Department of Mathematics and Systems Analysis
- Research groups
- Studies
- Personnel
- Current
- Contact information
- Internal pages
Title of the dissertation is "Risk-informed optimization of mitigation strategies in safety-critical systems"
The performance of industrial systems can be compromised due to multiple risks, caused by accidents and threats. Such risks may result in system failure, which leads to safety, financial and environmental consequences. For this reason, industrial organizations need to invest in the design and operations of their production systems in order to improve the reliability, availability, maintainability and safety of their systems.
This dissertation proposes an innovative framework to assess and select risk mitigation strategies in the design and operations of systems, based on the minimization of risks of the overall system. In this framework, the analysis of systemic risks integrates component-based analyses to manage the industrial system optimally while satisfying budget and technical constraints. The applicability of this framework is illustrated by re-examining case studies which have been previously analyzed in literature as well as by presenting new real-life case studies based on statistical data and expert judgement.
The methodological and computational results of the dissertation can be readily adapted to develop further applications in other areas of industrial activity.
Opponent: Professor Lesley Walls, University of Strathclyde, United Kingdom
Custos: Professor Ahti Salo, Aalto University School of Science, Department of Mathematics and Systems Analysis
Supervising professors: Professor Ahti Salo, Aalto University School of Science, Department of Mathematics and Systems Analysis and Professor Enrico Zio, Politecnico di Milano, Italy
Contact information: Alessandro Mancuso, Department of Mathematics and Systems Analysis, alessandro.mancuso@aalto.fi
The public defence will be organized via Zoom: https://aalto.zoom.us/j/65850868700.
Estuardo Alpírez Bock will defend the dissertation "On the Foundations of White-Box Cryptography" on 12 June 2020 in Aalto University School of Science. Dissertation press release in English: https://www.aalto.fi/en/events/defence-of-dissertation-in-the-field-of-mathematics-estuardo-alpirez-bock-msc
Opponent: Dr. Pascal Paillier, CryptoExperts, France
Custos: Professor Chris Brzuska, Aalto University School of Science, Department of Mathematics and Systems Analysis
The public defence will be organized via remote technology.
Zoom link: https://aalto.zoom.us/j/66291986278
Matias Vestberg, MSc will defend the dissertation “Doubly Nonlinear Parabolic Equations” on 15 May 2020 in Aalto University School of Science. Dissertation press release in English: https://www.aalto.fi/en/events/defence-of-dissertation-in-the-field-of-mathematics-matias-vestberg-msc
Opponent: Professor Ugo Gianazza, Università di Pavia, Italy.
Custos: Professor Juha Kinnunen, Aalto University School of Science, Department of Mathematics and Systems Analysis.
Contact: matias.vestberg@aalto.fi
The public defense will be organized via remote technology. Link: https://aalto.zoom.us/j/651995701
Zoom Quick Guide: https://www.aalto.fi/en/services/zoom-quick-guide
The title of the dissertation is "On Decoding Problems, Lattices and Generalized Concatenated Codes"
Reliable and efficient information transfer is one of the building blocks of today’s interconnected society. With more devices connected every day, the importance of reliable communication is constantly growing. Wireless networks are used everywhere and they are evolving at a rapid pace. The remarkable innovation and improvement in performance we have seen during the last decades is obviously a result of technological advances in many fields. However, none of this would be possible without information theory, and more specifically, coding theory.
One of the problems that coding theory deals with is: how can we achieve reliable and efficient communication over an unreliable channel. The answer is so-called error-correcting codes. In this thesis we study different types of error-correcting codes and so-called decoding algorithms for these codes. We improve known decoding algorithms for several classes of codes. This is important work, since there are many known good classes of error-correcting codes that cannot be used in practical applications due to impractical and/or slow decoding algorithms.
Opponent: Professor Christine Kelley, University of Nebraska-Lincoln, USA.
Custos: Professor Camilla Hollanti, Aalto University School of Science, Department of Mathematics and Systems Analysis.
Thesis advisor: Professor Marcus Greferath, University College Dublin, Republic of Ireland.
Contact information: Ferdinand Blomqvist, Department of Mathematics and Systems Analysis, +358503631532, ferdinand.blomqvist@aalto.fi
Electronic dissertation The dissertation is publicly displayed 10 days before the defence: https://aaltodoc.aalto.fi/doc_public/eonly/riiputus/
Page content by: webmaster-math [at] list [dot] aalto [dot] fi