A5086486434- Bioinformatics and Genomic Networks
- Gene Regulatory Network Analysis
- Mathematical Biology Tumor Growth
- Distributed and Parallel Computing Systems
- Traffic control and management
- Scientific Computing and Data Management
- Transportation Planning and Optimization
- Meteorological Phenomena and Simulations
- Evacuation and Crowd Dynamics
- IoT and Edge/Fog Computing
- Brain Tumor Detection and Classification
- Parallel Computing and Optimization Techniques
- Big Data and Business Intelligence
- Blockchain Technology Applications and Security
- Evolution and Genetic Dynamics
- IoT Networks and Protocols
- Advanced Data Storage Technologies
- Artificial Intelligence in Healthcare
- Advanced Computing and Algorithms
- Competitive and Knowledge Intelligence
- Age of Information Optimization
- Cloud Computing and Resource Management
Forschungszentrum Jülich
2022-2024
Universitat Autònoma de Barcelona
2017-2019
Universitat Politècnica de Catalunya
2016
The recent advances in cloud services technology are fueling a plethora of information innovation, including networking, storage, and computing. Today, various flavors have evolved IoT, computing, so-called fog concept referring to capabilities edge devices users' clients compute, store, exchange data among each other with the cloud. Although rapid pace this evolution was not easily foreseeable, today piece it facilitates enables deployment what we commonly refer as smart scenario, cities,...
The recent technological advances related to computing, storage, cloud, networking and the unstoppable deployment of end-user devices, are all coining so-called Internet Things (IoT). IoT embraces a wide set heterogeneous services in highly impacting societal sectors, such as Healthcare, Smart Transportation or Media delivery, them posing diverse requirements, including real time response, low latency, high capacity. In order properly address combined use Cloud Fog computing turns up an...
This paper deals with the cellular biological network analysis of tumor-growth model, consisting multiple spaces and time scales. In this paper, we present a model in graph simulation using ABM for tumor growth. particular, propose agent-based modeling system format growth scenario evolving analysis. To manage analysis, developed workflow that allows us to estimate complexity behavior principled manner. By developing Python, which has enabled run times (more than what is possible by...
The increasing application of network models to translate and analysis biological systems discusses the necessity novel methodological informatics insights for dealing with complexity. Today, using tools from graph theory simulate dynamical system understand behavior a such as tumor growth is unavoidable. Perhaps most significant level comes mining measures configuration data which allow us explore deeper in multi-scale multi-level models. This paper presents agent-based model allows mine...
Abstract The problem of evacuating crowded closed spaces, such as discotheques, public exhibition pavilions or concert houses, has become increasingly important and gained attention both from practitioners authorities. This kind can be modeled using Agent-Based Model techniques consequently simulated in order to study evacuation strategies. In this paper, we show the Fira Barcelona model implemented with Care HPS. As a main contribution: i) extend added new partitioning approaches other...
The potential power provided and possibilities presented by computation graphs has steered most of the available modeling techniques to re-implementing, utilization including complex nature System Biology (SB). To model dynamics cellular population, we need study a plethora scenarios ranging from cell differentiation tumor growth etcetera. Test verification in research means running multiple times with different or some cases identical parameters, see how interacts if outputs would change...
The compartmentalised (modular) design often found in multiphysics Earth system models allows for progressive offloading of compute-intensive kernels to accelerators. nature this process implies that some model components will run on accelerators, while other continue CPUs, leading the use heterogeneous HPC architectures. Furthermore, different hardware architectures (e.g. GPUs, quantum, neuromorphic)  within an can be grouped into modules, each tailored requirements a particular...
<p>Agent-based modeling is a powerful computational tool that can simulate complex behavior based on rules in both micro and macro scales. Defining the constant agent patterns uncertain since it depends many facts leading to complicated decision-making processes. Integrating machine learning, specifically into multiscale multi-agent model, could provide scientists with practical tools make decisions. It also allows him execute unlimited datasets large parametric ABM simulation HPC/...
<p>Agent-based modeling is a powerful computational tool that can simulate complex behavior based on rules in both micro and macro scales. Defining the constant agent patterns uncertain since it depends many facts leading to complicated decision-making processes. Integrating machine learning, specifically into multiscale multi-agent model, could provide scientists with practical tools make decisions. It also allows him execute unlimited datasets large parametric ABM simulation HPC/...
This paper deals with the cellular biological network analysis of tumor-growth model, consisting multiple spaces and time scales. In this paper, we present a model in graph simulation using ABM for tumor growth. particular, propose agent-based modeling system format growth scenario evolving analysis. To manage analysis, developed workflow that allows us to estimate complexity behavior principled manner. By developing Python, which has enabled run times (more than what is possible by...
&lt;p&gt;Multiphysics Earth system models are potentially good candidates for progressive porting of modules to run on accelerator hardware. Typically, these have an inherently modular design cope with the variety numerical formulations and computational implementations required range physical processes they represent. Progressively or submodels accelerators such as GPUs implies that must heterogeneous Foreseeably, exascale systems will make use hardware, therefore, exploring early...