Professor Dr. Jason Teo Tze Wi

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. Their research focuses on Neuroinformatics, Evolutionary Computing, Artificial Life, Evolutionary Robotics, Multi-objective Optimization .

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.

Professor Dr. Jason Teo Tze Wi holds Doctor of Information Technology from University of New South Wales, Sydney, Australia , among other qualifications, and has established themselves as a respected expert in their field.

Email CV Summary

Contact Information

Email

jtwteo@ums.edu.my

Academic Department

Fakulti Komputeran Dan Informatik, UMS

Appointed Department

Fakulti Komputeran Dan Informatik, UMS

Education

Doctor Of Information Technology

University of New South Wales, Sydney, Australia

2003

Master Of Information Technology

Chales Sturt University, Australia

2000

Bachelor Of Computer And Mathematical Sciences

University Of Western Australia

1993

Research Collaborators

Research

Projects

6

Active

5

Grants

RM 707,703.00

Research Interests & Expertise

Information And Communication Technology (ict) - Neural, Evolutionary and Fuzzy Computation

Publications

Total Publications by Year

NOTE: N/A = Data not available, 0 = Data not completed

Scopus Metrics

Scopus Profile

Documents

162

H-Index

23

Citations

2,808

Affiliation

Universiti Malaysia Sabah

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

A new framework of 3d soundscapes generation in fully immersive vr environments using emotion recognition, procedural content generation and sonification technique

Member

2021 - 2024

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 15 entries

1.

Jason Teo Tze Wi (2025) , Pest Classification: Explainable Few-shot Learning Vs. Convolutional Neural Networks Vs. Transfer Learning

2.

Jason Teo Tze Wi (2025) , Static Facial Expression Recognition In The Wild: Taxonomy, Trends And Challenges

3.

Ng Giap Weng , Carolyn Melissa Payus , Jason Teo Tze Wi , Fouziah Binti Md. Yassin , Ag. Asri Bin Ag. Ibrahim (2024) , Implementation Of Welch Pre-processing In Svm Algorithm For Improved Accuracy On Eeg Data

4.

Jason Teo Tze Wi (2024) , Predicting Game-induced Emotions Using Eeg, Data Mining And Machine Learning

5.

Ag. Asri Bin Ag. Ibrahim , Fouziah Binti Md. Yassin , Ng Giap Weng , Carolyn Bt. Salimun@jackson , Jason Teo Tze Wi (2024) , Harmonizing Emotion And Sound: A Novel Framework For Procedural Sound Generation Based On Emotional Dynamics

6.

Jason Teo Tze Wi (2023) , Object Detection And Classification Using Few-shot Learning In Smart Agriculture: A Scoping Mini Review

7.

Jason Teo Tze Wi (2023) , Data Augmentation Using Generative Adversarial Networks For Images And Biomarkers In Medicine And Neuroscience

8.

Jason Teo Tze Wi (2023) , Single Classifier Vs. Ensemble Machine Learning Approaches For Mental Health Prediction

9.

Jason Teo Tze Wi (2023) , Academic Emotion Classification Using Fer: A Systematic Review

10.

Jason Teo Tze Wi (2023) , Media Stimuli Of Emotion Recognition: A State-of-the-art Review Of Current Trends And Technology

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