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Supervision

Supervision

::Current Students (PhD)::

  1. Li, Hongxiang. On two new perspectives in the statistical modelling of RNA-Seq data (submitted).
  2. Cui, Zhuang. Statistical analysis of microbiome data.
  3. Tang, Ni. Statistical analysis of single cell RNA-Seq data.
  4. Kok Yew, Ngew. Network analysis for precision medicine.
  5. Phan, Chin Lee. Genomic characterisation of adult Philadelphia-positive acute lymphoblastic leukemia (ALL). Joint supervision with Ching Ching Ng.

::Current Students (MSc by research)::

  1. Khor, Zhi Shan. An explainable machine learning model for fly species identification through Elliptic Fourier Transform analysis of wing cell compartments.

::Current Students (MSc by coursework)::

  1. Mad Dahhar, Suci Aida. Machine learning identification of geographical origins of English and Malay language speakers in Malaysia using accent data.

::Past Students (PhD)::

  1. Lee, Bernard Kok Bang. (2020). Mining and integration of oral cancer genomics for predictive therapeutics. Joint supervision with Sok Ching Cheong.
  2. Low, Joel Zi-Bin. (2020). Computational tools and methods for analysis of Elaeis guineensis (oil palm) biology. Joint supervision with Jennifer Ann Harikrishna and Martti T. Tammi.
  3. Soo, Michelle Oi Yoon. (2015). Systematic biology of four-anchored monogeneans (Family: Ancyrocephalidae) with special emphasis on the genus Ligophorus Euzet & Suriano, 1977 in Peninsular Malaysia. Joint supervision with Lee Hong Susan Lim.

::Past Students (MSc by research)::

  1. Ling, Min Hao. (2024). Accurate identification of thirteen fly species from three families using wing venation patterns with machine learning approaches.
  2. Goh, Jia Yin. (2021). Predictive analytics of breast cancer using digital mammograms.
  3. Lau, Ching Yee. (2018). Identification of human neurodegenerative disease-associated pathways and network using transcriptome analysis.
  4. Eeo, Jun Jie. (2018). Cyclical development and community structure of the intertidal polychaete reefs in the Jeram mudflat, Peninsular Malaysia. Joint supervision with A. Sasekumar, Ving Ching Chong and Amy Yee Hui Then.

::Past Students (MSc by coursework)::

