Xiangyu SHI

Research Assistant @ Zhejiang University

About

I am a 2nd-year Ph.D. candidate in Computer Engineering at Northwestern University (NU) starting in Fall 2024, advised by Prof. Qi Zhu. Prior to Northwestern, I obtained my B.E. in Smart Energy from Zhejiang University (ZJU) in July 2024. I am currently seeking research internships for Summer 2026, with a focus on foundation models (including LLMs and VLMs) for embodied agents and interactive systems. Feel free to reach out if there is a potential fit.

Country

United States

City

Chicago

Industry

Computer Software

Skill

GenAI, Embodied Agent, PyTorch, computer vision, IoT, Flask, Large Language Models (LLM), Langchain, Python, MATLAB, LaTeX, Experimental design, Programming(Python, C, Java), Machine learning, 3D generation

Experience

Research Assistant

Zhejiang University

2021-9 - 2023-5 · 1 yr 9 mos

Hangzhou, Zhejiang, China

- Developed a data-driven blast furnace fault detection method using PCA-based algorithm. Minimized the false alarm rate by Convex Hull for the confidence region and Moving Window to update dynamic data. Conducted theoretical analysis and used a genetic algorithm to optimize parameters for coaxial annular turbulence. - Optimized battery energy storage system operation in a typical American household, aligning photovoltaic generation and load demand with more comprehensive techno-economic factors - Introduced a simple and easy-to-use calculation method for annular turbulence hydraulic analysis which was proven sufficiently accurate for engineering calculations. nnovated in conducting hierarchical optimization using a genetic algorithm with the maximizing self-consumption strategy (MSC) and trained an Artificial Neural Network (ANN) to generalize the model for different demand scenarios, realizing online optimization of predictive scheduling.