Rust Systems Engineer & Researcher

I build memory-safe systems.I write Rust that runs fast.I turn engineering into research.

Suyu Jiang (Jerry Su) — Rust Systems Engineer & Researcher

I build memory-safe, high-performance Rust systems — web frameworks, robotics simulators, and adaptive learning platforms — and turn that engineering into peer-reviewed research.

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[email protected]GitHubHong Kong

Publications

Patents (CNIPA)

Active Projects

Best Paper Award

Engineering

Featured Projects

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Author & Lead2025 – present

Hotaru Web Framework

A full-stack Rust web framework with a macro-based "endpoint in one place" DSL that keeps URL, middleware, config, and handler together. Architected for multi-protocol services (HTTP/HTTPS, WebSocket, MQTT, and custom TCP) with shared state and a unified routing/handler style.

RustWeb FrameworkMacrosMulti-protocol

Engineer & Mentor2025 – present

Hair Cutting Robot (HCR)

A Rust-based simulator and digital twin for a remote collaborative haircutting robot platform, with sandbox-based safety validation. Contributed to a dual-track Desktop/Web architecture sharing behavioral contracts across simulator and real-robot execution.

RustRoboticsDigital TwinMQTT

Author & Lead2025 – present

Arona — Computerized Adaptive Testing Framework

A computerized adaptive testing (CAT) framework emphasizing zero-cost abstractions while supporting runtime-pluggable IRT models. Built with dynamic trait objects to enable model and algorithm swapping without compile-time coupling. The framework underpins the IEEE ICCSP 2026 Best Paper on Smart Education Systems.

RustPsychometricsIRTTrait Objects

Scholarship

Featured Publication

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2026

conference

Award · Best Paper on Smart Education Systems

High Performance Adaptive Learning & Testing System with Safe Dynamic Plugin System

Haozhe Ruan, Sihui Li, Jingwen Guo, Yiyi Wang, Suyu Jiang, Aquil Mirza Mohammed

2026 12th International Conference on Communication and Signal Processing (ICCSP) · Smart Education Systems

Conference paper on a high-performance adaptive learning and testing system with a safe dynamic plugin architecture. The work emphasizes extensibility, runtime safety, and Rust-oriented implementation choices including generic programming and metaprogramming.

RustGeneric programmingMeta programmingLearning systems

About

About Me

Rust-focused software engineer and researcher specializing in high-performance systems, async programming, web frameworks, robotics simulation, and adaptive learning technologies. I build type-safe, extensible software architectures, lead research-oriented projects, mentor student teams, and contribute to publications across software engineering, AI, healthcare, and education technology.

Currently pursuing an MSc in Information Technology Management at The Hong Kong Baptist University while finishing a BEng in Computer Science at Hubei University of Arts and Science. Active in Field of Dream Studio (FDS) and the Pmine research group.

Across the web

Focus

Research Themes

Rust systems programming
Multi-protocol web frameworks
Robotics simulation & digital twins
Computerized adaptive testing
Domain-specific language design
Memory-safe clinical AI
AI code generation evaluation