معرفی
Stenio Fernandes holds the position of Adjunct Research Professor at Carleton University and Adjunct Faculty at the University of Ottawa. He is currently a Professor of Computer Science at the Center for Informatics (CIn) at the Federal University of Pernambuco (UFPE), Brazil. His professional roles include leading AI Platform teams at Element AI, focusing on Time-dependent problems like Time Series Forecasting and Anomaly Detection applied to industry verticals such as Capital Markets and Cybersecurity.
Education:
- Ph.D. in Computer Science, Federal University of Pernambuco
- Post-Doctoral Research, University of Ottawa
Research Interests: His work spans Internet Traffic Analysis, Network Virtualization, Software Defined Networking (SDN), and Spatio-Temporal Modelling. He has pioneered methodologies for congestion control in multimedia streaming and mobility management in heterogeneous networks. Recent projects emphasize AI-driven solutions for industry challenges in retail and manufacturing.
Awards & Recognition:
- IEEE Senior Member
- Project Management Professional (PMP) Certified
Advising & Grants: With over 140 peer-reviewed publications (h-index 19, i10-index 32), his research has been supported by grants from Brazilian and Canadian funding agencies. Current work integrates AI models into Element AI's product portfolio through collaborative industry partnerships.
Labs & Affiliations: Primary affiliation with CIn (UFPE), one of Latin America's leading CS centers. Maintains active collaborations with Carleton University's research groups and Element AI's engineering teams.
