Alumni
Habilitations
2015
Hofer, Vera:
• Predictive Analytics with Applications in Business and Industry
2014
Kazianka, Johannes:
• Bayesian Methods for Analyzing Spatial, Environmental and Image Data
2011
Spöck, Gunter:
• The Application of Bayesian Statistics and Convex Design Methodologies to Geo-Statistical Prediction and Sampling Design
PhD Theses
2017
Niemetz, Christian:
• Statistical Design and Process Optimization – with Applications to the Decor Printing Industry
Khan, Firdos:
• Improved Hydrological Projections and Statistical Downscaling of Process-Based Climate Models for the Upper Indus Basin
• Higher Education Commission HEC, Pakistan
2016
Zernig, Anja:
• Device Level Maverick Screening
• Cooperation with KAI Villach
2015
Kurz, Daniel:
• Advanced Statistical Models for Semiconductor Burn-in Studies
• ENIAC-JU-FP7-Project „EPT300 – Enabling Power Technologies for 300mm Wafers”
Plankensteiner, Kathrin:
• Application of Bayesian Networks Bayesian and Stochastic Models to Predict Smart Power Switch Lifetime
• Cooperation with KAI Villach
Arnold, Thomas:
• Multivariate Analysis of Hyperspectral Image Data from Human Soft Tissue Tumours
• Cooperation with CTR Villach
Engert-Oostingh, Ingo:
• Ein genetisch orientierter Lehrgang zur Wahrscheinlichkeitsrechnung
• Co-supervised with Prof. K. Fuchs, Univ. Salzburg
2013
König, Sandra:
• Stochastic Analysis of Security and Capacity of a Quantum Network
Mohsin, Muhammad:
• A New Class of Distributions Generated from Functional Scale Parameters
• Higher Education Commission HEC, Pakistan
2012
Griedl, Dominik:
• Portfoliooptimierung mit alternativen Anlageklassen
• Project with Griedl GmbH & Co KG
Al Machot, Fadi:
• A Robust Event Detection under Uncertainty in Video/Audio Surveillance Systems
• Co-supervised with Prof. K. Kyamakya, AAU Klagenfurt
2011
Bluder, Olivia:
• Prediction of Smart Power Device Lifetime Based on Bayesian Modeling
• Cooperation with KAI Villach, Competence Center for Industrial and Automotive Applications
Mulyk, Michael:
• Application of Unsupervised Spectral Unmixing Techniques
• Cooperation with CTR Villach, Carinthian Tech Research, COMET I Programme, “Snapshot Imaging” Project
2010
Poetsch, Laura:
• Early Failure Detection by Robust Statistics and Spatial Point Processes
• Cooperation with Infineon Villach
Hussain, Ijaz:
• Spatio-Temporal Interpolation and Spatial Sampling Design for Precipitation in Pakistan during Monsoon
• Higher Education Commission HEC, Pakistan
Nkurunziza, Hermenegilde:
• Spatio-Temporal Association between Malaria and Climate in Burundi
• North-South Dialogue Programme, Austrian Academic Exchange Service, OEAD
2009
DI Hannes Kazianka promoviert sub auspiciis praesidentis rei publicae, Ehrenring der Republik durch Bundespräsident Heinz Fischer
Kazianka, Hannes:
• Spatial Modeling and Interpolation Using Copulas
• Promotio sub auspiciis praesidentis in March 2010
• EU-FP6-IST Project “INTAMAP – Interoperability and Automated Mapping”
Rass, Stefan:
• On Information-Theoretic Security: Contemporary Problems and Solutions
• Co-supervised with Prof. Dr. P. Horster, AAU Klagenfurt
Lewitschnig, Horst:
• Stress Interaction Models
• Cooperation with Infineon Villach
Wakounig, Samo:
• On weighted Estimation and Inference by Semiparametric Methods of Survival Analysis
• Co-supervised with Prof. M. Schemper, Med. Univ. Wien
2007
