Translational Research Grant 2021 Opening

SDEC Translational Research Grant aim to accelerate the translation and commercialization of research outputs to support the new economy through the creation of deep-tech companies in Sarawak.

Introduction

Translational research is a research that produce outcomes that will benefit or have an impact to the public and private sectors as well as the communities. As one of the underlying components in Sarawak Digital Economy Strategy, the state is focusing on enhancing the inculcation of research, innovation and commercialization amongst the institute of higher learning in Sarawak. 

Objective

SDEC Translational Research Grant is established to spur research and development activities that are aligned with the Sarawak Digital Economy Initiative. It is focusing on translational research and innovation that will have direct impacts to the Sarawak communities.

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Result Announcement

List of awarded research projects for Translational Research Grant 2021:

Digital Cluster Title of Research Project Principle Investigator University
Fintech
Financial Literacy and Inclusion Digital Index (FLIDI) in Sarawak & Mobile Banking for Smart Communities
Dr. Azilawati Banchit
UiTM Samarahan
Fintech
Artificial Intelligence for On Demand Insurance Recommendation
Dr Joel Than Chia Ming
Swinburne
Advance Visualization and Simulation
Interactive Mixed Reality Application of Natural Attractions in Sarawak for Persons with Disabilities
Prof. Dr. Firdaus Abdullah
UiTM Samarahan
Advance Visualization and Simulation
The Development of Performance Competency Index in Small Medium Enterprises in Sarawak
Dr. Abang Azlan Mohamad
UNIMAS
Advance Visualization and Simulation
Automated Classification and Counting of Vehicles Using Deep Learning Approach for Road and Transport Management
Associate Prof. Dr. Johari Abdullah
UNIMAS
Advance Visualization and Simulation
Post COVID-19 Future Tourism Development in Sarawak
Prof. Dr. Lo May Chiun
UNIMAS
Blockchain
Musang King Durian Tracing, Tracking and Species Recognition in Supply Chain System using Blockchain and Computer Vision for Cross-Border Trade
Dr. Alan Ting Huong Yong
UTS
Software Development
Artificial Intelligence Healthcare Platform (AI-HP) for Medical Data Generation and Explainable Disease Prediction
Dr. Brian Loh Chung Shiong
Swinburne
Big Data and Data Science
Aggregate risk projection modelling using explainable artificial intelligence and development of a subscription-based online toolkit for personalized early appraisal of prevalent cancers in Sarawak
Prof. Dr. Edmund Sim Ui Hang
UNIMAS
Big Data and Data Science
Precision Stingless Bee Farming
Prof Madya Dr. Leong Siow Hoo
UiTM Samarahan
Big Data and Data Science
Smart Waste Collection System with Intelligent Data Optimization
Mr. Sim Kwan Hua
Swinburne
Big Data and Data Science
A Deep Learning Based Application for Asset Pricing and Portfolio Optimization Incorporating Option Valuation
Dr. Changyong Zhang
Curtin
Cyber Security
A software vulnerabilities detection tool based on a graph neural network with graph-based feature representations.
Dr. Kelvin Yong Sheng Chek
Swinburne
Cyber Security
Enabling deep-learning accelerated intrusion detection in the space of Internet of Things
Dr. Jason Yong Hsien Ming
Swinburne
Internet-of-Things (IoT)
Application of Visual Interactive as Extended Reality for Rural Tourism Liberation through Augmented Reality Off-Line Device System 
Doris Anak Maying
UNIMAS
Internet-of-Things (IoT)
IoT Monitoring System for Soft-Shell Crab Farming
Prof. Dr. Khong Heng Yen
UiTM Samarahan
Internet-of-Things (IoT)
IoT-based laser glucometer for non-intrusive diabetes screening
Ir. Dr. Khairul Fikri bin Tamrin
UNIMAS
Internet-of-Things (IoT)
Home Physiotherapy Monitoring using Inertial Measurement Units to Reduce Spread of COVID- 19
Dr. Han Yi Chiew
Curtin
Robotics and Automation
Hybrid Smoked Fish System for Sustainable Cottage Fisheries Industries
Dr. Abang Mohammad Nizam bin Abang Kamaruddin
UNIMAS
Robotics and Automation
Development of Automated UAV-based Parking Enforcement and Monitoring System
Ir. Dr. Hudyjaya Siswoyo Jo
Swinburne
Robotics and Automation
Design and Development of AGV-based IoT Solution for Greenhouse Environmental Monitoring
Dr. Lai Chean Hung
Swinburne