DR. SITI SORAYA BINTI ABDUL RAHMAN
Department of Artificial Intelligence
Faculty of Computer Science and Information Technology
siti_sorayaum.edu.myView CV | |
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Biography | |
Dr. Siti Soraya Abdul Rahman is a Senior Lecturer at the Department of Artificial Intelligence, Faculty of Computer Science and Information Technology. She was appointed as a program leader for ALEPS (Adaptive Learning Environment for Problem Solving) under the Innovative Technology Research Cluster. Previously, she was the Head of Augmented Human Learning Program, under the Humanities Research Cluster, University of Malaya. Currently, she is the Principal Investigator for a UM Living Labs @ UMSDC entitled "Smart Waste Management System: An IoT-Based Approach For Automated Waste Classification And Bin Monitoring". She is also a University of Malaya Library Committee representing the faculty. She graduated with a Bachelor's degree in Information Technology from the University of Glamorgan, UK in 1998 and received a Master's degree in Computer Science from the University of Malaya in 2003. She was conferred with a PhD in Cognitive Science from the University of Sussex, UK in 2012. Her current research interests are in the area of Machine Learning and Deep Learning; Large Language Models; Knowledge Representation and Reasoning; Data Science (predictive analytics, data analytics, text analytics, and sentiment analysis); Cognitive Science (cognition and programming; physics problem solving); Artificial Intelligence in Education; E-learning and Expert System. |
Publication
Finance
Project Title | Progress | Status |
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Smart Waste Management System: An Iot-Based Approach For Automated Waste Classification And Bin Monitoring |
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on going |
Using Predicitive Learning Analytics To Predict Student At Risk Of Dropping Out: The Case Of Undergraduate Computer Science Major |
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end |
Aleps: Knowledge Representation To Capture Students? Structural Knowledge For Adaptive Feedback In Physics Problem Solving |
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This information is generated from Research Grant Management System |
ACCEPTANCE OF INFORMATION TECHNOLOGY SYSTEM AMONG PUBLIC HEALTHCARE STAFF’ MEMBERS IN MALAYSIA
THE DESIGN FRAMEWORK OF TRAINING SYSTEM FOR PROFESSIONAL DEVELOPMENT (TASPOD)
The Dataset For Validation Of Factors Influencing Teachers’ Use Of Instant Messenger Tool, Telegram (Im) In Tamil Primary School (Sjkt)
Implementation Of Telegram In Teaching During Pandemic
AI Glossary
Intelligent Information Systems and Problem Solving
AMEER (Ask ME Algebra): Leveraging GPT to Teach Secondary Algebra