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Dr Yong-Bin Kang

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

Biography

Dr Yong-Bin Kang is a data science researcher with expertise and experiences in the fields of machine learning, data mining, information retrieval, and big data. In 2011, he completed his PhD in the areas of machine learning and data mining in the Faculty of Information Technology (FIT) at Monash University. In his PhD research, he proposed and developed a new retrieval algorithm in Case-Based Reasoning (CBR) by enhancing the traditional similarity-based retrieval with data mining techniques.

Immediately following the completion of his PhD, he has been actively investigating a wide range of real-world machine learning problems and leading various data science research via collaborations within Monash and with international research groups. More recently, his research has been focused on innovating ways for machines to harness the enormous pools of knowledge possessed by experts in specialised fields (e.g. medical and life-science domains) through advanced machine learning and data mining techniques.

Research interests

Machine Learning; Data Mining; Information Retrieval; Big Data Processing

PhD candidate and honours supervision

Higher degrees by research

Accredited to supervise Masters & Doctoral students as Principal Supervisor.

Teaching areas

Data Science;Machine Learning;Big Data;Data Mining;Information Retrieval

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

  • 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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