Morris Riedel

Data-driven deep learning models in particle-laden turbulent flowPhysics of Fluids

Optimizing Wind Energy ProductionActa Polytechnica Hungarica

Supporting Seismic Data Survey Design Through the Integration of Satellite-Based Land Cover Maps

Hands-On Plant Root System Reconstruction in Virtual Reality

Authors’ responseJournal of Critical Care

Quantum Annealing for Semantic Segmentation in Remote Sensing

Distributed hybrid quantum-classical performance prediction for hyperparameter optimizationQuantum Machine Intelligence

Development of a machine learning model for prediction of the duration of unassisted spontaneous breathing in patients during prolonged weaning from mechanical ventilationJournal of Critical Care

Analysing the self-assembly modes in chiral multi-component gels based on donor and acceptor moietiesSupramolecular Chemistry

Enhancing Land Cover Mapping

Resource-Adaptive Successive Doubling for Hyperparameter Optimization with Large Datasets on High-Performance Computing Systems

Reverse Quantum Annealing for Hybrid Quantum-Classical Satellite Mission Planning

Kernel Approximation on a Quantum Annealer for Remote Sensing Regression TasksIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Wind Velocity and Forced Heat Transfer Model for Photovoltaic ModuleFluids

Sen4MapIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

A scalable pipeline to create synthetic datasets from functional–structural plant models for deep learningIn Silico Plants

Automated Processing of Pipelines Managing Now- and Forecasting of Infectious Diseases

Vectorized Highly Parallel Density-based Clustering for Applications with NoiseIEEE Access

Turbulent Flow Prediction-SimulationFluids

Iceland Wind Farm Assessment Case Study and Development: An Empirical Data from Wind and Wind TurbineCleaner Energy Systems

Adaptive multi-tier intelligent data manager for Exascale

A wake loss model asymmetry induced by the circulation of a vertical axis wind turbine

Enabling Hyperparameter-Tuning of AI Models for Healthcare using the CoE RAISE Unique AI Framework for HPC

Leading-Edge Erosion and Floating ParticlesMachines

Prediction of Head Related Transfer Functions Using Machine Learning ApproachesAcoustics

Developing an Artificial Intelligence-Based Representation of a Virtual Patient Model for Real-Time Diagnosis of Acute Respiratory Distress SyndromeDiagnostics

End-to-End Process Orchestration of Earth Observation Data Workflows with Apache Airflow on High Performance Computing

A wake loss model asymmetry induced by the circulation of a vertical axis wind turbine

Buckling Assessment in the Dynamics Mechanisms, Stewart Platform Case StudyComputation

An experiment generates a specified mean strained rate turbulent flow: Dynamics of particlesPhysics of Fluids

A Single-Step Multiclass SVM Based on Quantum Annealing for Remote Sensing Data ClassificationIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Short Paper

Adiabatic Quantum Kitchen Sinks with Parallel Annealing for Remote Sensing Regression Problems

Optimal Resource Allocation for Early Stopping-based Neural Architecture Search MethodsProceedings of Machine Learning Research

Vertical Axis Wind Turbine Powers Telecom Towers

Lattice Boltzmann Method Speedup via Computing Accelerating Compiler and Parallel Computing: Flow over Cylinder with High Reynolds

A Novel Implicit Model Determines the Photovoltaic Panel Temperature and Environmental Effects

Deciphering the dynamics of distorted turbulent flowsPhysics of Fluids

Large scale performance analysis of distributed deep learning frameworks for convolutional neural networksJournal of Big Data

An experiment generates a specified mean strained rate turbulent flowPhysics of Fluids

Toward the Production of Spatiotemporally Consistent Annual Land Cover Maps Using Sentinel-2 Time SeriesIEEE Geoscience and Remote Sensing Letters

Enhancing Training Set Through Multi-Temporal Attention Analysis in Transformers for Multi-Year Land Cover Mapping

An experiment generates a specified mean strained rate turbulent flow: Dynamics of particlesPhysics of Fluids

Quantum SVR for Chlorophyll Concentration Estimation in Water With Remote SensingIEEE Geoscience and Remote Sensing Letters

