Professor Dr. Yap Bee Wah graduated with a BSc (Hons) (Mathematics Education) from University Sains Malaysia. She then obtained her Masters of Statistics degree from University of California, Riverside, USA and her PhD(Statistics) from University of Malaya. She recently joined UniTAR International University in 2021 and besides teaching, will spearhead the university research and consultancy unit.
Professor Dr. Yap Bee Wah was formerly a faculty member of the Center of Statistical and Decision Science Studies in Faculty of Computer and Mathematical Sciences (FSKM), Universiti Teknologi MARA. Her research interests are in Big Data Analytics, computational statistics and multivariate data analysis. Her research works are in healthcare, environment and business analytics She was the Head of Advanced Analytics Engineering Centre (AAEC), a Research Interest Group in Faculty of Computer and Mathematical Sciences (2016 – 2020). In February 2021, AAEC became a Centre of Excellence of UiTM with the name Institute of Big Data Analytics and Artificial Intelligence (IBDAAI). She is now the Principal Fellow of IBDAAI, UiTM. She is supervising five PhD students. She is an active researcher and has published papers in ISI journals such as Expert Systems with Applications Journal of Statistical Computation and Simulation, Communications in Statistics-Computation and Simulation and Journal of Clinical and Translational Endocrinology, and also in Scopus indexed journals. She is the Conference Chair of International Conference on Soft Computing in Data Science (2015-2019 & 2021). She is also one of the Editors of the SCDS conference proceedings published in Springer CCIS series and guest editor of Applied Soft Computing (Q1) journal.
She believes that education is a life-long journey and “Passion is the catalyst for perseverance and achievements”.
PROF. DR. YAP BEE WAH
PhD (Statistics), University of Malaya, Malaysia,MSc. (Statistics), University of California Riverside, USA.
BSc. (Education)(Hons.), University of Science, Malaysia
Specialization: Multivariate Data Analysis, Predictive Analytics, Statistical Modeling
E-mail:bee.wah@unitar.my
Phone: 012-6344464
Google scholar: Yap (Prof. Dr.) Bee Wah – Google Scholar
Scopus: Scopus preview – Yap, Bee Wah – Author details – Scopus
1. Pauzi, Nurul Azifah Mohd, Wah, Y.B., & Deni, Sayang & Rahim, Siti Khatijah, Suhartono. (2021). Comparison of Single and MICE Imputation Methods for Missing Values: A Simulation Study. Pertanika Journal of Science and Technology. 29. 10.47836/pjst.29.2.15.
2. Salim, N.A.M, Yap, B. W., Reeves,C., Smith,M. Wan Fairos, W. Y, Rose Nani, M., Rahmat, D., Nik Nur Fatin, F. S., Haque, U. (2021). Prediction of dengue outbreak in Selangor Malaysia using machine learning techniques. Sci Rep 11, 939 (2021). https://doi.org/10.1038/s41598-020-79193-2
3. Hezlin, A.A. R, Yap, B. W., S.H, Ong. (2021). Predictive Performance of Logistic Regression for Imbalanced Data with Categorical Covariate. Pertanika J. Sci. & Technol. 29 (1): 181 – 197.
4. Muhammad Hasbullah, M., R, Rizauddin, S., Yap,B.W., Ku Ruhana Ku-Mahamud. (2021). A class skew-insensitive ACO-based decision tree algorithm for imbalanced data sets. Indonesian Journal of Electrical Engineering and Computer Science, 21(1), 412-419.
5. Wan Fairos, W. Y., Nik Nur Fatin, F. S., Yap, B. W. (2020). Modeling Dengue Incidence in Southern Malaysia Using Fixed Effects Panel Count Model. Advances in Mathematics: Scientific Journal, Vol 9, 7341-7351.
6. Wan Fairos, W. Y., Nik Nur Fatin, F. S., Yap, B. W. (2020). Fixed Effects Panel Count Model for Modeling Dengue Incidence. Advances in Mathematics: Scientific Journal, Vol 9, 7331-7340.
7. Jamaludin, M. H.; Yap B.W., M Nawawi, H; Yung-An, Chua; Rosli, Marshima Mohd; Annamalai, M. (2020). Classification of Familial Hypercholesterolaemia Using Ordinal Logistic Regression. Pertanika Journal of Science & Technology, Oct2020, Vol. 28 Issue 4, p1163-1177.
8. Kamaruddin, A. A., Yap, B. W., & Deni, S. M. (2020). Effects on Parameter Estimates and Goodness of Fit Measures: Comparing Item-Level and Item-Parcel Models in Structural Equation Modeling. Pertanika J. Sci. & Technol. 28 (2): 627 – 647.
9. Mohamed, A., Najafabadi, M. K., Wah, Y. B., Zaman, E. A. K., & Maskat, R. (2020). The state of the art and taxonomy of big data analytics: view from new big data framework. Artificial Intelligence Review, 53(2), 989-1037.
10. Razali, S, Yap , B. W., Chua , Y. A., & M Nawawi, H. . (2020). Determinants for Healthy Lifestyle of Patients with Familial Hypercholesterolaemia . Environment-Behaviour Proceedings Journal, 5(14), 75-81. https://doi.org/10.21834/ebpj.v5i14.2335
11. Abdullah, M. N., Wah, Y. B., Zakaria, Y., Majeed, A. B. A., & Huat, O. S. (2019). Discovering potential blood-based cytokine biomarkers for Alzheimer’s disease using Firth Logistic Regression. Epidemiology, Biostatistics and Public Health, 16(4), 1-11.
12. Zeinab Jannoo, Bee Wah Yap, Naushad Mamode Khan, Alessio Farcomeni (2019).
Assessing Diabetes Distress Among Type 2 Diabetes Mellitus in Malaysia Using the Problem Areas in Diabetes Scale, Value in Health Regional Issues, 18, 159-164.
13. Mohd Said Syukri Morsid, Syeril Azira Jamaluddin, Nir Azima Hood, Norshahida Shaadanm Yap Bee Wah, Muthukkaruppan Annamalai (2019). Haze alarm Visual Map (HazeViz): An Intelligent Haze Forecaster. Buletin of Electrical Engineering and Informatics, 8(1), 305-312.
