Flexible Electronics and Neuromorphic Engineering (FTE-FENE)
Our mission is to develop technology that enables low-power, flexible, and neuromorphic electronic devices and systems for secure on-body AI. Inspired by the efficiency of the nervous system, we aim to create cognitive computers capable of processing large, complex, and dynamic signals in real time while minimizing power consumption. Our focus areas include personalized precision healthcare, diagnosis, neuro-prosthetics, and neuro-robotics. Our research covers hardware and software aspects, employing neuroscience principles in (1) neuromorphic electronics and sensors, (2) neuromorphic circuit design, (3) artificial neural networks for data processing, and (4) machine learning.
FTE-FN specializes in flexible electronic nanomaterials such as carbon nanotubes, graphene, MoS2, Si nanowires, ultrathin films, and process technology for flexible electronic devices, as well as tactile and thermal transducers. Since 2018, our research has expanded to include e-skin, neuromorphic analog circuit design, artificial neural networks (including spiking neural networks and constructive neural networks), and machine learning.
Some recent achievements include the development of self-powered and event-driven tactile sensors, flexible e-skins, neuromorphic analog circuits that mimic tactile sensory neurons, and an efficient object classifier based on spiking neural networks.
If you want to know more about our research group, you will find links to specific topics below: