R&D Opportunities for Partners
Machine Learning applications for financial market microstructure and behavioral forecasting. Semantic Rules-Based transaction filtering for strategy implementation. Text Mining for rules-based event and risk detection.
Multi-Agent Systems (MAS) for distributed, real-time Software Behavior Analysis (SBA) and intrusion detection. Rules-Based high-frequency (packet and kernel levels) cybersecurity event analysis. Social Network Analysis (SNA) and Human-Computer Interface (HCI) for collaborative cybersecurity.
Extensions to SPEM 2.0 with semantic models of IT standards, integrated within an Open Unified Process (Open UP). Integration of BTM accreditation and professional standards to streamline IT HRM processes. Development of new semantics-enabled talent acquisition services.
Intelligent systems to support regulatory compliance and anti-corruption policies. Combination of accounting and transaction filtering with semantic rules-based Text Mining for possible corruption behavior. Open government data, legislative and public news monitoring, and Social Network Analysis (SNA) for open surveillance of possible corruption behavior.
Public bus service demand analysis, service optimization, and real-time schedule adjustment to avoid "bunching". Multi-Agent Simulations (MAS) for integrated planning of public transit and urban development. Social and economic development impact of complex infrastructure projects.
PhD in IT and DBA in PM
Stéphane Gagnon, Ph.D.
Professeur agrégé / Associate Professor
Département des sciences administratives
Université du Québec en Outaouais
101, rue Saint-Jean-Bosco, A2228
C.P. 1250, succursale Hull
Gatineau, Québec, Canada, J8X 3X7
Téléphone: +1-819-595-3900, poste 1942