Current Research Interests:

•  Generative AI for Software Engineering Automation, Generative AI in Education, and AI–Hardware Optimization for Edge Computing 

Currently Active Research Projects (Looking for motivated students. If you are interested, please email me at zheng.li@stockton.edu)

•  Large Language Models for Software Engineering Automation

This project focuses on leveraging large language models (LLMs) to develop a practical, scalable framework for automating software engineering workflows. The goal is to pipeline key stages of the software development lifecycle using LLM-driven automation to improve productivity and development efficiency.   

•  Large Language Models for Self-Paced and Personalized Learning

This project investigates AI-driven approaches to self-paced learning by tracking students’ learning processes and performance over time. By modeling individual learning curves, the system designs customized learning paths that adapt to students’ learning progress.   

•  AI Model Optimization on Edge Devices 

This project explores techniques for optimizing AI models for deployment on resource-constrained edge devices. The research aims to reduce inference latency, energy consumption, and computational overhead through model optimization strategies, enabling efficient, practical AI applications on edge devices.