Ferrarini, Luca (rp00075)
Full Name
Ferrarini, Luca
Title
Assistant Professor
Department
Faculty
Email
Loading...
2
0
20
0
false
Biography
Dr. Luca Ferrarini has received a M.Sc. in computer engineering (cum laude) by the University of Modena and Reggio Emilia, Italy. The master thesis was carried on at The Burnham Institute in San Diego, in collaboration with the University of California San Diego (UCSD).
He has received his Ph.D. in computer science (with honor) from the Leiden University (The Netherlands), and more specifically from the Leiden University Medical Center (LUMC). The Ph.D. project focused on the development of new technologies for the analysis of brain MR images, to detect shape changes due to neurodegenerative diseases.
After concluding his Ph.D. study, he applied for and won a personal grant to support his post-doctoral project. As a post-doctoral fellow at the LUMC, he further specialized in the analysis of functional MR images and complex network theory, studying brain connectivity at rest and in patients with neurological disorders.
In a later stage Dr. Ferrarini moved into the field of genome analysis, applying statistical analysis to the modeling of gene regulatory networks, specifically for studying the blood brain barrier and the mechanisms that can lead to its disruption and to brain diseases such as the cerebral cavernous malformation.
Dr. Ferrarini has also gained deep knowledge of the IT industry, working for over 10 years as project manager and data analytics consultant in leading IT companies, both in Italy and Cyprus.
He is currently associate professor at the Applied Information Technologies (AIT) program at CIIM where he teaches three courses and pursues research in applied computer science (with particular focus on data analysis and machine learning algorithms).
He has published several research papers in international peer-reviewed journals and conferences and worked as reviewer for many international journals and conferences, such as BMC Bioinformatics, The Journal of Alzheimer Disease, Transactions on Information Technology in BioMedicine, IEEE Systems, Man and Cybernetics, and others.
He has very good teaching experience in computer science, both at undergraduate and graduate level.
He has received his Ph.D. in computer science (with honor) from the Leiden University (The Netherlands), and more specifically from the Leiden University Medical Center (LUMC). The Ph.D. project focused on the development of new technologies for the analysis of brain MR images, to detect shape changes due to neurodegenerative diseases.
After concluding his Ph.D. study, he applied for and won a personal grant to support his post-doctoral project. As a post-doctoral fellow at the LUMC, he further specialized in the analysis of functional MR images and complex network theory, studying brain connectivity at rest and in patients with neurological disorders.
In a later stage Dr. Ferrarini moved into the field of genome analysis, applying statistical analysis to the modeling of gene regulatory networks, specifically for studying the blood brain barrier and the mechanisms that can lead to its disruption and to brain diseases such as the cerebral cavernous malformation.
Dr. Ferrarini has also gained deep knowledge of the IT industry, working for over 10 years as project manager and data analytics consultant in leading IT companies, both in Italy and Cyprus.
He is currently associate professor at the Applied Information Technologies (AIT) program at CIIM where he teaches three courses and pursues research in applied computer science (with particular focus on data analysis and machine learning algorithms).
He has published several research papers in international peer-reviewed journals and conferences and worked as reviewer for many international journals and conferences, such as BMC Bioinformatics, The Journal of Alzheimer Disease, Transactions on Information Technology in BioMedicine, IEEE Systems, Man and Cybernetics, and others.
He has very good teaching experience in computer science, both at undergraduate and graduate level.
Loading...
3
0
20
0
false
Google Scholar
Country
Cyprus
Other Profile
Status
Current Staff
Affiliation
University of Limassol