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Title of the dissertation is "New approaches for modeling and estimation of discrete and continuous time stationary processes”
Opponent is Professor Paavo Salminen, Åbo Akademy, Finland
Custos is Assistan Professor Pauliina Ilmonen, Aalto University School of Science, Department of Mathematics and Systems Analysis
Contact details of the doctoral candidate: Marko Voutilainen, Department of Mathematics and Systems Analysis, marko.voutilainen@aalto.fi, p. 0404131617
The public defence will be organised via Zoom. Link to the event: https://aalto.zoom.us/j/61650076687
Title of the dissertation is: “On Hypercomplex and Time-Frequency Analysis"
Opponent is Professor Paula Cerejeiras, University of Aveiron, Portugal
Custos is Professor Juha Kinnunen, Aalto University School of Science, Department of Mathematics and Systems Analysis
Contact information of the doctoral candidate: Vesa Vuojamo, Department of Mathematics and Systems Analysis, +358500654241, vesa.vuojamo@aalto.fi
The public defence will be organised via Zoom.
https://aalto.zoom.us/j/65397035228
he NordicMathCovid project aims to model corona and future epidemics more extensively than has been previously attempted. It also builds towards long-term cooperation in mathematical modelling and extensive collection of health data.
"’One of the purposes of the project is to compare different corona models and scenarios in different countries. For example, we can apply Swedish figures to conditions in Finland and Norway or see what would have happened if Sweden had acted differently,’ says Professor Lasse Leskelä from Aalto University.
Traditional epidemic modelling does not take into account the network structure, geographical location or human mobility. Modern network theory provides computational methods for modelling population contact structures, which is needed in order to assess, for example, the contribution of school closures towards slowing down the epidemic.
‘We are studying large populations. We do not assume that individuals are associated to each other on an entirely random basis; instead, we apply knowledge about how social networks are usually shaped: some people, such as superspreaders, have more contacts than others. In addition, social networks are clustered, which means that the connections are interlaced,’ explains Professor Mikko Kivelä.
The large variations in contacts, mobility and social activity in different population groups have a significant impact on the spread of the epidemic and the formation of immunity. In order to understand these phenomena, the project will develop new stochastic models.
Read more: https://www.aalto.fi/en/news/new-epidemic-modelling-facilitates-assessment-of-corona-strategies
Title of the dissertation is: "On blind source separation under exotic data structures"
Opponent is Professor Davy Paindaveine, Universite de Libre Bruxelles, Belgium
Custos is Assistan Professor Pauliina Ilmonen, Aalto University School of Science, Department of Mathematics and Systems Analysis
Contact details of the doctoral candidate: Niko Lietzén, matematiikan ja systeemianalyysin laitos, tel. +358408374036, niko.lietzen@aalto.fi
The public defence will be organised via Zoom.
https://aalto.zoom.us/j/68817346436
Title of the dissertation is: "Solution of coupled acoustic eigenvalue problems".
Opponent is Professor Kathrin Smetana, University of Twente, The Netherlands
Custos is Professor Antti Hannukainen, Aalto University School of Science, Department of Mathematics and Systems Analysis
Contact details of the doctoral candidate: Antti Ojalammi, Department of Mathematics and Systems Analysis, tel. 050 410 3187, antti.ojalammi@aalto.fi
The public defence will be organised via Zoom.
https://aalto.zoom.us/j/67688067521
Zoom Quick Guide:https://www.aalto.fi/en/services/zoom-quick-guideThe dissertation is publicly displayed as online display 10 days before the defence at:https://aaltodoc.aalto.fi/doc_public/eonly/riiputus/?lang=en
Title of the dissertation is "Well-rounded lattices and applications to physical layer security".
Physical layer communication is a family of methods and techniques that are dedicated to ensuring reliability and security by exploiting noisy communication channels’ characteristics.
