Yew Haur Lee

Associate Professor Lee Yew Haur

Director

Business Intelligence & Analytics

Tel: +65 6248 5950

Email: bGVleWhAc3Vzcy5lZHUuc2c=

Educational Qualifications

  • 1998

    PhD in Statistics, Virginia Polytechnic Institute & State University (Virginia Tech)

  • 1995

    Master in Statistics, Virginia Polytechnic Institute & State University (Virginia Tech)

  • 1991

    B. Soc. Sci (Honours) in Economics (Statistics Stream), National University of Singapore

Academic and Professional Experience

  • 2022 – Current

    Associate Professor & Director, Business Intelligence & Analytics, SUSS

  • 2021 – 2022

    Associate Professor & Deputy Director, Business Intelligence & Analytics, SUSS Associate Professor, School of Business, SUSS

  • 2011 - 2018

    Associate Professor & Head of Business Analytics Programme, School of Business, SUSS

  • 2009 - 2011

    Senior Lecturer, SIM University

  • 2004 - 2009

    Senior Consultant, SAS Institute

  • 1998 - 2004

    Principal Engineer, TECH Semiconductor

  • 1993 - 1998

    Graduate Assistant, Virginia Tech

  • 1991 - 1993

    Assistant Treasurer, DBS Bank

Lee, Y. H., & Ho, Y. Y.
“Using Analytics to Select and Track At-Risk Students for Targeted Interventions”.   The Asian Conference on Education (ACE2011), Tokyo, Japan, Nov 15-28, 2021.

Chong, S., Lee, Y. H., & Tang, Y. W.
“Data Analytics and Visualization to Support the Adult Learner in Higher Education”.  The 4th International Conference on E-Society, E-Education and E-Technology (ICSET 2020 Ming Chuan University, Taiwan, Aug 15 – 17, 2020.

Lee, Y. H., Chong, S., & Tang, Y. W.
“Early Alert Of The Academically At-Risk Adult Learner In Higher Education”,  The 11th International Conference on Education and New Learning Technologies, Palma de Mallorca, Spain, Jul 1 – 3, 2019.

Lee, Y. H. & Chong, S.
“Identification of adult learners’ at-risk factors in the first semester by mining enrolment data”, The Asian Conference on Education, Kobe, Japan, Oct 19-22, 2017.

Yuen, K. & Lee, Y. H.
“Towards a Students Admission Selection Approach Using PROMETHEE II”, International Conference on Engineering, Technology and Education, Wollongong, NSW, Australia, Dec 4-7, 2018.

  • SPSS Singapore - Associate Consultant
  • Danfoss - Data Analysis/Project Consultant
  • Public sector entity - Data Mining Consultant
  • Commercial pharmaceutical company - Forecasting Consultant
  • Commercial logistic company - Business Intelligence Consultant

Applications of Statistics and Data Mining in Manufacturing; Text Mining; Business Forecasting; Design of Experiment: Linear Models.

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