Award & Achievements
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AWARD & ACHIEVEMENTS
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Bronze medal in Salon International Des Inventions Geneva 2024
: Bronze medal: -: Salon International Des Inventions Geneva: AR Smart Headset with Gesture Recognition and Control: Lee C.K.M., Chung K.T. & Ng C.K.: - -
1st Place Winner in 2023 IEOM(Lisbon) Undergraduate Research Competition
: 1st Place Winner: -: 6th European International Conference on Industrial Engineering and Operations Management, Lisbon, Portugal, 2023: Study of how the experience and behaviour of consumers are affected by user experience (UX) design in the online fashion retailing industry: AU M.Y., YOUNG A.T.T., YEH M.W. & LEE C.K.M: Undergraduate Research Competition -
1st Place Winner in 2023 IEOM(Lisbon) Undergraduate Student Paper Competition
: 1st Place Winner: -: 6th European International Conference on Industrial Engineering and Operations Management, Lisbon, Portugal, 2023: Evaluating the effectiveness on AR filters: The mediating role of technology acceptance, customer satisfaction, loyalty, and behavioral intention: Young A.T.T., Au M.Y., Luk K.T. & Lee C.K.M.: Undergraduate Student Paper Competition -
2022-2023 Champion award: Undergraduate Level Paper Competition, Control Automation and Instrumentation Division and Institute of Measurement and Control, The Hong Kong Institution of Engineers (HKIE)
: Champion Award: -: Control Automation and Instrumentation Division and Institute of Measurement and Control, The Hong Kong Institution of Engineers (HKIE): Collision Avoidance and Trajectory Tracking for Multiple Autonomous Mobile Robots in Robot Operating System: Cheung Ho Hin, Au Mei Yan, Young Tsz Ting, Cheung Sze Tung & Lee C.K.M.: Undergraduate Level Paper Competition -
2022/23 Champion award: Post-graduate Level Paper Competition, Control Automation and Instrumentation Division and Institute of Measurement and Control, The Hong Kong Institution of Engineers (HKIE)
: Champion Award: -: Control Automation and Instrumentation Division and Institute of Measurement and Control, The Hong Kong Institution of Engineers (HKIE): Accurate Machining Cycle Time Preduction of UPM using Data-Driven model: Zhu Tong, Lee C.K.M. & To Sandy: Post-graduate Level Paper Competition
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