Joaquín Ordieres-Meré

Full Professor

Universidad Politécnica de Madrid

Spain

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About

Joaquín Ordieres-Meré is a Full Professor at Universidad Politécnica de Madrid, Spain. His research encompasses various fields including quantum-enhanced signal processing, financial analytics using machine learning, and the application of reinforcement learning in prescriptive maintenance. He has authored several recent articles focusing on topics such as portfolio optimization, deep learning techniques in industrial applications, and socio-technical analyses in veterinary medicine.

Articles (17)

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2025

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2025

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2025

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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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2021

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2021

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2020

Collaborators (9)

Miguel GUTIERREZ

Universidad Politécnica de Madrid

SPAIN

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Antonio Bello García

Full Professor

University of Oviedo

SPAIN

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Angel Mena-Nieto

Professor

Universidad de Huelva

SPAIN

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Javier Villalba-Diez

Professor

Heilbronn University

GERMANY

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Cali Nuur

KTH Royal Institute of Technology

SWEDEN

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Mercedes Grijalvo

Professor

Universidad Politécnica de Madrid

SPAIN

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Emilio Marfil

Profesor Ayudante Doctor

Universidad Politécnica de Madrid

SPAIN

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Raúl G. Sanchis

Associate Professor in Economics

Universidad Politécnica de Madrid

SPAIN

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Antonio Jesús Sanchez Herguedas

Profesor Titular de Universidad

Universidad de Sevilla

SPAIN

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Joaquín Ordieres-Meré

Research Interests

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About

Articles (17)

Quantum-enhanced signal processing via VQE for improved biomechanical feedback control

Predicting stock price trends using language models to extract the sentiment from analyst reports: Evidence from IBEX 35-listed companies

A Data-Driven Monitoring System for a Prescriptive Maintenance Approach: Supporting Reinforcement Learning Strategies

Comparison of Deep Transfer Learning Against Contrastive Learning in Industrial Quality Applications for Heavily Unbalanced Data Scenarios When Data Augmentation Is Limited

Using autoencoders and deep transfer learning to determine the stellar parameters of 286 CARMENES M dwarfs

A Systematic Approach to Portfolio Optimization: A Comparative Study of Reinforcement Learning Agents, Market Signals, and Investment Horizons

Toward the industry 5.0 paradigm: Increasing value creation through the robust integration of humans and machines

The CARMENES search for exoplanets around M dwarfs

Socio-Technical Analysis of the Benefits and Barriers to Using a Digital Representation of the Global Horse Population in Equine Veterinary Medicine

Optimisation of Maintenance Policies Based on Right-Censored Failure Data Using a Semi-Markovian Approach

Metallicities in M dwarfs: Investigating different determination techniques

Quantum cyber-physical systems

Anticipating financial distress of high‐tech startups in the European Union: A machine learning approach for imbalanced samples

Inter-organisational collaboration and knowledge-work: a contingency framework and evidence from a megaproject in Spain

Improvement of Quantum Approximate Optimization Algorithm for Max–Cut Problems

Human–Machine Integration in Processes within Industry 4.0 Management

New Business Models from Prescriptive Maintenance Strategies Aligned with Sustainable Development Goals

Collaborators (9)

Miguel GUTIERREZ

Antonio Bello García

Angel Mena-Nieto

Javier Villalba-Diez

Cali Nuur

Mercedes Grijalvo

Emilio Marfil

Raúl G. Sanchis

Antonio Jesús Sanchez Herguedas

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