Dr. Hazlina Hamdan

Senior Lecturer
Department of Computer Science,
Universiti Putra Malaysia
Malaysia

Professor Engineering
Biography

My research interest is in computational intelligent techniques and application, primarily in the context of medical. My works to date is on utilizing neural network and fuzzy inference system to model the prediction of cancer patients. The main interest is to transfer the medical intelligent systems into clinical use by applying and evaluating the intelligent techniques to see the mechanisms of implementation. Machine learning in clustering, classification and etc. are some others areas of my research interest. B. Comp. Sc. (Hons.) (ITM-UKM), Master in Comp. Sc. (UM), Ph.D (Nottingham, UK) EDUCATIONAL BACKGROUND PhD. (Artificial Intelligence), University of Nottingham, United Kingdom Master of Computer Science (Artificial Intelligence), University of Malaya Kuala Lumpur, Malaysia Bachelor of Science (Hons.) (Computer Science), Universiti Kebangsaan Malaysia-Universiti Teknologi MARA, Malaysia Diploma in Computer Science, University Putra Malaysia WORKING EXPERIENCE Senior Lecturer at Department of Computer Science, Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, Malaysia (November 2013 - current) Lecturer at Department of Computer Science, Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, Malaysia (March 2005 - October 2013) Tutor at Department of Computer Science, Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, Malaysia (November 1999 - February 2005) Application Programmer at Telekom Applied Business Sdn. Bhd. Malaysia (May 1997 - October 1999) SKILL Neural Network - backpropagation Fuzzy System - fuzzy inference system Hybrid - Adaptive Neuro Fuzzy Inference System Survival Analysis - survival prediction Medical informatics Database TEACHING Current Classes Database Application (undergraduate) Coordinator Final Year Project (undergraduate) Advance Data Structure (postgraduate) Previous Classes Programming I (undergraduate) Programming II (undergraduate) Data Structure (undergraduate) Database Application (undergraduate) Intelligent Computing ((undergraduate) Coordinator Final Year Project (undergraduate)

Research Intrest

Neural Network, Fuzzy System, Survival Analysis

List of Publications
Performance of Hybrid GANN in Comparison with Other Standalone Models on Dengue Outbreak Prediction 2016
Managing veterinary Problem-Based Learning (PBL) class using an electronic teaching and learning tool 2017
Hamdan, H. and Garibaldi, J. M. (2010). Adaptive neuro-fuzzy inference system (ANFIS) in modelling breast cancer survival. In 2010 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), pages 573–580.
Hamdan, H. and Garibaldi, J. M. (2012). A Framework for Automatic Modelling of Survival using Fuzzy Inference. In Proceedings of the 2012 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).
Hamdan, Hazlina (2013): An Exploration of the Adaptive Neuro-Fuzzy Inference System (ANFIS) for Modelling Survival. PhD Thesis, School of Computer Science, University of Nottingham, 2013.
Hamdan, H. and Garibaldi, J. M. (2014). Automatic Generation of ANFIS Rules in Modelling Breast Cancer Survival. In Proceedings of the International Conference on Computer Assisted System in Health (CASH 2014).

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