ASSOCIATE PROF. DR. ANIS SALWA BINTI MOHD KHAIRUDDIN
Department of Electrical Engineering
Faculty of Engineering
anissalwaum.edu.myView CV | |
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Biography | |
Associate Professor Dr. Anis Salwa Mohd Khairuddin is currently affiliated at the Department of Electrical Engineering, Faculty of Engineering, Universiti Malaya. She is also a Chartered Engineer registered under the Engineering Council, U.K. and a member of IEEE Computational Intelligence Society (CIS). In addition, she serves as Malaysia Focal point for Sub-Committee on Microelectronics and Information Technology (SCMIT) in ASEAN COSTI (from year 2020 until current). The Committee on Science, Technology & Innovation (COSTI) is responsible for operationalizing and translating the APASTI strategic thrusts into specific actions. As for administrative responsibilities, she was the Final year Project (FYP) Coordinator from 2015/2016 until 2019/2020. Consecutively, she has been appointed as the Outcome-Based Education (OBE) coordinator since 2020/2021 until current. Outcome-Based Education (OBE) is one of the requirements for Malaysia to become a full member of the Washington Accord (WA), an international agreement to mutually recognize Bachelor degrees in the field of engineering. She is currently the Head of Centre of Intelligent Systems for Emerging Technology (CISET), Faculty of Engineering, UM. Her research expertise lies in pattern recognition area, focusing on the application of artificial intelligence by developing computationally intelligent algorithms for spatial and temporal signal processing. She works on the application of machine learning methods to solve various pattern recognition problems in precision agriculture, smart manufacturing, and energy management. Researcher ORCID : https://orcid.org/0000-0002-9873-4779 ResearcherID : https://www.webofscience.com/wos/author/record/B-5340-2010 Researcher profile : https://umexpert.um.edu.my/anissalwa |
Publication
Finance
Project Title | Progress | Status |
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Intelligent Monitoring Systems based on Computer Vision Methods |
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on going |
Sustainable And Smart Food Packaging System |
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on going |
Intelligent Price Forecasting System For Optimal Energy Market |
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end |
This information is generated from Research Grant Management System |
Automated Identification of Malaria-infected Cells and Classification of Human Malaria Parasites using a Two-stage Deep Learning Technique
An optimised YOLOv4 deep learning model for efficient malarial cell detection in thin blood smear images
Model-based impending lithium battery terminal voltage collapse detection via data-driven and machine learning approaches
An automatic garbage detection using optimized YOLO model
Real-Time KenalKayu System with YOLOv3
Vehicles Trajectories Analysis Using Piecewise-Segment Dynamic Time Warping (PSDTW)
Smart Innovation, Systems and Technologies
Assessing the Resilience of a Power Distribution System Considering Different Restoration Strategies
Automated grading of Citrus Suhuiensis fruit using deep learning method
YOLO-based Network Fusion for Riverine Floating Debris Monitoring System
Defect Severity Classification of Complex Composites using CWT and CNN