Professor Dr. Jason Teo Tze Wi
Fakulti Komputeran Dan Informatik, UMS
Professor Dr. Jason Teo Tze Wi 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.
Contact Information
Academic Department
Fakulti Komputeran Dan Informatik, UMS
Appointed Department
Fakulti Komputeran Dan Informatik, UMS
Education
No education data available
Research Collaborators
Research
Projects
34
Active
5
Grants
RM 3,705,233.00
Research Interests & Expertise
Information And Communication Technology (ict) - Neural, Evolutionary and Fuzzy Computation
Publications
Total Publications by Year
Scopus Metrics
Documents
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H-Index
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Citations
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Affiliation
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Research listing
Current Research Projects
A multi-dimensional computational model for plant electrophysiological response classification in fungal colonies
Leader
2025 - 2028
Hybrid mixed integer linear programming and simulated annealing optimization algorithm for nurse rostering problems
Member
2025 - 2028
Optimized uwb indoor positioning system for smart manufacturing: a preliminary feasibility study on 3d environment reconstruction from 2d images
Leader
2025 - 2026
Optimized uwb indoor positioning system for smart manufacturing: a preliminary feasibility study on 3d environment reconstruction from 2d images
Leader
2025 - 2026
Mobile based automated car plate localization and recognition using neural networks
Member
2017 - 2020
Publications listing
NOTE: PUBLICATION DATA FOR THE LAST 3 YEARS WILL BE DISPLAYED
Showing 1 to 10 of 16 entries
Jason Teo Tze Wi (2026), Towards Integrating Domain Knowledge, Automl And Few-shot Learning For Medical Image Analysis: A Mini Review Of Current Trends And Research Gaps
Jason Teo Tze Wi (2025), Static Facial Expression Recognition In The Wild: Taxonomy, Trends And Challenges
Jason Teo Tze Wi (2025), Pest Classification: Explainable Few-shot Learning Vs. Convolutional Neural Networks Vs. Transfer Learning
Fouziah Binti Md. Yassin , Ng Giap Weng , Jason Teo Tze Wi , Ag. Asri Bin Ag. Ibrahim , Carolyn Bt. Salimun@jackson (2024), Harmonizing Emotion And Sound: A Novel Framework For Procedural Sound Generation Based On Emotional Dynamics
Jason Teo Tze Wi (2024), Predicting Game-induced Emotions Using Eeg, Data Mining And Machine Learning
Jason Teo Tze Wi , Carolyn Melissa Payus , Ng Giap Weng , Fouziah Binti Md. Yassin , Ag. Asri Bin Ag. Ibrahim (2024), Implementation Of Welch Pre-processing In Svm Algorithm For Improved Accuracy On Eeg Data
Jason Teo Tze Wi (2023), Single Classifier Vs. Ensemble Machine Learning Approaches For Mental Health Prediction
Jason Teo Tze Wi (2023), Single Classifer Vs. Ensemble Machine Learning Approaches For Mental Health Prediction
Jason Teo Tze Wi (2023), Data Augmentation Using Generative Adversarial Networks For Images And Biomarkers In Medicine And Neuroscience
Jason Teo Tze Wi (2023), Modeling Heterogeneous Behaviors With Different Strategies In A Terrorist Attack
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