معرفی
Dr. Fabio Caraffini is an Associate Professor in Computer Science at Swansea University's School of Mathematics and Computer Science. He holds dual PhDs in Mathematical Information Technology (University of Jyväskylä, 2016) and Computer Science (De Montfort University, 2014), along with BSc and MSc degrees in Engineering from the University of Perugia. His research focuses on computational intelligence, particularly heuristic optimization methods like evolutionary algorithms and differential evolution. He also holds an honorary position as Senior Research Fellow at De Montfort University (2022–2024).
Education History:
- BSc in Electronics Engineering (University of Perugia, 2008)
- MSc in Telecommunications Engineering (University of Perugia, 2011)
- PhD in Mathematical Information Technology (University of Jyväskylä, 2016)
- PhD in Computer Science (De Montfort University, 2014)
Research Interests:
Dr. Caraffini's work bridges theoretical optimization and practical applications. Key areas include evolutionary computing, structural bias analysis in algorithms, and interdisciplinary AI applications such as medical imaging, climate risk modeling, and robotics. His SOS Platform and BIAS toolbox are notable contributions to algorithm benchmarking and bias detection. Recent projects include AI-driven solutions for crop mapping, medical record analysis, and rail scheduling optimization.
Publications & Trends:
His 150+ publications span journals like Information Sciences, IEEE Transactions, and Applied Soft Computing. Themes include algorithmic robustness, constraint handling, and real-world optimization challenges. Notable works address differential evolution improvements, climate transition risk prediction, and medical decision support systems.
Awards & Grants:
- Fellow of the Higher Education Academy (FHEA)
- Recipient of multiple research grants for projects in optimization and AI applications
Advising & Collaboration:
Actively supervises PhD students in AI-driven optimization and interdisciplinary applications. Collaborates with institutions globally on topics like microgrid energy management and pandemic prediction through self-organizing maps.
Labs & Teams:
Engaged in Swansea's Computational Foundry and the Morgan Advanced Studies Institute (MASI), contributing to cross-disciplinary research initiatives in AI and computational science.
