A Doctoral program at the University of Aizu 3rd grade won the Certificate of Best Student Paper Award at the "2023 6th International Conference on Electronics Technology (ICET)"

At the "2023 6th International Conference on Electronics Technology (ICET)" （※1）held in Chengdu, China from May 12 to May 15, 2023, Jiangkun Wang, a 3rd grade doctoral student belonging to the Ben Abdallah & Dang Laboratory （※2） of our university, received the Best Student Paper Certificate Award.
The awarded paper is entitled "Scaling Deep-Learning Pneumonia Detection Inference on a Reconfigurable Self-Contained Hardware Platform."

This paper（※3）presents methods and architectures for scaling deep learning inference for pneumonia detection in chest X-ray images based on a reconfigurable self-contained AI-based system.
The system is based on a high-performance, low-power, reconfigurable FPGA cluster for inference, a robust collaborative learning mechanism for privacy preservation, and an interactive user interface for effective operation and monitoring.

Left (Supervisor and Co-author: BEN ABDALLAH Abderazek), Center (Author: WANG Jiangkun), Right (Co-author: DANG Nam Khanh)

※1 2023 6th International Conference on Electronics Technology (ICET)
※2 Ben Abdallah & Dang Laboratory
※3 Awarded Paper pdf