Dr. Lai Po Hung
Dr. Lai Po Hung
Fakulti Komputeran Dan Informatik · Fakulti Komputeran Dan Informatik, UMS
laipohung@ums.edu.my
Summary

Dr. Lai Po Hung is a distinguished researcher at Fakulti Komputeran Dan Informatik, University Malaysia Sabah.

As a member of Fakulti Komputeran Dan Informatik, they contribute significantly to the academic and research community at UMS through their expertise and dedication to advancing knowledge in their field.

Dr. Lai Po Hung holds Ijazah Doktor Falsafah (Sains Komputer) from Universiti Malaysia Sabah and has established themselves as a respected expert in their field.

Education
Ijazah Doktor Falsafah (sains Komputer)
Universiti Malaysia Sabah · 2018
Stats
Publications:
61
Projects:
9
Grants:
RM 627,400.00
Scopus Metrics
Scopus Author ID:
57162340600
H-Index:
5
Documents:
34
Citations:
148
Research Interests
INFORMATION AND COMMUNICATION TECHNOLOGY (ICT) - Natural Language Processing (Including Machine Translation, Sentiment Analysis, Text to Speech (TtS), Speech to Text (StT))
Latest Grants
A Contrast Subspace Mining Method Using Tree Technique For High Dimensional Mixed Type Data: An Application To Detect And Control Diabetes Disease
2023 – 2026
An Improved Implicit Aspect Extraction Technique Using Latent Dirichlet Allocation (lda) And Class Sequential-rules Mining For Sentiment Summarization
2020 – 2024
Latest Publications
Serendipitous Recommendations For Handicraft Store Discovery In Social Commerce Using A Genetic Algorithm With Adaptive Selection
Jurnal RESTI · 2026
Optimized Tree-based Mining Contrast Subspace For Categorical Data
7th IEEE International Conference on Artificial Intelligence in Engineering and Technology, IICAIET 2025 · 2025
Comparative Analysis Of Lightweight Stream Ciphers For Constrained Iot Resources
7th IEEE International Conference on Artificial Intelligence in Engineering and Technology, IICAIET 2025 · 2025
A Hybrid Contextual Embedding Based Clustering And Classification Technique For Unsupervised Implicit Aspect Categorization In Indonesian Reviews
Malaysian Science Journal of Computer · 2025
Deep Learning Approaches For Sentiment Analysis In Customer Reviews
7th IEEE International Conference on Artificial Intelligence in Engineering and Technology, IICAIET 2025 · 2025
Administrative Positions
Fakulti Komputeran Dan Informatik
UMS