Siti Fazilah Binti Shamsudin

Senior Lecturer
School of Computing and Creative Media

fazilah.s@kdu.edu.my
+603 5565 0733
 
About
Siti Fazilah Shamsudin is senior lecturer at KDU University College Malaysia with 20 years’ of experience as an academic in the areas of Computer Science and Software Engineering.
 
Her research interests are in software engineering, human computer interaction and computer science education.
 

Qualifications
  • Ph.D in Information System (Currently pursuing) –  University Technology MARA (UiTM)​
  • Master in Information Technology –  University Technology MARA (UiTM)
  • BSc (Hons) in Computer Engineering –  De Montfort University, Leicester England
Teaching
  • Software Testing & Quality Assurance
  • Research Methodology
  • Coordinator for Final Year Project 1
  • Coordinator for  Final Year Project 2
  • User Interface Design
  • HCI & User Experience
  • Business Intelligence System
  • Research Methodology
  • Logistic  Intelligence
  • Introduction to Information Technology
  • Fundamental of Computer System
  • Software Requirement Engineering
  • Software Design
  • Software Testing & Reliability
  • Object Oriented Analysis & Design
  • Computerized Mathematics
  • System Modelling
  • System Analysis & Design
  • Principles of Software Engineering
  • Software Project Management
  • E-Commerce Management
  • System Analysis and Design
Research & Publications
YearTitle
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2018Automated Kidney Stone Segmentation by Seed Pixel Region Growing Approach: Initial Implementation and Result Journal: International Journal of Engineering and Technology (SCOPUS Indexed), 2018.
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2017Automated Kidney Stone Segmentation by Seed Pixel Region Growing Approach: Initial Implementation and Results, Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 2017.
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2016Proposed Seed Pixel Region Growing Segmentation and Artificial Neural Network Classifier for Detecting the Renal Calculi in Ultrasound Images for Urologist Decisions, IJCSI International Journal of Computer Science Issues,13,5,6268, 2016.
 
Comparative Studies on Mobile Forensic Evidence Extraction Open Source Software for Android Phone, American Scientific Publishers Advanced Science Letters, 2016.
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2015Matlab Implementation Results: Detection and Counting of Young Larvae and Juvenile by Image Enhancement and Region Growing Segmentation Approach, International Journal of Soft Computing and Engineering(TM),5,Issue-2,57 - 65, 2015.
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2014Semantic Extractor Tool: Matlab Results and Evaluation on Sematic Extraction in Sports Video, International conference on Intelligent Systems, Data Mining and Information Technology (ICIDIT 2014), Bangkok.
Research Grant / Consultancy Project
Title: Facio Cyber Forensic: Recognition and Extraction  of Good Quality Faces In Poor Resolution Videos From Video Surveillance By Intergrated Wavelet Technique. (2017)
Role: Co-Researcher
Sponsor/Grant: KDU University College (RM24900)

Title: One KDU Forensics Toolkit - To Develop a new Forensic Tool with the capability to extract deleted chat logs, images, documents and deleted brower history from the suspected computer. (2016)
Role: Co-Researcher​
Sponsor/Grant: KDU University College (RM24900)

Title: Kidney Stone Detection System - Leveraging Seed Pixel Region Growing Segmentation and Artificial Neural Network Classifier for Detecting the Different Size of Renal Calculi in Ultrasound Images. (2016)
Role: Principal Investigator
Sponsor/Grant: KDU University College (RM24700)


Consultancy
 
  • Manufacturing Resource Planning (MRP) Project under Islamic Science University of Malaysia (USIM).
Supervision
Computer Science and Software Engineering 
 
  • Over 40 undergraduate students in their final year projects.