Tao Gu

Tao Gu

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. 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 am currently serving 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).

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, Embedded AI, Mobile Computing, Ubiquitous Computing, and Big Data Analytics. Please visit the Projects page for the specific research we are doing. We usually publish our work in journals and conferences, including ACM/IEEE ToN, IEEE JSAC, IEEE TMC, MobiCom, SenSys, UbiComp, IPSN, and INFOCOM.

We are hiring multiple PhD students! Please see Hiring.

On-going Projects

    Critical Supply Chain CRC

  Wireless & Sensing

    LPWANs

    Embedded AI

  Drone Remote Sensing

Selected Publications

Wireless & Sensing:

[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.

[IPSN'22] Zihao Chu, Lei Xie, Tao Gu, Yanling Bu, Chuyu Wang, and Sanglu Lu. Edge-Eye: Rectifying Millimeter-Level Edge Deviation in Manufacturing using Camera-enabled IoT Edge Device, in Proc. of the 21st ACM/IEEE Conference on Information Processing in Sensor Networks (IPSN 2022), Milan, Italy, 4-6 May 2022.

[INFOCOM'22] Jiuwu Zhang, Xiulong Liu, Tao Gu, Bojun Zhang, Dongdong Liu, Zijuan Liu, and Keqiu Li. An RFID and Computer Vision Fusion System for Book Inventory using Mobile Robot, in Proc. of IEEE INFOCOM 2022, May 2-5, 2022.

[MobiCom'21] Xiulong Liu, Dongdong Liu, Jiuwu Zhang, Tao Gu, and Keqiu Li. RFID and Camera Fusion for Recognition of Human-Object Interactions, in Proc. of the 27th International Conference on Mobile Computing and Neworking (MobiCom 2021), October 25-29, 2021.

LPWANs:

[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.

[ToN'20] Xianjin Xia, Yuanqing Zheng, and Tao Gu. FTrack: Parallel Decoding for LoRa Transmissions, IEEE/ACM Transactions on Networking (ToN), 2020.

[INFOCOM'20] Xianjin Xia, Yuanqing Zheng, and Tao Gu. LiteNap: Downclocking LoRa Reception, in Proc. of IEEE INFOCOM 2020, Toronto, Canada, July 6-9, 2020.

[IPSN'20] Yuxiang Lin, Wei Dong, Yi Gao, and Tao Gu. SateLoc: A Virtual Fingerprinting Approach to Outdoor LoRa Localization using Satellite Images, in Proc. of the 19th ACM/IEEE Conference on Information Processing in Sensor Networks (IPSN 2020), Sydney, Australia, April 21-24, 2020.

Embedded AI:

[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.

[IPSN'20] Yu Zhang, Tao Gu, and Xi Zhang. MDLdroid: a ChainSGD-reduce Approach to Mobile Deep Learning for Personal Mobile Sensing, in Proc. of the 19th ACM/IEEE Conference on Information Processing in Sensor Networks (IPSN 2020), Sydney, Australia, April 21-24, 2020.