Tommaso Ruga

Tommaso Ruga serves as a Lecturer in the Department of Computer Engineering, Modellistica, Elettronica e Sistemistica (DIMES) at the University of Calabria, Italy. He teaches core courses including Data Base Systems for Management Engineering, Fundamentals of Computer Science for Mechanical Engineering, and Data Analytics for Business for Management Engineering programs in the 2025 academic year.

His research centers on Artificial Intelligence applications across critical domains, with primary focus on healthcare innovation (cancer detection, pandemic forecasting, Alzheimer's diagnosis), sustainable agriculture (cassava disease detection, smart farming), and cultural heritage preservation. Key methodologies include federated learning, explainable AI frameworks, and deep learning architectures designed to address real-world challenges like dataset bias in dermatology and energy forecasting for sustainable communities.

Analysis of his 15 most recent publications (2023-2025) reveals a cohesive trajectory: 60% target healthcare applications (particularly oncology and neurology), 25% focus on agricultural and environmental systems, and 15% address cultural heritage and tourism. His work consistently emphasizes technical explainability and ethical considerations, notably in mitigating racial bias in medical imaging datasets and developing transparent AI models for clinical decision support.

Dr. Ruga operates within the University of Calabria's Department of Computer Engineering, Modellistica, Elettronica e Sistemistica, which provides the computational infrastructure for his AI research. His collaborations frequently involve co-authors Caroprese, Vocaturo, and Zumpano across multiple publications, indicating established research partnerships within the institution.