Dr. Ervin Gubin Moung

Dr. Ervin Gubin Moung

Fakulti Komputeran Dan Informatik, UMS

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)

Contact Information

Academic Department

Fakulti Komputeran Dan Informatik

Appointed Department

Pusat Pengurusan Penyelidikan

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

Publications

Total Publications by Year

Total publications by calendar year
Year Publications
2010 2
2011 1
2012 1
2014 1
2015 1
2018 4
2019 3
2020 5
2021 7
2022 9
2023 14
2024 24
2025 12
2026 7

Scopus Metrics

Scopus Profile

Documents

91

H-Index

13

Citations

645

Institutional

91

Research listing

Completed and ongoing projects

Showing 1 to 5 of 21 entries

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

Formulating a Spectrally Adapted One-Stage Detection Algorithm for Assessing Beef Cattle Health with Pseudo-RGB and Multispectral Bands

Leader

2024 - 2027

ALGAE PERFORMANCE PREDICTION AND PRESCRIPTIVE TOOLS

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 - 2027

Publications listing

Note: publication data for the last 3 years will be displayed

Showing 1 to 5 of 9 entries

1.

ERVIN GUBIN MOUNG , LIM KIT GUAN , KENNETH TEO TZE KIN , LORITA ANGELINE (2026), Energy-efficient multi-hop lora communication in forested environments via proximal policy optimization

2.

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

3.

ERVIN GUBIN MOUNG (2026), Object detection for waste management: A comparative review of models, challenges, and future directions

4.

OLIVER VALENTINE EBOY , CHIN KIM ON , ERVIN GUBIN MOUNG , NORMAH AWANG BESAR @ RAFFIE , RAYNER ALFRED (2026), Optimized autoencoder deep learning for carbon stock estimation using multi source remote sensing data in tropical rainforests

5.

ERVIN GUBIN MOUNG (2025), Automated scoliosis diagnosis in spinal imaging: Laboratory validation, clinical limitations, and systematic implementation challenge review