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 August 2016
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 for research entitled “Classification of Woodball Swinging Segmentation from a Single Inertial Measurement Unit Using Deep Learning Model”. RM30,000
2019
Project Member
Fundamental Research Grant Scheme for Research Acculturation of Early Career Researchers (FRGS-RACER) for research entitled “Ground Penetrating Radar Signal Interpretation Using Machine Learning Technique for Accurate Underground Object Location Detection”. RM32,400
2019
Project Member
Fundamental Research Grant Scheme for Research Acculturation of Early Career Researchers (FRGS-RACER) for research entitled “Formulation of New Semantic Segmentation Algorithm Based on Superpixel Clustered Feature and Deep Learning for Human Intestinal Parasites Diagnostic System”. RM32,000
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
Project Leader
Short Term Grant by Universiti Malaysia Perlis for research entitled “Image Enhancement for Standardization of Blood Images for Malaria Diagnosis”. RM20,000
Supervision
Doctor of Philosophy
Master of Science
Final Year Project
Apr 2019
Co-supervisor
Evaluation of Penicillium & Aspergillus Species Based on Fuzzy Inference System for Image Processing Techniques
Farah Nabilah Binti Zabani
Ongoing
Jan 2019
Co-supervisor
Robust Noise Region-Based Active Contour Model in Image Segmentation for Aspergillus Species
Nur Rodiatul Raudah Binti Mohamed Radzuan
Ongoing
August 2016
Co-supervisor
Intelligent Malaria Parasite Detection System Based on GIMSA-Stained Slide Images
Edy Victor Haryanto
Ongoing