Diplomarbeiten

Development: Fair Non-Repudiation – System Integration

Status: open Supervisor: Alois Paulin Problem Statement Fair non-repudiation (FNR) is about ensuring communication between two participating parties in which each party can non-repudiably prove that the other party has participated in the message exchange. System-level support for such feature as of now does not yet exist. Goal The goal of the Master thesis is to develop a system service for a … Continue reading Development: Fair Non-Repudiation – System Integration

Classification System: Directions of e-Governance Research

Status: open Supervisor: Alois Paulin Problem Statement e-Governance research and development activities are targeting an emerging trans-disciplinary field of science, which is yet in its pioneering stages. Technical contributions to this field are challenged by a lack of clarity of research directions and often take a following- rather than a leading role in the development of this field. A clearly structured research … Continue reading Classification System: Directions of e-Governance Research

Comparison: Fine-Grained-Access Control to Governance Data in Relational Databases

Status: open Supervisor: Alois Paulin Problem Statement Competing technologies address the challenge to provide dynamic multi-stakeholder access tailored to fit the context of the request for data and the identity of the requester. This so-called fine-grained-access control can be utilised for disruptive governance technology allowing for low-level access to governance data. The objective of this study is to identify … Continue reading Comparison: Fine-Grained-Access Control to Governance Data in Relational Databases

Flow Cytometry Minimal Residual Disease Assessment using Advanced Deep Neural Networks

Status of Master Thesis: in assignment Supervisors: Paolo Rota and Martin Kampel Problem Statement Minimal Residual Disease (MRD) is a powerful risk-stratification marker in the treatment of primary and relapsed childhood Acute Lymphoblastic Leukemia. Flow Cytometry (FCM) is a fast and sensitive method to detect MRD, however, the interpretation of these multiparametric data demands intensive operator training and experience and … Continue reading Flow Cytometry Minimal Residual Disease Assessment using Advanced Deep Neural Networks

Document Understanding

Status: open Supervisors: Florian Kleber, Markus Diem, Stefan Fiel Problem Statement Analysis of the logical layout of documents allows for assigning the content of a document image into a marked-up electronic representation on which higher-level functionality, liked advanced searches (e.g. limiting search to titles, fetching all document images with one specific layout), can be developed. … Continue reading Document Understanding

Pattern Matching of Burglary Tools

Status: open Supervisors:Florian Kleber, Stefan Fiel and Manuel Keglevic Problem Statement Within the project FORMS the traces of burglary tools are analyzed and compared with a database. One the one hand traces of burglary tools of different crime scences can be compared. This is done to identify series burglar. On the other hand the comparison is done … Continue reading Pattern Matching of Burglary Tools

Table Detection in Document Images

Status: open Supervisors: Florian Kleber, Markus Diem Problem Statement Documents can contain tables, which can be placed everywhere within a document page, and a have a regular structure. The detection and analyis of tables is a part of current Document Image Analysis (DIA) systems. The detection of tables is of interest, since tables normally contain specific … Continue reading Table Detection in Document Images

FlowCLUSTER

Status of Master Thesis: open Supervisors: Paolo Rota and Martin Kampel (With a positive development of the work there is the possibility of research funding.) Problem Statement Despite various suggested approaches towards automated FCM-data analysis, there is no ready-to-use analysis tool available yet, which implements the complete FCM-data analysis pipeline, as described by Bashashati et … Continue reading FlowCLUSTER

Evaluation of existing automated MRD methods in R

Status of Master Praktikum: open Supervisors: Paolo Rota, Michael Reiter and Florian Kleber Problem Statement Acute Lymphoblastic Leukaemia (ALL) is the most frequent leukaemia entity in children and adolescents. Despite continued progress and refinement of therapeutic approaches, disease relapse due to insufficient extinction of leukaemic blasts still remains the number one cause of treatment failure. … Continue reading Evaluation of existing automated MRD methods in R

Erfassung der Zusammensetzung von Mahlzeiten

Status der Diplomarbeit: vergeben Betreuer: Rainer Planinc Problemstellung Ungesunde Ernährung ist eine wesentliche Problematik in unserer Gesellschaft. Durch eine ausgewogene Ernährung kann das Risiko vieler Krankheiten (z.B. Herz-Kreislauf-Erkrankungen) drastisch verringert werden. Oft fehlt es jedoch an Disziplin und Wissen, wie eine Mahlzeit zusammengesetzt sein soll. Eine grobe Klassifikation und Mengenangabe der zu sich genommenen Kohlenhydrate, … Continue reading Erfassung der Zusammensetzung von Mahlzeiten