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Professor Dr. Mohammad Mehedi Hassan

Professor

Information Systems Department

علوم الحاسب والمعلومات
Building No: 31, Room No: 2098, College of Computer and Information Sciences
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Student Supervision

PhD Thesis Supervision/Co-Supervision 

  • 2014- 2018: PhD Thesis Supervisor, A Dynamic and Intelligent Event Matching Service for Semantic Publish-Subscribe System in the Internet of Things Environment  (Noura Alhakbani)
  • 2015-2018: PhD Thesis Co-Supervisor, A Framework for Selecting Cloud Computing Services using Multi-Criteria Decision-Making (Abdullah Mohammed Al-Faifi)
  • 2015-2019: PhD Thesis Supervisor, Efficient Discovery of Productive Periodic-frequent Patterns from Body Sensor Networks (Walaa Nagy)
  • 2016-2021, PhD Thesis Co-Supervisor, A Novel Hybrid Ranking Model for Measuring Organizations’ Reputation in Online Social Networks (Sami Ali Al-Yazidi)
  • 2018-2022: PhD Thesis Co-Supervisor, An Intelligent and Efficient Privacy Preservation Mechanism for Edge Computing Healthcare Systems (Mohammed Abdullah Al-Sahli)
  • 2016-2022: PhD Thesis Supervisor, A framework for Mobile Edge Computing Based on Intensive Tasks Offloading and Effective Resource Management Mechanism (Taha Alfaqih)
  • 2016-2022: PhD Thesis Supervisor, Autonomic and intelligent resource provisioning for cloud computing services  (Mahfoudh Saeed Al-Asaly)
  • 2019-2023, PhD Thesis Supervisor, Rule Extraction from Deep Learning Models for Network-based Intrusion Detection System under Adversarial Environment (Samah Al-Mutlaq)
     
  • 2018-2023, PhD Thesis Supervisor, Smartphone-Based Infrastructure-less Indoor Localization and Tracking with Machine Learning: A Multi-Layered Approach (Abdullah Mohammed Mutlaq AlSahly)
  • 2019-present, PhD Thesis Supervisor, A Novel Explainable Multi-schema-based Triage Framework for Emergency Department Based on Machine Learning Paradigm (Alaa Mohammad Menshawi)
     
  • 2022- Present, PhD Thesis Supervisor. Multi-model deep learning approach for predicting Saudi stock trends (Abdullah Ali Almusned)

 

MS Thesis/Project Supervision 

  • 2016-2017: Master Thesis Supervisor, An Efficient Framework of Cloud-based Internet of Things (IoT) for Pervasive Healthcare (Hanouf Saad Albakr )
  • 2016-2017: Master Thesis Supervisor, Predicting Telecommunication Customer Churn Using Data Mining Techniques (Diana AlOmari)
  • 2015-2017: Master Project Supervisor, A Publish/Subscribe Model for Cloud-Based Mobile Internet Protocol Television (IPTV) Surveillance Systems (Tsaheel Mohammad Al-Mudaihesh)