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 Research Areas

Here are the ongoing research topics (for academic year: 2019-2020) on which the respective faculty members have been investigating in order to contribute toward new research findings. Prospective MS/PhD students are suggested to contact the respective faculty member if any of his/her research interests the student.  

Andri Mirzal

  • Neural networks applications in medical imaging
  • Language understanding

Emad Ramadan

  • Applied Bioinformatics
  • Network Security
  • Data Mining

Hamoud Aljamaan

  • Software Quality Assessment using Machine learning
  • Ensemble Machine Learning

Hamzah Luqman

  • Machine Intelligence and Pattern Recognition
  • Gesture recognition
  • Sign Language Recognition and translation
  • Biomedical imaging research (e.g, Diabetic retinopathy recognition, breast cancer detection)
  • Arabic Document Analysis and Recognition
  • Natural language processing.

Malak Baslyman

  • Requirements Engineering Modelling and Analysis
  • Usability of Requirements Engineering Methods and Tools
  • Business Transformation Using Requirements Engineering Methods
  • Requirements Engineering in Healthcare
  • Healthcare Technologies

Md Rafiul Hassan

  • Machine learning for big data analysis
  • New and novel parallel machine learning approaches on cloud
  • Botnet development
  • Indoor localization using deep learning methods
  • Research on Artificial Neural Networks and Deep learning
  • Intrusion/anomaly/malware detection
  • Breast cancer diagnosis and prognosis using machine learning techniques

Sajjad Mahmood

  • Empirical Software Engineering
  • Evidence Based Software Engineering
  • Global Software Development
  • Software Process Improvement

Samer Muhammad Adnan Arafat

  • Action control using EEG biosignals
  • Arrhythmia detection and prediction using ECG signals and 3 available data sets

Tariq Ahmed Helmi Albusyuni

  • Ontology Management & Automatic Annotation of Websites
  • Feature Extraction and Semantic Annotation and Description of Images
  • Collaborative Interface Agent & Capturing User’s Preferences for Personalized Web Searching
  • Hybrid and Ensemble Computational Intelligence Techniques in the field of soft computing and machine learning
  • Grid/Cloud Computing issues: i.e. Resource Sharing, Scheduling, Consistency, Coherency, Trust Models, Load Balancing

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