- Big Data and Business Intelligence
- Advanced Software Engineering Methodologies
- Business Process Modeling and Analysis
- Software Engineering Techniques and Practices
- Service-Oriented Architecture and Web Services
- Information Technology Governance and Strategy
- Software Engineering Research
- Information and Cyber Security
- Complex Systems and Decision Making
- Cybercrime and Law Enforcement Studies
- Digital and Cyber Forensics
- Information Systems Theories and Implementation
- Safety Systems Engineering in Autonomy
- Model-Driven Software Engineering Techniques
- Semantic Web and Ontologies
- Big Data Technologies and Applications
- Regulation and Compliance Studies
- Data Visualization and Analytics
- Data Mining Algorithms and Applications
- Software System Performance and Reliability
- E-Government and Public Services
- Internet of Things and AI
- Blockchain Technology Applications and Security
University of Ottawa
2014-2021
Government of Canada
2021
In many enterprises and other types of organizations, decision making is both a crucial challenging task. Despite their importance, decisions are still made based on experience intuition rather than evidence supported by rigorous approaches. Decisions often this way because lack data, unknown relationships between data goals, conflicting poorly understood risks. This research presents goal-oriented, business intelligence-supported methodology for making. The methodology, which iterative,...
The purpose of this study is to explore the latest approaches in integrating artificial intelligence and analytics (AIA) energy smart grid projects. Empirical results are synthesized highlight their relevance from a technology project management standpoint, identifying several lessons learned that can be used for planning highly integrated automated projects.,A systematic literature review leads selecting 108 research articles dealing with grids AIA applications. Keywords based on following...
With regulations influencing almost all societal interactions, divergent views about their relevance and performance exist today. In consideration of the time cost implication involved in complying, regulated parties often complain overregulation. Governments, motivated to ensure safety, security prosperity communities, insist on effective efficient advocate for more. Additionally, citizens interest groups more or fewer depending perceived benefits them. This scenario puts pressure...
Eliciting requirements for Business Intelligence (BI) systems remains a significant challenge, particularly in changing business environments. This paper introduces novel AI-driven system, called AutoBIR, that leverages semantic search and Large Language Models (LLMs) to automate accelerate the specification of BI requirements. The system facilitates intuitive interaction with stakeholders through conversational interface, translating user inputs into prototype analytic code, descriptions,...