About Me
Engineering Excellence with a Passion for Innovation
Who am I?
Hi, I'm Vincent, a graduate student at National Taiwan University specializing in Computer Aided Engineering with a primary focus on AI and Deep Learning for acoustic metamaterials design. My research has led to a published paper demonstrating how neural networks can revolutionize metamaterial engineering. Through this work, I've developed expertise in model performance evaluation, data visualization, and advanced analytics, enabling me to extract meaningful insights from complex datasets. My strong foundation in Data Science complements my engineering background, allowing me to approach problems from both analytical and computational perspectives. I'm skilled in developing predictive models and implementing statistical analysis techniques to drive data-informed decisions. Beyond my academic focus, I'm passionate about Web Development and Web3 technologies. I've built this website using Node.js and am currently exploring Smart contract programming with Solidity. My goal is to bridge cutting-edge AI research with practical digital solutions, always eager to innovate at the intersection of emerging technologies.
Projects
2024 GenAI Stars Hackathon
Feb 2024 - Jul 2024- Audio Processing Pipeline: Implemented OpenAI's Whisper model to generate time-stamped transcriptions, then applied semantic filtering via OpenAI API to remove non-competitive segments.
- Signal Analysis: Engineered a frequency-domain processing system using Fourier transforms and Butterworth filters to isolate commentator and crowd reactions.
- Highlight Detection Algorithm: Created a frequency-domain peak detection system to identify potential highlight moments based on audience and commentator audio patterns.
- Content Analysis: Utilized OpenAI's vision capabilities to generate contextual descriptions of highlight frames.
Eyes on the Water (CAE Seminar - Hackathon)
Feb 2023 - Jul 2023University Course Hackathon
- Computer Vision Integration: Engineered the core vision analysis component by implementing and optimizing OpenAI's image recognition API.
- Prompt Engineering: Designed specialized prompts for the vision model to accurately distinguish between natural elements and pollution/debris.
- Highlight Detection Algorithm: Created a time-domain peak detection system to identify potential highlight moments.
- Structured Output System: Developed a standardized response framework for environmental monitoring databases.
Experience
Computer Technician
Sep 2020 - PresentComputer and Information Networking Center(NTU) · Part-time
- Assisted in web development, enhancing both front-end user interfaces and back-end functionalities.
- Provided critical technical support for remote educational classes and activities.
- Conducted comprehensive hardware maintenance, optimizing computing resources.
- Edited engaging video content for academic and promotional purposes.
Civil Engineering Intern
Jul 2022 - Aug 2022REIJU Construction Co., Ltd. · Internship
- Contributed to the preparation of engineering documents, including clarifications, drawings, and contract pricing.
- Employed AutoCAD to update and refine construction plans, enhancing project clarity.
- Performed meticulous on-site inspections of structural elements such as rebar and waterproofing materials.
- Verified the mechanical properties of construction materials, such as rebar tensile strength and bending resistance.
Teaching Assistant
Feb 2022 - Jun 2022National Taiwan University · Part-time
- Decided the grading scheme for model assignments and evaluations.
- Conducted comprehensive model testing to ensure accuracy and functionality.
- Assisted with preparation before class, including setting up equipment and organizing materials.
Education
Master of Engineering - MEng, Computer Aided Engineering
Aug 2023 - PresentNational Taiwan University
- Specializing in the integration of Al with acoustic metamaterials to innovate tailored applications.
- Employing FEM(COMSOL) to build and simulate metamaterials model, generating novel data.
- Developed multiple machine learning models, including SVR, RFR, XGB, KNN.
- Developed a deep learning model from scratch. Familiar with PyTorch and Keras.
- Studying generative AI technologies, including GANs, VAE and Transformers.
- Contributing to academic research, co-authoring papers with faculty and doctoral students.
Bachelor of Engineering - BE, Civil Engineering
Sep 2019 - Jul 2023National Taiwan University
- Acquired a solid foundation in engineering principles, emphasizing a problem-solving mindset.
- Participated in practical projects and coursework that laid the groundwork for advanced studies in computer-aided engineering.