Past Members


  1. Ashraf Abusharekh.

Post Doctoral Fellows

  1. Cong Ye. Research interests: Machine Learning, Time Series Learning, Manifold Geometry, Brain Network, and Early Warning Algorithm in ICU.
  2. Patrice C. Roy. Research interests: Ambient intelligence; Smart homes; Health Informatics; Ubiquitous computing; Multi-agent systems; Context awareness; Activity/plan recognition; Machine learning; Knowledge representation; Description logic; Uncertainty theories; Cognitive assistance; Ontology; Semantic Web; Computer vision; Earth sciences.
  3. Raquel Dias.
  4. Enayat Rajabi. Research interests: Linked Data; Semantic Web; eLearning Technologies; Database; Digital Signature and PKI.
  5. Borna Jafarpour. Research interests: Semantic Web; Health Informatics; Clinical Decision Support Systems; Soft Computing.
  6. Sangwhan Cha. Research interests: Mobile Computing; Software Engineering; Parallel and Distributed Computing; Big Data Analysis; Health Informatics.
  7. Newres Al Haider. Research interests: Ontologies; Reasoning; Software Engineering; Graph Mining; Graph Databases; BigData.
  8. Greg Michael Lee. Research interests: Artificial Intelligence; Personalized Information; Machine Learning.

Completed PhD Thesis

  1. Ali Daowd. Augmented Knowledge Graphs for Literature-Based Discovery (AKG-LBD): A Novel Framework to Enhance Semantics-Based LBD For Biomedical Knowledge Discovery, Dalhousie University, August 2023.
  2. Hossein MohammadHassanzadeh. Plausible Reasoning Over Knowledge Graphs: A Novel Approach for Semantics-Based Health Data Analytics, Dalhousie University, March 2019.
  3. Calvino Cheng. Truism (Transfusion Inventory Process Mining Framework): A Process Mining-Based Framework for Understanding Blood Transfusion Product Inventories. (IDPhD), Dalhousie University, April 2017.
  4. Borna Jafarpour. Ontology Merging Using Semantically-Defined Merge Criteria And Owl Reasoning Services: Towards Execution-Time Merging Of Multiple Clinical Workflows To Handle Comorbidities, Dalhousie University, December 2013.
  5. Samuel Stewart. Combining Social Network and Semantic Content Analysis To Improve Knowledge Translation In Online Communities Of Practice (IDPhD), Dalhousie University, Dec. 2013.
  6. Joyline Makani. Knowledge Management in Knowledge Intensive Organizations: An Investigation of Factors Influencing Choices of Knowledge Management Systems (IDPhD), Dalhousie University, May 2012 (Co-Supervisor)
  7. Syed Sajjad Hussain. K-MORPH: Knowledge morphing via reconciliation of contextualized sub-ontologies, Dalhousie University, March 2011.
  8. Cheah Yu-N. A Knowledge Management Info-structure for Knowledge Creation: A Scenario-based Strategy for the Explication and Crystallisation of Tacit Knowledge, Universiti Sains Malaysia, May 2002.