Künstliche IntelligenzAnasthesiologie Intensivmedizin Notfallmedizin Schmerztherapie

Mechanical Elements Analysis of Stewart Platform: Computational ApproachInternational Journal of Science and Research (IJSR)

Lessons learned on using High-Performance Computing and Data Science Methods towards understanding the Acute Respiratory Distress Syndrome (ARDS)

Attitudes and perception of artificial intelligence in healthcareDigital Health

Replicating Human Sound Localization with a Multi-Layer Perceptron

Speed-Up of Machine Learning for Sound Localization via High-Performance Computing

Analysis of Chest X-ray for COVID-19 Diagnosis as a Use Case for an HPC-Enabled Data Analysis and Machine Learning Platform for Medical Diagnosis SupportDiagnostics

Facilitating Collaboration in Machine Learning and High-Performance Computing Projects with an Interaction Room

Accelerating Hyperparameter Tuning of a Deep Learning Model for Remote Sensing Image Classification

An Automatic Approach for the Production of a Time Series of Consistent Land-Cover Maps Based on Long-Short Term Memory

Deep Learning Forecasts a Strained Turbulent Flow Velocity Field in Temporal Lagrangian FrameworkFluids

The Capability of Recurrent Neural Networks to Predict Turbulence Flow via Spatiotemporal Features

Improving Generalization for Few-Shot Remote Sensing Classification with Meta-Learning

Numerical Investigation on the Acceleration Vibration Response of Linear ActuatorOALib

Implicit Equation for Photovoltaic Module Temperature and Efficiency via Heat Transfer Computational ModelThermo

A Review in Context to Wind Effect on NOCT Model for Photovoltaic PanelPeer Review Journal of Solar & Photoenergy Systems

Quantum Support Vector Regression for Biophysical Variable Estimation in Remote Sensing

Lagrangian Particle Tracking Data of a Straining Turbulent Flow Assessed Using Machine Learning and Parallel Computing

Multiclass SVM with Quantum Annealing

The Capability of Recurrent Neural Networks to Predict Turbulence Flow via Spatiotemporal Features

Deep Learning Forecasts a Strained Turbulent Flow Velocity Field in Temporal Lagrangian Framework: Comparison of LSTM and GRUFluids

Practice and Experience using High Performance Computing and Quantum Computing to Speed-up Data Science Methods in Scientific Applications

Earth Science with NextDBSCAN, NextSVM and Deep Learning

Hybrid Quantum-Classical Workflows in Modular Supercomputing Architectures with the Julich Unified Infrastructure for Quantum Computing

QUANTUM SUPPORT VECTOR MACHINE ALGORITHMS FOR REMOTE SENSING DATA CLASSIFICATION

Practice and Experience in using Parallel and Scalable Machine Learning with Heterogenous Modular Supercomputing Architectures

A High-Performance Multispectral Adaptation GAN for Harmonizing Dense Time Series of Landsat-8 and Sentinel-2 ImagesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

A Practical Approach for Estimating the Optimum Tilt Angle of a Photovoltaic Panel for a Long Period—Experimental Recorded DataSolar

PRACTICE AND EXPERIENCE IN USING PARALLEL AND SCALABLE MACHINE LEARNING IN REMOTE SENSING FROM HPC OVER CLOUD TO QUANTUM COMPUTING

EVOLUTIONARY OPTIMIZATION OF NEURAL ARCHITECTURES IN REMOTE SENSING CLASSIFICATION PROBLEMS

Design and Evaluation of an HPC-based Expert System to speed-up Retail Data Analysis using Residual Networks Combined with Parallel Association Rule Mining and Scalable Recommenders

ENHANCING LARGE BATCH SIZE TRAINING OF DEEP MODELS FOR REMOTE SENSING APPLICATIONS

Towards Large-Scale Rendering of Simulated Crops for Synthetic Ground Truth Generation on Modular Supercomputers

A Practical Approach for Estimating the Optimum Tilt Angle of a Photovoltaic Panel for a Long Period—Experimental Recorded DataSolar

Future medical artificial intelligence application requirements and expectations of physicians in german university hospitalsJournal of Medical Internet Research

Practice and Experience in using Parallel and Scalable Machine Learning with Heterogenous Modular Supercomputing Architectures

