Dr Federico Colecchia
Lecturer in Creative Electronics and Programming
Michael Sterling 261
- Email: email@example.com
- Tel: +44 (0)1895 266236
Federico is a Lecturer in electronics, computer programming, and embedded systems at Brunel Design. He has been active in higher education since 2002, has led postgraduate and undergraduate modules, and is presently in charge of the 'Embedded Systems for Design' third-year undergraduate module.
He received his doctoral degree (PhD) in Physics from the University of Padova in 2001, following work on a large-scale physics experiment at the Stanford Linear Accelerator Center in the USA. He subsequently built an interdisciplinary research and innovation portfolio focussing on applications of artificial intelligence and machine learning across disciplinary boundaries with an emphasis on the biomedical domain - brain tumour segmentation from MRI scans, protein-DNA binding site prediction, informed decision making in the pharmaceutical industry.
Following his work in Padova and at Stanford, Federico has been a research staff member at University College London (UCL), Brunel University London and Lund University, an honorary research scientist with the UCL Hospitals NSH Foundation Trust, and a researcher and project leader in industry - artificial intelligence for pharmacautical consulting. His research has been funded by the UK Research Councils, the European Commission and private investors, and has involved close collaboration with multinational technology companies such as QinetiQ. Over the years, he has collaborated closely with clinicians, biologists, statisticians, mathematicians, sociologists, psychologists, educationalists, and designers, thereby developing a robust understanding of the dynamic of interdisciplinary collaboration as well as a deep appreciation of knowledge exchange and research exploitation pathways.
He has published research in biomedical science, computer science, human-computer interaction, design, and physics, and his academic articles have received more than 6,000 citations (ResearchGate, 2020). He is also the inventor on a US patent on distributed storage and analysis of large relational datasets. He has delivered presentations at international conferences in different fields, chaired conference sessions, and peer-reviewed scholarly publications in medicine, human-computer interaction, and physics.
Research Expertise and Interests: Artificial intelligence, machine learning, embedded electronics, human-computer interaction, medical physics, design, information visualisation.
Google Scholar: https://scholar.google.com/citations?user=wZlM_6YAAAAJ&hl=en
PhD in Physics, University of Padova, 2001
Fellowship of the Higher Education Academy, University College London, 2018
Module Leader, 'Embedded Systems for Design', Brunel University London