Chenyang Lu, who is internationally renowned for work in cyber-physical and real-time systems, has received the Outstanding Technical Achievement and Leadership Award from the IEEE Technical Community on Real-Time Systems.
Lu is the Fullgraf Professor in the Department of Computer Science & Engineering in the McKelvey School of Engineering at Washington University in St. Louis. He received the award, considered the most prestigious in the real-time systems field and the highest recognition of an individual by the organization, at the IEEE Real-Time Systems Symposium Dec. 6.
Lu’s research has been recognized by several other awards in 2022 for its lasting impacts. In November 2022, Lu received the Test of Time Award from ACM Conference on Embedded Networked Sensor Systems (SenSys), which recognizes papers that are at least 10 years old and have had a longstanding impact on the field. Lu’s paper on a wireless clinical monitoring system, originally published in 2010, was awarded for expanding sensing network systems into the medical setting and showing their challenges and promises in this domain. In May 2022, Lu received the IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS) Influential Paper Award for a groundbreaking paper on real-time wireless sensor networks. This award recognizes papers that have had a sustained and significant impact on real-time systems research for at least one decade. The paper, first presented in September 2002 when wireless sensor networks were in the early stages of development, was recognized for its pioneering role in addressing real-time communication issues in wireless sensor networks.
Lu’s research interests include artificial intelligence and Internet of Things for medicine, embedded and real-time systems and cyber-physical systems. The author and co-author of more than 200 research papers with more than 25,000 citations and an h-index of 73, Lu is editor-in-chief of ACM Transactions on Cyber-Physical Systems. He also served as editor-in-chief of ACM Transactions on Sensor Networks from 2011 to 2017, chair of the IEEE Technical Committee on Real-Time Systems from 2018 to 2019, and chair of leading conferences on Internet of Things, real-time systems, and cyber-physical systems. He is a Fellow of ACM and IEEE.