Paulo Alencar

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.