Dr Yi Zhang is an Associate Professor at the UTS Australian Artificial Intelligence Institute (AAII) and the School of Computer Science in the Faculty of Engineering and Information Technology. He obtained a dual-PhD degree in Management Science & Engineering (Beijing Institute of Technology, 2016) and Software Engineering (UTS, 2017). He was a visiting scholar at the School of Public Policy, Georgia Institute of Technology (2011-2012) and the School of Mathematics and Statistics, University of Melbourne (2022-2023).

He was the awardee of the 2019 Discovery Early Career Researcher Award (DECRA) granted by the Australian Research Council (ARC) and the 2023 Research Award from The Australian, recognised as the Research Field Leader in Australia’s Library and Information Science discipline.

He has published over 100 high-quality research articles, aligning with his cross-disciplinary interests in artificial intelligence for science, technology, and innovation studies (AI for ST&I). Driven by ST&I problems in technology and innovation management (e.g., measuring technological change, technological forecasting, and ST&I recommendations), he spearheads a direction called intelligent bibliometrics - developing computational models that incorporate artificial intelligence and/or advanced data analytic techniques with bibliometric/scientometric/informetric data and indicators.

He is an Executive Editor for Technological Forecasting & Social Change, a Specialty Chief Editor for Frontiers in Research Metrics and Analytics, and an Associate Editor for IEEE Transactions on Engineering Management, Scientometrics and International Journal of Computational Intelligent Systems.

He is a Senior Member of IEEE, a Life Member of ISSI, and a Member of ASIST.