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Dr.Abdulaziz Abdullah Saad Aldaej

Associate Professor College of Computer Engineering & Sciences
  • Al Kharj - Main campus
  • 011-588-8389
  • a.aldaej@psau.edu.sa
  • Curriculum Vitae
  • Publications

Education

  • 2015: PhD in Computing, University of Surrey, UK,

  • 2010: MSc in Information Systems, University of Surrey, UK.

  • 2008: BSc in Information Systems, Al-Imam Mohamed Bin Saud University, Riyadh, Saudi Arabia.

Research Interests

  • Digital Transformation.
  • IoT.
  • Web Development.
  • Network Security.
  • Semantic Web.

Experience

  • 2021 - until now - Dean of IT - Prince Sattam Bin Abdulaziz University
  • 2015 - 2019 - Vice Dean - College of Computer Engineering & Science
  • 2019 - 2020 - CEO of the 4th Strategic goal - Prince Sattam Bin Abdulaziz University
  • 2020 - 2021 - Vice Dean of eServices - Information Technology & Distance Learning Deanship

Responsibilities

  • Member of the establishing new academic programs committee in aligning with the Kingdome vision 2030, Prince Sattam bin Abdulaziz University.
  • Chair of the ERP project executive committee of HR, Prince Sattam bin Abdulaziz University.
  • Member of the executive committee of intellectual property program technical license, Prince Sattam bin Abdulaziz University.

Publications

  • Aldaej, A., 2022. IOT-INSPIRED SMART HEALTHCARE FRAMEWORK FOR DIABETIC PATIENTS: FOG COMPUTING INITIATIVE. International Journal of Innovative Computing, Information and Control, 18(3), pp.917-939.
  • Aldaej, A., Ahanger, T.A., Atiquzzaman, M., Ullah, I. and Yousufudin, M., 2022. Smart Cybersecurity Framework for IoT-Empowered Drones: Machine Learning Perspective. Sensors, 22(7), p.2630.
  • Aldaej, A., Ahanger, T.A., Uddin, M.Y. and Ullah, I., 2022. Secure Dengue Epidemic Prediction System: Healthcare Perspective. CMC-COMPUTERS MATERIALS & CONTINUA, 73(1), pp.1723-1745.
  • Louati, A., Lahyani, R., Aldaej, A., Aldumaykhi, A. and Otai, S., 2022. Price forecasting for real estate using machine learning: A case study on Riyadh city. Concurrency and Computation: Practice and Experience, 34(6), p.e6748.
  • Ahanger, T.A., Tariq, U., Nusir, M., Aldaej, A., Ullah, I. and Sulman, A., 2022. A novel IoT–fog–cloud-based healthcare system for monitoring and predicting COVID-19 outspread. The Journal of Supercomputing, 78(2), pp.1783-1806.
  • Louati, H., Louati, A., Bechikh, S., Masmoudi, F., Aldaej, A. and Kariri, E., 2022. Topology optimization search of deep convolution neural networks for CT and X-ray image classification. BMC Medical Imaging, 22(1), pp.1-11.
  • Ahanger, T.A., Aldaej, A., Atiquzzaman, M., Ullah, I. and Uddin, M.Y., 2022. Securing Consumer Internet of Things for Botnet Attacks: Deep Learning Approach. CMC-COMPUTERS MATERIALS & CONTINUA, 73(2), pp.3199-3217.
  • Louati, H., Bechikh, S., Louati, A., Aldaej, A. and Said, L.B., 2022. Joint design and compression of convolutional neural networks as a Bi-level optimization problem. Neural Computing and Applications, pp.1-23.
  • Ahanger, T.A., Aldaej, A., Atiquzzaman, M., Ullah, I. and Yousufudin, M., 2022. Federated Learning-Inspired Technique for Attack Classification in IoT Networks. Mathematics, 10(12), p.2141.
  • Louati, A., Lahyani, R., Aldaej, A., Mellouli, R. and Nusir, M., 2021. Mixed integer linear programming models to solve a real-life vehicle routing problem with pickup and delivery. Applied Sciences, 11(20), p.9551.
  • Louati, H., Bechikh, S., Louati, A., Aldaej, A. and Said, L.B., 2021, July. Evolutionary optimization of convolutional neural network architecture design for thoracic x-ray image classification. In International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (pp. 121-132). Springer, Cham.
  • Ahanger, T.A., Bhatia, M. and Aldaej, A., 2021. Game theory-based performance assessment of police personnel. Journal of Ambient Intelligence and Humanized Computing, pp.1-16.
  • Tariq, U. and Aldaej, A., 2020. Advancing an in-memory computing for a multi-accent real-time voice frequency recognition modeling: a comprehensive study of models & mechanism. Multimedia Tools and Applications, 79(37), pp.27705-27720.
  • Said, R., Bechikh, S., Louati, A., Aldaej, A. and Said, L.B., 2020. Solving Combinatorial Multi-Objective Bi-Level Optimization Problems Using Multiple Populations and Migration Schemes. IEEE Access, 8, pp.141674-141695.
  • Tariq, U. and Aldaej, A., 2018. Outlook of Coordinated Transmission Control in 5G Networks for IoTs. International Journal of Computers, Communications & Control, 13(2).
  • Aldaej, A. and Tariq, U., 2018, April. IoT in 5G aeon: an inevitable fortuity of next generation healthcare. In 2018 1st International Conference on Computer Applications & Information Security (ICCAIS) (pp. 1-4). IEEE.
  • Aldaej, A., 2017, November. Information security and distributed denial of service attacks: A survey. In 2017 International Conference on Electrical and Computing Technologies and Applications (ICECTA) (pp. 1-6). IEEE.
  • Aldaej, A. and Ahamad, T., 2016. AAODV (aggrandized ad hoc on demand vector): a detection and prevention technique for manets. International Journal of Advanced Computer Science and Applications (IJACSA), 7(10), p.2016.
  • Aldaej, A.A. and Krause, P., 2014, October. An Enhanced Approach to Semantic Markup of VLEs Content Based on Schema. org. In LILE@ ISWC.
  • Aldaej, A., Krause, P. and Strømmen-Bakhtiar, A., 2012, October. E-Learning evolution: Next Steps Semantic web and foundations of E-learning. In E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education. Association for the Advancement of Computing in Education (AACE).

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