ChM. Ts. Dr. Ong Song Quan

ChM. Ts. Dr. Ong Song Quan

Institut Biologi Tropika Dan Pemuliharaan, UMS

ChM Ts Dr Ong Song-Quan is a Senior Lecturer at the Institute of Tropical Biology and Conservation (ITBC), Universiti Malaysia Sabah. He is one of the pioneers in Malaysia using next generation technologies in precision biodiversity and digital health. In recent years, his research has focused on the digitisation of insect specimens, including a 3D model that can be used in a computer-generated environment such as virtual reality and the metaverse. His expertise extends to cross-disciplinary research that impacts the community, including the application of artificial intelligence and data analytics in biodiversity conservation and public health. He holds a PhD in Medical and Veterinary Entomology, a Masters in Molecular Entomology and a second Masters in Data Science and Analytics. As a data scientist, licenced chemist and medical entomologist, he is able to leverage the overlap between these disciplines and make a meaningful contribution to biodiversity conservation and public health. Dr Ong's research has been published in numerous publications including prestigious journals such as 'Parasites & Vectors', Nature Research's 'Scientific Report'/ 'Scientific Data', 'Pest Science Management', etc.

Contact Information

Academic Department

Institut Biologi Tropika Dan Pemuliharaan, UMS

Appointed Department

Institut Biologi Tropika Dan Pemuliharaan, UMS

Education

Sarjana Sains (sains Data & Analitis)

Universiti Sains Malaysia

2022

Doktor Falsafah (ph.d)

Universiti Sains Malaysia

2017

Sarjana Sains (entomologi Gunaan)

Universiti Sains Malaysia

2014

Sarjana Muda Sains Gunaan (kepujian)

Universiti Sains Malaysia

2010

Research Collaborators

Research

Projects

5

Active

5

Grants

RM 472,318.00


Research Interests & Expertise

Biological Sciences - Entomology (Including Insect Taxonomy, Insect Pathology and Insect Toxicology)

Publications

Total Publications by Year

NOTE: N/A = Data not available, 0 = Data not completed


Scopus Metrics

Scopus Profile

Documents

51

H-Index

12

Citations

419

Affiliation

Universiti Malaysia Sabah

Research listing

Current Research Projects

Prototype development of an automated system for the digitisation and analysis of data from a natural history collection (nhc)

Leader

2025 - 2027

Vector distribution and molecular characterization of japanese encephalitis virus (jev) in sabah, malaysia borneo

Leader

2025 - 2027

Development of an intelligent system to improve the rearing performance of black soldier fly larvae (bsfl) for animal feed production

Leader

2025 - 2027

Metabarcoding and functional analysis of gut microbiota in caste-specific workers of macrotermes gilvus.

Member

2024 - 2026

Promotion of sustainable green control technology for vector and pests in sabah/borneo malaysia

Leader

2023 - 2024

Publications listing

NOTE: PUBLICATION DATA FOR THE LAST 3 YEARS WILL BE DISPLAYED

Showing 1 to 10 of 20 entries

1.

Ong Song Quan (2025) , Mri-based Texture Analysis For Breast Cancer Subtype Classification In A Multi-ethnic Population

2.

Lee Ping Chin , Ong Song Quan , Syavia Daim @ Sylvia Jerome Daim (2025) , A Standardized Protocol For The Detection Of Arboviruses In Different Aedes Mosquito Species In North Borneo Sabah, Malaysia

3.

Ong Song Quan (2025) , Scannervision: Scanner-based Image Acquisition Of Medically Important Arthropods For The Development Of Computer Vision And Deep Learning Models

4.

Syavia Daim @ Sylvia Jerome Daim , Lee Ping Chin , Eric Chong Tzyy Jiann , Ong Song Quan (2025) , A Standardized Protocol For The Detection Of Arboviruses In Different Aedes Mosquito Species In North Borneo Sabah, Malaysia

5.

Ong Song Quan (2025) , Utilizing Machine Learning To Predict Hospital Admissions For Pediatric Covid-19 Patients (prepcovid-machine)

6.

Henry Bernard , Ong Song Quan (2025) , Bornean Orangutan Nest Identification Using Computer Vision And Deep Learning Models To Improve Conservation Strategies

7.

Ong Song Quan (2025) , Comparison Of Amino Acid Profiles For Different Deltamethrin Resistance Statuses Of Aedes Albopictus (skuse)

8.

Ong Song Quan (2024) , Trap Colour Strongly Affects The Ability Of Deep Learning Models To Recognize Insect Species In Images Of Sticky Traps

9.

Ong Song Quan (2024) , Application Of Computer Vision And Deep Learning Models To Automatically Classify Medically Important Mosquitoes In North Borneo, Malaysia

10.

Ong Song Quan (2024) , Comparative Analyses Of The Transcriptome Among Three Development Stages Of Zeugodacus Tau Larvae (diptera: Tephritidae)


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