معرفی
Dr. Fabrizio Smeraldi is a Senior Lecturer in Artificial Intelligence at Queen Mary University of London's School of Electronic Engineering and Computer Science. His research spans machine learning applications in health informatics, energy systems, and bioinformatics. He teaches postgraduate Computer Programming and develops software tools like LiBEIS and GEOexplorer. His work integrates computational methods with real-world challenges, including healthcare data analysis, battery management, and cybersecurity.
Research Interests
Dr. Smeraldi focuses on machine learning for health informatics (e.g., mining patient conversations), energy storage systems (battery SOC estimation), and bioinformatics (gene expression analysis). He also explores cybersecurity investments and computer vision techniques for feature extraction.
Key Trends in Publications
Recent work emphasizes interdisciplinary applications: combining ML with healthcare data, developing energy storage tools, and advancing bioinformatics platforms. His methods bridge computational theory with practical domains like public health and genomics.
Grants & Advising
No specific grants or advisees listed, though his research indicates collaborative projects in health tech and energy systems. His lab develops open-source tools for scientific communities.
