Colloquium with Xie this Thursday

Jiang (Linda) Xie
Jiang (Linda) Xie

Colloquium: Jiang (Linda) Xie
Thursday, March 12
3:30–5 p.m.
115 Avery Hall

Jiang (Linda) Xie
Professor
University of North Carolina at Charlotte

"The Sustainability of Mobile AI: An Energy Perspective"

Abstract: Artificial intelligence (AI) is shaping every aspect of human lives nowadays. Therefore, mobile devices, such as smartphones, tablets, wearable devices, and autonomous and unmanned aerial vehicles, are heavily invested in AI-enabled applications, with the support of a mobile system including wireless networks, edge, and cloud computing. However, AI applications consume considerably high energy and memory of mobile devices. Energy efficiency has become one of the biggest bottlenecks for running AI-enabled applications on resource-constrained mobile devices. How AI uses the energy resources defines a device’s potential and sustainability. Therefore, it is crucial to study the sustainability of AI applications running on a mobile device from an energy’s perspective. AI applications’ energy consumption depends on various properties of a device and the mobile system. In this talk, the sustainability of mobile AI applications and systems will be investigated from an energy’s perspective. Comprehensive energy measurement, benchmark, analytical energy model development, and energy-efficient/energy-aware algorithm design will be presented to achieve a sustainable mobile AI experience.

Bio: Jiang (Linda) Xie is a Professor of the Department of Electrical and Computer Engineering at the University of North Carolina at Charlotte (UNC-Charlotte), USA. She received her Ph.D. degree in electrical and computer engineering from the Georgia Institute of Technology in 2004. Her current research interests include wireless networks, mobile computing, Internet of Things, and cloud/edge computing. She received a Best Paper Award from IEEE INFOCOM 2025, IEEE Global Communications Conference (GLOBECOM) in 2017, and from IEEE/WIC/ACM International Conference on Intelligent Agent Technology in 2010. She also received the U.S. National Science Foundation Faculty Early Career Development (CAREER) Award in 2010 and the Graduate Teaching Excellence Award from the College of Engineering at UNC-Charlotte in 2007. She is a Fellow of the IEEE.