2025 — Present
Adjunct Professor
Instituto Superior de Engenharia de Lisboa (ISEL) · Portugal
Teaching and research in computer science and engineering, with interests spanning programming, human–computer interaction, and artificial intelligence.
Electrical Engineering · Artificial Intelligence
Research at the intersection of energy and intelligent systems
I am Stefano Frizzo Stefenon, a researcher and university lecturer developing deep-learning methods for energy forecasting, industrial monitoring, and computer vision applications.
Based in Lisbon, Portugal
Stefano F. Stefenon
Adjunct Professor at ISEL
Researcher in AI & Energy Systems
5+Countries studied & worked
ISELAdjunct Professor
Artificial intelligenceApplied research
Energy systemsForecasting and monitoring
Profile
Engineering insight, shaped by data
My work focuses on the development of AI models applied to smart grids, predictive maintenance, and power forecasting, with an emphasis on the reliability, optimization, and resilience of electrical power systems.
I develop forecasting and monitoring methods for energy and industrial applications, with particular emphasis on deep learning, time-series analysis, and computer vision.
My international academic path spans Brazil, Germany, Canada, Italy, and Portugal, combining research, higher education, and applied engineering.
Experience
Research and teaching across institutions
Academic roles focused on artificial intelligence, electrical engineering, and complex industrial systems.
Previous appointment
Postdoctoral Fellow Researcher
University of Regina · Canada
Advanced research in intelligent methods for engineering applications, strengthening international research collaborations.
Previous appointment
Researcher
Fondazione Bruno Kessler · Italy
Worked on the monitoring of complex industrial systems using machine learning and data-driven methods.
Previous appointment
Professor
Universidade do Planalto Catarinense · Brazil
Served as the Electrical Engineering course coordinator for five years and taught undergraduate courses for seven years, primarily in the field of power systems.
Education
A multidisciplinary academic foundation
Electrical Engineering · Computer Science
Research
Intelligence for real-world engineering
I investigate models that can learn from complex temporal and visual data while remaining efficient, robust, and useful in operational settings.
Time-Series Intelligence
Transformers, diffusion models, signal decomposition, hyperparameter optimization, and model interpretability.
Computer Vision
Inspection and fault detection methods for electrical infrastructure and complex industrial environments.
Graph Learning
Structured learning approaches that represent spatial, relational, and temporal dependencies in energy systems.
Research and mentoring
Explore my ongoing projects and student supervision.
Projects and supervisionDriven by innovation
Check out my latest work.
My publicationsCode and projects
Explore my work on GitHub.
My GitHubCollaboration
Let's work on meaningful engineering problems
Contact me