Martin Weise
A5065587340- Research Data Management Practices
- Scientific Computing and Data Management
- Advanced Steganography and Watermarking Techniques
- Internet Traffic Analysis and Secure E-voting
- Privacy-Preserving Technologies in Data
- Caching and Content Delivery
- Semantic Web and Ontologies
- Advanced Database Systems and Queries
- Advanced Data Storage Technologies
- Access Control and Trust
- Cryptography and Data Security
- Biomedical Text Mining and Ontologies
- Distributed and Parallel Computing Systems
- Additive Manufacturing Materials and Processes
- Network Security and Intrusion Detection
- Allergic Rhinitis and Sensitization
- Peer-to-Peer Network Technologies
- Algorithms and Data Compression
- Digital Transformation in Industry
- Smart Grid Security and Resilience
- IL-33, ST2, and ILC Pathways
- Asthma and respiratory diseases
- Data Quality and Management
- Data Mining Algorithms and Applications
- Information and Cyber Security
TU Wien
2021-2024
Technische Universität Braunschweig
2024
University of Rostock
2023
The main goals and challenges for the life science communities in Open Science framework are to increase reuse sustainability of data resources, software tools, workflows, especially large-scale data-driven research computational analyses. Here, we present key findings, procedures, effective measures recommendations generating establishing sustainable resources based on collaborative, cross-disciplinary work done within EOSC-Life (European Cloud Life Sciences) consortium. Bringing together...
Meeting the conflicting goals of protecting and maintaining control over sensitive data while also allowing access by third parties constitutes a significant challenge. Secure infrastructures support visiting in highly controlled monitored environment which, if properly set-up operated, provide high security guarantees through combination technical, legal procedural mechanisms. To ease process deploying such secure infrastructure, we present detailed documentation architecture processes an...
Data curation is a complex, multi-faceted task. While dedicated data stewards are starting to take care of these activities in close collaboration with researchers for many types (usually file-based) institutions, this rarely yet the case held relational databases. Beyond large-scale infrastructures hosting e.g. climate or genome data, usually have create, build and maintain their database, about security patches, feed into it order use research. curation, if at all, happens after project...
Trusted Research Environments (TREs) enable the analysis of sensitive data under strict security assertions that protect with technical, organizational, and legal measures from (accidentally) being leaked outside facility. While many TREs exist in Europe, little information is available publicly on architecture descriptions their building blocks slight technical variations. To highlight these problems, an overview existing, described a bibliography linking to system description are provided....
In Laser Powder Bed Fusion, process material defects such as a lack of fusion, powder inclusions and cavities occur repeatedly by chance. These stochastically distributed can significantly reduce the mechanical performance components during operation. Possible in situ repair solutions multiple remelting specific layer areas are promising approaches to avoid these finished component, thus improving overall properties. this context, present study investigates artificially introduced using...
The growth of the Industry 4.0 initiatives insinuate needs for future manufacturing workforce to embrace digital technology skills complimentary their core skills. One main prerequisites facilitate learning such is availability data processing flow and repository capturing managing data. To address this challenge as result research, we have identified a set requirements, proposed architecture, deployed prototype based on architecture in one educational factory at UTeM. We conclude paper with...
In the last decade, key-value data storage systems have gained significantly more interest from academia and industry. These face numerous challenges concerning space- read optimization. There exists a large potential for improving current solutions by introducing new management techniques algorithms. this paper we give an overview of basic concept provide explanation bottlenecks. Further introduce two memory algorithms improved index structure. Finally, these are compared to each other discussed.