Speaker: Manolis Terrovitis (Athena Research Centre)
Date: June 10th 2020
Time: 2 PM CEST
Amnesia is a flexible data anonymization tool that transforms relational and transactional databases to dataset where formal privacy guaranties hold. Amnesia transforms original data to provide k-anonymity and km-anonymity: the original data are transformed by generalizing (i.e., replacing one value with a more abstract one) or suppressing values to achieve the statistical properties required by the anonymization guaranties. Amnesia employs visualization tools and supportive mechanisms to allow non expert users to anonymize relational and object-relational data.
Dr. Manolis Terrovitis is a Researcher at the Information Management Systems Institute (IMSI) of Research Center Athena. His research work includes big data analytics, data privacy and anonymization methods. He received his PhD from the National Technical University of Athens (2007) and has been with the Department of Computer Science of The University of Hong Kong as a post-doctoral researcher (2007-2008). In 2009 he joined IMSI, first as a post-doctoral researcher and then as a Researcher. Google Scholar reports over 1900 citations to his work, which includes publications to some of the most prestigious venues in data management (VLDB, VLDBJ, TKDE etc). He has served as president of the Hellenic Accreditation System and a member of the Board of Directors of Information Society S.A. He head of Amnesia development in Athena RC and he has been involved in several national and EU funded R&D projects. He has worked as a consultant at the private and public sector on the design and performance optimization of information systems and he is working as a Data Protection Officer in the National Network for Precision Medicine in Cardiology and in Oncology. Moreover, he has extensive experience on the application of privacy-by-design principles in the information ecosystems.
amnesia | anonymization | FAIR data | OA to research data | research data management | tool