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Prof. Kin Hon TAI, Samson

Professor of Practice
Finance Discipline
Department of Accountancy, Economics and Finance

samsontai@hkbu.edu.hk
3411 7981
WLB 819
https://orcid.org/0009-0009-3403-6080
Kin Hon Samson TAI public CV

Ir Prof. Samson Tai is Professor of Practice at Hong Kong Baptist University. In addition to his faculty role, he serves as a member of the Board of Directors at ASTRI and as Chairman of ASTRI FinTech Limited in Hong Kong. Prior to joining HKBU, Prof. Tai was the Chief Technology Officer (CTO) at IBM Hong Kong, where his exceptional contributions earned him the title of IBM Distinguished Engineer in 2013.

Prof. Tai actively participates in multiple technical committees spanning government, academia, and industry organizations. He holds a Bachelor's degree in Computer Science, as well as a Master's and a Doctorate degree in Business Administration. Prof. Tai is a Chartered Engineer (CEng MIET), and a member of The Hong Kong Institution of Engineers (MHKIE).

Prof. Tai's research interest revolves around exploring and implementing the practical applications of big data analytics and artificial intelligence (AI) to effectively address the complex business challenges encountered in a range of industries (Finance, Retail and Engineering).

Ir Prof. Tai brings extensive experience in teaching machine learning and data analytics at both undergraduate and postgraduate levels at HKBU. His recent courses include:

  • FINE4026 FinTech for Banking and Finance
  • FIN7880 Data-Driven Decision with Big Data and AI
  • FIN7790 Machine Learning for Financial Market Modelling and Analysis

BA in Computer Science, York University 

MBA, Hong Kong Baptist University 

DBA, Hong Kong Baptist University 

Environmental awareness in machines: a case study of automated debris removal using Generative Artificial Intelligence and Vision Language Models

Chan, J. P. C., Ho, H. M. H., Wong, T. K., Ho, L. Y. L., Cheung, J. &Tai, S.,10 Dec 2024,In:HKIE Transactions Hong Kong Institution of Engineers.31,4,11 p., 2024005.
Research output : Contribution to journal › Journal article › peer-review

Towards Machine Learning-based Model Predictive Control for HVAC Control in Multi-Context Buildings at Scale via Ensemble Learning

Deng, Y., Liu, Y., Liang, R., Xie, D., Zhao, D., Taniguchi, I.,Tai, S.& Wang, D.,29 Oct 2024,BuildSys '24: Proceedings of the 11th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation.New York:Association for Computing Machinery (ACM),p. 231–2322 p.(Proceedings of the ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation).
Research output : Chapter in book/report/conference proceeding › Conference proceeding › peer-review

BuildProg: Program Generation for Testing ML-based Building Load Forecasting models via LLM and Prompt Engineering

Deng, Y., Xie, D., Liang, R., Zeng, J.,Tai, S. K. H.& Wang, D.,29 Oct 2024,BuildSys '24: Proceedings of the 11th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation.New York, N:Association for Computing Machinery (ACM),p. 248-2492 p.(BUILDSYS BuildSys: Systems for Energy-Efficient Buildings, Cities, and Transportation).
Research output : Chapter in book/report/conference proceeding › Conference proceeding › peer-review

Demo: Towards Deploying ML-based Load Forecasting Models for Building HVAC System: an AI Evaluation Platform

Deng, Y., Xie, D., Zeng, J., Liang, R., Fan, J., Zhang, Y.,Tai, S.& Wang, D.,21 May 2024,e-Energy '24: Proceedings of the 15th ACM International Conference on Future and Sustainable Energy Systems.1st ed.Association for Computing Machinery (ACM),p. 488–4892 p.
Research output : Chapter in book/report/conference proceeding › Conference proceeding › peer-review

Cryptocurrency Research in the Field of Information Systems: A Literature Review and its Implications for Sharing Economy Research

So, B. T. K.,Cheung, C. M. K.&Tai, S. K. H.,3 Jan 2023,Proceedings of the 56th Annual Hawaii International Conference on System Sciences, HICSS 2023.Bui, T. X. (ed.).University of Hawaii at Manoa,p. 636-64510 p.(Proceedings of the Annual Hawaii International Conference on System Sciences; vol. 2023-January).
Research output : Chapter in book/report/conference proceeding › Conference proceeding › peer-review

BaiTest: A Platform for AI Evaluation in Smart Buildings

Grant Awarded: HK$4,025,000.00

Wang, D. (PI) & TAI, K. H. S. (CoPI)

Award date: 8/02/23

ITC-Innovation and Technology Commission

 

REVOMED LIMITED

Grant Awarded:  HK$400,000.00

TAI, K. H. S. (PI)

Award date: 1/04/26

ITC-Innovation and Technology Commission

 

Scaling up decarbonisation through voluntary, AI-assisted simplified energy auditing (AI-SEA) in the residential sector in Hong Kong

Grant awarded: HK$994,540

Principal Investigator: D. Mah (HKBU), in collaboration with R. Chen (HKBU), D. Cheung (HKBU), M. Leung (CityU), S. Tai (HKBU), Sun-Jin Yun (Seoul National University); Study period: October 2026 - September 2028 (24 months)

Research Grant Council’s General Research Fund

 

Empowering Net-Zero Cities: Unleashing the Full Potential of Smart Data-Enabled Networks and Scalability from energy communities – A Comparative Study of Urban Living Labs (ULLs) in Hong Kong, Seoul, and Bristol” (Project Ref.: 12612825)

Grant awarded: HK$1,299,210

Principal Investigator: D. Mah (HKBU), in collaboration with D. Cheung (HKBU), B. Choi (HKBU), K. Chun (University of the West of England, UWE), T. Fung (HKBU), L. Fogg-Rogers (UWE), H. Kim (Korea Advanced Institute of Science & Technology, KAIST), K. C. Kwok (HKBU), M. Leung (CityUHK), A. Lo (York St. John), L, B. McLellan (Kyoto University),  L. Rodrigues (University of Nottingham), A. Siu (Stanford University), S. Tai (HKBU), P. Wong (Lingnan University), Sun-Jin Yun (Seoul National University);

Study period: July 2025 - December 2027 (30 months). 

Research Grant Council's General Research Fund

Inventions Geneva Gold Award

TAI, K. H. S.(Recipient),22 Mar 2021
Prize : Award