Wan Mohd Nazmee Wan Zainon, Associate Professor Dr.

 

  •   Nazmee1



  • Associate Professor

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

    Tel : +604 653 4638
    Fax : +604 653 3335
    Room : 713

    School of Computer Sciences, Universiti Sains Malaysia, 11800 USM, Pulau Pinang

    Research Cluster

    Data To Knowledge



  • Research Interest

    • Software Engineering (reuse, requirement engineering & software design pattern)
    • Multimedia Information Retrieval
    • Computer Games, Graphics & Animations
    • Big Data Analytics & Data Mining
    • UX Design

    Specialization

    • Visual Computing & Analytics
    • Information Visualization
    • Multimedia & Animations
    • Software Engineering (Software reuse, Requirement Engineering etc)

Qualifications

B.Comp. Sc. (Hon.), M.Sc., PhD., USM 

Interests

Discussions and applications for postgraduate research 
(in all area listed above) are welcome.

Projects - Principal Investigator

A Visual Comparison Technique for Phylogenetic Trees (USM Short Term Grant - March 2010 – March 2012 (RM 39,982.00))

Computer Science Community Awareness and Education Week 2010: Raising Awareness of Computing and Its Sustainable Role in Society, (BJIM USM Community Grant - March - December 2010 (RM 25,000.00)).

A Study on ModelingNoecortex Inspired Memory System and its Neurogenetic Connections: Towards Machine Intelligence (Fundamental Research Grant (FRGS), 1 April 2011 - 31March 2013 (RM 58,500.00))

Medical Family Tree Data Exploration Using Visual Data Mining (USM Research University - Individual (RUI) Grant -  15 December 2012 - 14 December 2015 (RM 162,584.52) )

A New Approach for Enhancing the Retrieval of Software Design Specification (Fundamental Research Grant (FRGS), August 2016 - July 2018 (RM 62,200.00)).

A Visual Approach for Understanding Heredity Information Based on Medical Genogram, (USM Research University - Individual (RUI) Grant - Mac 2017 – February 2019 (RM 69,200.00)).

 

Publications
(Limited to the last 5 years)

2024

Mullah, N.S., Zainon, W.M.N.W. & Ab Wahab, M.N, Transfer learning approach for identifying negative sentiment in tweets directed to football players. Engineering Applications of Artificial Intelligence, 2024. https://doi.org/10.1016/j.engappai.2024.108377

Ridzuan, F., & Wan Zainon, W. M. N., A Review on Data Quality Dimensions for Big Data. Procedia Computer Science, 234, pp 341-348,ISSN 1877-0509, (2024). https://doi.org/10.1016/j.procs.2024.03.008

2023

Ayuba, S., Wan Zainon, WMN. Medical Image Watermarking: A Survey on Applications, Approach and Performance Requirement and Compliance. International Journal of Multimedia Information Retrieval, 12, 33 (2023). https://doi.org/10.1007/s13735-023-00290-9

An, J. & Wan Zainon, WMN, Integrating color cues to improve multimodal sentiment analysis in social media,
Engineering Applications of Artificial Intelligence, 126, Part A, (2023) ISSN 0952-1976. https://doi.org/10.1016/j.engappai.2023.106874

Alsharari, A.S., Wan Zainon, W.M.N., Letchmunan, S., Mohammed, B.A., Alsharari, M.S. A Review of Agile Methods for Requirement Change Management in Web Engineering (2023) International Conference on Smart Computing and Application, ICSCA 2023. DOI: 10.1109/ICSCA57840.2023.10087734

An, J., Wan Zainon, W.M.N. & Zainon, W. An interactive visualization of location-based reviews using word cloud and OpenStreetMap for tourism applications. Spat. Inf. Res. 31, 235–243 (2023). https://doi.org/10.1007/s41324-022-00492-z

An, J., Wan Zainon, W.M.N and Z. Hao, "Improving targeted multimodal sentiment classification with semantic description of images," Computers, Materials & Continua, vol. 75, no.3, pp. 5801–5815, (2023). https://doi.org/10.32604/cmc.2023.038220

