Yingxu Wang
Summary
Dynamic engineer with a rich background in PSCAD Modelling and Machine Learning, demonstrated through impactful projects at the University of Jilin and innovative research in wireless communication. Excelled in applying Python and MATLAB to solve complex problems, showcasing strong analytical skills and a knack for simplifying intricate concepts for diverse audiences.
Overview
3
3
years of professional experience
Work History
PSCAD Modelling- Subsynchronous Resonance
09.2023 - 01.2024
- Keywords: Subsynchronous resonance(SSR), NGH Scheme, Thyristor controlled series capacitor(TCSC)
- Mitigation method: System switching, NGH-Scheme method
- PSCAD Modelling for system switching method and NGH-Scheme Method
- Study of IEEE First Benchmark case and reestablish PSCAD model
Teaching Assistant
University Of Jilin, Laboratory Of PLC Design
06.2021 - 09.2021
- Assisted teachers with classroom management and document coordination to maintain positive learning environment.
- Giving lectures to students when professor absences
- Supported classroom activities, tutoring, and reviewing work.
- Project design of traffic lights, design of intelligent water tank
Research Project- Wireless Communication
01.2024 - 04.2024
- Analysis of basic OFDM system, using AWGN channel, Modulation, demodulation, IFFT & FFT
- design considerations and tradeoffs: maximizing bit rate & minimizing mean squared error
Course Project - Machine Learning
01.2024 - 04.2024
- Technique involved: Classification & Regression : Random Forest, decision tree and linear regression. Neural Network: MLP- Multilayer Perceptron
- During pre-processing phase, using one hot encoding to delete redundant columns and applying drop-first to further process data
- Using confusion matrix to evaluate the performance of model, Out-of-Bag score to estimate the overall score in Random Forest
- Using MLPs to supervise learning tasks, including classification and regression. The network learns to adjust the weights of connections between nodes in order to minimize a chosen loss function, such as mean squared error for regression
Course Project - Kalman Filter
01.2024 - 05.2024
- Filtering Method and applications, study structure of Kalman filter: Prediction and Update phase and using MATLAB to simulate the filter
- Design of Kalman filtering application: Positioning algorithm using Kalman Filter and Estimation of temperature
- Implementing algorithm by an adaptive covariance of the observation model. An approach to improve the adaptive noise covariance model by applying a weighted average computation and set the noise covariance value at a reasonable range. Introducing 'weights' for an exponentially decaying emphasis on the most recent errrors and avoid extreme values.
Education
Master of Electrical And Computer Engineering - Communication And Signal, Power, Power Electronics
University of Western Ontario
London, ON09.2024
Bachelor in Electrical Engineering - Electrical Engineering
McMaster University
Hamilton, ON05.2023
Skills
- PSCAD Modelling
- Python, MATLAB, Microsoft Apps
- Machine Learning and Deep learning
- PLC
- Wireless Communication, protocols and networks, adaptive filtering
Timeline
Research Project- Wireless Communication
01.2024 - 04.2024
Course Project - Machine Learning
01.2024 - 04.2024
Course Project - Kalman Filter
01.2024 - 05.2024
PSCAD Modelling- Subsynchronous Resonance
09.2023 - 01.2024
Teaching Assistant
University Of Jilin, Laboratory Of PLC Design
06.2021 - 09.2021
Master of Electrical And Computer Engineering - Communication And Signal, Power, Power Electronics
University of Western Ontario
Bachelor in Electrical Engineering - Electrical Engineering
McMaster University
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