I am currently engaged as an IWY (Impossible Without You) Research Scientist at CSIRO Data61, visiting researcher at UC Davis and adjunct fellow at RMIT University. Previously, I held a position as a Postdoctoral Researcher at UC Davis, under the mentorship of IEEE Fellow Junshan Zhang, following a similar stint at Arizona State University.

I obtained my PhD under the supervision of Prof Flora Salim and Dr Jeffrey Chan, where I focused on spatio-temporal data mining and smart cities. Before that, I obtained my master’s degree from the University of Hong Kong with distinction honor.

Research Interest

AI-Cybersecurity, Graph neural networks, Spatio-temporal data mining, Reinforcement learning application, Large Language Model application and the Internet of Things (IoT).

News!

• 4/24: Our paper has been accepted by IEEE Transactions on Mobile Computing (IEEE TMC, CCF A, Core A*)! This paper first time introduce the fairness into autonomous driving safety.
• 3/24: Our paper about discussing the robustness of the fairness has been accepted by Data Mining and Knowledge Discovery (IF=4.8, Q1, Core A, CCF B)
• 3/24: Our fairness paper has been accepted by GECCO (Core A).
• 3/24: Our survey paper (IoT security) has been accepted by IEEE Internet of Things Journal.
• 1/24: Our paper about parking avaiablity prediction has been accepted by PMC.
• 12/23: I was awarded a grant from the AWS and RMIT University, aiming to significantly advance cybersecurity in network infrastructures (Principal Investigator).
• 9/23: Our paper is accepted by ICDM (Core A*, CCF B)
• 6/23: Join in data61 CSIRO as a IWY (Impossible Without you) Research Scientist

Academic Services

Selected TPC Member:
KDD ‘24
ICML ‘24, 23
ICLR ‘24
NeurIPS ‘23, 22
WWW’ 24
IJCAI ‘24, 23, 19
AAAI ‘21, 20
ECML-PKDD ‘24
CIKM ‘24, 23, 22
WACV ‘23
SECON ‘23, 22, 21
SIGSPATIAL’ 23, 22
EAAI ‘23
CHI ‘19

Selected Journal Invited Reviwer:
IEEE Journal on Selected Areas in Communications (JSAC)
ACM Transactions on Spatial Algorithm and Systems (TSAS)
IEEE Transactions on Knowledge and Data Engineering (TKDE)
IEEE Transactions on Human-Machine Systems (THMS)
IEEE Transactions on Communications (TOC)
IEEE Transactions on Intelligent Transportation Systems (TITS)
ACM Transactions on Intelligent Systems and Technology (TIST)
Nature Machine Intelligence
IEEE Internet of Things Journal (IoTJ)
IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (UbiComp)

Guest Editor
Sensors, Electronics, Frontier in Sustainable Cities

PhD Student Recruitment: Australia & USA Collaborative Program

Exciting PhD positions are available in a prestigious research program co-supervised with leading universities across Australia and the USA. This program offers a unique blend of international academic collaboration, cutting-edge research, and scholarship opportunities.

Partner Universities:

• Australian National University (ANU)
• University of New South Wales (UNSW)
• Monash University
• Royal Melbourne Institute of Technology (RMIT)
• Macquarie University
• Latrobe University
• University of California, Davis (UC Davis)
• University of Houston

Minimum Applicant Requirements:

• Language: IELTS overall score ≥ 6.5, with no band < 6.0.
• Research: At least one CORE A* publication (First author/leading contributor). Essential!
• Academics: GPA ≥ 80/100.

Note: Requirements listed are the minimum; specific universities may have additional criteria.

Scholarships:

• General: Full scholarships for outstanding candidates.
• Australian PR/Citizens: AU$45,000/year scholarship plus tuition fee waiver.

Note: We welcome self-funded and CSC students.

Application Process:

Submit your CV, motivation letter, and publication list. Ensure your application showcases your research interests, achievements, and eligibility for the program.

How to Apply:

For application guidelines and submission, contact [wei.shao@data61.csiro.au].

Embark on your research journey with us and make a significant impact in your field. We welcome ambitious and talented students to our collaborative academic community.

Official Supervised Students

• Nan Gao, PhD – Ubiquitous Computing and HCI, Postdoc Researcher, Tsinghua University
• Arian Prabowo, PhD – Spatio-Temporal Deep Learning of Trajectories
• Kai Qin, PhD – Graph Alignment and Optimization, Principal Researcher, China Southern Power Grid
• Sichen Zhao – PhD – XAI and Spatio-temporal data mining