Computational Modelling (COMO)

Computational Modelling Research Group
Computational Modelling Research Group aims to establish research collaboration with industry on topics motivated by industrial applications and to provide assistance to industry. The research areas include but not limited to disease modelling, pollution dispersal, thread annular flow, main power scheduling and statistical modelling. The research works will serve as a bridge that connects computing and mathematics technology with the sciences.
 
Computational Epidemiology Research Group
Computational Epidemiology Research Group aims to complement the investigation of disease outbreaks by utilizing mathematical computational approaches to understand the epidemiology trend and to provide useful epidemiological data for public health management of the outbreak.

Covid-19 Disease Modelling Tool: COVID-MYSim

RESEARCHERS OF COMPUTATIONAL MODELLING (COMO) GROUP

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Dr Phang Piau
pphang@unimas.my
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Ts. Dr Hamimah Ujir
uhamimah@unimas.my
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Dr Nuha Loling Othman
lonuha@unimas.my
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Dr Tiong Wei King
wktiong@unimas.my
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Mr Terrin Lim
terrin@unimas.my
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Miss Ling Yeong Tyng
ytling@unimas.my
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Dr Izzatul Nabila Sarbini
sinabila@unimas.my
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Dr Sze Jeeu Fong
jfsze@unimas.my

1. Quantifying Fear Factor bo be used in Diesease Modeling (Miss Ling Yeong Tyng)

2. Application of Second Hadamard Variation to a Dam / Filtration Problem (Dr Nuha Binti Loling Othman)

3. A new mathematical model with lifestyle behavioral changes on early atherosclerosis for modulating cardiovascular disease risks (Dr Phang Piau)

4. Strengthening the curriculum of Computational Science program through SoTL approach (Dr Phang Piau)

5. Manpower Rostering at A Large International Airport (Dr Sze San Nah)

6. Supply uncertainty and surveying process in modelling empty containers repositing at regional level (Dr Sze San Nah)

7. Optimisation of University Multisession Timetabling Problem (Dr Sze San Nah)

8. Queing Characteristic Study for Public Healthcare: A Case Study of Hospital Duchess of Kent (Dr Sze San Nah)

9. Integrating Drone Technology in Digital Making Education and Its Impact on Digital Making Learning (Dr Sze San Nah)

10. The effect of damping on the evolution of large-amplitude undular bores (Dr Tiong Wei King)

11. Modelling the spread of Leptospirosis disease by incorporating the behaviours of rodents and human (Dr Tiong Wei King)

12. Exploring a Network-based Visual Representation of Printed Historical Data (Mr Terrin Lim)

13. Analysis of shape Distortion Leading to 2D Shape Preservation for Image Stitching (Mr Terrin Lim)

14. A Response to COVID-19 Pandemic: Assessing New Alternative Internship Tracks in UNIMAS (Mr Terrin Lim)

15. Modeling the Spread of Hands, Foot and Mouth Disease in Sarawak with Climatic Dependent Transmission Coefficient (Associate Professor Dr Jane Labadin)

16. Network based modelling of Malaria transmission (Associate Professor Dr Jane Labadin)

17. 3D Wind Predection Within Sarawak Highlands (Associate Professor Dr Jane Labadin)

18. Computational Study on 3D Wind Profile in Terrains (Associate Professor Dr Jane Labadin)

19. Generic Transmission Model for Mosquito-Borne Diseases (Associate Professor Dr Jane Labadin)

20. Computational approach to predicting the spread of Dengue (Associate Professor Dr Jane Labadin)

21. Decision Analytics for Disease Alerts (Associate Professor Dr Jane Labadin)

22. Identifying New COVID-19 Cluster as Means of Preventive Measures (Associate Professor Dr Jane Labadin)

23. Bipartite Network-based Dengue Hotspot Detector (Associate Professor Dr Jane Labadin)

24. Evaluation of Existing 3D Facial Features Performance For 3D Facial Expression Using UPM-3DFE Database (Ts. Dr Hamimah Binti Ujir)

25. 3D facial features tracking for 4D expression intensity estimation (Ts. Dr Hamimah Binti Ujir)

26. Comparative Analysis 3D Faces based on Expression Intensity information of Malaysian Ethnics Data (Ts. Dr Hamimah Binti Ujir)

27. Academic Quality Assurance Implementation in UNIMAS (Ts. Dr Hamimah Binti Ujir)

28. Surface and Subsurface Flow in Flood Monitoring (Dr Izzatul Nabila Binti Sarbini)

POSTGRADUATES STUDENTS

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Golam Morshed
gmniyal@gmail.com
Ts. Dr Hamimah Ujir (Supervisor)
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Izzah Nilamsyukriah Binti Buang
ins6728@gmail.com
Ts. Dr Hamimah Ujir (Supervisor)
Dr Jacey-Lynn Minoi (Co-Supervisor)
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Chong Jia Wen
alenchong0312@gmail.com
Dr Tiong Wei King (Supervisor)
Assoc. Prof. Dr Jane Labadin (Co-Supervisor)
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Chen Mei Ching
meiching.jennychen@gmail.com
Dr Sze San Nah (Supervisor)
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Doreen Sek Siaw Ying
doreenying92@gmail.com
Dr Sze San Nah (Supervisor)
Dr Tiong Wei King & Dr Sze Jeeu Fong (Co-Supervisor)
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Nur Asheila Binti Abdul Taib
ellataib@ymail.comv
Assoc. Prof. Dr Jane Labadin (Supervisor)
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Hong Boon Hao
wenhao0117@hotmail.com
Assoc. Prof. Dr Jane Labadin (Supervisor)
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Hooi Mun Hoe
reyonhooi@gmail.com
Dr Tiong Wei King (Supervisor)