Azleena Mohd Kassim, Dr

  • Azlina 



  • Senior Lecturer

    Email : This email address is being protected from spambots. You need JavaScript enabled to view it.

    Tel : +604 653 3645
    Fax : +604 653 3335
    Room : 708
    School of Computer Sciences, Universiti Sains Malaysia, 11800 USM, Pulau Pinang
    Orcid ID: https://orcid.org/0000-0002-7168-6535

  •  

    Research Cluster

    Data To Knowledge

    Research Interest

    Knowledge Engineering & Management, Artificial Intelligence, Metaheuristics Algorithm, Evolutionary Computing, Health Informatics, Group/Coalition Formation

    Specialization

    Knowledge Management & Engineering
    Evolutionary Computing
    Artificial Intelligence
    Health Informatics



Qualifications

PhD in Computer Science, Universiti Sains Malaysia (Evolutionary Computing)
Masters in Computer Science, Universiti Sains Malaysia (Applied Informatics)
BSc in Computer Science (Hons), Universiti Sains Malaysia

Interests

Knowledge Engineering, Artificial Intelligence, Evolutionary Computing, Health Informatics

 

Projects

  • TRGS, KPT. Azleena Mohd Kassim (Lead researcher), Noor Farizah Ibrahim, Mohd Shareduwan Mohd Kasihmuddin, Mohd Heikal Husin, Prediction of Multi-Hazards using Machine Learning and Route Management Optimization for Disaster Management using Hybridised Evolutionary Algorithm, RM 160,900, 01/12/2022-30/11/2025
  • FRGS, KPT. Azleena Binti Mohd Kassim(Lead researcher), Wong Li Pei, Noor Mastura Binti Mohd Mujar: A Multi-objective Genetic Algorithm based on Clustering and Scheduling Approach for Collaborative Surgical Team Formation, RM60450, 01/11/2020 - 30/04/2024
  • Short Term Grant, USM. Azleena Binti Mohd Kassim (Lead researcher),  Cheah Yu-N, Improving the Social- and Knowledge-based Coalition Formation (SKCF) with Ontology and Modified Combinatorial Particle Swarm Optimization (CPSO) Using Metaheuristic Algorithms, RM25,600.00, 01/02/2020-30/04/2022
  • MRUN- LRGS. Wong Li Pei (Lead researcher), Azleena Mohd Kassim (Co-researcher), Nur Syamimi Yusoff , Suhaila Sulaiman , Umi Kalsom Yusof, Optimization & Deep Learning on Quantum Infrastructure, RM141,800.00, 10/03/2020-09/03/2023
  • FRGS, KPT. Nur Hana Samsudin (Lead researcher),  Syafinaz Binti Amin Nordin,  Azleena Mohd Kassim (Co-researcher), Wan Syamimee Wan Ghazali, Pantea Keikhosrokiani, Ana Masara Binti Ahmad Mokhtar: Formulating Systemic Lupus Erythematosus (SLE) correlation with associated features using hybrid Machine Learning Classification Model for National Registry, RM146,100, 01/10/2023-30/09/2026.
  • FRGS, KPT. Noor Farizah Ibrahim (Lead researcher), Zuraini Zainol, Fauziah Binti Md Taib, Azleena Mohd Kassim (Co-researcher), Formulating Dynamic Brand-Customer Behavioral Interactions using a combined Topic Modelling and Collaborative-filtering Approach, RM69344, 01/11/2020 - 30/10/2022
  • External Agencies – WD, Shankar A/l Karuppayah (Lead Researcher) ,Mohd Heikal Bin Husin, Azleena Binti Mohd Kassim (Co-researcher), Chun Keng Foong, Nor Athiyah Binti Abdullah,  INTEGRATIVE CONTROL SOFTWARE FOR SECS/GEM MODULE, RM0.00, 01/04/2022-31/03/2023

 

Publications

2023

  • Aliyu Shehu Yakubu, Azleena Mohd Kassim, Mohd Heikal Husin, 2023. Exploring the empirical studies of cloud computing adoption in anglophone West African countries' academic libraries: A review. Proceedings of SPIE - The International Society for Optical Engineering 2023, 12616 https://doi.org/10.1117/12.2675083
  • Aliyu Shehu Yakubu, Azleena Mohd Kassim, Mohd Heikal Husin, 2023. Conceptualizing hybrid model for influencing intention to adopt cloud computing in North-Eastern Nigerian academic libraries, Journal of Academic Librarianship, 49(4), 102747 https://doi.org/10.1016/j.acalib.2023.102747 
  • Tan Xue Ying, Azleena Mohd Kassim, Nor Athiyah Abdullah, 2023. A Genetic Algorithm-based Group Formation to Assign Student with Academic Advisor: A Study on User Acceptance Using UTAUT. International Journal on Informatics Visualization, 2023, 7(3), pp. 967–976 http://dx.doi.org/10.30630/joiv.7.3.1667
  • Khalid Fahad Alotaibi, Azleena Mohd Kassim, 2023. Digitization in Dentistry: A Conceptual Framework for Digital Dental Technologies and Dental Informatics in Dental Practice. International Journal of Intelligent Systems and Applications in Engineering, 2023, 11(3), pp. 965–974
  • Khalid Fahad Alotaibi, Azleena Mohd Kassim, 2023. Factors That Influence the Adoption of Digital Dental Technologies and Dental Informatics in Dental Practice. International Journal of Online and Biomedical Engineering (iJOE), 19(15), pp. 1–24. https://doi.org/10.3991/ijoe.v19i15.43015

