The Daily Life of a PhD Student

The daily life of a PhD student may differ significantly from that of an undergraduate or Masters student. There will be much more independence and very few 'taught' elements. A typical week will almost certainly include the same number of PhD study hours as a full-time job. This page will give you an idea of what daily routine will be like as a PhD student. You can see my students' sharing materials.

Google Scholar- Dr MSO

Latest article

1. Zhu, L., Othman, M. S. B., & Yusuf, L. B. M. (2025). Relationship between language preferences and performance in the use of management information systems by university faculty and staff. Frontiers in Language Studies, 7(2). https://doi.org/10.30564/fls.v7i2.8262
2. Saleh, D. S., Othman, M. S., Khudhur, W. O., & Aljabarti, E. A. (2025). Effective techniques for handling missing values in thyroid disease diagnosis: A comparative analysis. Advances in Computational Intelligence Systems, 7(2). https://doi.org/10.1155/acis/2766701
3. Li, J., Chen, H., Othman, M. S., Salim, N., Yusuf, L. M., & Kumaran, S. R. (2025). NFIoT-GATE-DTL IDS: Genetic algorithm-tuned ensemble of deep transfer learning for NetFlow-based intrusion detection system for internet of things. Engineering Applications of Artificial Intelligence, 143, 110046. https://doi.org/10.1016/j.engappai.2025.110046
4. Li, J., Othman, M. S., Hewan, C., & Yusuf, L. M. (2024). IoT security: A systematic literature review of feature selection methods for machine learning-based attack classification. International Journal of Electronic Security and Digital Forensics, 17(1-2), 60-107. https://doi.org/10.1504/IJESDF.2025.143475
5. Zhu, L., Othman, M. S. B., Yusuf, L. B. M., & Sun, X. (2025). User acceptance and sustainable adoption of university management information systems: A cross-cultural study. Salud, Ciencia y Tecnología-Serie de Conferencias, 13. https://doi.org/10.56294/sctconf20251239
6. Badauraudine, M. F. M., Noor, M. N. M. M., Othman, M. S., & Nasir, H. B. M. (2024). Detection and tracking of people in a dense crowd through deep learning approach: A systematic literature review. Information Research Communications, 1(2), 65-73. https://doi.org/10.5530/irc.1.2.10

Phd students

Computer Science

No	Name	Title	File
1	Li Jing	Optimized Attack Classification Framework for Internet of Things Security using Feature Selection and Deep Transfer Learning
2	Rozilawati Dollah @ Md Zain	An Ontology Based Model for Biomedical Text Classification
3	Shamini Raja Kumaran	Enhanced Classification Techniques Based on Gene Manipulation for Cancer Microarray Data
4	Dewi Octaviani	Semantic Model for Mining E-Learning Usage with Ontology and Meaningful Learning Characteristics
5	Bahram Amini Valashani	An Ontology-Based Recommender System using Scholar’s Background Knowledge
6	Arda Yunianta	Ontology-Based Semantic Heterogeneous Data Integration Framework for Learning Environment

Other student

No	Name	Title	File
1	Xu Deren	Blended Ensemble Model for Prediction of Infectious Diseases

Social Science

No	Name	Title	File
1	Ernie Mazuin Mohd Yusof	Individual Level Determinants Model for Benefit Use of Business Intelligence in Malaysia Manufacturing Organizations
2	Qusay Sabah Ishaq Al-Maatouk	Social Media Utilization Model for the Improvement of Academic Performance at Malaysian Higher Education Institutions
3	Nur Shamsiah Abdul Rahman	A Model of Behaviour Intention Factors on Social Media Use for Collaborative Learning Affecting Teaching and Learning
4	Waleed Mugahed Ali Al-Rahmi	The Impact of Social Media Use in Collaborative Learning Towards Learning Performance Among Research Students
5	Mahdi Alhaji Musa	Knowledge Map, Enterprise Ontology and Lean for enhancing Business Process Re-Engineering in Healthcare

📖 Phd: Proposal

No	Name	Title	File
1.	Zhu Chaihua	A Model of Customer Stickiness for Cross-Border Social E-Commerce Platform in China
2.	Zhu Linnan	Investigating User Factors in Management Information System Adoption and Implementation in Higher Education Institutions
3.	Li Jing	Enhanced Attack Detection and Classification Techniques Based on Feature Manipulation of IOT Data for IOT Security
4.	Saleh Dhekre Saber Saleh	A Predictive Analysis Framework of Thyroid Disease Using Machine Learning Approaches

📖 MSc Data Science

No	Name	Title	File
1.	Nur Afrina Binti Mohamad Abdul Ghafar	Cooking Oil Price Forecasting Using SARIMA and LSTM in Malaysia
2.	Abubakar Sadiq Muahammad	Sentiment Analysis and Rating Prediction for an E-Commerce Platforms in Malaysia using CNN and LSTM

Research Material

Contribution 🛠️

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