Luca Romeo
Tenure Track Assistant Professor Computer Science, at Department Economics and Law · University of Macerata
Biography
LUCA ROMEO received a Ph.D. degree in computer science from the Department of Information Engineering (DII), Università Politecnica delle Marche, in 2018. His Ph.D. thesis was on "applied machine learning for human motion analysis and affective computing". He is currently a Tenure Track Assistant Professor of Computer Science with University of Macerata | UniMC Department Economics and Law. He is also Adjunct Professor of Customer Intelligence & Big Data, at Luiss, Roma and he is affiliated with the Unit of Computational Statistics and Machine Learning, Fondazione Istituto Italiano di Tecnologia Genova. His research topics include the design of novel Machine learning algorithms for solving relevant challenges in different real-world domains.
Recent Scopus Publications
- A novel multi-task multi-view approach with custom multi-label loss for fault detection in complex industrial apparatus
- Machine Learning-Based Clinical Decision Support System for Hepatic Fibrosis Risk Prediction in General Practice
- Deep learning models for robust facial liveness detection
- Type 2 Diabetes Prediction from Multi-center Electronic Health Records in General Practice Using Machine Learning
- Knee Osteoarthritis Severity Grading Using Soft Labelling and Ordinal Classification
Links
- ORCID https://orcid.org/0000-0003-1707-0147
- Google Scholar https://scholar.google.com/citations?user=fRja-q0AAAAJ&hl
- Scopus https://www.scopus.com/authid/detail.uri?authorId=56426855300