VeranstaltungsortN.2.01Veranstalter Institut für StatistikBeschreibungHigh-dimensional PDEs appear in many fields, such as physics, engineering and finance. Even though they are indispensable in many applications, their numerical solution has been a longlasting computational challenge. The feasibility of widely used finite difference methods is limited due to the "curse of dimensionality", i.e. discretizing the space-time dimension leads to an explosion of grid-points. In the last few years new techniques based on deep neural networks have gained popularity and were successfully used in many areas. Recently, the power of deep neural networks could also be extended to solve large classes of high-dimensional semilinear or nonlinear PDEs. One method makes use of the probabilistic representation of the corresponding PDE solution based on backward stochastic differential equations. In particular the gradient and the Hessian terms showing up in the BSDE are approximated with neural networks. Other methods for so-called "Kolmogorov equations" rely on the representation of PDEs as infinite dimensional stochastic optimization problems, that are spatially discretized by means of fully connected deep neural networks. In this talk, I will give an introduction to deep neural networks and discuss both methods. I will then show how they can be applied to PDEs resulting from stochastic control problems.Vortragende(r)Verena Köck (WU Wien)KontaktSimone Gahleitner (simone.gahleitner@aau.at)

VeranstaltungsortLakesideB12b.1.1Veranstalter Fakultät für Technische WissenschaftenBeschreibungDr. Raimund Schatz | Nov 20, 2019 | 10:00 | Lakeside B12b.1.1Abstract: Over last 15 years, Quality of Experience (QoE) has evolved from a buzzword to a holistic, mature scientific concept that captures the entire experience that a person has with a multimedia communication service (e.g. online video, web browsing, telephony, etc.). This talk provides an introduction to the concept of QoE and its operationalization in subjective experiments. To this end we first review the origins of QoE as well as the most useful definitions and frameworks that map the main QoE constituents and use cases. In the second part we go about operationalizing QoE, with a focus on how to design and conduct subjective QoE experiments that provide valid and reliable results.CV: Dr. Raimund Schatz is Senior Scientist at the AIT Austrian Institute of Technology, Center for Technology Experience, where he coordinates the Research Field "Experience Measurement". Furthermore, he is Post-Doctoral researcher at the ATHENA Christian-Doppler Laboratory (ITEC, AAU). Until 2015 he was Key Researcher and Area Manager at the Telecommunications Research Center Vienna, Department of User-centered Interaction, Services, and Systems Quality. Raimund Schatz holds an Msc. in Telematics (TU-Graz), a PhD in Informatics (TU-Vienna), as well as an MBA and an MSc. from Open University Business School (UK). He is (co-)author of more than 130 publications in the areas of Quality of Experience, Service Quality, HCI and Pervasive Computing. Furthermore, he is or was actively involved in a number of QoE and HCI-related EU projects and networking activities, including SHOTPROS (H2020), Optiband (FP7), CELTIC QuEEN and COST Actions IC1003 Qualinet and IC1304 ACROSS, as well as the organization of various QoE-related conferences and workshops (e.g. QoENAM 2014, QoE-FI 2016, QCMAN 2016, QoE-Management 2017, QoMEX 2018, QoMEX 2019, etc.).Vortragende(r)Dr. Raimund SchatzKontaktChristian Timmerer (christian.timmerer@itec.aau.at)

VeranstaltungsortN.2.01Veranstalter Institut für MathematikBeschreibungTitle: Justification of Koiter’s model for an elliptic membrane shell over an obstacleAbstract:In this talk, I will present some recent results on obstacle problems for elliptic membrane shells. A specific obstacle problem for the three-dimensional model will be defined and a rigorous asymptotic analysis as the thickness approaches zero will be performed. We will finally compare the obtained result with what is obtained by letting the thickness approach zero in the corresponding Koiter’s model subjected to an obstacle. Vortragende(r)Dr. Paolo PiersantiKontaktSenka Haznadar (senka.haznadar@aau.at)