Loading CV, please wait...

CURRICULUM VITAE

DR. ABDALLAH OSAMA HAMDAN ABDELLATIF
DR. ABDALLAH OSAMA HAMDAN ABDELLATIF
Lecturer
Photonics Research Centre (prc)
Photonics Research Centre
ResearcherID
Scopus Author ID

BIOGRAPHY

Dr. Abdallah Abdellatif is an interdisciplinary researcher specializing in the development and application of artificial intelligence across diverse scientific and engineering fields. He holds a Bachelor’s degree in Mechanical Engineering, Master’s degrees in Control Engineering and Control Systems, and a PhD in Machine Learning, with research expertise in advanced machine learning, intelligent optimization, and data-driven modeling.

He is currently a lecturer at the Photonics Research Centre, University of Malaya, where he contributes to teaching, research, laboratory instruction, and student project supervision. His work focuses on applying artificial intelligence and machine learning techniques to emerging scientific and engineering challenges.

His research demonstrates the versatility of AI in addressing complex real-world problems across multiple application areas, including fiber optics and photonics, renewable energy forecasting and optimization, healthcare and cardiovascular disease detection, vibration analysis, industrial automation, and intelligent autonomous systems. His recent work on AI-driven applications has resulted in publications in high-impact journals across several research fields.

Dr. Abdellatif has authored more than 30 peer-reviewed journal and conference papers. His research has received approximately 1,300 citations on Google Scholar (H-index 14) and approximately 680 on Web of Science (H-index 12). Through his interdisciplinary research, he continues to advance artificial intelligence as a versatile and effective tool for innovation across engineering, healthcare, energy, photonics, and autonomous technologies.

ACADEMIC QUALIFICATION

  • PhDElectr.Eng, (ELECTRICAL ENGINEERING)
    Universiti Malaya
  • MEng., (Mechanical Engineering)
    Universiti Tun Hussein Onn (uthm)
  • BEng(Mech.Eng), (Mechanical Engineering)
    Beirut Arab University

