Rafael Arranz
Post-doctoral Researcher at CSIC
Madrid, Community of Madrid, Spain
Summary
👤
Senior🎓
Top SchoolRafael Arranz is a post-doctoral researcher in Madrid with a decade of experience exploring how collective behavior and emergent communication arise in swarm and evolutionary robotics. His PhD work, sharpened by a pivotal research stay at the Biorobotics department of the University of Southern Denmark, focuses on efficient and explainable communication protocols for robot swarms while also touching deep learning approaches for time series forecasting. Trained as a telecommunications engineer with advanced study in signal processing and machine learning, he blends theoretical rigor with hands-on experimentation and teaching experience at UPM and CUNEF. Colleagues know him for connecting biologically inspired models with practical computational paradigms, aiming to make autonomous multi-robot systems both interpretable and scalable.
10 years of coding experience
MSc in Telecommunication Engineering, MSc in Telecommunication Engineering at Universidad Politécnica de Madrid
Github Skills (5)
predict8
hvac6
consumption6
lstm5
machine-learning4
Programming languages (1)
Github contributions (5)
Robolabo/LSTM-HVAC
Jan 2020 - Apr 2021
LSTM to predict daily HVAC consumption in buildings
Contributions:5 commits, 2 PRs, 5 pushes in 1 year 2 months
hvaclstmmachine-learningpredictconsumption
r-sendra/calc
Apr 2016 - Feb 2018
Contributions:2 PRs, 3 pushes, 2 branches in 1 year 10 months
unacssjavascriptproyectohtml5
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