Profesor Madya Ir. Dr.
 Mazlina Binti Mamat

Profesor Madya Ir. Dr. Mazlina Binti Mamat

Fakulti Kejuruteraan, UMS

Mazlina Mamat holds a B.Eng. and M.Sc. in electrical and electronic engineering from Universiti Sains Malaysia, earned in 2000 and 2003, respectively. In 2013, she obtained her Ph.D. in microengineering and nanoelectronics from Universiti Kebangsaan Malaysia. Currently serving as a senior lecturer at the Department of Electronic Engineering (Computer) at Universiti Malaysia Sabah, Mazlina is a registered Professional Engineer with the Board of Engineers Malaysia. Mazlina has contributed to her field with over 40 publications, including books, peer-reviewed technical journals, and conference proceedings. Her research focuses on sensors, signal processing, and artificial intelligence. Her endeavors have centered around developing and applying advanced sensor technologies, particularly in the domains of e-nose and e-eye prototypes. She employs diverse machine learning techniques, including SVM, SVR, MLP, Deep Learning, RBF, and NARX, to extract meaningful insights from sensory data. Mazlina’s expertise lies at the intersection of electronic engineering and artificial intelligence, with a strong emphasis on practical applications.

Contact Information

Academic Department

Fakulti Kejuruteraan, UMS

Appointed Department

Fakulti Kejuruteraan, UMS

Education

Kejuruteraan Elektrik & Elektronik (rangkaian Neural)

Universiti Sains Malaysia

2003

Kejuruteraan Elektrik & Elektronik (komputer)

Universiti Sains Malaysia

2000

Sijil Pelajaran Malaysia

Sekolah Menengah Bantuan Penuh Kerajaan

1994

Kejuruteraan Mikro & Nanoelektronik

Universiti Kebangsaan Malaysia

2013

Research Collaborators

Research

Projects

15

Active

2

Grants

RM 610,354.00


Research Interests & Expertise

No expertise areas available

Publications

Total Publications by Year


Scopus Metrics

Scopus Profile

Documents

45

H-Index

9

Citations

224

Affiliation

Universiti Malaysia Sabah

Research listing

Current Research Projects

The influence of ambient light intensity on vibration analysis using adaptive cnn-svr vision based vibration measurement algorithm

Leader

2023 - 2026

Accurate positioning algorithm for patient tracking in indoor wireless networks using adaptive non-gaussian particle filters.

Member

2022 - 2025

Publications listing

NOTE: PUBLICATION DATA FOR THE LAST 3 YEARS WILL BE DISPLAYED

Showing 1 to 5 of 5 entries

1.

Mazlina Binti Mamat , Lorita Angeline (2026), Multi-space Color Histogram Feature Fusion For Non-destructive Milk Quality Assessment In Visually Homogeneous Liquids

2.

Chung Seng Kheau @ Untung Bin Ngen Fui , Jamal Ahmad Dargham , Wong Hock Tze @ Farrah Wong , Mazlina Binti Mamat (2025), An Education-based System For Two-way Translations Of Sign Language

3.

Yew Hoe Tung , Wong Hock Tze @ Farrah Wong , Mazlina Binti Mamat (2025), A Vision-based Deep Learning Approach For Non-contact Vibration Measurement Using (2+1)d Cnn And Optical Flow

4.

Mazlina Binti Mamat , Yew Hoe Tung , Zulayti Binti Zakaria (2024), Transforming Speech Therapy For Children With Autism Through A Virtual Applied Behavior Analysis Approach

5.

Mazlina Binti Mamat , Wong Hock Tze @ Farrah Wong , Yew Hoe Tung (2024), A Novel And Refined Contactless User Feedback System For Immediate On-site Response Collection