The award nomination cited Shi’s contributions to the deployment of high-performance, low latency and secure deep neural networks on edge devices. He also was recognized for his innovative approaches in deep learning algorithms and for the co-exploration of neural architectures and hardware designs.
The social impact of Shi’s work has been significant. He developed a framework for the diagnosis, treatment planning, and prognosis of congenital heart disease. A hardware module Shi developed was integrated in the Intensive Care Unit workflow at Boston Children’s Hospital and Harvard Medical School, where it provided accurate real-time identification of abnormal findings in chest radiographs. He also has developed a smart implantable cardioverter defibrillator (ICD) which is now under clinical trial.