• Driven by growing interest in understanding brain function, treating neurological disorders, and enabling brain–machine interface (BMI) technologies, neural interface research has advanced rapidly. Key directions in this field include minimizing invasiveness, integrating multimodal functionalities beyond electrophysiology (e.g., optical, acoustic, and magnetic modalities), and scaling data acquisition and analysis. In this talk, I will discuss recent advances in neural interface technologies along these three directions and present our recent work addressing associated challenges.

  • The increasing adoption of AI accelerators and chiplet-based heterogeneous integration has intensified the demand for high-bandwidth, low-loss interconnects at the package-substrate level. Glass substrates have attracted strong interest as next-generation
    interconnect platforms due to their low dielectric loss and excellent dimensional stability. However, forming high-resolution, high-frequency metal interconnects on glass through scalable processes remains challenging.

  • The next generation of intelligent soft machines requires seamless integration of flexible sensing, adaptive actuation, and closed-loop control to operate robustly in complex, dynamic environments. In this talk, I will present recent advances in multifunctional soft robotic systems that bridge human–machine interaction, environmental perception, and autonomous adaptation. I will first introduce an all-printed soft electronic skin platform for multimodal physicochemical sensing and intuitive human–machine interfacing, enabling AI-assisted gesture control and real- time hazard detection. 

  • Conventional electronic components are rigid and stiff, making them poorly suited for integration with soft, dynamic biological systems such as skin, nerves, and organs. Atomically thin materials such as graphene and other emerging 2D materials offer a transformative alternative. Their flexibility, transparency, and biocompatibility enable seamless interfaces with living tissue while providing powerful electronic and sensing capabilities.