Fong Pui Kwan



Salutation
Dr

School/Centre
School of Business and Technology

Department
Digital Health and Health Informatics (DHHI)

Position
Senior Lecturer




Education

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Doctor of Philosophy (Intelligent System), 2016 University Malaysia Sarawak
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Bachelor of Science (Hons) Cognitive Science (Cognitive Science), 2012 University Malaysia Sarawak

Memberships

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Association for Computing Machinery Member 2018 - 2019

Research Funding
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Optimising Antibiotic Prescribing Practices through Data-Driven Strategies: A Comprehensive Analysis of Monthly Medication Data in Clinical Settings IMU Internal Research Grant | 28 May 2024 - 31 Dec 2024
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Enhancing Heart Disease Prediction through Feature Engineering Techniques: A Machine Learning Approach IMU Internal Research Grant | 28 May 2024 - 31 Dec 2024
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Machine Learning Classification of Suicide Risk based on Psychological Indicators and Symptoms of Excessive Daytime Sleepiness IMU Internal Research Grant | 28 May 2024 - 31 Dec 2024
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Application of Transfer Learning in Auto-codification of International Classification of Disease 10th Revision (ICD-10) Coding for Medical Diagnosis in Malaysia IMU Internal Research Grant | 11 Mar 2023 - 30 Apr 2024
a
Logistic Classification in Diagnosing Acute Functional Impairment in Men with Major Depression IMU Internal Research Grant | 11 Mar 2023 - 31 Dec 2023

Publications

Research Articles

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Modelling complex features from histone modification signatures using genetic algorithm for the prediction of enhancer region BIO-MEDICAL MATERIALS AND ENGINEERING 2014

Other Publications

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An Investigation on the Effectiveness of OpenCV and OpenFace Libraries for Facial Recognition Application Advances in Computer, Communication and Computational Sciences: Proceedings of IC4S 2019 | 01 Jan 2021
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Improved H3K27ac histone mark prediction using k-mer proximity feature 2015 9th International Conference on IT in Asia (CITA) | 01 Jan 2015
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Employing genetic algorithm to construct epigenetic tree-based features for enhancer region prediction Neural Information Processing: 21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014. Proceedings, Part III 21 | 01 Jan 2014


Supervisions
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Pravina A/P Ellambarathi & Wong Zi Yang | Undergraduate | 01 Feb 2025 - 30 Jun 2025 Thesis: Machine Learning-Based Prediction of Chemical Compounds Aqueous Solubility in Drug Discovery
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Shanureedha A/P S.Manivelan | Undergraduate | 27 Aug 2024 - 30 Jun 2025 Thesis: Interactive Dashboard for Monitoring Child Nutrition and Addressing Malnutrition
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Lim Mei Qi | Undergraduate | 26 Aug 2024 - 30 Jun 2025 Thesis: Data Cleaning and State Legislative Assembly Identification for Selangkah User Addresses
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Wilson Ling Xing Yong | Undergraduate | 26 Aug 2024 - 30 Jun 2025 Thesis: Improvement of Admission Time for Patients to Hospitals in Accidents by Paramedics
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Bashobhini A/P Suresh Kumar | Master (Coursework) | 01 Mar 2024 - 31 Dec 2024 Thesis: Enhancing Heart Disease Prediction through Feature Engineering Techniques: A Machine Learning Approach
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Lau Xiao En | Master (Coursework) | 01 Mar 2024 - 31 Dec 2024 Thesis: Machine Learning Classification of Suicide Risk based on Psychological Indicators and Symptoms of Excessive Daytime Sleepiness
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Lee Sin Yee | Master (Coursework) | 01 Mar 2024 - 31 Dec 2024 Thesis: Optimising Antibiotic Prescribing Practices through Data-Driven Strategies: A Comprehensive Analysis of Monthly Medication Data in Clinical Settings
a
Muhammad Naufal bin Nordin | Master (Coursework) | 11 Mar 2023 - 31 Dec 2023 Thesis: Application of Transfer Learning in Auto-codification of International Classification of Disease 10th Revision (ICD-10) Coding for Medical Diagnosis in Malaysia
a
Loh Ming Hui | Master (Coursework) | 11 Mar 2023 - 31 Dec 2023 Thesis: Logistic Classification in Diagnosing Acute Functional Impairment in Men with Major Depression
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Lau Siew Chui | Master (Mixed Mode) | 15 Jun 2022 - 31 Jan 2023 Thesis: Perishable Product Demand Forecast for E-commerce