Scholar
Tao Gu
Google Scholar ID: YfeWvwYAAAAJ
Professor, IEEE Fellow, AAIA Fellow, ACM Distinguished Member, Macquarie University Australia
Citations & Impact
Citations
6,521
H-index
42
i10-index
123
Publications
20
Co-authors
10
list available
Publications
Resume (English only)
Academic Achievements
- IEEE Fellow
- AAIA Fellow
- ACM Distinguished Member
- Published multiple high-impact papers, including:
- - MobiCom'24: Perceptual-Centric Image Super-Resolution using Heterogeneous Processors on Mobile Devices
- - SenSys'23: XGait: Cross-Modal Translation via Deep Generative Sensing for RF-based Gait Recognition
- - ToN'21: MDLdroid: a ChainSGD-reduce Approach to Mobile Deep Learning for Personal Mobile Sensing
- - SenSys'20: MDLdroidLite: a Release-and-Inhibit Control Approach to Resource-Efficient Deep Neural Networks on Mobile Devices
- - MobiCom'25: SpaceSched: A Constellation-Wide Scheduling System for Resolving Ground Track Congestion in Remote Sensing
- - UbiComp'24: Accurate Blood Pressure Measurement Using Smartphone’s Built-in Accelerometer
- - MobiCom'23: mmFER: Millimetre-wave Radar based Facial Expression Recognition
Background
- Currently a Professor in the School of Computing at Macquarie University, Sydney
- Founder/Director of Deego Technology Pty Ltd
- Research focuses on advancing intelligent sensing and AI technologies—spanning edge, embedded, and embodied systems
- Current research interests include Edge/Embedded/Embodied AI, Intelligent Sensing, Mobile and Ubiquitous Computing, Wireless Networks, and Internet of Things
- Regularly publishes in top venues such as MobiCom, MobiSys, SenSys, UbiComp, IPSN, and INFOCOM
