We focus the fabrication of various sensing devices based on semiconductor, and we implement the computing unit on it to achieve edge intelligence. These devises can be used various application including robotics and biomedical wearable devices.
We seek an undergraduate researcher to contribute to the development of an intelligent sensing device that integrates emerging materials and neuromorphic computing algorithms. The student will work under the guidance of a postdoctoral fellow and faculty to: (1) design and fabricate sensor prototypes; (2) implement in-sensor preprocessing algorithms for real-time feature extraction; and (3) evaluate device performance in robotics and biomedical benchmarks.
The motivation for this work lies in overcoming the bottleneck of energy- and latency-limited data transfer between sensors and processors. By embedding neuromorphic encoding capabilities at the sensor front-end, we can reduce bandwidth requirements by orders of magnitude and enable autonomous platforms such as soft robots and wearable health monitors to make rapid, power-efficient decisions in unstructured environments.
In the broader context, this work advances our lab’s mission to bridge robotics, human–machine interfaces, and neuromorphic computing through advanced packaging, positioning our group at the forefront of next-generation intelligent systems. Successful prototypes will feed directly into on-going projects and open new avenues in minimally invasive biomedical diagnostics.
This position will provide hands-on experience in microfabrication, system-level algorithm development, and multidisciplinary teamwork, preparing the student for graduate study or careers in cutting-edge sensor technology.
N/A
- semiconductor fabrication skill
- optical/mechanical simulation skill
- AI algorithm development skill