Bin Liang
A visionary data scientist at the forefront of data analytics, machine learning, and computer vision research, Dr Bin Liang is generating innovative solutions to complex challenges facing industry and society.
Bin is determined to deliver translational research with real-world impact through deep engagement with industry. Since graduating with a PhD in Computer Science in 2016, he has applied his extraordinary skills in predictive modelling, data processing, and data mining algorithms to solve multifaceted problems for business – first as a postdoctoral fellow in CSIRO’s data and digital specialist arm, Data61, and now as a senior lecturer and esteemed researcher in the Data Science Institute at University of Technology Sydney (UTS).
In his relatively young career, Bin has already earned a reputation for global leadership in his field for cutting-edge R&D projects in partnership with diverse industries, from utilities and transport to earth sciences and sport. He is perhaps best known for his ground-breaking work with Sydney Water, where he has analysed smart sensor data streams to save over 10,000 megalitres of water each year at a cost-saving of over $20 million, and developed a novel water pipe failure prediction tool that has revolutionised maintenance strategies for anticipated savings of $2.6 billion over ten years.
The impact of Bin’s research on our economy, environment, and society will only continue to grow. He is currently Chief Investigator on an array of transformative projects funded by competitive grants, including exploring the potential of deep learning in the earth sciences, mapping tree coverage using high-resolution satellite imagery, developing a tool to unlock Australia’s landmass for carbon sequestration, and integrating leak sensing technology and leak break analytics into Sydney Water’s business-as-usual practices.
Bin has also recently had a collaborative proposal accepted by Connectivity Innovation Network to support a trailblazing PhD study on 3D flood mapping, leveraging the power of deep learning, advanced sensing techniques, sustainability, and data science to revolutionise the way we understand and respond to flood events.
Widely published in high-ranking journals, Bin also shares his research findings directly with industry through prominent industry events and trade publications. He actively inspires other young researchers and is a dedicated mentor to research students, creating an inclusive, collaborative, and nurturing environment in which their research passions and contributions can flourish.
Bin’s research excellence has been recognised with a slew of awards, including the coveted Australian Museum Eureka Prize for Excellence in Data Science Award, AWA R&D Excellence Award (NSW), AWA Research Innovation Awards, UTS Mid-Career Researcher Capability Development Initiative Award, UTS Medal for Research Impact, and the Victorian iAwards Industrial & Primary Industries Merit. He was also a finalist for the AWA Young Water Professional of the Year Award 2021-22 and for Best Paper at the 16th International Conference on Control, Automation, Robotics and Vision in 2020.
Bin continues to demonstrate admirable research leadership, collaboration, and academic rigour. Through developing data-driven solutions to tackle critical challenges, he is contributing meaningfully to advancing scientific knowledge and enhancing the world we live in.