Promotion sub auspiciis von Dipl.-Ing. MMag. Dr. Vera Hofer, Ehrenring der Republik durch Bundespräsident Heinz Fischer
Hofer, Vera:
• Statistical Process Management in the Aggregates Industry
• Promotio sub auspiciis praesidentis in May 2008
• Part of the EUREKA-Project E!2536 PETROSCOPE
Muringer, Sonja:
• Advanced Process Control Based on Multivariate Control Charts and Dynamic Linear Models
• Cooperation with Infineon Villach
Kraiger, Björn:
• Value at Risk – Bayesscher Zugang und Verifikation konkreter Probleme anhand von ausgewählten Monte Carlo Methoden
• Cooperation with Pioneer Investment Vienna
Pluch, Philipp:
• Theory for Quantum Probability: A Reformulation and an Application of Classical Stochastic Theory for Quantum Probability and Quantum Statistical Inference
• EU-FP6-IST Project “SECOQC – Secure Communication in Quantum Cryptography”
2006
Rodiga-Lassnig, Petra:
• Die Anwendung von Cox Modellen und Gibbs Sampling zur Einschätzung des unternehmerischen Risikos von Gewährleistungspflichten in der industriellen Produktinnovation
• Cooperation with Philipps HGW Klagenfurt
Spöck, Gunter:
• Bayesian Spatial Prediction and Sampling Design
• Funded by FWF-Project “Spatial Sampling Design for Correlated Observations”
• Joint project with Prof. W.G. Mueller, JKU Linz
2004
Wendler, Tilo:
• Determinanten von Benutzerzufriedenheit und Kosten von IT-Systemen am Beispiel des Server-based Computings
• Cooperation with Deutscher Sparkassenverband Berlin
2003
De Luca, Cristina:
• Statistical Concepts and Methods for Run-to-Run Control in Semiconductor Lithography
• Cooperation with Infineon Villach, Advanced Process Control Unit
Gebhardt, Claudia:
• Bayessche Methoden in der geostatistischen Versuchsplanung
2002
Mlekusch, Gerhard:
• Bewältigungsstrategien von Dialyse- und Nierentransplantationspatienten – ein empirischer Vergleich
• Cooperation with Primar Prof. Dr. O. Wieser, LKH Klagenfurt
2000
Grube, Sven:
• Die Anwendung Generalisierter Linearer Modelle zur Bestimmung kleinräumlicher Disparitäten der Pathogenese. Eine Darstellung von Atemwegsproblemen und Lungenerkrankungen in Klagenfurt und Umland
• Cooperation with Magistrat Klagenfurt
1998
Gebhardt, Albrecht:
• Neuronale Netze – Eine Alternative in der Räumlichen Statistik?
Koboltschnig, Rose-Gerd:
• Anwendung Bayesscher Modelle in der räumlichen Epidemiologie am Beispiel von Lungen-Karzinomdaten in Westösterreich
Diploma- and Master Theses
2018
Unterweger, Romana:
• Development of a controller using a Bayesian dynamic linear filtering approach
Mache, Tamina:
• Architectural ADC Exploration using Spectral Analysis
Petschnigg, Christina:
• Penalized and Sparse Bayesian Regression Estimation for Machine Learning
Scheiber, Michael:
• Advanced spatio-temporal prediction methods for pesticide dispersion and turbulence data
Posch, Konstantin:
• Hyperspectral Deep Learning for Fruit and Vegetable Recognition and Bayesian Deep Learning to Accurately Determine Model Uncertainty
Wedenig, Philipp:
• Machine Learning Methods to Detect Damage Patterns in MIcrostructure Images
2017
Alagić, Vedo:
• Test Pattern Extraction for Semiconductor Wafer Test Data
Alagić, Dženana:
• A Statistical Measure for Fatigue Induced Degradation in Metal Layers
2016
Polzer, David Philipp:
• Development and Enhancement of a Virtual Metrology Configuration and Implementation of Random Forests
Schrunner, Stefan:
• Optimal Bayesian Experimental Design for Crossover Semiconductor Lifetime Studies
