A5069119211- Data Management and Algorithms
- Advanced Database Systems and Queries
- Distributed and Parallel Computing Systems
- Scientific Computing and Data Management
- Geographic Information Systems Studies
- Advanced Data Storage Technologies
- Physics and Engineering Research Articles
- Advanced Computational Techniques and Applications
- Semantic Web and Ontologies
- Algorithms and Data Compression
- Big Data Technologies and Applications
- Service-Oriented Architecture and Web Services
- 3D Modeling in Geospatial Applications
- Engineering Education and Curriculum Development
- Geological Modeling and Analysis
- German Literature and Culture Studies
- Epistemology, Ethics, and Metaphysics
- Logic, programming, and type systems
- Distributed systems and fault tolerance
- Experimental Learning in Engineering
- Engineering Education and Pedagogy
- Data Quality and Management
- Graph Theory and Algorithms
- Formal Methods in Verification
- Geochemistry and Geologic Mapping
Constructor University
2016-2025
University of Bremen
2025
Institute for Applied Systems Technology Bremen
2012-2024
Johannes Gutenberg University Mainz
2023
Institute of Molecular Biology
2023
Hochschule Bremen
2012-2023
Central Connecticut State University
2015-2023
Swarthmore College
2002-2022
Berlin Heart (Germany)
2019-2022
Hermann Staudinger Gymnasium
2022
Big Data Analytics is an emerging field since massive storage and computing capabilities have been made available by advanced e-infrastructures. Earth Environmental sciences are likely to benefit from techniques supporting the processing of large number Observation datasets currently acquired generated through observations simulations. However, Science data applications present specificities in terms relevance geospatial information, wide heterogeneity models formats, complexity processing....
RasDaMan is a universal — i.e., domain-independent array DBMS for multidimensional arrays of arbitrary size and structure. A declarative, SQL-based query language offers flexible retrieval manipulation. Efficient server-based evaluation enabled by an intelligent optimizer streamlined storage architecture based on tiling compression.
Data about the Earth, like in many other domains, are too difficult to access. In order perform some insight-gaining task a series of steps has be performed which often require spectrum detail technology skills not related original Earth science on hand. Special-purpose file formats with sometimes rather peculiar mechanics, juggling horizontal, vertical, and time reference systems, scaling up processing large amounts data just few such common issues. One reason is that provided more...
Abstract Multi-dimensional arrays (also known as raster data or gridded data) play a key role in many, if not all science and engineering domains where they typically represent spatio-temporal sensor, image, simulation output, statistics “datacubes”. As classic database technology does support adequately, such today are maintained mostly silo solutions, with architectures that tend to erode keep up the increasing requirements on performance service quality. Array Database systems attempt...
Abstract Nowadays, there is contrasting evidence between the ongoing continuing and widespread environmental degradation many means to implement sustainability actions starting from good policies (e.g. EU New Green Deal, CAP), powerful technologies new satellites, drones, IoT sensors), large databases stakeholder engagement EIP‐AGRI, living labs). Here, we argue that tackle above issues dealing with land degradation, it very much required develop use friendly freely available web‐based...
RasDaMan is a universal — i.e., domain-independent array DBMS for multidimensional arrays of arbitrary size and structure. A declarative, SQL-based query language offers flexible retrieval manipulation. Efficient server-based evaluation enabled by an intelligent optimizer streamlined storage architecture based on tiling compression. being used in several international projects the management geo healthcare data various dimensionality.
Abstract Over 25 implementations of different functional languages are benchmarked using the same program, a floating-point intensive application taken from molecular biology. The principal aspects studied compile time and execution for various that were benchmarked. An important consideration is how program can be modified tuned to obtain maximal performance on each language implementation. With few exceptions, compilers take significant amount this though most faster than then current GNU...
Storage management of multidimensional arrays aims at supporting the array model needed by applications and insuring fast execution access operations. Current approaches to store rely on partitioning data into chunks (equally sized subarrays). Regular however, does not adapt patterns, leading suboptimal performance. We propose a storage approach for discrete (MDD) based arbitrary tiling. Tiling is in that any disjoint intervals as well incomplete coverage n-D space gradual growth MDDs are...
In the era of ubiquitous data collection and generation, demands are high to make these accessible as widely possible, with little effort much power flexibility ever possible. On Earth data, this holds in particular for pixel point clouds, some main "Big Data" today. Coverages represent a unifying concept space/time-varying especially spatio-temporal gridded nowadays often called "datacubes". Coverage standards exist, however, their fundaments appear places technically outdated, imprecise,...
Air traffic today is immense, with large numbers of humans and goods transported routinely, but also in search rescue missions, military contexts, hobby piloting, etc. Still, aviation safer than it ever has been, thanks to advanced technology procedures which are continuously revisited and, where necessary, improved. Of central importance for planning conducting flights the atmospheric condition aircraft flying in, represented by various relevant weather parameters. Hence, these monitored.In...
The DynAWI Extreme Weather Toolbox represents an innovative approach to addressing climate-related challenges in agriculture. This publicly accessible web application offers three primary functions: a historical agricultural weather indicator atlas, dynamic configurator for calculating user-specified indexes, and forecast model predicting reduced yields or complete crop failure due extremes. can perform real-time analyses based on multi-dimensional spatio-temporal data.The technical...
Datacubes are an accepted cornerstone for Analysis-Ready Data (ARD). One analysis technique of skyrocketing importance today is AI, and this begs the question: how to generalize evaluation pre-trained models on datacubes?From a theoretial viewpoint, connection immediate: datacubes mathematically resemble tensors, EO evaluate tensors. In practice, though, situation less straightforward as our experiments with different have shown. A main issue variety lack standardized interfaces ML models:...
Since array data of arbitrary dimensionality appears in massive amounts a wide range application domains, such as geographic information systems, climate simulations, and medical imaging, it has become crucial to build scalable systems for complex query answering real time. Cloud architectures can be expected significantly speed up databases.
Recent trends on big Earth-observing (EO) data lead to some questions that the Earth science community needs address. Are we experiencing a paradigm shift in research now? How can better utilize explosion of technology maturation create new forms EO processing? Can summarize existing methodologies and technologies scaling as field named earth science? Big are being widely practiced sciences remote sensing communities support access, processing, knowledge discovery. The data-intensive...
Abstract Informed, wise, land management has been a challenge since long time, but gained extra importance through the need for responding to climate change effects. The European Green Deal is one example of concertation effort in world where data availability, sharing options, and just‐in‐time exploitation are not entirely solved. LandSupport service responds this combination Spatial Decision Support System on top datacube analytics engine. In paper, we specifically focus engine how it can...
Lightning is a hazard for many sectors and industries, including the power utility sector, wind turbines, forest management, civil aviation.  Commercial aircraft are struck by lightning approximately once every year, but most airlines try to avoid thunderstorms if possible rerouting around these turbulent electrified storms.  However, such diversions can delay flights, add costs fuel demands, while increasing greenhouse gas emissions company.  In this study using...