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.
Academic Department
Institut Biologi Tropika Dan Pemuliharaan, UMS
Appointed Department
Institut Biologi Tropika Dan Pemuliharaan, UMS
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
Projects
6
Active
5
Grants
RM 509,474.41
Biological Sciences - Entomology (Including Insect Taxonomy, Insect Pathology and Insect Toxicology)
NOTE: N/A = Data not available, 0 = Data not completed
Documents
51
H-Index
12
Citations
422
Affiliation
Universiti Malaysia Sabah
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
NOTE: PUBLICATION DATA FOR THE LAST 3 YEARS WILL BE DISPLAYED
Showing 11 to 20 of 20 entries
Ong Song Quan (2024) , Application Of Computer Vision And Deep Learning Models To Automatically Classify Medically Important Mosquitoes In North Borneo, Malaysia
Ong Song Quan (2024) , Trap Colour Strongly Affects The Ability Of Deep Learning Models To Recognize Insect Species In Images Of Sticky Traps
Ong Song Quan (2024) , Vector-borne Diseases On Borneo Island: A Scoping Review
Ong Song Quan (2024) , An Annotated Image Dataset Of Pests On Different Coloured Sticky Traps Acquired With Different Imaging Devices
Ong Song Quan (2024) , Morphometric Dataset Of Varanus Salvator For Non-invasive Sex Identification Using Machine Learning
Ong Song Quan , Liew Thor Seng (2023) , A Time-lapse Observational Study Of The Activity Patterns And Feeding Behaviour Of Urban Terrestrial Gastropods On Carcasses Of The Asian House Shrew (suncus Murinus)
Ong Song Quan (2023) , Digitization Of Natural History Collections: A Guideline And Nationwide Capacity Building Workshop In Malaysia
Ong Song Quan (2023) , Predicting Dengue Transmission Rates By Comparing Different Machine Learning Models With Vector Indices And Meteorological Data
Ong Song Quan (2023) , Epidemiology, Clinical Characteristics And Outcomes Of Multisystem Inflammatory Syndrome In Children
Ong Song Quan (2023) , Risk Factors For Disease Severity Among Children With Covid-19: A Clinical Prediction Model
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