We are proud to announce the confirmed speakers of ARES (to be completed):
Associate Rector, Athens University of Economics & Business, Greece
Prof. Gritzalis is the Associate Rector of Athens University of Economics & Business and a Professor of ICT Security with the Dept. of Informatics. He serves as Chairman of the University Research Centre, Director of the Information Security and Critical Infrastructure Protection (INFOSEC) Laboratory, and Director of the Master’s Programme on Information Systems.Prof. Gritzalis holds a B.Sc. (Mathematics, Univ. of Patras), a M.Sc. (Computer Science, City University of New York, USA) and a Ph.D. (Information Systems Security, Univ. of the Aegean).
He has served as Associate Commissioner of the Greek Data Protection Commission, President of the Greek Computer Society and Chairman of Digital Aid S.A. He has provided services, in an expert’s capacity, for several international organizations (Council of Europe, CEN, EU Joint Research Centre, EUROPOL).His current research interests focus on Critical Infrastructure Protection, Risk Assessment, Social Media Intelligence and Smartphone Security. His publication record includes include 10 books and more than 180 papers, published in journals and conferences. Prof. Gritzalis is the Academic Editor of the Computers & Security journal (Elsevier) and the Scientific Editor of the International Journal of Critical Infrastructure Protection (Elsevier). He has served as Chairman of several international conferences focused on IT Security.
ARES EU Symposium Keynote:
Head of Unit DG CONNECT – H4 “eGovernment and Trust”, European Commission, Belgium
The keynote will be held in the ARES EU Symposium 2017 on Tuesday August 29.
Andrea Servida is the Head of the Unit “eGovernment and Trust” in Directorate General ‘Communication networks, content and technology’ (DG CONNECT) of the European Commission whose mission is to advance the quality and innovation of public administrations and accelerating the large-scale public sector and private sector use of trusted identification and trust services in the digital single market by leadership in the eGovernment agenda and in eIDAS. From 2012 to June 2016, he led the eIDAS Task Force in charge of the adoption and implementation of the eIDAS Regulation (EU) N°910/2014. The purpose of the regulation is to deliver a predictable regulatory environment for electronic identification and trust services for electronic transactions in the internal market to boost user convenience, trust and confidence in the digital world. From 2006 to 2012, he was Deputy Head of the Unit “Internet; Network and Information Security” in DG INFSO where he co-managed the Unit and was in charge of defining and implementing the strategies and policies on network and information security, critical information infrastructure protection, electronic signature and identification. From 1993 to 2005, he worked in the European Commission ICT research programmes (ESPRIT, IT, IST and ICT) dealing with safety critical systems, software engineering, database technology, privacy enhancing technologies, biometrics, dependability and cyber security. Before joining the European Commission in 1993, he worked in industry for nearly eight years as a project manager of international R&D projects on decision support systems for environmental, civil and industrial emergency and risk management. He graduated with Laude in Nuclear Engineering at Politecnico di Milano and carried out PhD studies on fuzzy sets and artificial intelligence at Queen Mary and Westfield College, University of London.
University of Sheffield and Amazon, UK
Neil Lawrence is a Professor of Machine Learning and Computational Biology at the University of Sheffield. He holds a PhD in Computer science from Cambridge University and had a postdoctoral stay with Microsoft Research Cambridge. He has served as the Chair of the NIPS Conference, the premier Machine Learning conference in the world, and was the founding editor of the Journal of Machine Learning (JMLR) Research Workshop and Conference Proceedings. He is a fellow of the Royal Society in the working group for machine learning.
More information can be found here.
University of Sheffield, UK
Marta Milo is Lecturer in Computational Biology at the Department of Biomedical Science and is group leader at the Centre for Stem Cell Biology at the University of Sheffield. She was a Bioinformatics research fellow at the Sheffield Teaching Hospitals NHS Trust. She holds a PhD in Applied Mathematics and Computer Science from the University of Naples. The main focus of her professional career has been to develop truly interdisciplinary skills, complementing and refining her bioinformatics skills with a deep understanding of the biological nature of the data collected. This is to better identify limitations in the experimental designs and better quantify variations in the data collection and validation. Her work has been concentrating on the analysis and interpretation of high-throughput biological data, with the aim to produce feasible and robust hypotheses for a deeper understanding of the biological systems under study. In quantitative sciences numerical knowledge is not enough to understand and predict systems behaviours that are only partially observed. Since the beginning of 20th century it was clear that predictions of data required an additional “knowledge” to become meaningful. This knowledge needed to be quantified in a way that reflects our prior knowledge of the systems and what we were able to measure. It signed the start of introducing the concept of quantified uncertainty. Marta’s research interests focus on developing computational tools, pipelines, appropriate experimental designs and protocols to assist in improving accuracy and sensitivity in the analysis of biological data.