University of São Paulo

Optimizing business processes is vital for achieving organizational strategic goals. This project explores advanced process knowledge using machine learning and computational intelligence. Ongoing works focus on process discovery, quality metrics, concept drift, interpretability and explainability, prediction and prescription, bias and fairness, LLMs, trace clustering, graph embeddings, sequencial association rules, semantic parsing, plain language, and OCEL, aiming at process and organizational improvement across both private and public organizations, including governmental entities.

Social robots are designed to enhance human activities by providing interactive support. This project explores their role in assisting specific groups across diverse contexts. Key applications include diagnosing depression in older adults, promoting activities that support mental well-being, improving cognitive engagement, and serving as mentors for digital literacy. The project focuses on leveraging social robotics to address unique needs and foster meaningful social interactions, ultimately aiming to improve quality of life.