Weinberger, Christoph Walter:
• Rating-Systeme – Ein statistischer Zugang
Juritsch-Beyer, Andrea-Sybille:
• Logistische Regressionsmodelle und ihre Anwendung in der medizinischen Statistik
Scherr, Petra:
• Modelling – A Key to Understand Random Situations
Jury, Marina:
• Qualität von Verfahren zur Schadenreservierung
Maier, Tanja:
• Räumliche statistische Analyse und Messnetzplanung für HCB- und Hg-Daten aus dem Görtschitztal
Mitsch, Christian:
• Box-Jenkins- und Zustandsraummodelle zur Prognoseentwicklung von multivariaten Zeitreihen in R
2015
Vollert, Natalie:
• Application and Verification of Advanced Design of Computer Experiment Approaches for Fundamental Semiconductor Structures
Kofler, Corinna:
• Automatic Defect Classification in Topography Images of Silicon Wafers
2014
Schuster, Josef Kurt:
• Statistical Evaluation of Funds Using R
Wieser, Thomas Florian:
• Autonomous Task Selection of Unmanned Aerial Vehicles for Delivery of Goods: Partitioning versus Non-partitioning Policies
Živadinović, Milan:
• Multivariate Datenanalyse von hyperspektralen Bilddaten
Graf, Thomas:
• Vine Copulas und deren Anwendung in der Finanzmathematik
Krassnitzer, Karl Patrick:
• Modellierung des claims development result mittels dynamischer linearer Modelle
Lembacher, Andreas:
• Data Mining for Financial Risk Management
Lenzi, David:
• Optimal Prediction and DoE of Correlated and Uncertain Data
Aichern, Michael:
• Optimal Experimental Designs for Generalized Linear Models
2013
Zernig, Anja:
• Optimal Design of Experiments for Semiconductor Data following a Mixtures-of-Experts Model
2012
Krabber, Silke:
• Anwendung der Zeitreihenanalyse und Dynamischer Linearer Modelle in der Finanzstatistik
Kurz, Daniel:
• On a Sampling Decision System using Virtual Metrology
Mößlacher, Christian:
• Random Numbers – Sequences Based on Linear Feedback
2011
Stueckler, Peter:
• Modellierung stochastisch abhängiger Prozesse und Extremereignisse durch multivariate Zeitreihen und Copulas
Binter, Andreas:
• Modellierung stochastischer Cash-Flows
Grün, Petra Sara:
• Die Anwendung von Generalisierten Linearen Gemischten Modellen in der Tourismusbranche
Plankensteiner, Kathrin:
• Application of Bayesian Models to Predict Smart Power Switch Lifetime
2010
Lessiak, Katharina:
• Application of Generalized Linear (Mixed) Models and Nonparametric Regression Models for the Analysis of QKD Networks 2010
2009
Fu-Müller, Lisha:
• Wavelet Analysis
Mulyk, Michael:
• Application of generalized Poisson regression models to the prediction of tourist income
Niemetz, Christian Thomas:
• Markov Random Fields in Image Processing – A Practical View on Texture Generation and the Restoration of Images
2008
Hubmann, Lisa Anna:
• Predictive Modelling for Virtual Testing in the Aggregates Industry
Bluder, Olivia Belinda:
• Statistical Analysis of Smart Power Switch Life Test Results
Krierer, Peter:
• Modelle zur Bewertung von Kreditrisiken und Kreditderivaten
2007
Mirnig, Ines:
• Zeitreihenanalyse mit R
Kazianka, Hannes:
• Classification Techniques for Hyper-Spectral Medical Image Data
Poetsch, Laura:
• Stochastical Assessment of Burn-In at Infineon Technologies Austria AG
Piechl, Claudia:
• Measurement Data Analysis – Method to detect Drift on Device Level
Hassler, Martin:
• Optimierung der V-Streuung einer speziellen Technologie anhand statistischer Modellbildung
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