Dr KC Chan
Name | Dr KC Chan |
---|---|
Email Address | kc.chan@unisq.edu.au |
Job Title | Senior Lecturer (Information Systems) |
Qualifications | BAppSc Toronto, MAppSc Toronto, PhD UNSW |
Department | School of Business |
ORCID | https://orcid.org/0000-0002-8756-2991 |
15144
total views of outputs9167
total downloads of outputs445
views of outputs this month95
downloads of outputs this month
Biography
KC Chan received his BASc in Engineering Science and MASc in Mechanical Engineering from the University of Toronto, Canada, and his PhD in Manufacturing Engineering from the University of New South Wales, Australia. He was previously a tenured Senior Lecturer at the University of New South Wales, and a Visiting Assistant Professor at the Hong Kong University of Science and Technology. Dr. Chan also had extensive industry experience as founder and CTO in growing multiple technology companies from startups to public companies. After ten years in the ICT industry and a two-year career break, Dr. Chan returned to academia in 2010. He is currently a Senior Lecturer at USQ, an Honourary Senior Research Fellow at La Trobe University, and a Visiting Fellow at the University of New South Wales. In his academic career, Dr. Chan has published over 100 refereed papers. His current research interests are in FinTech and Cyber Security, in particular the applications of AI/ML and data science in these areas.
Employment
Position | Organisation | From | To |
---|---|---|---|
Senior Lecturer | University of Southern Queensland | 2018 |
Expertise
Financial technology
Cyber security
Data management, data engineering and data science Data mining and knowledge discovery
Information systems
Teaching
CIS8500 Applied Research for Information System Professionals
CIS8501 Advanced Information Systems Project
CIS8711 Cloud Security
CIS8720 Cyber Security Project
Fields of Research
- 460501. Data engineering and data science
- 460502. Data mining and knowledge discovery
Professional Membership
Professional Membership | Year |
---|---|
MIEAust CPEng NER APEC Engineer IntPE(Aus) | |
Member IEEE | |
Member ACM |
Supervision Interests
FinTech, Cyber Security
Current Supervisions
Research Title | Supervisor Type | Level of Study | Commenced |
---|---|---|---|
Enhancing Intrusion Detection in Web-Based Systems: A Comprehensive Analysis | Principal Supervisor | Masters | 2025 |
Deep Learning in Detection and Classification of Parasitology Images | Associate Supervisor | Doctoral | 2024 |
A Cognitive Approach to Designing a Cryptocurrency Trading System Framework using Cognitive Work Analysis and Abstraction Hierarchy | Principal Supervisor | Doctoral | 2024 |
Investigating the trade-offs between privacy, accuracy, and model performance in federated learning for privacy-sensitive domains | Associate Supervisor | Masters | 2023 |
Towards a Resilience Model for Industry 4.0: Building viable and sustainable Australian organisations | Principal Supervisor | Doctoral | 2023 |
Relationship between Customer Intimacy and Fintech Innovation: Examining the Role of Emerging Technologies | Principal Supervisor | Doctoral | 2022 |
Investor Attention and Risk of Stock Price Crash: Based on the Social Network Approach | Principal Supervisor | Doctoral | 2022 |
A lived experience for people over sixty years of age concerning phishing attacks and situational awareness. | Associate Supervisor | Doctoral | 2021 |
Enhanced Artificial Intelligence-Based Cybersecurity for The Detection of Cyber Fraud in the Banking Industry | Associate Supervisor | Doctoral | 2021 |
A grand unified theory of trust | Associate Supervisor | Doctoral | 2018 |
The role of design thinking and marketing strategies in implementing business ethics programs for social enterprises: Implications for Canadian and Australian Practitioners | Principal Supervisor | Doctoral | 2018 |
Completed Supervisions
Research Title | Supervisor Type | Level of Study | Completed |
---|---|---|---|
Development of a supervisory Internet of Things (IoT) system for factories of the future | Associate | Doctoral | 2021 |
ENHANCED AI-BASED METHODOLOGIES FOR DETECTION OF PRENATAL | Associate Supervisor | Doctoral | 2024 |
Investigating dynamic capabilities for sustainability-driven competitive advantage | Associate Supervisor | Doctoral | 2023 |
Evaluating Total Productivity of Cement Manufacturing Options with Mass Customisation Technologies | Associate Supervisor | Doctoral | 2023 |
The Role of Radio Frequency Identification (RFID) in Improving the Supply Chain Performance of Small and Medium Construction Companies in Australia and Enhancing Their Competitiveness in the Marketplace | Associate Supervisor | Doctoral | 2021 |
An examination of the relationship between consumers' cultural values and their functional food perception | Associate Supervisor | Doctoral | 2019 |