"Whoever needs to understand a problem will have to study it. Therefore, whoever practices the study of the subject will develop a thorough understanding of it and will then always draw the right conclusions" Ali Ibn Abu Talib

Research cannot be practically effective without being grounded in a philosophy. Philosophy leads to strategy, and strategy leads to a coordinated set of computing tactics to address the research question. Without it, tactics are reactive and not objective.

My research interest is in advancing knowledge technologies and their application to healthcare. I have a strong interest in investigating the sources of possible leverage in developing methodologies, techniques and architectures for engineering a knowledge management framework that supports knowledge creation, dissemination and utilization in an enterprise setting. I have a keen interest in applied inter-disciplinary research, whereby the theoretical framework of my computer science research is applied to real-world problems in the domains of healthcare (vis-à-vis health informatics).

I characterize my research interests in three inter-related research themes, namely (i) Knowledge Management; (ii). Health Informatics; (iii) Intelligent Information and Web-Service Personalization. For each research theme, I have trained a number of students (at both undergraduate and graduate levels) and produced publications that highlight the research contributions. The main research topics within each theme are: 

1.      Semantic Web and Knowledge Management

a.     Ontologies: Engineering, Learning and Evolution

b.     Knowledge morphing

c.     Reasoning strategies

d.     Semantic web based e-research platform

e.     Semantic web services

f.     Social networks and communities of practice

2.     Health Informatics and Knowledge Management

a.     Healthcare knowledge management

b.     Healthcare knowledge modeling using ontologies

c.     Healthcare workflow modeling and process engineering

d.     Clinical decision support systems

e.     Handling co-morbidities in clinical decision support systems

f.     Personalized patient education and surveillance programs

g.     Personalized patient care planning

h.     Health test data solutions

i.      Health knowledge translation

j.      Health knowledge linkages

k.     Health data mining

3.      Intelligent Information Personalization

a.      Semantic web based information and service personalization

b.      Personalized information filtering