Dr Federico Liberatore
Lecturer in Data & Knowledge Engineering
- liberatoref@cardiff.ac.uk
- 4.61, Abacws, Senghennydd Road, Cathays, Cardiff, CF24 4AG
- Available for postgraduate supervision
Overview
Federico Liberatore is a Lecturer in Data & Knowledge Engineering at the School of Computer Science and Informatics, Cardiff University. He is also a Fulbright Alumni and the recipient of several research awards. His main areas of expertise are Combinatorial Optimization and Data Science.
Presently, his research focuses on mathematical models for policing, security, and personal safety. He is actively collaborating with law enforcement agencies on projects including predictive policing, smart patrolling, and femicides prevention.
Also, Federico has relevant researcher experience in Disaster Management and Humanitarian Logistics. He has applied mathematical models to mitigate the effect of natural and intentional disasters and to plan for emergency response operations.
Finally, Federico is applying ad hoc Machine Learning models to detect life-threatening conditions and estimate their severity and the risk for patients.
Biography
- Since September 2019, Lecturer in Data & Knowledge Engineering, School of Computer Science and Informatics, Cardiff University.
- October 2017 - August 2019, Lecturer in Operational Research, Department of Statistics and Operational Research, Complutense University of Madrid, Spain.
- September 2015 - September 2017, Researcher in Big Data, IBiDat – Big Data Institute, Charles III University of Madrid, Spain.
- September 2010 - August 2013, Visiting Lecturer, King Juan Carlos University, Madrid, Spain.
- September 2007 - August 2010, PhD student and Teaching Assistant, University of Kent.
Publications
We are currently unable to retrieve the list of publications. Visit our institutional repository.Teaching
Current Teaching:
- CMT115: Python for Computation, Cardiff School of Computer Science and Informatics.
- CMT120: Fundamentals of Programming, Cardiff School of Computer Science and Informatics.
Methodology:
- Combinatorial Optimization
- Data Science
Application Fields:
- Policing, Security and Public Safety
- Disaster Management and Humanitarian Logistics
Supervision
- Applications of Machine Learning
- Combinatorial Optimization
- Disaster Management
- Humanitarian Logistics
- Policing, Safety, and Public Security