An, J., Wan Zainon, W.M.N and Ding, B. "Leveraging vision-language pre-trained model and contrastive learning for enhanced multimodal sentiment analysis," Intelligent Automation & Soft Computing, vol. 37, no.2, pp. 1673–1689, 2023. https://doi.org/10.32604/iasc.2023.039763

2022

Mullah, N.S., Zainon, W.M.N.W. Improving detection accuracy of politically motivated cyber-hate using heterogeneous stacked ensemble (HSE) approach.Journal of Ambient Intelligence and Humanized Computing (2022). https://doi.org/10.1007/s12652-022-03763-7

Madaki, A. A., & Zainon, W. M. N. W. (2022). A visual framework for software requirements traceability. Bulletin of Electrical Engineering and Informatics, 11(1), 426-434. https://doi.org/10.11591/eei.v11i1.3269

Ridzuan, F., W. M. N. Wan Zainon, and M. Zairul. (2022). A Thematic Review on Data Quality Challenges and Dimension in the Era of Big Data. Lecture Notes in Electrical Engineering. Vol. 770. https://doi.org/10.1007/978-981-16-2406-3_56

Jimale, A. O., W. M. N. W. Zainon, and Y. A. Ahmed. (2022). Implementation of Deaf-Blind-Dysgraphia Communication Technique for Disabled Students in Somalia. Lecture Notes in Electrical Engineering. Vol. 770. https://doi.org/10.1007/978-981-16-2406-3_5. 

Alhassan, A. M., & Zainon, W. M. N. W. (2022). Atom taylor bird swarm algorithm-based deep belief network for incremental classification using medical data. Journal of Ambient Intelligence and Humanized Computing, 13(1), 359-380. https://doi.org/10.1007/s12652-021-02905-7

2021

A. M. Alhassan and W. M. N. W. Zainon, (2021) "Review of Feature Selection, Dimensionality Reduction and Classification for Chronic Disease Diagnosis," in IEEE Access, doi: 10.1109/ACCESS.2021.3088613

N. S. Mullah and W. M. N. W. Zainon, (2021) "Advances in Machine Learning Algorithms for Hate Speech Detection in Social Media: A Review," in IEEE Access, doi: 10.1109/ACCESS.2021.3089515

Alhassan, A.M., Zainon, W.M.N.W. Brain tumor classification in magnetic resonance image using hard swish-based RELU activation function-convolutional neural network. Neural Comput & Applic (2021). https://doi.org/10.1007/s00521-020-05671-3

Singh, M. M., R. Frank, and W. M. N. Wan Zainon. 2021. "Cyber-Criminology Defense in Pervasive Environment: A Study of Cybercrimes in Malaysia." Bulletin of Electrical Engineering and Informatics 10 (3): 1658-1668. doi:10.11591/eei.v10i3.3028

Ridzuan, F., & Wan Zainon, W. M. N. (2021). Diagnostic analysis for outlier detection in big data analytics. Procedia Computer Science, , 197 685-692. doi:10.1016/j.procs.2021.12.189

2020

Aminuddin, M.A.I.M., Osman, M.A., Zainon, W.M.N.W., Talib, A.Z. Location tracking and location prediction techniques for smart traveler apps (2020) Advances in Intelligent Systems and Computing, 1037, pp. 83-96. DOI: 10.1007/978-3-030-29516-5_8

A. M. Alhassan and W. M. N. W. Zainon, "BAT Algorithm With fuzzy C-Ordered Means (BAFCOM) Clustering Segmentation and Enhanced Capsule Networks (ECN) for Brain Cancer MRI Images Classification," in IEEE Access, vol. 8, pp. 201741-201751, 2020, doi: 10.1109/ACCESS.2020.3035803.

Alhassan AM, Wan Zainon WMN. Taylor Bird Swarm Algorithm Based on Deep Belief Network for Heart Disease Diagnosis. Applied Sciences. 2020; 10(18):6626. https://doi.org/10.3390/app10186626

Supervision (Main Supervisor)

Graduated

PhD.

