Esteban Egea-Lopez

Associate Professor

Universidad Politécnica de Cartagena

Spain

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Esteban Egea-Lopez is an Associate Professor at Universidad Politécnica de Cartagena, Spain. His research primarily focuses on diabetes management, vehicular networks, and electromagnetic field exposure mapping, as evidenced by his recent articles. He employs advanced techniques such as deep reinforcement learning and simulation frameworks to address challenges in healthcare and communication systems.

Articles (13)

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2025

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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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2021

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2021

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2021

Collaborators (9)

Pablo Pavon-Marino

Profesor Titular de Universidad (Associate Professor)

Universidad Politécnica de Cartagena

SPAIN

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benjamin allaert

Associate Professor

IMT Nord Europe

FRANCE

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Joe Wiart

head of chaire C2M

TELECOM ParisTech

FRANCE

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Jose Santa

SPAIN

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Angesom Ataklity TESFAY

Université Gustave Eiffel

FRANCE

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Laurent Clavier

Professor

IMT Nord Europe

FRANCE

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Joan Garcia-Haro

SPAIN

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Antonio Javier Garcia Sanchez

Full Professor

SPAIN

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Jose-Maria Molina-Garcia-Pardo

Universidad Politécnica de Cartagena

SPAIN

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Esteban Egea-Lopez

Research Interests

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About

Articles (13)

Adjacent Channel Interference and Congestion Control for Multi-Channel Operation in Vehicular Networks

Exploiting Personalized Observation Frequency for Proportional Integral Derivative-Based Diabetes Management

In-cabin and outdoor environmental monitoring in vehicular scenarios with distributed computing

Wireless Channel Characterization From 2 to 28 GHz in an Outdoor Parking Lot

Infinite Limits of Convolutional Neural Network for Urban Electromagnetic Field Exposure Reconstruction

A 3D simulation framework with ray-tracing propagation for LoRaWAN communication

Evaluation of Offline Reinforcement Learning for Blood Glucose Level Control in Type 1 Diabetes

Towards Outdoor Electromagnetic Field Exposure Mapping Generation Using Conditional GANs

Optimal Joint Power and Rate Adaptation for Awareness and Congestion Control in Vehicular Networks

Evaluation of blood glucose level control in type 1 diabetic patients using deep reinforcement learning

Opal: An open source ray-tracing propagation simulator for electromagnetic characterization

MDPRP: A Q-Learning Approach for the Joint Control of Beaconing Rate and Transmission Power in VANETs

Simultaneous Data Rate and Transmission Power Adaptation in V2V Communications: A Deep Reinforcement Learning Approach

Collaborators (9)

Pablo Pavon-Marino

benjamin allaert

Joe Wiart

Jose Santa

Angesom Ataklity TESFAY

Laurent Clavier

Joan Garcia-Haro

Antonio Javier Garcia Sanchez

Jose-Maria Molina-Garcia-Pardo

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