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Dr Yong-Bin Kang

Research Fellow
PhD in Faculty of IT, Monash University, Australia

Biography

Data science researcher. An intellectually curious and analytical researcher with the ability to systematically conceptualise problems and discover hidden insights from real-life problems by using quantitative and qualitative data analysis techniques. Dr Yong-Bin Kang is a data science researcher with expertise and experiences in the fields of natural language processing (NLP), machine learning (ML), and data mining (DM). 

  • Over 9 years experience in research and development in data science, especially in the fields of NLP, ML, and DM.
  • Significant experience in working, managing and delivering large industrial, multi-disciplinary research projects in data science such as patent analytics, clinical data analytics, scientific-article analytics, social-media data analytics, expert finding and matching, and machine learning algorithms and applications.
  • Developed and established collaborative research networks with domestic and international academics and industries. Developed research qualitative and analytical skills with strong capacity to conduct independent and collaborative interdisciplinary research

Research interests

Natural language process; machine learning; data mining

PhD candidate and honours supervision

Higher degrees by research

Accredited to supervise Masters & Doctoral students as Principal Supervisor.

Fields of Research

  • Natural Language Processing - 080107
  • Pattern Recognition And Data Mining - 080109
  • Knowledge Representation And Machine Learning - 170203

Teaching areas

natural language processing;machine learning;data mining;text mining

Publications

Also published as: Kang, Yong-Bin; Kang, Y.; Kang, Yong Bin
This publication listing is provided by Swinburne Research Bank. If you are the owner of this profile, you can update your publications using our online form.

Recent research grants awarded

  • 2020: Development of Proof-of-Concept AI-based solution for SoA (Statement of Advice) Assessment *; Fourth Line
  • 2018: Development of a deep-learning based solution for detecting corrosion in industrial assets using images captured from drones *; Robonomics AI

* Chief Investigator


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