Daniel Fuertes

Daniel Fuertes

PhD Student @ Universidad Politécnica de Madrid (UPM)

🔬 AI Researcher  |  👨‍🏫 PhD Student  |  🦾 Deep Reinforcement Learning

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👋 About Me

Daniel Fuertes received the Bachelor’s degree in Telecommunication Engineering and the Master’s degree in Signal Theory and Communications from the Universidad Politécnica de Madrid (UPM), Spain, in 2019 and 2020, respectively. Since 2020, he has been a researcher at the Grupo de Tratamiento de Imágenes (Image Processing Group), UPM, actively contributing to various collaborative research projects with industry partners.

His research interests lie in the fields of Artificial Intelligence, Deep Learning, Reinforcement Learning, Autonomous Navigation, Vehicle Routing Problems, Computer Vision, Machine Learning, and Signal Processing.

Summary:

• 📡 Telecommunications Engineer, specialized in audiovisual systems and signal processing.
• 📈 Master’s in Signal Theory and Communications, focused on Machine Learning for Big Data.
• 🎓 PhD Student at Grupo de Tratamiento de Imágenes (GTI).
• 🌍 International internship at Idiap Research Institute.
• ✈️ Several research projects with industry partners like Airbus Defence and Space.
• 🧠 AI Researcher in Transformer Networks, LLMs, Computer Vision, and Autonomous Navigation.

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🛠️ Skills & Tools

💻 Programming, Scripting & IDEs
🤖 Deep (Reinforcement) Learning
🗃️ DevOps & Tools
📊 Scientific Computing, ML & Visualization
🧪 Experiment Tracking
✍️ Documentation & Writing
💻 OS & Environment

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📚 Publications

NaviFormer: A Deep Reinforcement Learning Transformer-like Model to Holistically Solve the Navigation Problem

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025

📄 Paper 👾 Code

Multi-stage Planning for Multi-target Surveillance using Aircrafts Equipped with Synthetic Aperture Radars Aware of Target Visibility

IEEE International Conference on Automation Science and Engineering (CASE), 2025

📄 Paper

TOP-Former: A Multi-Agent Transformer Approach for the Team Orienteering Problem

IEEE Transactions on Intelligent Transportation Systems, 2025

📄 Paper 👾 Code

Enhanced Nighttime Vehicle Detection for On-Board Processing

IEEE Access, 2025

📄 Paper

Solving Routing Problems for Multiple Cooperative Unmanned Aerial Vehicles using Transformer Networks

Engineering Applications of Artificial Intelligence, 2023

📄 Paper 👾 Code

People Detection with Omnidirectional Cameras using a Spatial Grid of Deep Learning Foveatic Classifiers

Digital Signal Processing, 2022

📄 Paper 👾 Code

LogoMix: A Data Augmentation Technique for Object Detection Applied to Logo Recognition

IEEE International Conference on Consumer Electronics (ICCE), 2022

📄 Paper 👾 Code

Implementation of a logo detection system based on deep learning strategies for media impact analysis in social networks

Master in Signal Theory and Communications (UPM), 2020

📄 Thesis

Implementation of a vehicle detection system based on convolutional neural networks from traffic IP cameras

Bachelor’s Degree in Telecommunication Engineering (UPM), 2019

📄 Thesis

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🏆 Awards

• 🥇 CESEDEN First Prize – Defense Tech Research (Zarco del Valle), 2023.
• 🥈 CESEDEN Second Prize – Defense Tech Research (Zarco del Valle), 2022.
• 📺 RTVE Award – Best Academic Record in Audiovisual Systems (2019)