(Adaptive AI & Human Dynamics) Lab

Our lab studies human-centered AI. We build adaptive intelligent systems that combine rigorous machine learning with real-world understanding of human behaviour, context, and decision-making. Join Us Now!

Questions We Answer

1. How do we model human dynamics and context well enough to adapt systems to real people?
2. How do we make those adaptive systems trustworthy—privacy-preserving, fair, robust, and deployable?
3. How do we turn them into working applications in mobility, education, healthcare, and intelligent services?

Research Themes

1. Adaptive and Personality-Aware LLMs We study how large language models can be adapted to user traits, task requirements, and domain constraints. This includes personality-aware dialogue systems, adaptive persona prompting, task-dependent model behaviour, and efficient control of reasoning style.

2. Trustworthy Generative AI We investigate bias, robustness, privacy, and safety in generative AI systems, especially when models are deployed in education and human-facing decision support.

3. Human Dynamics and Context-Aware Intelligence We develop models and systems for understanding human behaviour from heterogeneous signals, with emphasis on context awareness, privacy preservation, and actionable insights.

4. Intelligent Services for Real-World Domains We design AI systems for practical domains such as personalized learning, mobility, healthcare, and automotive diagnostic services.

Check out examples from our Projects and Papers

Lab Members

Director

• Dr. Shen Jiaxing

PhD Students

• Mr. Shen Yifei (Year 1)
• Mr. Wang Wenxuan (Year 1)
• Ms. Liu Zirui (Year 1)
• Mr. Kou Haoxuan (Year 1)

Research Assistants

• Mr. Zuo Chenyu
• Mr. Gu Zepeng

Alumni

• Mr. Liu Yuanjun (visiting Phd from Soochow University)

Open Positions

We are recruiting:

• PhD students: 2 quotas left for 2026 intake
• Postdoctoral fellows: 1 quota left