About Me
I am a Ph.D. student in Electrical and Computer Engineering at Purdue University, advised by Dr. Yung-Hsiang Lu. My research focuses on AI-driven solutions, including music performance error detection and generative models.
Feel free to reach out via email or connect with me on LinkedIn or GitHub.
Education
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Purdue University - Ph.D. in Electrical and Computer Engineering (Jan 2024 - Present)
- GPA: 4.0/4.0; Received Semester Honors.
- Courses: Machine Learning for Cloud Computing, Deep Learning Optimization, Reinforcement Learning.
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National Cheng Kung University - B.Sc. in Electrical Engineering (Sep 2020 - May 2023)
- Graduated with a GPA of 4.0/4.3.
- Class President for three years.
Experience
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Graduate Research Assistant - Purdue University (Jan 2024 - Present)
- Designed an AI tutoring model for music performance error detection, improving F1 score by 2-6x over baseline.
- Developed synthetic datasets of music performances for model training.
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Startup Founder - LocaLens (Mar 2023 - Jan 2024)
- Developed a mobile app for menu translation, allergen detection, and currency conversion.
- Launched an MVP within four months.
News
- Dec 2024: Our paper "Detecting Music Performance Errors with Transformers" was accepted at AAAI 2025.
- July 2024: Invited keynote speaker at Artificial Intelligence for Music Workshop, ICME 2025.
- Jan 2024: Started the Purdue Ph.D. program in Electrical and Computer Engineering.
Academic Services
- Organizer: Artificial Intelligence for Music Workshop, AAAI 2025 and IEEE ICME 2025.
- Meta Reviewer: AAAI 2025 Workshop on Artificial Intelligence for Music (Reviewed 25 papers).
Publications
Contact
- Email: ben2002chou@gmail.com
- GitHub: github.com/ben2002chou
- LinkedIn: linkedin.com/in/benjamin-chou-6aa058228