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
6
Active
5
Grants
RM 509,474.41
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 ProfileDocuments
55
H-Index
13
Citations
463
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 24 entries
Evan Quah Seng Huat , Kueh Boon Hee , Marcela Binti Pimid , Ng Ting Hui , Noor Haliza Binti Hasan @ Ahmad , Monica Suleiman , Ong Song Quan , Homathevi A/p Rahman (2026), Towards Making Bornean Biodiversity Material And Data Available To All: The Borneensis Collection Of The Universiti Malaysia Sabah
Ong Song Quan (2026), Practical Use Of Computer Vision For Cockroach Monitoring In Food Premises: A Case Study In North Borneo, Malaysia
Ong Song Quan (2026), Insectrolevision: A Computer Vision System To Study Arthropod Diversity And Functional Roles
Ong Song Quan (2026), A Study On Area-wide Management Of Subterranean Termites Through Baiting Strategies In A Tropical Region
Ong Song Quan (2025), Utilizing Machine Learning To Predict Hospital Admissions For Pediatric Covid-19 Patients (prepcovid-machine)
Ong Song Quan , Eric Chong Tzyy Jiann , Lee Ping Chin , Syavia Daim @ Sylvia Jerome Daim (2025), A Standardized Protocol For The Detection Of Arboviruses In Different Aedes Mosquito Species In North Borneo Sabah, Malaysia
Ong Song Quan , Lee Ping Chin , Syavia Daim @ Sylvia Jerome Daim (2025), A Standardized Protocol For The Detection Of Arboviruses In Different Aedes Mosquito Species In North Borneo Sabah, Malaysia
Ong Song Quan (2025), Scannervision: Scanner-based Image Acquisition Of Medically Important Arthropods For The Development Of Computer Vision And Deep Learning Models
Ong Song Quan (2025), Mri-based Texture Analysis For Breast Cancer Subtype Classification In A Multi-ethnic Population
Ong Song Quan (2025), Comparison Of Amino Acid Profiles For Different Deltamethrin Resistance Statuses Of Aedes Albopictus (skuse)
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