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

2020

Posch, Konstantin:
•  Regularization of Statistical Models with a Focus on Bayesian Methods

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