1. Alhassan Adamu, 2017. Multi-View Retrieval of Software Design Specifications Using Similarity Assessment Approach. (GOT)

2.  Fakhitah Ridzuan, 2021. Framework To Enhance Veracity And Quality Of Big Data.

3. Alhassan Afnan Mohammed A, 2022. Taylor-Bird Swarm Optimization-Based Deep Belief Network for Medical Data Classification

4. Mullah Nanlir Sallau, 2023. Enhanced Heterogeneous Stacked Ensemble Machine Learning Model for Detecting Nigerian Politically Motivated Cyberhate

5. An Jieyu, 2024. Multimodal Sentiment Analysis of Social Media Through Deep Learning Approach.

MSc. Research

1. Siti Fatimah Bokhare, 2018. Genogram Visualization Using Social Network Approach For Medial Family Tree. 

2. Abdulkadir Ahmad Madaki, 2023. A Visual Approach for Requirement Traceability


MSc. Mixed-mode Dissertation

1. Ali Olow Jimale, 2018. A Part of Speech Tagging Approach for Detecting Syntax and Syntactic Ambiguities In Software Requirements Specifications. 

2. Chai Jian Wei, 2019. Smart Connected Mailbox System for Parcel Collection. MSc. Embedded System Design Engineering 


MSc. Data Science Dissertation

1. Joel Goh Yie Ming, 2020.Ship Planning And Capacity Planning Dashboards

2. Vemal A/L Kathirvelu, 2021. Dashboard Visualization for Product Debug

3. Puovin A/L Murugaiah, 2021. Systems Integration & Manufacturing Services (Sims) Factory Innovative Dashboard

4. Mow Yong Ying, 2021. X-Ray's Image Classification and Machine Learning Training of Knee Osteoarthritis

5. Ramaneey A/P Subramaniam, 2022. Modelling of Frequent Item sets In Apx Factory Orders Using Machine Learning

6. Nurizzaty Binti Abu Bakar, 2022. Predicting The Potential Return Product with Machine Learning Based On Historical Data

7. Leow Thai Ming, 2022. Wafer Mask Validation and Misalignment Detection Solution

8. Choo Jai Wei, 2022. Prediction and Optimization On Power Consumption, Availability, Investment and Failure Impact

Active Research Students

  1. Alsharari Abdullah Sabih D, PhD.
    Requirements Change Management In Web Engineering Projects Using Agile Methods, 2017 - present

  2. Allehaidan Ahmed Freeh M, PhD.
    Developing a Framework for the Software Testing Practice by Using Grounded Theory, 2019 - present

  3. Ye Yifan, PhD.
    Research on Image Defogging Algorithm Based on Dark Channel Prior.. 2021 - present

  4. Jin XinXin, PhD.
    Construction of Virtual Simulation Experiment Teaching Platform based on VR Technology. 2022 - present

  5. Ayuba Shehu, PhD.
    Image Processing for Effective Information Security for Medical Images. 2022 - present

  6. Zhu  Lihong, PhD.
    Key Technologies of Computer Graphics Image Processing. 2022 - present

  7. Zaben Sufyan Othman Zaben, PhD.
    Classification of Lung Diseases Based on the X-Ray Image. 2023 - present

  8. Li Wanman, PhD.
    Adversarial Attacks and Defenses in Explainable Deep Learning for Leukemia Image Analysi. 2023 - present

Teaching

  1. CSE242/ CPT243 - Software Requirement Analysis & Modeling
  2. CPT343/CPM314 - Software Project Management, Process and Evolution
  3. CAT304 Group Innovation Project and Study for Sustainability
  4. CMT223/CMM322 - Information Systems Theory and Management
  5. CPT324 - Computer Graphics and Visual Computing
  6. CAT200 - Integrated Software Development Workshop
  7. CMT424 – Animation & Virtual Reality
  8. CCS 593 - Advanced Algorithms and Complexity
  9. CMT222/CMM321- Systems Analysis & Design
  10. CAT 301 - Research Methods and Special Topic Study
  11. CPT113- Programming Methodology & Data Structures
  12. CMM111- Information Technology Concepts & Skills
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School of Computer Sciences, Universiti Sains Malaysia, 11800 USM Penang, Malaysia
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  • Last Modified: Thursday 14 November 2024.