Hi, I'm Cheng-Hsiu (Alan) Hsieh 👋

I am an M.S. student in Electrical & Computer Engineering at the University of California, Los Angeles (UCLA), previously graduating from National Taiwan University (NTU) with a B.S. in Electrical Engineering.

My expertise spans Software Engineering, Electronic Design Automation (EDA), and AI/ML. I am passionate about building high-performance systems, accelerating algorithms with GPUs, and solving complex architecture challenges.

Education

University of California, Los Angeles (UCLA)Sep 2025 - Jun 2027

M.S. in Electrical & Computer Engineering (GPA: 4.0/4.0)

Coursework: Embedded Systems, VLSI Design Automation, Neural Networks and Deep Learning, Large-Scale Data Mining

National Taiwan University (NTU)Sep 2020 - Jan 2025

B.S. in Electrical Engineering (Last 60 GPA: 4.3/4.3 | Top 1 out of 262)

Honors: NTU President Award, Dean's List Award (3 times)

Publications

Mixed-Size 3D Analytical Placement with Heterogeneous Technology NodesY.-J. Chen, C.-H. Hsieh, P.-H. Su, S.-H. Chen, and Y.-W. Chang.
In ACM/IEEE Design Automation Conference (DAC) 2024
Dynamic-SUPERB Phase-2: A Collaboratively Expanding Benchmark for Measuring the Capabilities of Spoken Language Models with 180 TasksC.-Y. Huang et al., including C.-H. Hsieh and H.-Y. Lee.
In International Conference on Learning Representations (ICLR) 2024

Selected Awards & Honors

Global 1st Place, IEEE/ACM CAD Contest at ICCAD (Nov 2023)
Global 2nd Place, ACM/SIGDA CADathlon at ICCAD - Olympic Games of EDA (Oct 2023)
Enterprise Prize 1st Place, Best Creativity, Most Popular Awards at MakeNTU - Taiwan's Largest Hackathon (May 2021)
Top Recipient, H. C. Lin Memorial Scholarship - Taiwan's Most Prestigious Scholarship (Dec 2023)
Finalist & Golden Level, WorldQuant BRAIN Alphathon (Sep 2023)
College Student Research Scholarship (2 times) & Creativity Award, National Science Council

Teaching & Leadership

Teaching Assistant, Introduction to Generative AI (Spring 2024)

Advisor: Prof. Hung-Yi Lee. Managed homework design, student consultations, and lectures for a course with 3,000+ students.

Teaching Assistant, Algorithms (Spring 2023)

Advisor: Prof. Iris Hui-Ru Jiang. Hosted weekly office hours, provided coding mentorship, and co-designed exams.

President, Student Dormitory Committee (Aug 2022 - Jul 2024)

Addressed concerns for 500+ residents and coordinated with university administration, achieving highest evaluation scores.

Academic Officer, NTU FinTech Club (Sep 2023 - Present)

Coached members in quantitative trading strategies, guiding the team to 1st place in an intercollegiate competition.

Technical Skills

Programming Languages

Python, C/C++, JavaScript/TypeScript, Java, CUDA, Golang, C#, Swift, SQL, Shell, Verilog, TCL, Perl

AI / Machine Learning

PyTorch, TensorFlow, scikit-learn, Keras, OpenCV, Hugging Face, NumPy, Pandas, Matplotlib

Web Development

React, Next.js, Node.js, Express, Flask, HTML/CSS, Tailwind CSS, PostgreSQL, MongoDB, Redis, Flutter, Prisma

Cloud & DevOps

Docker, Kubernetes, GCP, AWS, Azure, Git, Gerrit, Linux

VLSI & Hardware

Synopsys (Design Compiler, PrimeTime, ICC2, Fusion Compiler), Cadence (Innovus, Virtuoso), FreeRTOS, Yocto/Bitbake, MCUs

Tools & Frameworks

CMake, Meson, Ninja, OpenMP, Systemd, D-Bus, REST APIs

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