Professor Glen Tian

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Professor, School of Computer Science

PhD (University of Sydney), PhD (Zhejiang University)

Professor Yu-Chu Tian received the Ph.D. degree in computer and software engineering from the University of Sydney, Sydney NSW, Australia, in 2009, and the Ph.D. degree in industrial automation from Zhejiang University, Hangzhou, China, in 1993. He is currently a Professor with the School of Computer Science, Queensland University of Technology, Brisbane QLD, Australia. His research interests include big data computing, cloud computing, computer networks, optimization and machine learning, networked control systems, and cyber-physical system security. The areas of applications of his research include power systems, hospitals, medical big data, vehicular networks, and transport systems.

Professor Tian is the Editor-in-Chief for Handbook of Real-Time Computing, a book series of major reference works published by Springer. As an Associate Editor, he is serving the journal of Information Sciences published by Elsevier and Asia-Pacific Journal of Chemical Engineering published by Wiley. He is an ACM Reviewer for Computing Reviews. He is a technology provider to several Australian companies for big data computing, cloud computing, networks and communications, power systems, and medical systems. Prof Tian has supervised nearly 30 Higher Degree Research (HDR) students to completion, and has provided supervision and mentoring to 30+ postdocs and research fellows.

Professor Tian has worked in Zhejiang University, Hong Kong University of Science and Technology, Curtin University, the University of Maryland at College Park, and currently Queensland University of Technology. He has been leading QUT's Big Data Lab, and was the Leader of QUT's Networks and Communications Discipline.

As the Chief Investigator, Professor Tian has secured over 20 research grants/projects of the total funds in excess of $5m, including 6 Australian Research Council (ARC) grants, 1 MRFF-TTRA (Medical Research Future Fund - Targeted Translation Research Accelerator) grant, 3 Australian Cooperative Research Centres (CRC) grants, 1 Australian Government Department of Education, Science and Training (DEST) international Linkage grant, and 1 ATN-DAAD Australian-Germany Collaborative Project Grant. He holds a patent on real-time control of large-scale and continuous galvanising line. Prof Tian has published a monograph (by World Scientific Publishing Co.) and 300+ research articles, among which 6 are highly cited papers in Web of Science. His publications have been cited 5300+ times in Google Scholar Citations with the h-index of 37 (as at 28 Oct 2021).

For Prospective PhD Students:

I supervise PhD students for research topics related to big data computing, cloud computing, computer networks, smart grid communications and control, optimization and machine learning, medical big data, and cyber-physical system security.

I do NOT supervise students on telecommunications, power systems, text mining, software engineering, cybersecurity, video and image processing, human-machine interaction, and eHealth.

Potential research areas for future PhD students:

  1. Medical big data processing and machine learning from EEG signals, CT iamges, and MRI images for brain injury diagnosis and atheroma assessment;
  2. Big data bioinformatics, particularly for the identification of the functions and characteristics of gene regulatory networks;
  3. Topology and protocols (particularly routing) for smart grid communications in wide area networks (WANs), neighborhood area networks (NANs), and home area networks (HANs); and large-scale optimization for smart grid communications;
  4. Topology, protocols, and services for the connectivity of large-scale IoT networks in layer 2 and above; IoT-satellite communication networks;
  5. Distributed computing of big data processing incorporating with evolutionary computing, machine learning, and other techniques;
  6. Virtual and physical resource optimization in cloud computing, edge computing, task offloading, and their applications;
  7. Networked control systems, and cyber-physical system security

For further information, please refer to my personal homepage: users.tpg.com.au/yctian

Additional information

Prof Tian is working with PA Hospital and a few other hospitals and medical clinics through an MRFF-TTRA project on a diagnostic tool with big data computing and machine learning for atheroma assessment to better manage vulnerable patients.

He has also been working with Powerlink QLD through a funded project on root cause analysis of power system faults via machine learning from multiple sources of big data.

Prof Tian also worked with PA hospital through an ARC-Linkage project on an integrated mathematical approach to synchronise and optimise hospital operations.

Title
Mitigating the Risks of Cyberattacks on Cyber-Physical Power Systems
Primary fund type
CAT 1 - Australian Competitive Grant
Project ID
DP220100580
Start year
2022
Keywords
Title
Towards a diagnostic tool for atheroma assessment to better manage vulnerable patients
Primary fund type
CAT 1 - Australian Competitive Grant
Project ID
TTRARP1052
Start year
2022
Keywords
Title
Cloud scheduling and management of energy systems with real-time support
Primary fund type
CAT 1 - Australian Competitive Grant
Project ID
DP170103305
Start year
2017
Keywords
Title
Control and Communications for High Value Distributed Electrical Storage
Primary fund type
CAT 1 - Australian Competitive Grant
Project ID
DP160102571
Start year
2016
Keywords
Title
An integrated mathematical approach to synchronise and optimise hospital operations
Primary fund type
CAT 1 - Australian Competitive Grant
Project ID
LP140100394
Start year
2014
Keywords
Scheduling; Operations Research; Operations Management
  • Energy-aware Composite SaaS Deployment in Cloud Data Centre using Computational Intelligence
    PhD, Associate Supervisor
    Other supervisors: Dr Maolin Tang
  • Profile-based Virtual Resource Management for Energy Efficiency of Data Centres
    PhD, Principal Supervisor
    Other supervisors: Professor You-Gan Wang, Dr Maolin Tang
  • A new fitness function to optimise energy in cloud data centres
    PhD, Principal Supervisor
    Other supervisors: Professor You-Gan Wang
  • An Adaptive Slice Independent Handover Framework for Inter-Slice Mobility Management in 3GPP Service-based 5G Networks
    PhD, Associate Supervisor
    Other supervisors: Dr Dhammika Jayalath
  • Cloud-based Cooperative Multi-Vehicle Dynamic Routing Using Co-evolutionary Computation
    PhD, Associate Supervisor
    Other supervisors: Dr Maolin Tang, Dr Marc Miska
  • Improving Computational Efficiency of Training Convolutional Neural Network
    PhD, Principal Supervisor
    Other supervisors: Dr Ghavameddin Nourbakhsh, Dr Maolin Tang
  • LoRaWAN communication scheduling through 2.4 GHz connection to avoid packet collision
    MPhil, Principal Supervisor
    Other supervisors: Professor Yanming Feng