معرفی
Quan Z. Sheng is a Distinguished Professor and Head of the School of Computing at Macquarie University, Australia. Previously, he held senior leadership roles at the University of Adelaide. He earned his PhD from the University of New South Wales (UNSW) and has extensive industry experience as a senior software engineer. His research focuses on Internet of Things (IoT), Big Data Analytics, Machine Learning, and Web Science, with significant contributions to services computing and trust management. Sheng has received notable awards, including the AMiner Most Influential Scholar Award (2018) and ARC Future Fellowship (2014).
His research interests span IoT service ecosystems, graph-based machine learning, and federated learning. Recent achievements include advancements in graph-level learning and fraud detection systems. Sheng leads major grants like the ARC Research Hub in IoT for Water and collaborates with industry through CRC partnerships. His team has produced over 500 publications, with impactful work featured in Communications of the ACM and top conferences like IEEE ICDM. Sheng advises a diverse group of PhD students and oversees research centers including the Data Horizons and Smart Green Cities.
Awards:
- AMiner Most Influential Scholar Award on IoT (2018)
- ARC Future Fellowship (2014)
- Chris Wallace Award for Outstanding Research (2012)
- Best Paper Awards at IEEE ICDM 2021 and PDCAT 2019
Grants & Collaborations: Leads ARC Industrial Transformation Hubs ($10M+), Digital Finance CRC, and Smart Cities projects. Active in IEEE Technical Communities and ACS IoT Advisory Board.
Teams & Labs: Directs research groups in AI, IoT, and data science. Collaborates globally through visiting scholars and industry partnerships.
