Dr Sean Longyu Ma

Dr Sean Longyu Ma

(he/him)

Tenure-Track Assistant Professor

The University of Auckland

About

Sean Longyu Ma is a tenure-track faculty member in the School of Computer Science at the University of Auckland. His research focuses on FPGA-based computing, RISC-V customisation, high-level synthesis, and heterogeneous computing.

Education

PhD in Computer Science

The University of Auckland

Master of Integrated Circuit Engineering

Shanghai Jiao Tong University

Bachelor of Communication Engineering

Harbin Engineering University

Research Interests

FPGA acceleration RISC-V customisation High-level synthesis Heterogeneous computing
Research Interests
I design reconfigurable and customised computing systems that translate ambitious algorithms into efficient hardware. My current work spans FPGA acceleration, RISC-V processor customisation, high-level synthesis, and heterogeneous computing.
Selected Publications
Recent Updates

Co-Designed Physics-Informed Neural Network FPGA Accelerator for Battery Health Estimation

Physics-informed neural networks (PINNs) provide strong generalization for battery state-of-health (SOH) estimation, but their sine activations make aggressive low-bit quantization …

jianglan-zhu
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University of Auckland Open Day 2026: An Interactive LLM Demo cover image

University of Auckland Open Day 2026: An Interactive LLM Demo

An interactive GPU–FPGA LLM demonstration for prospective students at the University of Auckland Open Day.

A Market-Aligned Reinforcement Learning Framework for Financial Sentiment Analysis

Financial sentiment analysis(FSA) plays a critical role in algorithmic trading and market risk assessment. However, most existing approaches define sentiment purely through …

zhihang-liu
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A Theoretical Analysis of Migration Strength Selection in SmoothQuant

Post-training quantization (PTQ) is essential for efficient inference of large language models, yet remains challenging due to activation outliers with large magnitudes. …

zhihang-liu
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2026 IEEE International Symposium on Circuits and Systems cover image

2026 IEEE International Symposium on Circuits and Systems

Topic: Efficient FPGA Deployment of Power-of-Two Quantized Networks via Dynamic Hierarchical Base-Exponent Offset Encoding

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Dr Sean Longyu Ma
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Prospective Students
I welcome enquiries from prospective PhD and research master’s students with strong interests in FPGA/GPU systems, circuits and systems, machine learning acceleration, RISC-V, or cross-disciplinary hardware research. Please include your CV, academic transcript, and a short description of your research interests when contacting me.