Assoc. Prof. Dr. Aimi Salihah binti Abdul Nasir
aimisalihah@unimap.edu.my
Position
Senior Lecturer
Expert Area
Artificial Intelligence and Optimization, Image & Signal Processing
Professional Appointments
1 January 2026
Associate Profesor
Universiti Malaysia Perlis
Education
2015
Universiti Malaysia Perlis
PhD in Biomedical Electronic Engineering
2011
Universiti Malaysia Perlis
MSc in Biomedical Electronic Engineering
2009
Universiti Malaysia Perlis
B.Eng (Hons.) in Mechatronic Engineering
Awards & Recognition
Rising Star Award, UniMAP Research Excellence Award 2020
UniMAP Young Scientist Award, UniMAP Research Excellence Award 2019
UniMAP Young Scientist Award
Best Paper Award, International Conference on Applied Science and Technology (ICAST 2017)
Research Grants
2020
Project Member
University-Private Matching Fund UniPRIMA (UniMAP-Opensoft Technologies Sdn. Bhd.), “Classification of Woodball Swinging Segmentation from a Single Inertial Measurement Unit Using Deep Learning Model”, RM30000, 1/12/2020 – 28/2/2023. Penyelidik: Ahmad Faizal Salleh, Mohd Yusoff Mashor, Aimi Salihah Abdul Nasir dan Lim Chee Chin
2019
Project Member
Fundamental Research Grant Scheme (FRGS RACER), “Ground Penetrating Radar Signal Interpretation Using Machine Learning Technique for Accurate Underground Object Location Detection”, RM32400, 1/9/2019 – 31/5/2022. Researcher: Mohd Nazri A. Karim, Soh Ping Jack, Siti Zuraidah lbrahim, Aimi Salihah Abdul Nasir dan Mohd Aminudin Jamlos
2019
Project Member
Fundamental Research Grant Scheme (FRGS RACER), “Formulation of New Semantic Segmentation Algorithm Based on Superpixel Clustered Feature and Deep Learning for Human Intestinal Parasites Diagnostic System”, RM32000, 1/9/2019 – 31/5/2022. Researcher: Lim Chee Chin, Aimi Salihah Abdul Nasir, Mohd Yusoff Mashor, Shafriza Nisha Basah dan Zeehaida Mohamed
2016
Project Member
Short Term Grant by Universiti Malaysia Perlis for research entitled “Evaluation Of Non-Fudicial Algorithm To Irregular Ecg Signals For Heartbeat Based Biometric System”. RM20,000
2016
Principle Researcher
Short Term Grant, “Image Enhancement for Standardization of Blood Images for Malaria Diagnosis”, RM20000, 19/12/2016 – 18/6/2018. Researcher: Aimi Salihah Abdul Nasir, Mohd Yusoff Mashor, Zeehaida Mohamed and Haryati Jaafar
2021
Principle Researcher
Fundamental Research Grant Scheme (FRGS), “Characterizing Homogeneous X-Ray Imaging Features using Hybrid Deep Learning Assisted with New Density Peaks Clustering Algorithm for Aiding COVID-19 Diagnosis”, RM90600, 07/09/2021 – 06/03/2024. Researcher: Aimi Salihah Abdul Nasir, Abdul Hamid Adom, Haniza Yazid, Marni Azira Markom and Abdul Syafiq Abdull Sukor
2024
Principle Researcher
Postgraduate Grant 2024 (Science & Technology), “Photovoltaic Cell Defects Classification using Deep CNN-LSTM Assisted with Generative Adversarial Network”, RM4000, 1/8/2024 – 31/7/2025
Supervision
Doctor of Philosophy
Master of Science
Final Year Project
April 2019
Co-supervisor (PhD Mechatronic Engineering)
Evaluation of Penicillium & Aspergillus Species Based on Fuzzy Inference System for Image Processing Techniques
Farah Nabilah binti Zabani
Graduated (2024)
January 2019
Co-supervisor (PhD Mechatronic Engineering)
Robust Noise Region-Based Active Contour Model in Image Segmentation for Aspergillus Species
Nur Rodiatul Raudah binti Mohamed Radzuan
Graduated (2024)
August 2016
Co-supervisor
Intelligent Malaria Parasite Detection System Based on GIMSA-Stained Slide Images
Edy Victor Haryanto
Ongoing
October 2022
Main Supervisor (PhD Mechatronic Engineering)
Self-Adaptive Convolutional Attention in a Hybrid CNN-LSTM Network for Aiding Covid-19 Diagnosis
Fatin Nabilah binti Shaari
Graduated (2026)
October 2022
Main Supervisor (PhD Mechatronic Engineering)
Adaptive Feature-Enhanced Density Peaks Clustering for Unsupervised Lung Segmentation in X-Ray Imaging
Ooi Wei Herng
Writing Up (Expected Graduated 2026)
July 2021
Co-supervisor (PhD Mechatronic Engineering)
Design Wire Mesh Tomography Sensor for Liquid/Gas Component Investigation
Mohammed Saeed Moqbel Abdullah
Graduated (2024)
April 2023
Co-supervisor (PhD Electrical System Engineering)
Electrical Tree in Solid Insulation Characterization using Generative Adversarial Networks and Multi-Scale Edge Tracking Algorithm
Cik Siti Khadijah binti Abdulah
Graduated (2026)
December 2023
Main Supervisor (PhD Mechatronic Engineering)
Photovoltaic Cell Defects Classification using Deep CNN-LSTM Assisted with Generative Adversarial Network
Hanim Suraya binti Mohd Mokhtar
Writing Up (Expected Graduated 2027)
January 2024
Co-supervisor (PhD Electrical System Engineering)
Partial Discharge Identification using Deep-Learning Model based on PRPD for High Voltage Rotating Machine
Aiman Ismail bin Mohamed Jamil
Ongoing
January 2025
Main Supervisor (PhD Mechatronic Engineering)
Prediction of Stingless Bee Population Through Motion Detection using Hybrid YOLO and LSTM
Lee Chun Jie
Ongoing
October 2025
Main Supervisor (PhD Communication and Information Technology)
Attention-Based CNN-LSTM Network for Learning Emotion Recognition Towards Intelligent Classroom Teaching Assessment
Siti Norsafura binti Abdullah Norhairi
Ongoing
July 2026
Main Supervisor (PhD Mechatronic Engineering)
Attention-Embedded Transformer-YOLO for Surface Defect Detection of Printed Circuit Board
Muhammad Zulazri Hanis bin Mohd Nawi
Ongoing