Daniel Cagigas-Muñiz

Full Time Researcher & Lecturer

Universidad de Sevilla

Spain

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About

Daniel Cagigas-Muñiz is a Full Time Researcher and Lecturer at the University of Seville, Spain. His research interests encompass parallelization strategies for high-performance simulations, sustainability assessment in building materials, and applications of artificial neural networks in robotics. Additionally, he explores methods for enhancing user experience in health applications and the conservation of heritage buildings through innovative methodologies.

Articles (15)

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2025

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2024

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2024

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2024

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2023

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2023

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2022

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2022

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2022

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2022

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2022

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2022

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2021

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2020

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2020

Collaborators (15)

Rocio Ortiz

Universidad Pablo de Olavide

SPAIN

Daniel Cagigas-Muñiz

Research Interests

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About

Articles (15)

Parallelization strategies for high-performance and energy-efficient epidemic spread simulations

A new approach for software-simulation of membrane systems using a multi-thread programming model

Application of Knowledge Discovery in Databases (KDD) to environmental, economic, and social indicators used in BIM workflow to support sustainable design

Supporting sustainability assessment of building element materials using a BIM-plug-in for multi-criteria decision-making

Preventive Conservation and Restoration Monitoring of Heritage Buildings Based on Fuzzy Logic

Artificial Neural Networks for inverse kinematics problem in articulated robots

ART-RISK 3.0 a fuzzy—based platform that combine GIS and expert assessments for conservation strategies in cultural heritage

Participant Observation to Apply an Empirical Method of Codesign with Children

Efficient simulation execution of cellular automata on GPU

MAREX: A general purpose hardware architecture for membrane computing

MAREX: A general purpose hardware architecture for membrane computing

Efficient Parallel Implementation of Cellular Automata and Stencil Computations in Current Processors

Usability and User Experience Study with Children for a Mobile Health App (Preprint)

Developing Efficient Discrete Simulations on Multicore and GPU Architectures

Developing Efficient Discrete Simulations on Multicore and GPU Architectures

Collaborators (15)

Rocio Ortiz

Daniel Cascado-Caballero

Pilar Ortiz

David Orellana-Martín

M. J. Romero-Ternero

Juan Manuel Macías Bernal

Carmen Llatas

María Del Carmen Romero Ternero

Rocío García Robles

Fernando Diaz-del-Rio

María Ángeles Garrido Vizuete

Agustín Riscos Núñez

Francisco Jiménez Morales

José Luis Guisado Lizar

María-José Chávez-de-Diego

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