In plain terms, the present thesis is devoted to using our understanding of the noise to propose reliable and secure codes. Indeed, one can define a reliable communication system as a system where the probability of error is as small as possible. Similarly, a secure communication scheme can be seen as a system where the chances of an eavesdropper recovering the message are minimal. In the wireless setting, these optimisation problems can be again translated to finding configurations of points in Euclidean space satisfying some given properties. In fact, one can represent signals of finite bandwidth by points in Euclidean space, and this representation allowed mathematicians to see codewords or messages as geometric objects. More precisely, we can consider cookbooks as discreet sets in Euclidean spaces.
Lattices are simply discrete subgroups of Euclidean spaces. Consequently, many reliability and security problems can be reformulated as optimisation problems on the space of all lattices.
The space of all lattices has many technical difficulties, thus, a natural direction to take is to restrict our problems to “smaller” subspaces, in our case, we considered a particular subset of lattices called well rounded lattices, and our investigation laid on studying the restriction of some communication problems to these lattices.
The significance of this restriction can be supported by the fact that well rounded lattices are rare among all lattices. Hence, constructing them is also an interesting problem in its own right. Our study is further supported by explicit constructions where we used number theoretic methods or more precisely the arithmetics of number fields to capture the well roundedness property.
Opponent is Professor Kazim Büyükboduk, University College Dublin, Ireland
Custos is Professor Camilla Hollanti, Aalto University School of Science, Department of Mathematics and Systems Analysis
Contact information of the doctoral candidate: Mohamed Taoufiq Damir, 0505215321, mohamed.damir@aalto.fi / mohamed.taoufiq.damir@gmail.com
The public defence will be organised via Zoom. The link will be added here later.
Zoom Quick Guide:https://www.aalto.fi/en/services/zoom-quick-guideThe dissertation is publicly displayed as online display 10 days before the defence at:https://aaltodoc.aalto.fi/doc_public/eonly/riiputus/?lang=en
The Department of Mathematics and Systems Analysis is seeking
New hourly-paid teachers in Mathematics and Systems Analysis for spring term 2021
Your tasks include teaching in exercise groups and grading exercises and exams.
Regarding teaching in mathematics, we expect the applicants to have completed at least 20 credits of mathematical studies at university level with good grades. Regarding teaching in systems analysis (courses MS-C/E2xxx), we expect the applicants to have completed the course they are interested in. If you have previous experience in teaching, it is considered as an advantage, but is not necessary. This is a part-time job (2-4 hours/week). The salary is 30-40 euros/teaching hour based on your education level.
Grading exercises and exams will be (typically) compensated separately (300-400 euros depending on your education and the course level).
Apply for this job through an eRecruitment system.
Attach a cv, a transcript of records, and an open motivation letter as one PDF file.
Deadline for the applications is Thursday 5 November.
Based on the applications, we will invite some of the applicants for a web interview.
More information: johanna.glader@aalto.fi
More information:
johanna.glader(at)aalto.fi
Note: if you have previously worked as an hourly-based teacher at the MS Department, you will receive a separate link from johanna.glader(at)aalto.fi.
In their most recent article, Finnish civil servants Jussi Lindgren and Jukka Liukkonen, who study quantum mechanics in their free time, take a look at the uncertainty principle that was developed by Heisenberg in 1927. According to the traditional interpretation of the principle, location and momentum cannot be determined simultaneously to an arbitrary degree of precision, as the person conducting the measurement always affects the values.
However, in their study Lindgren and Liukkonen concluded that the correlation between a location and momentum, i.e. their relationship, is fixed. In other words, reality is an object that does not depend on the person measuring it. Lindgren and Liukkonen utilized stochastic dynamic optimization in their study. In their theory’s frame of reference, Heisenberg’s uncertainty principle is a manifestation of thermodynamic equilibrium, in which correlations of random variables do not vanish.
Further information:
Article: The Heisenberg Uncertainty Principle as an Endogenous Equilibrium Property of Stochastic Optimal Control Systems in Quantum Mechanics https://www.mdpi.com/2073-8994/12/9/1533
Jussi Lindgren
jussi.lindgren@aalto.fi
Jukka Liukkonen
jukka.liukkonen@stuk.fi
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
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