A5079760641- Semantic Web and Ontologies
- Data Quality and Management
- Service-Oriented Architecture and Web Services
- Advanced Database Systems and Queries
- Network Security and Intrusion Detection
- Information and Cyber Security
- Innovation Diffusion and Forecasting
- Manufacturing Process and Optimization
- Business Process Modeling and Analysis
- Advanced Malware Detection Techniques
- Digital Transformation in Industry
- Software System Performance and Reliability
- Flexible and Reconfigurable Manufacturing Systems
- Scientific Computing and Data Management
- Peer-to-Peer Network Technologies
- Data Management and Algorithms
- Cognitive Computing and Networks
- Privacy, Security, and Data Protection
- Privacy-Preserving Technologies in Data
- Simulation Techniques and Applications
- Open Source Software Innovations
- Big Data and Business Intelligence
- Digital and Cyber Forensics
- Software Engineering Research
- Information Systems Education and Curriculum Development
Vienna University of Economics and Business
2009-2024
TU Wien
2013-2023
University of Vienna
2009-2020
Software (Spain)
2013
Dallas County
2013
SBA Research
2012
The systematic and proactive development of human resources is major importance in organizations that rely heavily on the competencies their employees when engaging innovative endeavors. Human capital, however, not only a resource required for conducting research, but also eventual result research. When selecting research portfolio, decision-maker (DM) thus needs to take into consideration both current future competence requirements, as well other financial nonfinancial objectives...
Discrete multi-criteria decision problems with numerous Pareto-efficient solution candidates place a significant cognitive burden on the maker. An interactive, aspiration-based search process that iteratively progresses toward most preferred can alleviate this task. In paper, we study three ways of representing such in DSS, and compare them laboratory experiment using subjective objective measures as well quality problem understanding. addition to an immediate user evaluation, performed...
Abstract It is not easy for students or junior managers to obtain first-hand experience in innovation and technology management. Business gaming simulations can remedy this, as they provide an opportunity acquire practical skills. We developed such a business simulation that enables teams of participants—each managing virtual company competes with other companies several markets—to implement strategies, make resource allocation decisions, test marketing strategies introducing its new...
The diffusion of the Industry 4.0 paradigm has led to a proliferation data that is generated by production assets on shop floor. This opens up new opportunities for analysis quality issues, but it also makes identifying, selecting, and correctly interpreting all more critical. involves multitude domain experts design, operate maintain equipment. Major challenges they face in this context are (i) map integrate their knowledge potential failure modes effects, products, processes assets; (ii)...
Due to the growing complexity of information systems and increasing prevalence sophistication threats, security management has become an enormously challenging task. To identify suspicious activities, analysts need monitor their constantly, which involves coping with high volumes heterogeneous log data from various sources. Processes aggregate these disparate logs trigger alerts when particular events occur are often automated today. However, methods typically based on regular expressions...
During the ramp-up of a production system, complex and difficult to resolve product quality issues often result in tedious experimentation costly delays. A particular challenge this context is insufficient guidance for operators on how adapt their actions new context. Failure Mode Effects Analysis (FMEA) can help identify address likely causes issues. However, FMEA models are typically (i) isolated from engineering domain product, process resource (PPR) concerns, (ii) not actionable...
In this paper, we report on our ongoing research simulation-based information security risk assessment and multi-objective optimization of investment in controls. We outline a methodological framework that accounts for characteristics the organization, its infrastructure, assets to be protected, particular threat sources it faces, decision-makers' preferences. This comprises (i) ontological modeling knowledge, (ii) dynamic attack graph generation techniques, (iii) probabilistic simulation...
In the age of disruption, rapidly evolving conditions in manufacturing necessitate effective capabilities to identify and manage production risks. Some most challenging risks this context emerge from interdisciplinary issues that cannot easily be addressed by methods tools within a single discipline, such as mechanical, electrical, or automation engineering. To enable comprehensive analysis risks, we propose Interdisciplinary Production Risk Exploration (IPRE) structured, data-driven...
In this paper, we discuss technologies and approaches based on Knowledge Graphs (KGs) that enable the management of inline human interventions in AI-assisted manufacturing processes Industry 5.0 under potentially changing conditions order to maintain or improve overall system performance. Whereas KG-based systems are commonly a static view with their structure fixed at design time, argue dynamic challenge Human-AI (H-AI) collaboration industrial settings calls for late shaping principle....
Second generation biofuels are widely considered a promising energy alternative to conventional (fossil) fuels. Although they will not completely replace fossil fuels (e.g., due the limited availability of biomass), these high-quality can contribute reducing emissions and strengthening country's autonomy. In Austria, team at Vienna University Technology is developing biomass-to-liquid technology based on Fischer-Tropsch synthesis. While remaining technical obstacles expected be overcome in...
Purpose – This paper aims to present a collaborative mashup platform for dynamic integration of heterogeneous data sources. The encourages sharing and connects publishers, integrators, developers end users. Design/methodology/approach approach is based on visual programming paradigm follows three fundamental principles: openness, connectedness reusability. semantic Web technologies the concept linked widgets, i.e. modules that allow users access, integrate visualize in creative manner....