题  目：From Bench to Bedside: Empowering Clinical Information Processing with Edge Computing Systems

内容简介：The healthcare industry thrives on timely analysis of clinical data to deliver accurate diagnoses and treatment plans. However, traditional processing methods are often slow and resource-intensive, hindering patient care. Edge computing emerges as a game-changer, enabling real-time data processing and analysis at the point of care, leading to faster and more informed clinical decisions. In this talk, we will explore how edge computing breaks down barriers in clinical information processing, leading to improved patient outcomes. We will examine some of the key challenges in clinical information processing and how edge computing can help overcome these challenges through faster data processing, increased data privacy and security, and improved decision-making capabilities. We will also explore how edge computing can be integrated with other emerging technologies to benefit patients and healthcare providers more. Ultimately, this talk will provide valuable insights into how edge computing is transforming the healthcare industry and what it means for the future of patient care.

报告人：李炜

报告人简介：Wei Li is currently an ARC DECRA Fellow with the Centre for Distributed and High Performance Computing, School of Computer Science, The University of Sydney, Australia. He is the technical lead of the Australia-China Joint Research Centre on Energy Informatics and Demand Response Technologies. He received his PhD degree from School of Information Technologies, The University of Sydney, Australia. His research interests include edge computing, sustainable computing, task scheduling, decision making, Internet of Things, energy informatics, and medical informatics. He is the recipient of ARC DECRA Fellow in 2020, and the IEEE TCSC Award for Excellence in Scalable Computing for Early Career Researchers in 2018, and the IEEE Outstanding Leadership Award in 2018. He serves as the information director for ACM Computing Surveys.

时  间：2024年4月3日（周三）上午10：00开始

地  点：南海楼338室

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信息科学技术学院

2024年3月27日