2022

  • Thaeer Mueen Sahib, Rosmiwati Mohd Mokhtar, Azleena Mohd Kassim, 2022. Survey on Meta-Heuristic Algorithms for Solving Vehicle Route Problems in a Waste Collection System. In: Mahyuddin N.M., Mat Noor N.R., Mat Sakim H.A. (eds) Proceedings of the 11th International Conference on Robotics, Vision, Signal Processing and Power Applications. Lecture Notes in Electrical Engineering, vol 829. Springer, Singapore. https://doi.org/10.1007/978-981-16-8129-5_57
  • Putra Sumari, Azleena Mohd Kassim, Song-Quan Ong, Song-Quan, Gomesh Nair, Al Dabbagh Ragheed, Nur Farihah Aminuddin, 2022. Classification of Jackfruit and Cempedak using Convolutional Neural Network and Transfer Learning. IAES International Journal of Artificial Intelligence , 11(4), pp. 1353–1361. DOI: 10.11591/ijai.v11.i4.pp1353-1361
  • Zanizam, M.A., Kamal, M.D.M., Rahim, M.F.I.A., Norulhaizy, M.F., Kassim, A.M. 2022. The Efficiency of Hybridised Genetic Algorithm and Ant Colony Optimisation (HGA-ACO) in a Restaurant Recommendation System. ASM Science Journalthis link is disabled, 2022,17.   https://doi.org/10.32802/asmscj.2022.1322
  • Azleena Mohd Kassim, Noor Nazirulsyahmi Zulkifli, Muhammad Fitry Rahim and Pantea Keikhosrokiani, 2022. Predicting The Use of a Knowledge-Based System for Collaborative Surgical Team, Journal of Physics: Conference Series, 2022, 2356(1), 012038. doi: 10.1088/1742-6596/2356/1/012038

2021

2020

  • Julius Olusegun Oyelami, Azleena Mohd Kassim. Cyber Security Defence Policies: A Proposed Guideline for Organisations Cyber Security Practices,  International Journal of Advanced Computer Science and Applications, 2020, 11(8), pp. 131-138
  • Oyelami Julius Olusegun, Azleena Mohd Kassim. Identified Human Factors in Knowledge Management for the Context of Knowledge Sharing, The Applied Informatics International Conference, 12-13 August 2020. 
  • Jasy Suet Yan, Liew, Je Sen Teh, Azleena Mohd Kassim, Kee Chong Wei, Rosni Abdullah. (2020). Girls2Code: Cultivating interest in programming among young girls in Malaysia by making drawings come to life. Science, Technology, Engineering and Mathematics Education for Girls and Women in Asia-Pacific. UNESCO

2019

  • Azleena Mohd Kassim, Mohd Fitry Rahim,  "A Knowledge-based Approach for a Collaborative Surgical Team," 2019 IEEE Conference on Sustainable Utilization and Development in Engineering and Technologies (CSUDET), Penang, Malaysia, 2019, pp. 143-147, doi: 10.1109/CSUDET47057.2019.9214700

 

2018

  • Azleena Mohd Kassim, Yu-N Cheah, A Social – and Knowledge-Based Coalition Formation using Ontology and Social Networks. Journal of  Fundamental of Applied Science, 2018, 10(2S), 1013-1027
  • Azleena Mohd Kassim, Yu-N Cheah, Ismail,  Bukhary Ikhwan Ismail, Knowledge Representation of Social and Coalition Factors in Coalition Formation using an Ontology Framework, International Journal of Knowledge Engineering, 2018, Vol 4(1), pp. (1-9).

