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・Built and modularized an image processing model with OpenCV to enhance image features
・Worked on tuning image quality by morphological operations and increased visibility by 50%
・Implemented on practical noisy low-light images; customized special effects according to mouse click and drag

A WEDS for Power Decentralized Electric Vehicles

以腹腔充氣後模型為基礎進行微創手術術前規劃

Image Quantization for Robotic Path Optimization

A Morphology Model for Low-light Image Enhancement

Hello, I am Felicia, an Electrical Engineering graduate at National Taiwan University. I deeply believe that science and technology can enhance and enrich everyone's life - which is why I spend my days cooperating with various teams to resolve real-world problems. With two years tutoring experience, I'm good at establishing relationship with others and often play a role of coordinator in the team.

During my master's degree, I collaborated with surgery teams in National Taiwan University Hospital for the project of the Ministry of Science and Technology (MOST). I built a data-driven architecture and trained regression-based model with Scikit-Learn, which reduced 70% prediction error for surgical requirements. In addition, I participated in the research of intelligent electric vehicle systems during the university. Our team successfully found the correlation between steering stability and specific physical parameters, and was invited to the Society of Instrument and Control Engineers (SICE) Annual Conference to give oral presentation in Japan.

Contributing to the society with professional ability is a very fulfilling thing for me! I believe that with this enthusiasm, the core value of technology can be conveyed to users through products. I look forward to co-work with top teams to explore unlimited potential together.


A Morphology Model for Low-light Image Enhancement

A Morphology Model for Low-light Image Enhancement

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