Tao Gu

Tao Gu

Professor in IoT
IEEE Fellow
AAIA Fellow
ACM Distinguished Member
Email: firstname dot lastname AT mq.edu.au
Phone: +61-2-9850-4357
Address: Room 267, 4 Research Park Drive, North Ryde, NSW 2109, Australia

School of Computing, Macquarie University

I am currently a Professor in School of Computing at Macquarie University, Sydney, and the Founder/Director of Deego Technology Pty Ltd. I obtained my Ph.D. in Computer Science from National University of Singapore, M.Sc. in Electrical and Electronic Engineering from Nanyang Technological University, and B.Eng. in Automatic Control from Huazhong University of Science and Technology. I have served as an Editor of Proc. of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), an Associate Editor of IEEE Transactions on Mobile Computing (TMC) and IEEE Internet of Things Journal (IoT-J). I am currently serving as an Editor of IEEE Transactions on Wireless Communications.

The long-term goal of my research aims to discover innovative ways of connecting and sensing the physical world, and embedding AI intelligence to facilitate the development of new computing systems and applications. My current research interests include Internet of Things, Mobile Computing, Ubiquitous Computing, Wireless Sensing, Wireless Communication, Edge and Embedded AI. Please visit the Projects page for the specific research we are doing. We usually publish our work in journals and conferences, including MobiCom, MobiSys, SenSys, UbiComp, IPSN, and INFOCOM.

We are hiring multiple PhD students! Please see Hiring.

Research Projects

Sensing

New sensors, multi-modal sensing, autonomous sensing, algorithms, sensor fusion, and innovative sensing applications.

[UbiComp'24] Lei Wang, Xingwei Wang, Yu Zhang, Xiaolei Ma, Haipeng Dai, Yong Zhang, Zhijun Li, and Tao Gu. Accurate Blood Pressure Measurement Using Smartphone’s Built-in Accelerometer, the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 2024.
[MobiCom'23] Xi Zhang*, Yu Zhang*, Zhenguo Shi, and Tao Gu. mmFER: Millimetre-wave Radar based Facial Expression Recognition for Multimedia IoT Applications, in Proc. of the 29th International Conference on Mobile Computing and Networking (MobiCom 2023), Madrid, Spain, October 2-6, 2023. (* Equal Contribution)
[MobiSys'23] Lei Wang, Tao Gu, Wei Li, Haipeng Dai, Yong Zhang, Dongxiao Yu, Chenren Xu, and Daqing Zhang. DFSense: Dual Forming based Multi-user Acoustic Sensing for Heartbeat Monitoring , in Proc. of the 21st ACM International Conference on Mobile Systems, Applications, and Services (MobiSys 2023), Helsinki, Finland, June 18-22, 2023.
[MobiCom'22] Yao Wang, Tao Gu, Yu Zhang, Minjie Lyu, Tom H. Luan, and Hui Li. Enabling Secure Touch-to-Access Device Pairing based on Human Body's Electrical Response, in Proc. of the 28th International Conference on Mobile Computing and Neworking (MobiCom 2022), Sydney, Australia, October 17-21, 2022. [Demo Video]

Low-Power, Wide-Area Networks

New transmission techniques, energy saving approaches, network frameworks, performance optimization, security, and network deployment.

[MobiCom'24] Shiming Yu, Xianjin Xia, Ningning Hou, Yuanging Zheng, and Tao Gu. Revolutionizing Loa Gateway with XGate: Scalable Concurrent Transmission across Massive Logical Channels, in Proc. of the 30th International Conference On Mobile Computing And Networking (MobiCom 2024), Washington, D.C., USA, September 30 - October 4, 2024.
[IPSN'23] Zehua Sun, Tao Ni, Huanqi Yang, Kai Liu, Yu Zhang, Tao Gu, and Weitao Xu. FLoRa: Energy-Efficient, Reliable, and Beamforming-Assisted Over-The-Air Firmware Update in LoRa Networks, in Proc. of the 22nd ACM/IEEE Conference on Information Processing in Sensor Networks (IPSN 2023), San Antonio, Texas, May 9-12, 2023.
[INFOCOM'23] Huanqi Yang, Zehua Sun, Hongbo Liu, Xianjin Xia, Yu Zhang, Tao Gu, Gerhard Hancke, and Weitao Xu. ChirpKey: A Chirp-level Information-based Key Generation Scheme for LoRa Networks via Perturbed Compressed Sensing, in Proc. of IEEE INFOCOM 2023, New York area, USA, May 17-20, 2023.
[MobiCom'21] Xianjin Xia, Ningning Hou, Yuanqing Zheng, Tao Gu. PCube: Scaling LoRa Concurrent Transmissions with Reception Diversities,in Proc. of the 27th International Conference on Mobile Computing and Neworking (MobiCom 2021), October 25-29, 2021.

Edge and Embedded AI

Lightweight learning models, LLM and model tuning for edge devices (smartphones), on-device machine learning, and cross-domain model learning.

[SenSys'23] Huanqi Yang, Mingda Han, Mingda Jia, Zehua Sun, Pengfei Hu, Yu Zhang, Tao Gu, and Weitao Xu. XGait: Cross-Modal Translation via Deep Generative Sensing for RF-based Gait Recognition , in Proc. of the 21st ACM Conference on Embedded Networked Sensor Systems (SenSys 2023), Istanbul, Turkey, 12-17 November 2023.
[ToN'21] Yu Zhang, Tao Gu, and Xi Zhang. MDLdroid: a ChainSGD-reduce Approach to Mobile Deep Learning for Personal Mobile Sensing, IEEE/ACM Transactions on Networking (ToN), 2021.
[TMC'21] Yu Zhang, Tao Gu, and Xi Zhang. MDLdroidLite: a Release-and-Inhibit Control Approach to Resource-Efficient Deep Neural Networks on Mobile Devices, IEEE Transactions on Mobile Computing (TMC), 2021.
[SenSys'20] Yu Zhang, Tao Gu, and Xi Zhang. MDLdroidLite: a Release-and-Inhibit Control Approach to Resource-Efficient Deep Neural Networks on Mobile Devices, in Proc. of the 18th ACM Conference on Embedded Networked Sensor Systems (SenSys 2020), Yokohama, Japan, November 16-19, 2020. [Demo Video]

Integration of Sensing, Communication and Computing

Theoretical model and analysis, channel measurement and modelling, waveform design, resource management, millimeter wave/THz technologies, centimeter-level positioning and high precision detection.

[TWC'24] Jingbo Zhao, Zhaoming Lu, J. Andrew Zhang, Weicai Li, Yifeng Xiong, Zijun Han, Xiangming Wen, and Tao Gu. Performance Bounds for Passive Wireless Sensing in Asynchronous ISAC Systems, IEEE Transactions on Wireless Communication, 2024.