinational circuit reliability estimation by combining numerical and analytical methods. With the help of regression anlaysis, we additionally improved the efficiency of sequential circuit simulation. 

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