Electrical Python

C HENHUI Y ANG

216-***-**** ******@********.*** https://www.linkedin.com/in/yang-chenhui-02986419b/ E DUCATION

Case Western Reserve University, Cleveland, OH, USA Major : Electrical Engineering (B.S) Depth: Robotics, Semiconductors 09/2014-08/2018

Columbia University, New York, NY, USA

Major : Material Science and Engineering (M.S)

09/2018-05/2020

P ROFESSIONAL S KILLS

● 5 years of experience in semiconductors research and 4 years in polymers research.

● 4 years of experience in statistical data analysis, image process algorithms and probabilistic models.

● 5 years of experience in materials characterization: SEM, XRD, EDX, AFM, FTIR, optical microscopes and etc.

● 3 years of experience in device manufacture, specialized in thin film deposition (sputter, e-beam and CVD).

● 4 years of experience in C++, python, Matlab, Labview and Abaqus, experienced with Linux OS and ROS.

● 3 years of experience in laboratory maintenance and management.

● 3 years of experience working in glove boxes,clean rooms.

● 3 years of experience in waste disposal and hazardous materials handling.

● 1 year of experience in finite element analysis. R ESEARCH E XPERIENCES /S TUDENT C OMPETITIONS

Phase Change Materials for Energy Storage (Columbia University, Supervisor: Huiming Yin)

• Developed photo cross linking process to build a polymer matrix.

• Developed a recipe to transform animal fat into thermal storage agents and biofuels.

• Developed experiments and test procedures.

Modeling High-Performance Wood Composite (Columbia University, Supervisor: Huiming Yin)

• Performed stress tests and recorded the process.

• Applied image process to analyze displacement-strain relation in python and Abaqus.

• Optimized the composite composition for mechanical performance.

• Predicted deformation using micromechanics and finite element analysis. Solar Window with Passive Cooling Coating (Columbia University, Supervisor: Huiming Yin)

• Used python for statistical analysis and image processing to estimate porosity.

• Used Abaqus to run finite element analysis for elasticity.

• Performed electrical characterization on SiC cells for I-V and C-V profile.

• Used arduino to build a smart controller to optimize cell and battery performance and to collect performance data.

• Presented results at EHIOS conference and won second place. Elasticity of MgSiO 3 perovskite (Columbia University, Supervisor: Renata Wentzcovitch)

• Wrote shell scripts to run phonon calculation using supercomputers.

• Optimized the composition of phases.

Full time Research Assistant (CWRU MORE Center, Supervisor: Ina Martin)

• Managed laboratory projects, purchases and provided training for external partners.

• Fabricated devices using PVD, CVD and spin coating.

• Performed electrical characterizations on devices like LED, solar cells, FETs and etc .

• Used labview to collect device data and used python and R for statistical analysis. Bayesian Robotic Sentry (CWRU Robotics Lab, Supervisor: Wyatt Newman)

• Used rviz to collect robot driving data for statistical analysis.

• Implemented Bayesian models in C++ and python to improve automation performance. 05/2020-Current

01/2020-05/2020

09/2019-12/2019

01/2019-09/2019

08/2017-06/2018

06/2017-06/2018

Thin film Lead-free Perovskite Solar Cells (CWRU MORE Center, Supervisor: Ina Martin) 05/2017-06/2018 Won think[box] Student Project Fund Award: $2134 .

• Designed and fabricated thin film perovskite solar cell using evaporative, sputter and e-beam deposition.

• Performed materials characterization using optical profilometer, optical microscope, SEM, XRD and FTIR.

• Performed electrical characterizations such as hall effects, I-V & C-V profiling on the micro devices.

• Developed and optimized recipes for materials formulation and devices manufacture.

• Led a team across physics, electrical engineering and material science. P UBLICATION

K. A. Montiel, C. Yang, C. H. Andreasen, M. S. Gottlieb, M. R. Pfefferkorn, L. G. Wilson, J. L. W. Carter, and I. T. Martin, “Lead-free perovskite thin film solar cells from binary sources,” 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC), 2019. doi: 10.1109/PVSC40753.2019.8980512

Contact this candidate