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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.

Latest article

  1. Winarni, S., Indratno, S. W., Othman, M. S., Mohd Hashim, S. Z., Mohamad, M. M., et al. (2026). Enhancing symbolic image classification through Gaussian copulas and optimized distinguishing points. PLOS ONE. https://doi.org/10.1371/journal.pone.0346790
  2. Zhu, L., Yusuf, L. M., & Othman, M. S. (2026). Adoption and effective use of management information systems in Chinese higher education (faculty attitudes, motivations and barriers): Evidence from Hebei province. Humanities and Social Sciences Communications. [https://doi.org/10.1057/s41599-026-06807-x]
  3. Li, J., Othman, M. S., Ying, X., Hassan, D. S. M., Chen, H., & Yusuf, L. M. (2026). Adaptive NetFlow IIoT intrusion detection with deep transfer learning, genetic optimization, and ensemble methods for network management. IEEE Transactions on Network and Service Management. [https://doi.org/10.1109/TNSM.2025.3617765]
  4. Adeyemo, S. O., Othman, M. S., Chan, W. H., Almarshadi, M. S., Mohd Hashim, S. Z., Tafa, T. O., & Yalwa, A. S. (2026). A deployment-oriented framework for machine learning-based learning style identification: A systematic computational analysis. International Journal of Advanced Computer Science and Applications, 17(3) [https://doi.org/10.14569/IJACSA.2026.0170367].
  5. Yang, X., Othman, M. S., Tian, L., Liang, C., Qi, D., & Wang, D. (2026). Developing digitalized green and low-carbon accounting: A case study of Guiyang City. In Proceedings of the 2025 4th International Conference on Mathematical Statistics and Economic Analysis (MSEA 2025) (pp. 98–109). Atlantis Press. [https://doi.org/10.2991/978-94-6463-992-6_11]
  6. Jailani, N. S., Mohamad, M. M., Munajat, M. D. E., Irawati, I., Nurasa, H., et al. (2026). Explainable artificial intelligence (XAI) for interpretable heritage building maintenance prediction. In Proceedings of the 2025 International Conference on AI-Driven Business Transformation and Data Science Innovation (ICBTDS 2025). ACM. [https://doi.org/10.1145/3786554.3786572]

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 Zhu Linnan A User Related Determinant Model In Management Information System For China Higher Education
2 Ernie Mazuin Mohd Yusof Individual Level Determinants Model for Benefit Use of Business Intelligence in Malaysia Manufacturing Organizations
3 Qusay Sabah Ishaq Al-Maatouk Social Media Utilization Model for the Improvement of Academic Performance at Malaysian Higher Education Institutions
4 Nur Shamsiah Abdul Rahman A Model of Behaviour Intention Factors on Social Media Use for Collaborative Learning Affecting Teaching and Learning
5 Waleed Mugahed Ali Al-Rahmi The Impact of Social Media Use in Collaborative Learning Towards Learning Performance Among Research Students
6 Mahdi Alhaji Musa Knowledge Map, Enterprise Ontology and Lean for enhancing Business Process Re-Engineering in Healthcare

📖 Phd: Proposal

No Name Title File
1. Abdulaziz Saidu Yalwa Modelling Students’ Continuance Intention to Use Generative AI in Higher Education
2. Adeyemo Sarafa Olasunkanmi Enhanced Learning Styles Identification Using Ensemble Deep Learning Techniques With Multimodal Data
3. Taofik Olasunkanmi Tafa Optimised Multimodal Approach For Neural Machine Translation Of Low-Resource Languages
4. Apri Junaidi Enhancing Rice Leaf Disease Detection: A Comprehensive Approach to Image Noise Reduction, Multi-Object Identification, and Small Object Detection
5. Zhu Chaihua A Model of Customer Stickiness for Cross-Border Social E-Commerce Platform in China
6. Zhu Linnan Investigating User Factors in Management Information System Adoption and Implementation in Higher Education Institutions
7. Li Jing Enhanced Attack Detection and Classification Techniques Based on Feature Manipulation of IOT Data for IOT Security
8. 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

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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.

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