About
Xiaowen Gong is currently the Godbold Associate Professor in the Department of Electrical and Computer Engineering (ECE) at Auburn University. They hold a PhD from Arizona State University and completed postdoctoral work at Ohio State University. Their research focuses on wireless networks, federated learning, and edge computing with an emphasis on heterogeneous environments and quality-aware systems.
- BEng, Huazhong University of Science and Technology (2008)
- MSc, University of Alberta (2010)
- PhD, Arizona State University (2015)
- Postdoc, Ohio State University (2015-2016)
- Assistant Professor, Auburn University (2017-2023)
- Godbold Associate Professor, Auburn University (2023-present)
Research spans ML/AI in wireless networks, distributed computation, and socially-aware networking. Recent work includes anarchic federated learning, delay-optimal edge computing, and privacy-preserving crowdsensing. Publications address challenges in client heterogeneity, channel-aware scheduling, and secure data aggregation.
Key contributions include NSF CAREER Award (2022) for efficient federated learning, IEEE Internet of Things Journal Best Paper Runner-Up, and organizing RET Site for rural STEM teacher education in ML/robotics. Teaching covers Wireless Communication Systems, Neural Networks, and Information Security, with outreach activities involving robotics demonstrations for K-12 students.
