Biografi/ Biography :
Nor Hamizah Miswan bertugas sebagai pensyarah Statistik dan Data Sains di Jabatan Sains Matematik, Universiti Kebangsaan Malaysia. Beliau menerima PhD dalam Sains Komputer dari Universiti Malaya, pada 2022 dan juga ijazah sarjana dalam Matematik dari Universiti Teknologi Malaysia, pada 2013. Penyelidikan semasa beliau termasuk analisis ramalan menggunakan pembelajaran mesin, perlombongan data, dan analisis siri masa. Beliau amat berminat untuk mendalami serta mengaplikasikan pengetahuan analisis data dan statistik dalam menyelesaikan masalah sebenar.
Nor Hamizah Miswan is currently working as a lecturer of Statistics and Data
Science in the Department of Mathematical Science, Universiti Kebangsaan
Malaysia. She received her PhD in Computer Science from University of Malaya, in
2022 and also master’s degree in Mathematics from Universiti Teknologi Malaysia,
in 2013. Her current research includes predictive analytics using machine Learning,
data mining, and time series analysis. She is particularly interested in employing the
knowledge of data analytics and statistics in solving the real problem.
muhammad danial abdullah, wan rosmanira ismail, aishah najihah alias, nor hamizah miswan. (2024). efficiency and capacity of trawlers in west coast peninsular malaysia. - journal of quality measurement and analysis. 117-130.
sam oliver areh, nor hamizah miswan. (2024). arima models for kijang emas price forecasting: pre- and post-covid analysis. - malaysian journal of mathematical sciences. 127-140.
nor hamizah miswan, roslinda mohd nazar and chee seng chan. (2023). building interpretable predictive model for hospital readmission. - 5th international conference on mathematical sciences (icms5). 129.
nor hamizah miswan. (2023). estimating down time of glove dipping machines operation using exponential and weibull distributions. - journal of quality measurement and analysis. 155-162.
nor hamizah miswan. (2023). introduction to python. - . 1-13.
nor hamizah miswan, chee seng chan, chong guan ng. (2021). hospital readmission prediction based on improved feature selection using grey relational analysis and lasso. - grey systems: theory and application. 796-812.
nor hamizah miswan, ismat mohd sulaiman, chee seng chan, chong guan ng. (2021). association rules mining for hospital readmission: a case study. - mathematics. 1-21.
nor hamizah miswan, chee seng chan, chong guan ng. (2021). predictive modelling of hospital readmission: evaluation of different preprocessing techniques on machine learning classifiers. - intelligent data analysis. 1073-1098.
sam oliver areh, nor hamizah miswan. (2024). arima models for kijang emas price forecasting: pre- and post-covid analysis. - malaysian journal of mathematical sciences. 127-140.
nor hamizah miswan, chee seng chan, chong guan ng. (2021). hospital readmission prediction based on improved feature selection using grey relational analysis and lasso. - grey systems: theory and application. 796-812.
nor hamizah miswan, chee seng chan, chong guan ng. (2021). predictive modelling of hospital readmission: evaluation of different preprocessing techniques on machine learning classifiers. - intelligent data analysis. 1073-1098.
nor hamizah miswan, ismat mohd sulaiman, chee seng chan, chong guan ng. (2021). association rules mining for hospital readmission: a case study. - mathematics. 1-21.
rahaini mohd said, mohd ridzuan mohd kamal, nor hamizah miswan, s.j ng. (2018). optimization of moulding composition for quality improvement of sand casting. - journal of advance manufacturing technology. 301-310.
mohd hanif jifri, elia erwani hassan, intan azmira wan abd razak & nor hamizah miswan. (2017). time series performance for electricity load demand in johor. - proc. of the 2017 ieee region 10 conference (tencon). .
nor hamizah miswan. (2023). introduction to python. - . 1-13.
nor hamizah miswan, roslinda mohd nazar and chee seng chan. (2023). building interpretable predictive model for hospital readmission. - 5th international conference on mathematical sciences (icms5). 129.
| Projek / Project | Tempoh / Period | Peranan / Role |
|---|---|---|
| interpretable machine learning model using rule mining for hospital readmission prediction | 01-10-202330-09-2025 | Ketua Projek |