Jianan Jiang

🔭 I have a strong interdisciplinary background spanning Generative AI, 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.

🔍 Master: My focus primarily revolved around AI-driven visual computing and human-centered applications:

• Representation Learning: ARNet (AAAI’25); HAIFIT (T-AI’26).
• Generative AI for Design: HAIGEN (UbiComp’24); StyleMe (CHI’23); StyleWe (CSCW’24).
• Efficient Computing: FPGA (T-II’24); CrossGAI (UbiComp’24).

🔍 Undergraduate: I gained extensive experience in various engineering projects with the following interconnected aspects:

• Microcontroller Development: Jetson Nano, Raspberry Pi, Stm32, PLC.
• Deep Learning: Image Classfication, Object Detection.
• PCB Design: Altium Designer.
• Mechanical Modeling and Analysis: SolidWorks, Ansys.

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. One of these, which I led, explored robotics for textile manufacturing; the resulting work passed a formal technical appraisal and supported collaborations with industry-leading companies. Furthermore, I actively participated in various technology competitions and campus activities to enrich my academic experience and campus life as a whole.