Our research covers broadly neuromorphic computing, human machine interface, data privacy for edge devices, and smart device systems with dynamic adaptability. We are interested in the design, implementation, and experimental evaluation of emerging memory devices for neuromorphic computing & human machine interface, conventional memory technology for data privacy, hybrid memory technology to balance between the cost and performance. Our research is multi-disciplinary cutting across device physics, memory system development, algorithm, hardware-software co-design, end-to-end systems, and performance evaluation. 

We are actively looking for motivated students to join our lab. If you are interested in memory design and optimization for various applications, please contact us.

The broad themes of our research are: