Jianan Jiang

Hi there! Thanks for visiting my page. 👋

🔭 I have a strong interdisciplinary background. I truly enjoy exploring the intersection of these fields, and my long-term goal is to develop and integrate various insights into surroundings to enhance our living efficiency and quality.

🔍 Master: My focus primarily revolved around leveraging AI technologies to assist designers in enhancing their design process:

• Generative AI: Diffusion Models, GANs, AutoEncoder, Vision Transformers.
• Efficient Learning: Self-Supervised Learning, Multi-Modal Learning.

🔍 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.

Starting in my freshman year, I joined the Dean’s research group and participated in three projects. The final project, for which I was responsible, achieved notable results. It led to a breakthrough in the textile field, passed a formal technical appraisal, and facilitated collaborations with several leading companies in the industry. Furthermore, I actively participated in various technological competitions and campus activities to enrich my academic experience and campus life as a whole.