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

Biography

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.

Recent News

08/2022: We have one paper accepted at MobiCom 2022. Congratulations to Yao!

04/2022: We have succesfully secured a $1.7M fund from CSRIO.

Artificial Intelligence of Things for Resilient and Sustainable Smart Cities, funded by CSRIO under the Next Generations Graduates programs, Next Generation Emerging Technologies challenges, April 2022 - Oct 2025.

02/2022: We have one paper accepted at IPSN 2022. I was invited to serve the TPC of SenSys 2022.

12/2021: We have two papers accepted at INFOCOM 2022.

12/2021: I will give a keynote speech at ADHOCNETS 2021 on 6 December 2021.

11/2021: It is my great pleasure to serve as a General Co-Chair of ACM MobiCom 2022 to be held in Sydney next year.

07/2021: We have two papers accepted by ACM/IEEE ToN. Congratulations to Yu and Xianjin!

07/2021: Congratulations to Yu Zhang for receiving the Research Achievement Award for outstanding research performance in 2020!

06/2021: We have two MobiCom 2021 papers accepted!

05/2021: Critical Supply Chain CRC Melbourne Workshop will be held on 25 May 2021.

04/2021: Critical Supply Chain CRC Sydney Workshop will be held on 7 May 2021.

03/2021: Critical Supply Chain CRC bid is now officially started.

12/2020: We have a paper accepted by INFOCOM 2021. Congratulations to Jiuwu!

11/2020: We have two papers accepted by ACM/IEEE ToN. Congratulations to Xianjin and Zhiwei!

09/2020: Several month’s lockdown in Melbourne can really drive people mad, but nothing could encourage people better than sharing good news. Congratulation to Yu for his SenSys 2020 paper! I believe this is the world-first on-device deep learning framework with both training and inference that is fully enabled on commercial smartphones.

06/2020: I was invited to serve as the TPC Chair of IoTDI 2021.

05/2020: I was appointed as an Editor of IMWUT.

02/2020: We have two papers accepted by IPSN 2020. Congratulations to Yu and Yuxiang!

12/2019: We have an INFOCOM 2020 paper accepted. Congratulations to Xianjin!

09/2019: We will have two PhD students and two visiting overseas students joining our team. Welcome!

07/2019: Our paper on Lora parallel decoding will appear in SenSys 2019. Congratulations to Xianjin!

04/2019: One paper is accepted by ACM/IEEE ToN. Congratulations to Xianjin!

01/2019: My ARC DP grant application on decimetre-level indoor positioning which has a total funding amount of AUD280,000 is successful.

11/2018: Two papers are accepted by TMC.

10/2018: We have three papers in UbiComp 2018. Congratulations to Yu, Liang, and Tianben!

04/2018: We have a paper accepted by INFOCOM 2018. Congratulations to Zhiwei!

Hiring

New: We are hiring multiple PhD students!

In this new project, we aim to research, develop and deliver novel IoT platforms and solutions that will allow for massive connectivity of sensors, intelligent processing of data, and AIoT infrastructure support to optimise city functions and drive economic growth while improving quality of life for its citizens.

PhD student requirements:

  • Master’s degree in Computer Science or Electrical Engineering.
  • Solid theoretical foundation and strong system implementation skills.
  • Self-motivated and have strong passion in conducting high-quality research.
  • PR or Australian citizen.

We offer a competitive PhD scholarship of $40,500 per year (provided by CSIRO). In addition, we provide a training allowance of $15,000 and a travel allowance of $5,000 for each student. We also provide a vibrant research environment with strong facility and team supports. You will join the team led by Prof. Gu who is internationally recognized in the areas of ubiquitous computing, mobile computing and sensor networks. The team constantly publishes in top conferences and journals. To apply, please send your CV to tao.gu@mq.edu.au.

Please check out Here for more detail.

We are hiring Postdocs and PhD students!

The IoT research team in School of Computing at Macquarie University, Sydney, is recruiting several Postdocs and PhD students. Our research focuses on the areas of LoRaWANs, wireless sensing, mmWave radar sensing, and mobile deep learning.

Postdoc requirements:

  • PhD degree in Computer Science.
  • Solid theoretical foundation and strong system implementation skills.
  • Excellent publication record in mobile computing, wireless networking, and ubiquitous computing.

PhD student requirements:

  • Master’s degree in Computer Science or Electrical Engineering.
  • Solid theoretical foundation and strong system implementation skills.
  • IELTS above 6.5 overall and no sub-band below 6.0.
  • Self-motivated and have strong passion in conducting high-quality research.

We offer full PhD scholarship and competitive salaries and provide a vibrant research environment with strong facility and team supports. You will join the team led by Prof. Gu who is internationally recognized in the areas of ubiquitous computing, mobile computing and sensor networks. The team constantly publishes in top conferences and journals. To apply, please send your CV to tao.gu@mq.edu.au.