Ignacio Bravo

Full Professor

Universidad de Alcalá

Spain

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About

Ignacio Bravo is a Full Professor at Universidad de Alcalá, Spain. His research areas include visible light positioning systems, electronic circuit design for optical sensors, and the application of deep learning in human action recognition. Additionally, he explores demand response systems and remote laboratories in digital electronics and control systems, contributing to advancements in renewable energy integration and health monitoring technologies.

Articles (15)

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2025

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2020

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2020

Collaborators (8)

Losada Gutiérrez Cristina

Profesor Titular de Universidad

Universidad de Alcalá

SPAIN

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Esther Palomar

Birmingham City University

UNITED KINGDOM

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Associate Professor

Universidad de Alcalá

SPAIN

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Ignacio Bravo

Research Interests

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Articles (15)

Electronic Circuit for the Signal Conditioning of PSD Optical Sensors

Performance-driven visible light sensor for indoor georeferenced positioning

A new framework for deep learning video based Human Action Recognition on the edge

Vehicular Visible Light Positioning System Based on a PSD Detector

A Flexible Framework for the Deployment of STEM Real Remote Laboratories in Digital Electronics and Control Systems

Prosumers integration in aggregated demand response systems

Accuracy and Precision of Agents Orientation in an Indoor Positioning System Using Multiple Infrastructure Lighting Spotlights and a PSD Sensor

Dynamic Insulin Basal Needs Estimation and Parameters Adjustment in Type 1 Diabetes

Smart Video Surveillance System Based on Edge Computing

Weak Calibration of a Visible Light Positioning System Based on a Position-Sensitive Detector: Positioning Error Assessment

Behavioural patterns in aggregated demand response developments for communities targeting renewables

Accuracy and precision assessment of AOA-based indoor positioning systems using infrastructure lighting and a position-sensitive detector

A nonrecursive GR algorithm to extract road networks in high-resolution images from remote sensing

New Applications and Architectures Based on FPGA/SoC

Cooperative Demand Response Framework for a Smart Community Targeting Renewables: Testbed Implementation and Performance Evaluation

Collaborators (8)

Losada Gutiérrez Cristina

Esther Palomar

Mercedes Rigla

Carlos Andres Luna Vazquez

CARLOS CRUZ

De La Llana Calvo Álvaro

Alfredo Gardel

Marta Marrón-Romera

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