Dr. Ervin Gubin Moung
Fakulti Komputeran Dan Informatik, UMS
Dr. Ervin Gubin Moung is a distinguished researcher at Fakulti Komputeran Dan Informatik, University Malaysia Sabah. Their research focuses on Computer Vision and Pattern Recognition, with a current focus on Public Health , Smart Health, Agriculture , Food Security, and Environmental Sustainability. Over his career, Dr. Moung has secured and led research projects totaling over MYR 1.3 million in grants from agencies such as PETRONAS, the Malaysian Ministry of Higher Education, and UMS, s internal research fund. His notable projects include the PETRONAS Advanced Analytics Framework for Resource Optimization (PETRO-AFRO Framework), algae performance prediction tools, and spectrally adapted algorithms for assessing beef cattle health. Since July 2022, he has also served as Deputy Director at UMS, s Research Management Centre, overseeing all operational activities. He is also a member of IEEE. Dr. Moung, s contributions include innovations such as hyperspectral imaging for plastic waste detection, solar-powered black pepper dryers, and sentiment analysis tools for business analytics. With 84 publications, 526 citations, and a Scopus h-index of 13, Dr. Moung is a respected researcher committed to advancing computer engineering and interdisciplinary research excellence. He can be contacted at ervin@ums.edu.my. (18 March 2026) .
As a member of Pusat Pengurusan Penyelidikan, they contribute significantly to the academic and research community at UMS through their expertise and dedication to advancing knowledge in their field.
Dr. Ervin Gubin Moung holds Ijazah Doktor Falsafah Kejuruteraan Komputer from Universiti Malaysia Sabah , among other qualifications, and has established themselves as a respected expert in their field.
Contact Information
Academic Department
Fakulti Komputeran Dan Informatik, UMS
Appointed Department
Pusat Pengurusan Penyelidikan, UMS
Education
Ijazah Doktor Falsafah Kejuruteraan Komputer
Universiti Malaysia Sabah
2018
Sarjana Kejuruteraan (kejuruteraan Komputer)
Universiti Malaysia Sabah
2013
Ijazah Sarjana Muda Kejuruteraan Dengan Kepujian (kejuruteraan Komputer)
Universiti Malaysia Sabah
2008
Research Collaborators
Research
Projects
23
Active
9
Grants
RM 1,944,760.00
Research Interests & Expertise
Computer Engineering - Neural Network Computer
Information And Communication Technology (ict) - Deep Learning for Machine Learning
Information And Communication Technology (ict) - Logic Programming in AI and Machine Learning
Information And Communication Technology (ict) - Digital Image Processing Algorithm and Techniques
Information And Communication Technology (ict) - Pattern and Image Recognition
Information And Communication Technology (ict) - Predictive Analytics
Information And Communication Technology (ict) - Logic Programming
Publications
Total Publications by Year
NOTE: N/A = Data not available, 0 = Data not completed
Scopus Metrics
Scopus ProfileDocuments
90
H-Index
13
Citations
588
Affiliation
Universiti Malaysia Sabah
Research listing
Current Research Projects
Identification of power transformer's insulation oil state-of-health using artificial intelligence based device techniques
Member
2025 - 2026
Petronas advanced analytics framework for resource optimization (petro-afro framework): driving operational excellence through data science and artificial intelligence
Leader
2024 - 2027
Algae performance prediction and prescriptive tools
Leader
2024 - 2027
Formulating a spectrally adapted one-stage detection algorithm for assessing beef cattle health with pseudo-rgb and multispectral bands
Leader
2024 - 2027
New scattered data interpolation scheme using quasi cubic triangular patches for highly accurate rgb image interpolation and fruits quality inspection
Leader
2023 - 2026
Brain connectivity modelling using exact diffusion adaptation strategy
Member
2023 - 2026
Design of an automatic smart ingredients feeder for mixer in a fish feed production line.
Member
2023 - 2025
An integrated conjoined recurrent and convolutional neural network approach to classifying time-series forests hyper-spectral images for automated carbon stock estimation.
Member
2022 - 2025
Public security threat detection model with sarcasm detection for bilingual sentiment analysis based on natural language processing features and modified deep learning
Member
2022 - 2024
Publications listing
NOTE: PUBLICATION DATA FOR THE LAST 3 YEARS WILL BE DISPLAYED
Showing 1 to 10 of 16 entries
Normah Awang Besar @ Raffie , Oliver Valentine Eboy , Chin Kim On , Ervin Gubin Moung , Rayner Alfred (2026), Optimized Autoencoder Deep Learning For Carbon Stock Estimation Using Multi Source Remote Sensing Data In Tropical Rainforests
Mohd. Hanafi Bin Ahmad Hijazi , Ervin Gubin Moung (2026), Multitask Deep Learning For Sentiment Analysis With Sarcasm Detection In Bilingual Code-mixed Social Media Content
Lim Kit Guan , Lorita Angeline , Kenneth Teo Tze Kin , Ervin Gubin Moung (2026), Energy-efficient Multi-hop Lora Communication In Forested Environments Via Proximal Policy Optimization
Ervin Gubin Moung (2025), Automated Scoliosis Diagnosis In Spinal Imaging: Laboratory Validation, Clinical Limitations, And Systematic Implementation Challenge Review
Ervin Gubin Moung (2024), User Identification And Verification Based On Auditory Evoked Potentials Using Cnn
Ervin Gubin Moung , Mohd. Hanafi Bin Ahmad Hijazi (2024), Annotated Dataset For Sentiment Analysis And Sarcasm Detection: Bilingual Code-mixed English-malay Social Media Data In The Public Security Domain
Ervin Gubin Moung (2024), Optimizing The Light Gradient-boosting Machine Algorithm For An Efficient Early Detection Of Coronary Heart Disease
Ervin Gubin Moung (2024), A Fully Automatic Curve Localization Method For Extracted Spine
Nurul'azah Mohd Yaakub , Zuhair Jamain , Jamal Ahmad Dargham , Ervin Gubin Moung , Ali Farzamnia (2023), A Review Of Solar Drying Technology For Agricultural Produce
Mohd. Hanafi Bin Ahmad Hijazi , Ervin Gubin Moung (2023), Social Media Sentiment Analysis And Opinion Mining In Public Security: Taxonomy, Trend Analysis, Issues And Future Directions
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