Giovanni Sansavini Author

Dr. Dmitry Chernov is a senior researcher at the Chair of Entrepreneurial Risks and at the Chair of Reliability and Risk Engineering at the Swiss Federal Institute of Technology in Zurich (ETH Zurich). He has more than 15 years of experience as a crisis communication and disaster management consultant for large corporate clients working in oil and gas, electric power, metals and mining, chemical, telecommunication, transport, utilities, retail manufacturing, etc. He first recognized the importance of intra-organizational risk concealment in 2007 during one of his seminars for a critical infrastructure company. Since then, he has focused on researching solutions to improve intra-organizational risk communication, in order to enable timely decision-making before and during industrial disasters. Additional information: www.riskcommunication.info/en 

Prof. Didier Sornette is Chair Professor of Entrepreneurial Risks at ETH Zurich since 2006 and dean of the Institute of Risk Analysis, Prediction and Management (Risks-X), at the Southern University of Science and Technology (SUSTech), Shenzhen. He is a member of the Swiss Academy of Engineering Sciences and of the Academia Europaea and fellow of the American Association for the Advancement of Science. He uses rigorous data-driven mathematical statistical analyses combined with nonlinear multi-variable dynamical models with positive and negative feedbacks to study the predictability and control of crises and extreme events in complex systems, with applications to all domains of science and practice.

Prof. Giovanni Sansavini is an associate professor of Reliability and Risk Engineering at the Institute of Energy and Process Engineering, ETH Zurich. Currently, he is the chairperson of the ETH Risk Center and of the Technical Committee on Critical Infrastructures of the European Safety and Reliability Association (ESRA). His research focuses on the development of hybrid analytical and computational tools suitable for analyzing and simulating failure behaviors of engineered complex systems, with focus on physically networked critical infrastructures and sustainable energy systems. He aims to quantitatively define reliability, vulnerability, resilience and risk within these systems using a computational approach based on physical system modeling, advanced Monte Carlo simulation, soft computing techniques and optimization.

Dr. Ali Ayoub is a postdoctoral researcher at the Department of Nuclear Science and Engineering at the Massachusetts Institute of Technology. He received his Ph.D. and M.Sc. in nuclear engineering from the ETH Zurich after finishing his undergraduate training at the American University of Beirut. Dr. Ayoub is a member of the European Commission ESReDA “Risk, knowledge, and management” project group. Besides his interests in tackling the problems of risk communication and risk information transmission in critical industries, his research interests include: risk analysis and nuclear safety, uncertainty quantification and model-data integration, atmospheric dispersion, resilience engineering and timely decision-making.