Alessia Amelio, Ph.D. in Computer Science Engineering and Systems & Computer Science Engineer, 87100 Cosenza, Italy
Talk title: Data science methods in healthcare: a research perspective
Abstract: In recent times, artificial intelligence and data analysis approaches are gaining special attention in the healthcare context. Innovative methods in this direction are being introduced as a problem solver for different healthcare targets, including hospitals, clinics, healthcare companies and private medical offices. In this talk, an overview of artificial intelligence and data analysis approaches in the healthcare domain is presented, with particular reference to the pandemic situation of COVID-19. Specifically, innovative methods are introduced and contextualized in different case studies related to statistical analysis of COVID-19 data, and segmentation and clustering of medical images. A new IT system is also presented, which improves the diagnosis process of stroke lesions from CT images.
Biographical notes: Alessia Amelio received her BSc and MSc in Computer Science Engineering from University of Calabria in 2005 and 2009, and Ph.D. in Computer Science Engineering and Systems from the Faculty of Engineering, University of Calabria in 2013. From 2011 to 2016, she was a Research Fellow at the National Research Council of Italy. From 2016 to 2019, she was a Research Fellow and Contract Professor of Computer Science at the Department of Computer Science Engineering, Modeling, Electronics and Systems, University of Calabria, Italy. Currently, she is a Data Science expert and Independent Researcher in data science. Her current research interests include pattern recognition, data science and artificial intelligence. She has co-authored more than 100 papers in different journals and conferences indexed in Scopus and WoS. She is an editorial board member of different journals indexed in Scopus and WoS. She was a co-organizer of different scientific events in pattern recognition and artificial intelligence.