Kok-Leong Ong
Head of Department - Information Systems
Details
-
College: Accounting, Info Sys & Supply Chain
-
Department: Accounting, Info Sys & Supply Chain
-
Campus: City Campus Australia
-
kok-leong.ong2@rmit.edu.au
Open to
- Masters Research or PhD student supervision
- Career advice
- Collaborative projects
- Industry Projects
- Media enquiries
- Membership of an advisory committee
- Mentoring (long-term)
About
Kok-Leong Ong is a Professor of Business Analytics in the College of Business & Law, RMIT University. He is currently working on a range of analytics projects making data actionable through analytics-2-business translation, automation, and applications.
Kok-Leong Ong is currently a Professor of Business Analytics in the College of Business & Law, RMIT University.
His research focuses on analytics and machine learning translation into practice within different business verticals, and the development of new techniques as required to meet individual business needs. As a result, Kok-Leong's research has had a strong focus on impact, where many of his works were ranked by Altmetric to be in the top 25% and 5% of research in their respective domains. He has received over $1.4m in research grants and serves in various conferences related to analytics, including the prestigious KDD and PAKDD.
Kok-Leong is also well-known for his strategic leadership in programs. He was one of the members that started Australia's first degree in Business Analytics and led the development of La Trobe Business School's foray into Business Analytics from 2015 to 2019. From 2020, he contributed to the Business School's digital transformation program before joining RMIT in September 2021. He has won several teaching and service awards, including two VC's Teaching Award. In 2021, he was one of the four Australia-based academics to be named the Leading Data Academics by CDO Magazine.
Check out Kok-Leong's research on Google Scholar, or connect with him on LinkedIn.
My work focused on data and how it can be used to solve problems through the lens of using technology to translate data into actionable systems or workflows. Through data, I have worked on a range of vertical domains, including e-Commerce, public health, sports, urban studies, marketing and learning.
Kok-Leong Ong is currently a Professor of Business Analytics in the College of Business & Law, RMIT University.
His research focuses on analytics and machine learning translation into practice within different business verticals, and the development of new techniques as required to meet individual business needs. As a result, Kok-Leong's research has had a strong focus on impact, where many of his works were ranked by Altmetric to be in the top 25% and 5% of research in their respective domains. He has received over $1.4m in research grants and serves in various conferences related to analytics, including the prestigious KDD and PAKDD.
Kok-Leong is also well-known for his strategic leadership in programs. He was one of the members that started Australia's first degree in Business Analytics and led the development of La Trobe Business School's foray into Business Analytics from 2015 to 2019. From 2020, he contributed to the Business School's digital transformation program before joining RMIT in September 2021. He has won several teaching and service awards, including two VC's Teaching Award. In 2021, he was one of the four Australia-based academics to be named the Leading Data Academics by CDO Magazine.
Check out Kok-Leong's research on Google Scholar, or connect with him on LinkedIn.
My work focused on data and how it can be used to solve problems through the lens of using technology to translate data into actionable systems or workflows. Through data, I have worked on a range of vertical domains, including e-Commerce, public health, sports, urban studies, marketing and learning.
Research fields
- 350301 Business analytics
- 4602 Artificial intelligence
UN sustainable development goals
- 11 Sustainable Cities and Communities
- 3 Good Health and Well Being
- 9 Industry, Innovation and Infrastructure
Academic positions
- Director
- RMIT University
- Enterprise AI and Data Analytics Hub
- Melbourne, Australia
- Feb 2022 – Present
- Head of Department
- RMTI University
- Information Systems and Business Analytics
- Melbourne, Australia
- Jan 2022 – Present
Non-academic positions
- Board member
- RMIT University
- Digital3
- Melbourne, Australia
- Jan 2023 – Present
Supervisor projects
- Securing LLMs for Financial Applicaitons
- 22 Feb 2024
- PhD Proposal - Evaluating and Mitigating Cyber Risks in Enterprise AI Systems
- 5 Dec 2023
- Securing ECG authentication for wearable devices from clustering attack
- 21 Aug 2023
- Sustainable AI Transformation for Small and Medium-Sized Enterprises (SMEs) in the Fashion Ecosystem - An Ambidextrous Approach
- 4 Aug 2023
- Build trustworthy and resilient distributed learning system via identifying and resolving threats
- 25 Jul 2023
- Identifying Organisational Artificial Intelligence Readiness
- 19 Jul 2023
- Designing AI-enabled business models for achieving Environmental, Social and Governance (ESG) goals in India and Australia
- 12 Jul 2023
- New AI techniques to deliver enhance capabilities in e-Commerce (as per Carsales contract)
- 11 Aug 2022
- Reinforcement Learning in Food Supply Chain- Multi Products with Different Shelf Life
- 29 Jul 2022
- Designing an Automated Barking Drone to Detect and Repulse Cattle
- 1 May 2022
- Analytics to Business Translation from capabilities mapping to a unified framework of business analytics translation for organisations
- 12 Jan 2022
Research interests
Artificial Intelligence and Image Processing, Information Systems, Business and Management.
Research and engagement in various areas of data analytics and mining, AI and machine learning, automation, and advanced information systems.
Research and engagement in various areas of data analytics and mining, AI and machine learning, automation, and advanced information systems.
