Departmental Events

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  • 05 MAY 2020 Research Seminars
    Mr. Kang Kai

    Mr. Kang Kai

    Date:

    May 5,2020

    Time:

    12:05 pm

    Synchronization in construction supply chain management

  • 05 MAY 2020 Research Seminars
    Mr. Huang Zhiyi

    Mr. Huang Zhiyi

    Date:

    May 5,2020

    Time:

    11:45 am

    Reliability Modeling, Testing and Optimization for Multi-Component Systems under Stochastic Degradation Propagation

  • 05 MAY 2020 Research Seminars
    Miss Gu Chun

    Miss Gu Chun

    Date:

    May 5,2020

    Time:

    11:25 am

    Correlations of China’s financial system

  • 05 MAY 2020 Research Seminars
    Miss Dai Yaqi

    Miss Dai Yaqi

    Date:

    May 5,2020

    Time:

    11:05 am

    Shader Optimization for Modern Game Engine

  • 05 MAY 2020 Research Seminars
    Miss Chan Ka Lam

    Miss Chan Ka Lam

    Date:

    May 5,2020

    Time:

    10:45 am

    Returns to Investment in Virtual Reality (VR): project (e)valuation in Hong Kong

  • 05 MAY 2020 Research Seminars
    Mr. Cai Yiji

    Mr. Cai Yiji

    Date:

    May 5,2020

    Time:

    10:25 am

    Impacts of trade wars on global supply chain configuration: a case of smartphones

  • 05 MAY 2020 Research Seminars
    Mr. Shen Chuanfu

    Mr. Shen Chuanfu

    Date:

    May 5,2020

    Time:

    10:05 am

    Mixed reality-based incentive gamification system for warehouse

  • 05 MAY 2020 Research Seminars
    Mr. Wu Haoye

    Mr. Wu Haoye

    Date:

    May 5,2020

    Time:

    9:45 am

    Towards Smart Construction Industry 4.0 based on blockchain-enabled cyber

  • 05 MAY 2020 Research Seminars
    Mr. Rachana Harish Arjun

    Mr. Rachana Harish Arjun

    Date:

    May 5,2020

    Time:

    9:25 am

    Blockchain-enabled Digital Asset valuation and risk assessment for Logistics Financing

  • 05 MAY 2020 Research Seminars
    Mr. Chan Cheuk Pong

    Mr. Chan Cheuk Pong

    Date:

    May 5,2020

    Time :

    9:05am

    Reconstructing indoor 3D scene from RGB panorama image with a deep learning approach