JUWELS Booster – A Supercomputer for Large-Scale AI Research

Algorithmic surveillance of i CU patients with acute respiratory distress syndrome (ASIC)BMJ Open

An HPC-Driven Data Science Platform to Speed-up Time Series Data Analysis of Patients with the Acute Respiratory Distress Syndrome

Exploration of machine learning methods for the classification of infrared limb spectra of polar stratospheric cloudsAtmospheric Measurement Techniques

Approaching Remote Sensing Image Classification with Ensembles of Support Vector Machines on the D-Wave Quantum Annealer

Scaling Up a Multispectral Resnet-50 to 128 GPUs

Scientific workflows applied to the coupling of a continuum (Elmer v8.3) and a discrete element (HiDEM v1.0) ice dynamic modelGeoscientific Model Development

Automatic water mixing event identification in the Koljö fjord observatory dataInternational Journal of Data Science and Analytics

Cloud deep networks for hyperspectral image analysisIEEE Transactions on Geoscience and Remote Sensing

Scalable Workflows for Remote Sensing Data Processing with the Deep-Est Modular Supercomputing Architecture

Multi-Scale Convolutional SVM Networks for Multi-Class Classification Problems of Remote Sensing Images

Automatic water mixing events identification in the Koljö fjord observatory dataInternational Journal of Data Science and Analytics

Remote sensing big data classification with high performance distributed deep learningRemote Sensing

Remote Sensing Data Analytics with the Udocker Container Tool using Multi-GPU Deep Learning Systems

Scaling support vector machines towards exascale computing for classification of large-scale high-resolution remote sensing images

The influence of sampling methods on pixel-wise hyperspectral image classification with 3D convolutional neural networks

Enabling Interactive Supercomputing at JSC Lessons Learned

Smart Medical Information Technology for Healthcare (SMITH)Methods of Information in Medicine

Enabling scientific workflow and gateways using the standards-based XSEDE architecture

Parallel Computation of Component Trees on Distributed Memory MachinesIEEE Transactions on Parallel and Distributed Systems

Modular supercomputing design supporting machine learning applications

Automated analysis of remotely sensed images using the unicore workflow management system

Towards Federated Service Discovery and Identity Management in Collaborative Data and Compute Cloud InfrastructuresJournal of Grid Computing

Automatic object detection using DBSCAN for counting intoxicated flies in the Florida assay

Tree-based supervised feature extraction method based on self-dual attribute profiles

Facilitating collaboration in high-performance computing projects with an interaction room

Facilitating efficient data analysis of remotely sensed images using standards-based parameter sweep models

Implementing an authorisation architecture in the EUDAT services federation

Supporting software engineering practices in the development of data-intensive HPC applications with the JuML framework

Scientific Big Data Analytics by HPC

Enabling Scalable Data Processing and Management through Standards-based Job Execution and the Global Federated File SystemScalable Computing: Practice and Experience

HPDBSCAN - Highly parallel DBSCAN

Scalable developments for big data analytics in remote sensing

Overview of XSEDE-PRACE collaborative projects in 2014

Interoperable job execution and data access through UNICORE and the Global Federated File System

Scalable and parallel machine learning algorithms for statistical data mining - Practice & experience

On scalable data mining techniques for earth scienceProcedia Computer Science

On Understanding Big Data Impacts in Remotely Sensed Image Classification Using Support Vector Machine MethodsIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Advancements of the UltraScan scientific gateway for open standards-based cyberinfrastructuresConcurrency and Computation: Practice and Experience

Smart data analytics methods for remote sensing applications

High productivity data processing analytics methods with applications

Federated authentication and credential translation in the EUDAT collaborative data infrastructure

On Enabling Hydrodynamics Data Analysis of Analytical Ultracentrifugation Experiments

Improvements of the ultrascan scientific gateway to enable computational jobs on large-scale and open-standards based cyberinfrastructures

High productivity processing - Engaging in big data around distributed computing

A data infrastructure reference model with applicationsJournal of Internet Services and Applications

Enhancing the performance of scientific workflow execution in e-science environments by harnessing the standards based parameter sweep model