  1. Su, Anselm Ting. (2024). Understanding workplace bullying in Malaysia: A decision tree approach.
  2. Chin, Mee Ling. (2024). Sales analytics in e-commerce data: A case study of the Brazilian Olist store.
  3. Choo, Eih Shin. (2024). Next purchase analysis using machine learning methods: A case study of the H&M store data.
  4. Lot, Hasnor. (2024). A decision tree approach for heart disease predication using the Behavioral Risk Factor Surveillance System data.
  5. Zhao, Xiu. (2024). On the prediction of mental health status using psychological, physiological and sociodemographic variables.
  6. Fan, Chin Yik. (2023). Estimating customer lifetime value for an online maternity product store.
  7. Wan, Veng Fung. (2023). Predictive analytics for transportation data: A case study of the New York Taxi and Limousine Commission dataset.
  8. Lim, Kah Xuan (2022). On the recognition of Chinese calligraphy characters using classical and deep learning approaches.
  9. Ram Singh, Ruby Devi. (2022). Assigning taxonomic domain and organelle type using codon composition data: A machine learning approach.
  10. Zhang, Leilei. (2022). An empirical study of the efficacy of correcting batch effects in RNA-Seq gene expression data using COMBAT-Seq.
  11. Chin, Mun Kit (2021). Unsupervised segmentation of credit event data: A case study using the German Credit Data.
  12. Chee, Wei Yau. (2021). Understanding post-Chernobyl radiocaesium contamination in the United Kingdom: a data science approach.
  13. Lau, Chia Chong. (2021). Predictive maintenance using the attention model in deep learning.
  14. Mohamed, Nurul Alia. (2021). Risk factors for cervical cancer: a classification and regression tree approach using GUIDE.
  15. Sun, Mengyuan. (2021). Detecting credit card fraud using machine learning methods.
  16. Tan, Keok Hua. (2021). Continuous vector representation in recommendation system: a case study using the Amazon reviews dataset.
  17. Yu, Jing. (2021). Market segmentation analysis of e-commerce data from an online store.
  18. Wong, Tat Yau (2020). A Bayesian deep learning approach to image analysis using the variational autoencoder model.
  19. Chen Kah Wen. (2018). Predictive analytics for an auto insurance claim problem.
  20. Ngew, Kok Yew. (2017). Application of data mining in public health: the 2005-2015 US mortality data set.
  21. Lau, Xiao Hoong. (2017). Analysis of human tissue expression data and drug-target network.
  22. Leong, Foo Hoong. (2017). A data science approach in understanding factors associated with risk of human language extinction.
  23. Chow, Kingsley. (2012). A comparative study of two orthologous gene identification methods on synteny block inference.
  24. Cheong, Leng San. (2012). Reanalysis of public microarray data using gene set enrichment analysis: a case study using pancreatic cancer data.
  25. Kalafi, Elham. (2012). The efficacy of alignment-based and alignment-free methods in reconstructing phylogenetic trees using complete mitochondrial DNA sequence.
  26. Kok, Eng Piew. (2012). Peculiar feed forward loop network motifs in Escherichia coli.
  27. Ramarao, Sri Devi. (2012). Bioinformatic analysis of degradome data from African oil palm (Elaies guineensis Jacq.) inflorescence. Joint supervision with Jennifer Ann Harikrishna.
  28. So, Wei Huo. (2012). An empirical assessment of the bootstrap support as an indicator of robustness in phylogenetic trees.

::Past Students (Undergraduate Honours Project)::

  1. Hamdan, Syahirah. (2017). Specific PCR amplification of the leptin (LEP) gene for detection of porcine contamination in food products. Joint supervision with Mohamed Zulqarnain.
  2. Kwan, Pui Yoke. (2014). Meta-analysis of microarray gene expression data on pancreatic cancer.
  3. Lee, Jiek Ying. (2014). Bioinformatic analysis of the ARMS2-HTRA1 region in age-related macular degeneration.
  4. Lee, Pui Yeeng. (2014). Microarray data analysis of nasopharyngeal cancer.
  5. Chai, Jin Fang. (2013). RNA-Seq analysis of the transcriptome of activated and resting human primary CD4+ T cells.
  6. Chew, Sok Lim. (2013). Bioinformatic discovery of candidate single nucleotide polymorphisms in the genome of hepatitis B virus for predicting acuity and chronicity of infection.
  7. Gan, Sye Yiun. (2013). Gene Set Enrichment Analysis of pediatric acute lymphoblastic leukemia.
  8. Koh, Geok Ling. (2013). Euclidean distance matrix analysis of Ligophorus spp. (Monogenea: Ancyrocephalidae) using geometric morphometric data.
  9. Chin, Wan Ching. (2012). MOPHYTA: A bioinformatics resource for integrating taxonomic and phylogenetic information in Monogenea.
  10. Kuan, Jyn Ling. (2012). Principal component analysis of Bravohollisia spp. (Monogenea: Ancyrocephalidae) from Pomadasys hasta using classical and landmark-based geometric morphometric data.
  11. See, Choong Yin. (2012). Automated identification of Bravohollisia spp. (Monogenea: Ancyrocephalidae) using linear discriminant analysis.
  12. Koo, Xue Ying. (2011). Agreement analysis of several ocular biometry techniques.
  13. Lim, Alice Siu Ling. (2011). A preliminary assessment of the distribution of several ocular variables in the Malaysian population.