 

 2013

  • Azleena Mohd Kassim, Yu-N Cheah, SEMblog: An Ontology-Based Semantic Blogging Tool for Knowledge Identification, Organization, and Reuse, Chapter in a Book: Ontology-Based Applications for Enterprise Systems and Knowledge Management Copyright © 2013, pp.  210-223

2010

  • Azleena Mohd Kassim, Yu-N Cheah, Intan Hashimah Mohd Hashim, Identifying social factors and representation for knowledge based coalition formation systemIdentifying social factors and representation for knowledge based coalition formation system (2010) Proceedings 2010 International Symposium on Information Technology - System Development and Application and Knowledge Society, ITSim'10, 3, art. no. 5561494, pp. 1450-1455.
  • Azleena Mohd Kassim, Yu-N Cheah,  Intan Hashimah Mohd Hashim, “Adapting Social Factors in Ontology Representation for a Knowledge Based Coalition Formation System”, 2nd International Conference on Information and Multimedia Technology (ICIMT 2010), Hong Kong, China, pp. 244 – 248, 28-30 December 2010

< 2009

  • Azleena Mohd Kassim and Yu-N Cheah, “A knowledge-based approach for computational cultural dynamics on the semantic web”, Proceedings of the IADIS International Conference Applied Computing 2009, Rome, Italy, Vol. 2. IADIS Press, pp. 317-320, 19-21 November 2009
  • Azleena Mohd Kassim and Yu-N Cheah, “A Knowledge and Ontology-Based Coalition Formation Using Social Network Analysis”, The 2009 International Conference on Information and Knowledge Engineering (IKE'09), USA, pp. 622-626, July 13-16, 2009
  • Azleena Mohd Kassim, Muhamad Rashidi A Rahman and Yu-N Cheah, “A Knowledge-Based E-mail System Using Semantic Categorization and Rating Mechanisms”, World Academy of Science, Engineering and Technology International Journal of Computer and Information Engineering Vol:2, No:9, pp. 2898-2902, 2008
  • Azleena Mohd Kassim and Yu-N Cheah, “Using Semantic Web, Ontologies and Blogs for Knowledge Identification, Organisation and Reuse”, International Conference on Electrical Engineering and Informatics 2007 (ICEEI 2007), Institut Teknologi Bandung, Indonesia, pp. 17-19, June 17-19, 2007

Supervision

  • PHD: Main supervisor: Oyelami Julius Olusegun, Doctor of Philosophy, Research - Full Time, Knowledge Management Assurance Model for Intelligent Cybersecurity Defence System
  • PHD: Main supervisor:  Alotaibi Khalid Fahad F , Doctor of Philosophy, Research - Full Time, Conceptual Model and Practical Roadmap for Technological Factors Affecting the Selection of EHR System for Hospitals.
  • PHD: Main supervisor: Yu Zhengfu, 2022, Doctor of Philosophy, Research - Full Time, Research on the Visualization of Subject Service of Chinese University Libraries Based on Knowledge Graph
  • Masters (Research), Main supervisor: Noor Nazirulsyahmi Bin Zulkifli, 2022, Master, Research - Full Time, A Multi-Objective Genetic Algorithm Based on Clustering Approach For Collaborative Surgical Team Formation
  • PHD: Co-supervisor: Aliyu Yakubu Shehu , Doctor of Philosophy, Research - Full Time, Assessing the Determinants for Adoption of Automation System in Academic Libraries in Bauchi State, 2020- current
  • PHD: Co-supervisor: Thaeer Mueen Sahib, Doctor of Philosophy, Research - Full Time, Automation System for Solid Waste Disposal Using Programmable Logic Controller, 2020- current
  • PHD: Co-supervisor: Hammood Mohammed Neamah Hammood, 2022, Doctor of Philosophy, Research - Full Time, A Systematic Literature Review on Job Matching Methods in Crowdsourcing Application 
  • Masters:
    • Masters in Comp Science (mixed mode): Zhang Haotian, A hotel rating model based on user reviews using TF-IDF approach and three-layer bidirectional LSTM, 2021
    • Masters in Informatics: Faizilah Binti Ab Halim, Acceptance on the Conceptual System Architecture Design of Unstructured Medical Record Data Conversion, 2021.
    • Masters in Informatics:  Norhanizah Binti Minin, A Decision Making Approach to Form a Collaborative Team in Organization, 2019.
    • Masters in Informatics: Muhammad Fitry Bin Rahim, A Knowledge-Based System For Collaborative Medical Team, 2019
    • Masters in DataScience: Ameer Zaaman bin Raja Salim, Prediction of Execution Time for PCIe performance with Regression Models, 2021
    • Masters in DataScience: Zam Zam Syafurah Binti Samsudin, Fuzzy rough set models for machine learning, 2021
    • Masters in DataScience: Nur Farahin Binti Hanafi Chia, Forecast target sales and enhance performance of KPI system by apply business intelligence analysis, 2021
    • Masters in DataScience: Phang Yuen Chi, Text mining on social media to explore health-related concerns among thalassemia patients and their caregivers using Topic Modelling, 2020.
    • Masters in DataScience: Choy Wah Chyang, Prediction of carbon monoxide (CO) atmospheric pollution concentrations using meteorological variable, 2019.
    • Masters in DataScience: Stephanie A/p Segaran, Rainfall Prediction Using Machine Learning Approach to Reduce the Number of Flood Affected Areas in Penang, 2019.

Teaching

CSE241 Foundations of Software Engineering
CMT221/CMM222: Database Organisation & Design

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School of Computer Sciences, Universiti Sains Malaysia, 11800 USM Penang, Malaysia
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