Kenny Yee Chee Hoong

Kenny Yee Chee Hoong

  • Senior Lecturer
Department of Smart Computing and Cyber Resilience
  • School of Computing and Artificial Intelligence
Faculty of Engineering and Technology
SDGs Focus

Biography

Yee Chee Hoong brings a distinctive value proposition to academia by seamlessly integrating over 30 years of IT industry depth with active academic engagement. As a practitioner-scholar, he bridges the gap between foundational computation and cutting-edge, AI-driven solutions to enhance students' industry readiness. His teaching experience includes delivering MBA Information Technology and core undergraduate Artificial Intelligence and Computer Science courses, and he is well-suited to facilitate these subjects. Globally adaptable, he embeds real-world strategic business acumen and tacit knowledge into structured learning experiences. Professionally, he has held executive roles such as Vice President, Program Manager, and Operations Manager, leading high-impact initiatives for publicly listed companies and government agencies across diverse sectors, including stock broking, telecommunications, airlines, national rice production, and public procurement. Notable milestones include implementing Enterprise Resource Planning systems (SAP and Oracle), the Road and Transport System for the Ministry of Transport in Bangladesh, the SAS Executive Dashboard, telecommunications BSS/OSS solutions, managing government procurement programs for the Kingdom of Saudi Arabia, and managing the delivery of departure control systems, e-ticketing and reservation systems for airlines worldwide.

Academic & Professional Qualifications

  • Doctor of Philosophy in Computer Science (Artificial Intelligence), Universiti Malaya-Wales, Malaysia (2026)
  • Master of Business Administration (E-Commerce), Charles Sturt University, Australia (2003)
  • NCC Diploma (Business Computing), Kolej Damansara Utama, Malaysia (1989)

Research Interests

  • Machine Learning in Energy Consumption
  • Machine Learning in Energy Theft Detection
  • Blockchain and Machine Learning in Energy Trading
  • IoT and Smart Home

Teaching Areas

  • Data Structures and Algorithms
  • Computer Organisation and Operating Systems
  • Network Principles
  • Project Management
  • Artificial Intelligence Application

Courses Taught

  • Data Structures and Algorithms
  • Computer Organisation
  • Network Principles

Notable Publications

  • Bayesian and Box-Behnken Design for XGBoost Hyperparameters on Energy Consumption Profile Model Optimisation - SDG 7 and SDG 13
  • Machine Learning Framework Integrating Features Selection and Gauss-Markov Linearity Assumptions for Identifying Appropriate Energy Theft Detection Modelling - SDG 7 and SDG 13

Achievements & Accolades

  1. Implemented SAP R/3 for 3 Telecommunication Companies
  2. Programme-managed and delivered a system blueprint for BERNAS Berhad
  3. Project-delivered a Road and Transport System for the Bangladesh Government
  4. Programme-managed e-Ticketing, Departure Control System and Reservation System for Malaysia Airline System
  5. Project-managed Oracle ERP for Port Tanjung Pelepas
  6. Project-managed and delivered the Barter Exchange system for 12 operating countries in Microsoft Azure
  7. Programme-managed the implementation of a Business Intelligence Executive Dashboard solution for MMC Berhad
  8. Received Best Paper Award for Springer Paper Publication