Fernando Castor de Lima Filho

Fernando Castor de Lima Filho is an Associate Professor at the Digital Society Institute and Formal Methods and Tools department. His research focuses on software engineering, mobile computing, deep learning, and energy efficiency. With an h-index of 29 and over 4,000 citations, his work contributes to the UN Sustainable Development Goals. His research interests include code understandability, mobile app framework efficiency, and sustainable AI practices.

• Research Areas: Software Engineering, Mobile App Development, Deep Learning
• Notable Work: Empirical studies on energy consumption in DL models and battery usage in iOS frameworks

Recent publications emphasize improving code reviews, optimizing resource usage in mobile apps, and integrating large language models in software development. His work bridges theoretical computer science with practical applications in mobile and AI systems.

No scientific awards or grants explicitly listed in the provided text. Collaboration networks include global research teams focusing on mobile and AI infrastructure.