PUBLICATIONS

Article in Journal
WoS
  1. Abdellatif, A; Mubarak, H; Ramiah, H; Kanesan, J (2026). A physics-informed TA-GMM-HMM framework for probabilistic weather regime clustering and photovoltaic power prediction, STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT. 40, 24. doi:10.1007/s00477-026-03216-z
  2. Mubarak, H; Abdellatif, A; Stegen, S; Bai, FF; Sanjari, MJ (2026). Adaptive control and explainable decision-making in residential energy management using a SHAP-guided multi-objective framework, ENERGY AND BUILDINGS. 367, 22. doi:10.1016/j.enbuild.2026.117773
  3. Abdellatif, A; Mubarak, H; Abdellatef, H; Kanesan, J; Abdelltif, Y; Chow, CO; Chuah, JH; Gheni, HM; Kendall, G (2024). Computational detection and interpretation of heart disease based on conditional variational auto-encoder and stacked ensemble-learning framework, BIOMEDICAL SIGNAL PROCESSING AND CONTROL. 88. doi:10.1016/j.bspc.2023.105644
  4. Gheni, HM; Abdulrahaim, LA; Abdellatif, A (2024). Real-time driver identification in IoV: A deep learning and cloud integration approach, HELIYON. 10, 24. doi:10.1016/j.heliyon.2024.e28109
  5. Mubarak, H; Abdellatif, A; Ahmad, S; Islam, MZ; Muyeen, SM; Mannan, MA; Kamwa, I (2024). Day-Ahead electricity price forecasting using a CNN-BiLSTM model in conjunction with autoregressive modeling and hyperparameter optimization, INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS. 161, 15. doi:10.1016/j.ijepes.2024.110206
  6. Mubarak, H; Stegen, S; Bai, FF; Abdellatif, A; Sanjari, MJ (2024). Enhancing interpretability in power management: A time-encoded household energy forecasting using hybrid deep learning model, ENERGY CONVERSION AND MANAGEMENT. 315, 20. doi:10.1016/j.enconman.2024.118795
  7. Pourdaryaei, A; Mohammadi, M; Mubarak, H; Abdellatif, A; Karimi, M; Gryazina, E; Terzija, V (2024). A new framework for electricity price forecasting via multi-head self-attention and CNN-based techniques in the competitive electricity market, EXPERT SYSTEMS WITH APPLICATIONS. 235, 18. doi:10.1016/j.eswa.2023.121207
  8. Tan, PL; Kanesan, J; Chuah, JH; Badruddin, IA; Abdellatif, A; Kamangar, S; Hussien, M; Baig, MAA; Ahammad, NA (2024). Dual therapy of cancer using optimal control supported by swarm intelligence, BIO-MEDICAL MATERIALS AND ENGINEERING. 35(3), 249-264. doi:10.3233/BME-230150
  9. Hakim, M; Omran, AAB; Ahmed, AN; Al-Waily, M; Abdellatif, A (2023). A systematic review of rolling bearing fault diagnoses based on deep learning and transfer learning: Taxonomy, overview, application, open challenges, weaknesses and recommendations, AIN SHAMS ENGINEERING JOURNAL. 14(4). doi:10.1016/j.asej.2022.101945
  10. Khamis, A; Idris, A; Abdellatif, A; Rom, NAM; Khamis, T; Ab Karim, MS; Janasekaran, S; Abd Rashid, RB (2023). Development and Performance Evaluation of an IoT-Integrated Breath Analyzer, INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH. 20(2). doi:10.3390/ijerph20021319
  11. Mubarak, H; Hammoudeh, A; Ahmad, S; Abdellatif, A; Mekhilef, S; Mokhlis, H; Dupont, S (2023). A hybrid machine learning method with explicit time encoding for improved Malaysian photovoltaic power prediction, JOURNAL OF CLEANER PRODUCTION. 382. doi:10.1016/j.jclepro.2022.134979
  12. Mubarak, H; Sanjari, MJ; Stegen, S; Abdellatif, A (2023). Improved Active and Reactive Energy Forecasting Using a Stacking Ensemble Approach: Steel Industry Case Study, ENERGIES. 16, 32. doi:10.3390/en16217252
  13. Abdellatif, A; Abdellatef, H; Kanesan, J; Chow, CO; Chuah, JH; Gheni, HM (2022). An Effective Heart Disease Detection and Severity Level Classification Model Using Machine Learning and Hyperparameter Optimization Methods, IEEE ACCESS. 10, 79974-79985. doi:10.1109/ACCESS.2022.3191669
  14. Abdellatif, A; Abdellatef, H; Kanesan, J; Chow, CO; Chuah, JH; Gheni, HM (2022). Improving the Heart Disease Detection and Patients' Survival Using Supervised Infinite Feature Selection and Improved Weighted Random Forest, IEEE ACCESS. 10, 67363-67372. doi:10.1109/ACCESS.2022.3185129
  15. Abdellatif, A; Mubarak, H; Ahmad, S; Ahmed, T; Shafiullah, GM; Hammoudeh, A; Abdellatef, H; Rahman, MM; Gheni, HM (2022). Forecasting Photovoltaic Power Generation with a Stacking Ensemble Model, SUSTAINABILITY. 14(17). doi:10.3390/su141711083
  16. Alkawaz, AN; Abdellatif, A; Kanesan, J; Khairuddin, ASM; Gheni, HM (2022). Day-Ahead Electricity Price Forecasting Based on Hybrid Regression Model, IEEE ACCESS. 10, 108021-108033. doi:10.1109/ACCESS.2022.3213081
  17. Hakim, M; Omran, AAB; Inayat-Hussain, JI; Ahmed, AN; Abdellatef, H; Abdellatif, A; Gheni, HM (2022). Bearing Fault Diagnosis Using Lightweight and Robust One-Dimensional Convolution Neural Network in the Frequency Domain, SENSORS. 22(15). doi:10.3390/s22155793
  18. Msebawi, M. S., Leman, Z., Shamsudin, S., Tahir, S. M., Jaafar, C. N. A., Ariff, A. H. M., . . . Abdellatif, A. (2021). Production of Aluminum AA6061 Hybrid Nanocomposite from Waste Metal Using Hot Extrusion Process: Strength Performance and Prediction by RSM and Random Forest. Materials, 14(20), 25. doi: 10.3390/ma14206102
ESCI
  1. Sabbar, HM; Khalaf, RM; Mahdi, TS; Al-Alimi, SA; Altharan, YM; Abdellatif, AA (2025). Solution Heat Treatment Boosting Mechanical Properties of Recycled AA6061/(CuO+SiO2) Hybrid Nanocomposites, INTERNATIONAL JOURNAL OF HEAT AND TECHNOLOGY. 43(4), 1287-1294. doi:10.18280/ijht.430408
Scopus
  1. Abdellatif A., Mubarak H., Ramiah H., Kanesan J. (2026). A physics-informed TA-GMM-HMM framework for probabilistic weather regime clustering and photovoltaic power prediction, Stochastic Environmental Research and Risk Assessment. 40(5). doi:10.1007/s00477-026-03216-z
  2. Mubarak H., Abdellatif A., Stegen S., Bai F., Sanjari M.J. (2026). Adaptive control and explainable decision-making in residential energy management using a SHAP-guided multi-objective framework, Energy and Buildings. 367. doi:10.1016/j.enbuild.2026.117773
Article in Proceeding
WoS
  1. Mubarak, H; Sanjari, MJ; Stegen, S; Abdellatif, A; IEEE (2025). Explainable AI for Active/Reactive Power Prediction: A Transformer- Based Approach with SHAP Analysis, 2025 IEEE REGION 10 SYMPOSIUM, TENSYMP. . doi:10.1109/TENSYMP63728.2025.11179919
Scopus
  1. Mubarak H., Sanjari M.J., Stegen S., Abdellatif A. (2025). Voltage Regulation in High PV Penetration Networks: Evaluating Advanced Inverter Control Strategies in Distribution Systems, Conference Proceedings 2025 IEEE International Conference on Energy Technologies for Future Grids Etfg 2025. . doi:10.1109/ETFG61999.2025.11401140

RESEARCH PROJECT

National
  1. 2026 - 2028, Others MOHE - HiCoE
    Fiber Optic-Based Sensing Systems for Green Infrastructure and Grid Resilience ( Co-Researcher)