Wang Xin

Assoc Professor

Accepting PhD Students

20032024

Research activity per year

Personal profile

Biography

Dr. Xin Wang obtained her PhD from Nanyang Technological University (NTU). She served as a research fellow at the Robotics Research Center, NTU, from 2007 to 2009 and as an Assistant Professor at the Faculty of Engineering & Science, Universiti Tunku Abdul Rahman, from 2009 to 2012. She joined the School of Engineering at Monash University Malaysia campus as a senior lecturer in 2012 and has been an Associate Professor there since 2018. Dr. Wang was a visiting professor at the National Metrology Centre, Singapore, in 2011, and at the Centre for Optical & Laser Engineering, NTU, in 2016.

Dr. Wang's research interests include machine vision, image processing, laser sensing, optical metrology, deep learning, AI applications in healthcare, non-destructive testing, and structural health monitoring. She has published 2 book chapters and over 70 peer-reviewed journal papers. Dr. Wang is a Chartered Engineer and a Senior Member of IEEE

 

Research interests

My research focuses on  machine vision, image processing, laser sensing, optical metrology, deep learning, AI applications in healthcare, non-destructive testing, and structural health monitoring. 

Monash teaching commitment

  • MEC3457 - Systems and Control
  • MEC4801 - Non-Destructive Testing and Inspection

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 7 - Affordable and Clean Energy

Research area keywords

  • Intelligent non-destructive testing and evaluation
  • optical metrology
  • machine vision and deep learning

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or