معرفی
Paulo Alencar is an Adjunct Professor at the University of Waterloo, located in DC 1315. His research spans Machine Learning, Software Engineering, and Health Informatics, with a focus on applying AI to healthcare, software development tools, and IoT systems. He leads work on conversational agents, model selection frameworks, and spatial-temporal data analysis.
Key research interests include:
- Machine Learning applications in clinical assessment (e.g., depression detection via NLP)
- Context-aware software development tools using AI
- IoT-based health monitoring systems leveraging wearable devices
- Multi-agent systems and adaptive decision-making architectures
Recent work emphasizes:
- LLM effectiveness in testing and clinical contexts
- Graph-based cluster evolution analysis for transportation and urban planning
- Agentic frameworks for recommender systems
- mHealth platforms for stress and public health surveillance
He has developed the AKIP Process Automation Platform for process-aware web applications and contributed to metadata-driven testing methodologies for research software. His work bridges AI, software engineering, and healthcare innovation without listed formal advisees.
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