A
PROFILE
UPM's Staff Profile
DR. HAZLINA BINTI HAMDAN
PENSYARAH KANAN
FACULTY OF COMPUTER SCIENCE AND INFORMATION TECHNOLOGY
hazlina
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PROFESSIONAL

NAME :
(Dr.) Hazlina Binti Hamdan
POSITION :
Pensyarah Kanan
ENTITY :
Faculty Of Computer Science And Information Technology

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
Intelligent Computing (undergraduate)
Seminar in Computer Science (postgraduate)
Previous Classes
Programming I (undergraduate)
Programming II (undergraduate)
Data Structure (undergraduate)
Database Application (undergraduate)
Intelligent Computing ((undergraduate)
Coordinator Final Year Project (undergraduate)Advan
PUBLICATION
2023
1. Ting Deng, Hazlina Hamdan, Razali Yaakob, Khairul Azhar Kasmiran (2023). Personalized Federated Learning for In-Hospital Mortality Prediction of Multi-Center ICU. IEEE Access, vol. 11, pp. 11652-11663, 2023, doi: 10.1109/ACCESS.2023.3241488.
2022
1. Bilal Ahmed, Hazlina Hamdan, Abdullah Muhammed, Nor Azura Husin (2022). Review on the parameter settings in harmony search algorithm applied to combinatorial optimization problems. The Indonesian Journal of Electrical Engineering and Computer Science (IJEECS). http://doi.org/10.11591/ijeecs.v27.i1.pp431-441
2020
5. Alwatben Batoul Rashed, Hazlina Hamdan, Nurfadhlina Mohd Sharef, Md Nasir Sulaiman, Razali Yaakob and Mansir Abubakar (2020). Multi-objective clustering algorithm using Particle Swarm Optimization with crowding distance (MCPSO-CD). International Journal of Advances in Intelligent Informatics, Vol 6, No 1 pp 72-81.
2019
Mansir Abubakar, Hazlina Hamdan, Norwati Mustapha, Teh Noranis Mohd Aris (2019). Bootsrapping Instance-Based Ontology Matching via Unsupervised Generation of Training Samples. Journal of Theoretical and Applied Information Technology, Vol.97(6), pp 1832-1
2019
Mansir Abubakar, Hazlina Hamdan, Norwati Mustapha, Teh Noranis Mohd Aris (2019). A data-driven model for ontology property alignment. International Journal of Advanced Trends in Computer Science and Engineering, Vol.8(1.4 SI), pp 158-164
2018
Abdullah, S., Hamdan, H. and Anuar, S. (2018). Supporting Sustainability and Healthy Learning Environment through Smart Green Management System (SGMS). Journal of Physics: Conference Series, Volume 1019, Number 1, pages1-5
2018
Alwatben Batoul Rashed A, Hazlina Hamdan, Nurfadhlina Mohd Sharef, Md. Nasir Sulaiman, Razali Yaacob (2018). Multi-Objective PSO-fuzzy Optimization Approach to Improve Interpretability and Accuracy in Medical Data. International Journal of Engineering &
2018
Mansir Abubakar, Hazlina Hamdan, Norwati Mustapha, Teh Noranis Mohd Aris (2018). Attributes Correspondence Discovery in Ontology Instance-based Matching and RDF Data Linkage using Clustering Method International Journal of Engineering & Technology, Volume
2017
Teh Noranis Mohd Aris, Maslina Zolkepli, Noraini Che Pa, Hazlina Hamdan (2017). Fuzzy Logic Model for Flood Warning Expert System Integrating Multi-Agent and Ontology. Journal of Engineering and Applied Sciences, Volume 12(12), pages 3124-3129.
2017
Fang, Ong Huey, Norwati, Mustapha, Aida, Hamdan, Hazlina, Rosli, Rozita (2017). Associative Classification Framework for Cancer Microarray Data. Journal of Advanced Science Letters, Volume 23, Number 5, pp. 4153-4157
RANDOM IMAGE
Embeded training
Andriod Cert
Android training