Professor Lina Yao

Professor Lina Yao

Conjoint Professor

PhD - University of Adelaide. 2014

 

Engineering
Computer Science and Engineering

Prof. Lina Yao is currently a Senior Principal Research Scientist and Science Lead at CSIRO's Data61, and Conjoint Full Professor at UNSW. Prior to that, she is a Scientia Associate Professor and Acting Associate Head of School (Research) in the School of Computer Science and Engineering. She is leading the research group Data Dynamics Lab , opens in a new window(D2 Lab) founded in 2016. We strive for developing generalizable and explainable data-efficient data mining, machine learning and deep learning algorithm...

E-mail
lina.yao@unsw.edu.au

Australia Category-1 Grants:

  • ARC Discovery Project, Lead CI, Generalisable and Unbiased Dynamic Recommender Systems, 2023-2026
  • ACARP, Chief Investigator, Risk Based Model for Forecasting Longwall Face Cavity Development, 2022 - 2023
  • ARC Discovery Project, Lead CI, Robust Preference Inference from Spatial-Temporal Interaction Networks, 2021 - 2023
  • ARC Linkage Project, Lead CI, Context and Activity Recognition for Personalised Behaviour Recommendation, 2020 - 2022
  • ARC LIEF, CI, "A Large-Scale Distributed Experimental Facility for the Internet of Things", Australian Research Council Linkage Infrastructure, Equipment and Facilities Project, 2018
  • ARC DECRA Award, Sole CI, "Effective Recommendation for Web of Things", Australian Research Council Discovery Early Career Researcher Award, 2016-2018

Others:

  • EpiWatch – Artificial Intelligence Early-Warning System for Epidemics, CI, Medical Research Future Fund 2021 - 2022
  • Machine learning techniques for self-aware computing, Sole CI, Defence Science and Technology Group, 2021 - 2025
  • Deep learning for objective measure of tinnitus, CI, British Tinnitus Association 2021 - 2024
  • Exploration of Hierarchy of Learning Models in Relation to Goals, Defence Science and Technology Group, 2020-2023
  • Long Range/BAA Project, Sole CI, "Context-aware Intent Prediction for Human-Machine Cooperation Improvement", Office of Naval Research (US Department of Navy), 2019 - 2021
  • Multi-faceted Adaptive Trust Management in Federated/Distributed Data and AI Systems, Lead CI, Collaborative Research Project, Data61, 2019 - 2021

Selected awards:

  • Outstanding Research Contribution Award (formerly named after Chris Wallace), The Computing Research and Education Association of Australasia (CORE) 2023
  • Listed among the World’ Top 2% Scientists in the 2022 list compiled by Stanford University and published at PLOS in the single year category.
  • Educational Excellence and Innovation Group Award, UNSW Faculty of Engineering Excellence Awards 2021
  • Winner of 2021 Australia and New Zealand Women in AI Awards in the category of AI in Cybersecurity, 2021
  • Listed among the World’ Top 2% Scientists in the 2021 list compiled by Stanford University and published at PLOS in the single year category.
  • Academic Excellence, UNSW Faculty of Engineering Excellence Awards, 2020
  • Vice-Chancellor’s Award for Excellence in Higher Degree Research Supervision in the Emerging Supervisor Category 2020, UNSW
  • Listed among the World’ Top 2% Scientists in the 2020 list compiled by Stanford University and published at PLOS in the single year category.
  • Inaugural Vice Chancellor's Women's Research Excellence Award, The University of Adelaide 2015
  • Dean's Commendation for Doctoral Thesis Excellence, The University of Adelaide 2014
  • Google PhD Prize, Google 2012

  • TechVouchers Project - Succession Plus Australia, Co-CI, Automatic and Integrative Business Solution for Valuation Data Warehousing, Department of Industry, New South Wales 2020
  • Cooperative Research Centres Projects, CI, DeepIoT – A New Hybrid Wireless IoT Platform for Underground Mines, 2020 - 2023
  • TechVouchers Project - iKnow Pty Ltd., Sole CI, Customter-centric Interactive Decision Making System, Department of Industry, New South Wales, 2019
  • UNSW-Tsinghua University Collaborative Research Fund, CI, "iAgeWell: A Unified Computational Mobile Solution for Personalised Wellness management in Senior Citizens", 2019 -2020
  • TechVoucher Project, Co-CI, Inkerz Smartpen, Department of Industry, New South Wales, 2019
  • TechVouchers Project - Raiz Pty Ltd., Sole CI, "Collaborative Deep Learning based Personalized Product Recommendation Model", Department of Industry, New South Wales, 2018
  • UNSW-Tsinghua University Collaborative Research Fund, Lead CI, "City Pulse: A Unified Computational Framework for Data-driven, People-centric Smarter City Applications", 2018 - 2019

My Research Supervision

Please check my personal website or Data Dynamics website for more information.

My Teaching

COMP9727 - Recommender Systems

COMP9321 - Data Service Engineering

UNSW CSE Honour thesis and Master's research project students

Vertically Integrated Project - Data Dynamics