María Zamarreño Suárez

Resrarcher and Assistant Professor

Universidad Politécnica de Madrid

Spain

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About

Dr. María Zamarreño Suárez is an Assistant Professor and researcher at Universidad Politécnica de Madrid, Spain. Her research areas encompass aviation safety and security, machine learning applications in air traffic management, and advancements in battery technologies for aviation. Recent publications include studies on enhancing security in airline ticket transactions and systematic approaches to AI certification standards in military aviation.

Articles (14)

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2025

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2024

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2023

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2023

Collaborators (3)

Francisco Pérez Moreno

Assistant Professor

Universidad Politécnica de Madrid

SPAIN

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ROSA MARIA ARNALDO VALDES

Universidad Politécnica de Madrid

SPAIN

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VICTOR FERNANDO GOMEZ COMENDADOR

Universidad Politécnica de Madrid

SPAIN

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María Zamarreño Suárez

Research Interests

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Articles (14)

Enhancing Security in Airline Ticket Transactions: A Comparative Study of SVM and LightGBM

Enhancing Safety in Military Aviation: A Systematic Approach to the Development of AI Certification Standards

Autonomous Route Planning for UAV-Based 3D Reconstruction

Battery Technologies for Use in Aviation: Classification, Temporal Evolution and Future Prospects

Prediction of air traffic complexity through a dynamic complexity indicator and machine learning models

Understanding the research on air traffic controller workload and its implications for safety: A science mapping-based analysis

Path Planning for Unmanned Aerial Vehicles in Complex Environments

How Has the Concept of Air Traffic Complexity Evolved? Review and Analysis of the State of the Art of Air Traffic Complexity

A step-by-step guide to include key electroencephalography (EEG) parameters in the study of human performance applied to air traffic control

An overview of the possibilities, current status, and limitations of battery technologies to electrify aviation

Analysis of patterns and trends in air traffic behaviour in different en-route atc sectors using a complexity indicator

Safety and Resilience Bayesian Belief Network (SR-BBN) for ATM

Battery Technologies to Electrify Aviation: Key Concepts, Technologies, and Figures

From Raw Data to Practical Application: EEG Parameters for Human Performance Studies in Air Traffic Control

Collaborators (3)

Francisco Pérez Moreno

ROSA MARIA ARNALDO VALDES

VICTOR FERNANDO GOMEZ COMENDADOR

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