Enhanced resource management enabling standard parameter sweep jobs for scientific applications

Interoperable execution of escience applications on grids & clouds through open standards

On realizing the concept study ScienceSoft of the European Middleware Initiative

Software for distributed systems - The EMI product portfolioProceedings of Science

EMIRProceedings of Science

UNICORE EMI-Execution service realization towards improved open standardsProceedings of Science

Bridging the gaps

Towards next generations of software for distributed infrastructures

UNICORE 2020 - Strategic options for the future

Requirements of an e-science infrastructure interoperability reference model

DEISA-Distributed European Infrastructure for Supercomputing ApplicationsJournal of Grid Computing

e-Science infrastructure integration invariants to enable HTC and HPC interoperability applications

e-Science Infrastructure Interoperability Guide

Grids and clouds integration and interoperabilityProceedings of Science

Exploring the potential of using multiple e-science infrastructures with emerging open standards-based e-health research tools

Experiences and requirements for interoperability between HTC and HPC-driven e-science infrastructure

Towards individually formed computing infrastructures with high throughput and high performance computing resources of large-scale grid and e-Science infrastructures

Supporting scientific biological applications with seamless database access in interoperable e-science infrastructures

DEISA

UNICORE 6 - Recent and future advancementsAnnales des Telecommunications/Annals of Telecommunications

Lessons learned from jointly using HTC- and HPC-driven e-Science infrastructures in fusion science

Improvements of common open Grid standards to increase high throughput and High Performance Computing effectiveness on large-scale grid and e-science infrastructures

The key role of the UNICORE technology in european distributed computing infrastructures supporting e-science applications in the decades to come

Research advances by using interoperable e-science infrastructuresCluster Computing

Concepts and Design of an Interoperability Reference Model for Scientific- and Grid Computing Infrastructures

Interoperation of world-wide production e-Science infrastructuresConcurrency and Computation: Practice and Experience

Grid interoperability for e-researchJournal of Grid Computing

UNICORE 6-A European grid technology

Supporting interoperability of e-science infrastructures with a common information service

Benchmarking of integrated OGSA-BES with the grid middleware

Life science application support in an interoperable E-Science environment

Enabling grid interoperability by extending hpc-driven job management with an open standard information model

Collaborative Interactivity in Parallel HPC Applications

Classification of different approaches for e-science applications in next generation computing infrastructures

Usage of the UNICORE Grid Technology in Scientific and Economic DomainsAIP Conference Proceedings

Extending the collaborative online visualization and steering framework for computational grids with attribute-based authorization

Using SAML-based VOMS for authorization within web services-based UNICORE grids

Improving e-Science with Interoperability of the e-Infrastructures EGEE and DEISA

Grid-Based Workflow Management for Automatic Performance Analysis of Massively Parallel Applications

Experiences and Requirements for Interoperability between HTC- and HPC-driven e-Science Infrastructures, in conference proceedings of the Korea e-Science All Hands Meeting

Using SAML-based VOMS 23 for Authorization within Web Services-based UNICORE Grids

VISIT/GS

Enhanced resource management capabilities using standardized job management and data access interfaces within UNICORE grids

Design and evaluation of a collaborative online visualization and steering framework implementation for computational grids

User-Level Monitoring in Computational Grids and e-Science Infrastructures

Computational steering and online visualization of scientific applications on large-scale HPC systems within e-science infrastructures

Requirements and Design of a Collaborative Online Visualization and Steering Framework for Grid and e-Science Infrastructures

Web services interfaces and open standards integration into the European UNICORE 6 grid middleware

Open standards-based interoperability of job submission and management interfaces across the grid middleware platforms gLite and UNICORE

A DRMAA-based target system interface framework for UNICORE

GridBeans

Standardization Processes of the UNICORE Grid System

Unicore - From project results to production gridsAdvances in Parallel Computing

Web services agreement-based resource negotiation in UNICORE

Self-managing Functions in Web Services Agreement-based Autonomic Grids

Object Migration Pattern

Enhancing scientific workflows with secure shell functionality in UNICORE grids

Morris Riedel - Prófessor

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Verkfræði- og náttúruvísindasvið

Prófessor

Head of National Competence for HPC & AI

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