Jianan Jiang

🔭 I have a strong interdisciplinary background spanning Artificial Intelligence, Mobile Computing, and Interactive Systems.

My current research focuses on Interactive & Embodied AI, where I explore how generative and multimodal models can enable efficient and intelligent systems for real-world applications, particularly in VR/MR and Robotics. My long-term goal is to integrate insights across disciplines to develop technologies that can better understand, interact with, and adapt to the physical world.

Previously, I explored how AI could improve the design efficiency and creativity from both algorithmic and human-centered perspectives. My research journey began in my freshman year, when I joined the Dean’s research group and worked on several interdisciplinary engineering projects with industrial applications. Alongside my research, I actively participated in various technology competitions and campus activities to enrich my academic experience and campus life as a whole.

Research Interests

• Interactive & Embodied Systems: How can intelligent systems understand and adapt to people?
• Efficient Representation Learning: How can AI learn robust representations efficiently?
• Human-Centered Generative AI: How can generative AI augment existing workflows seamlessly?