Completed Master’s Thesis

  1. Kranthi Kiran Jalakam. Multi-Modal Consensus Clustering to Identify Phenotypes of Kidney Transplant Donors and Recipients for Survival Analysis. November 2022.
  2. Michael Barrett. Using A Knowledge Graph For Literature-Based Discovery Of Gene-Disease Associations Between COVID-19, Diabetes Mellitus, And Chronic Kidney Disease. April 2022.
  3. Kayalvizhi Thanigainathan. Using Ensemble Clustering to Identify Phenotype of Diabetes Patients for Evaluating Disease Progression. March 2022.
  4. Anders Lenskjold. Developing a Score to Grade Primary Care Providers’ Potentially Inappropriate Thyroid-Stimulating Hormone Testing Behaviour in Nova Scotia. March 2022. (Co-Supervisor)
  5. Noveenaa Pious. Ensemble clustering to group physicians based on their pathology test order profile. April 2021.
  6. Aditi Prem Kumar Nair. Semantic Web-Based Representation of Cognitive Behavioural Therapy: Applying Ontological Knowledge Modelling and Reasoning to Generate Personalized Behavioural Plans for the Treatment of Mild Depression. August 2020.
  7. Syed Asil Ali Naqvi. Predicting the Outcomes of Kidney Transplants using Machine Learning Methods. March 2020.
  8. Syed Mohammad Faizan. Applying Speech Recognition and Language Processing Methods to Transcribe and Structure Physicians’ Audio Notes to a Standardized Clinical Report Format. February 2020
  9. Jamey Martell. A Machine Learning Approach for Alert Behaviour Response Modeling to Mitigate Alert Fatigue in Health Information Systems. April 2019
  10. Benjamin Rose-Davis. Using Artificial Intelligence-based Argument Theory to Generate Automated Patient Education Dialogues: An Interactive Educational Dialogue System for Families of Children with Juvenile Idiopathic Arthritis. December 2018
  11. Ali Daowd. A Digital Health based Personalized Chronic Disease Risk Assessment and Mitigation Platform for Citizen’s Lifetime Health. December 2017
  12. Ali Naserian Mojadam. A Digital Health Based Personalized Preoperative Patient Education System for Patients Undergoing TAVI Surgery. December 2017
  13. Suria Kala Subbu. A Semantic Web Framework for Representing, Linking and Analyzing Medical Data for Optimizing Laboratory Utilization. August 2016
  14. Wasif Baig. A Semantic Web based Knowledge Management Framework to Model Behaviour Change Constructs for Generation of Personalized Action Plans. Sept. 2015 (Co-Supervisor)
  15. Swapnil Mahajan. A Generic Framework for Providing Psychosocial Support to Patients through an Online Virtual World. Jan. 2015 (Co-Supervisor)
  16. Hani Mufti. Predictors of Post-Operative Neurocognitive Complications in Patients Undergoing Cardiac Operation: A Predictive Analytics Approach. August 2014.
  17. Ehsan Maghsoudlou. Integrating Protocol-Driven Decision Support Within E-Referral System: Supporting Primary Care Practitioners for Spinal Care Consultation and Triaging. April 2014
  18. Nelofar Kureshi. Personalized Medicine: Development of a Predictive Computational Model for Personalized Therapeutic Interventions. August 2013 (Co-Supervisor).
  19. Ali Haider Zaidi. An OWL Ontology for Modeling HL-7 Compliant Electronic Patient Records for Chronic Disease Management. Dalhousie University. Dec 2012
  20. Shirin Sharif. Characterization of a Longitudinal Care Plan Model For Managing Chronic Diseases: A Care Plan Ontology to Computerize Paper-Based Care Plans. Dalhousie University. April 2012
  21. Nima Hashemian. Modelling Clinical Pathways as Business Process Models Using Business Process Modelling Notation. March 2012
  22. Mostafa Omaish. Ontology-based Knowledge Model for an ACS Management Clinical Guideline: Handling Updates and Institutional Priorities. Dec 2011
  23. Syed Farrukh Mehdi. Exploiting Semantics and Syntax for service Specification and Signature Matching: The S5 Web Service Matchmaker, Dalhousie University, Dec 2011
  24. Ashraf Mohammed Iqbal. An Ontology-Based Electronic Medical Record for Chronic Disease Management, Dalhousie University, Feb 2011 (Co-Supervisor)
  25. Ryan Druggan. Clinical Knowledge Modelling to Develop E-Clinics for Neuropituary Care, Dalhousie University, April 2010
  26. Brett Taylor. Re-Imaging Surveillance in the Context of Emergency Care, Dalhousie University, August 2009
  27. Muzammil Bashir Ahmad. Ontology Modelling for Nursing Care Plans and Clinical Practice Guidelines, Dalhousie University, April 2009.
  28. Shapoor Sheghani. Knowledge Modeling to Develop a Clinical Practice Guideline Ontology: Towards Computerization and Merging of Clinical Practice Guidelines. Dalhousie University. Sept 2007
  29. Katrina Hurley. Practice-Oriented Knowledge Abstraction in Development of an Ontology to Model Clinical Pathways, Dalhousie University. May 2007
  30. Philip O’Brien. Semantic Web Approach for Context-Aware Knowledge Sharing, Dalhousie University, March 2007.
  31. Selana Davis. Personalization of Cardiovascular Risk Management Using Linkages of SCORE and Behaviour Change Readiness to Web-based Education, Dalhousie University, August 2006.
  32. Aliko Mwakatobe. Information Personalization on the Semantic Web Using Reasoning, Dalhousie University, August 2006.
  33. Yan Zeng. Pursuing Information Personalization as a Constraint Satisfaction Problem, Dalhousie University, December 2005.
  34. Zeina Chedrawy. PRECISE: A Hybrid of Item-Based Collaborative Filtering and Case Based Reasoning for Contextual Information Personalization, Dalhousie University, July 2005.
  35. Sanjun Yan. Using Unsupervised Learning Methods to Sub-classify Optic Disk Damage Images, Dalhousie University, April 2005.
  36. Xuan Hu. Evaluating Discretization Techniques to Discretize Visual Field Data. Dalhousie University, April 2005.
  37. Qingshuang Jiang. Discovering Generalized Symbolic Rule from Un-Annotated Data: A Hybrid of Rough Sets and Attribute Oriented Induction, Dalhousie University, April 2005.
  38. Jin Yu. A Hybrid Feature Selection Method Classifying Optic Nerve Images, Dalhousie University, April 2005.
  39. Brent Jones. Leveraging Clinical Practice Guidelines to Develop Objective User Models for Customizing Healthcare Information to Manage High Cholesterol, Dalhousie University, Sept. 2004.

Research Associates

  1. Nima Hashemian. Research interests: Healthcare knowledge management; Clinical Practice guidelines (modelling and computerization); Workflows Languages; Semantic web services.