Steve Ling

A/Prof. Steve Ling is an Associate Professor in the School of Electrical and Data Engineering at the University of Technology Sydney (UTS), where he leads the AIVision Nexus Research Lab. He specializes in applying artificial intelligence to medical imaging, bioinstrumentation, and multi-sensor systems. His research focuses on AI-driven solutions for healthcare challenges, including diabetes monitoring and automated ultrasound imaging.

Dr. Ling holds a PhD in Electronic and Information Engineering from the Hong Kong Polytechnic University (2007). He has authored over 240 research papers, with 100+ in top-tier journals. He is an Associate Editor for Electronics Letters, Sensors, and CAAI Transactions on Intelligence Technology, and a Senior Member of IEEE since 2012.

His funded projects include AIoT API marketplaces for industry analytics, AI-powered scoliosis assessment via 3D ultrasound, and machine learning for building health monitoring. He has collaborated with leading universities and companies like ScoliCare Pty Ltd and XTRA Sensing Ltd.

• Grants & Projects:
  • Machine Learning-Based System Health Monitoring (2024–2024)
  • AI-Powered Scoliosis Assessment with 3D Ultrasound (2024–2024)
  • Deep Learning for Scoliosis Assessment (2022–2024)
• Editorial Roles: Associate Editor for Electronics Letters, Sensors, and CAAI Transactions
• Awards: FEIT Early/Mid-Career Educator of the Year (2024)

He supervises over 10 PhD students and actively contributes to international conferences as a reviewer, session chair, and guest editor.