Biography:
Álvaro López López is BSc and MSc in Electronics Engineering (2004, 2006) and PhD (2016) - Comillas Pontifical University (Madrid).
From 2006 to 2010 he was with CRISA (Airbus Defence and Space) in the Electronics Design Department.
During his PhD he researched in railway power supply system modelling, with focus on urban railway. He developed several approaches to represent the diversity in of metro systems’ traffic to make robust energy saving optimizations.
From 2016, he is a research fellow at the Institute for Research in Technology of Comillas-ICAI, and the research lead of the Smart Industry Chair of Comillas-ICAI.
His current research interests span across all dimensions of the digital transformation of industry, with focus on sample efficient deep reinforcement learning, artificial vision and synthetic data generation.
Areas of interest:
Industry 4.0, Machine Learning, IoT, Railway Power Systems, Railway System Simulation, Dynamic System Control.
Güitta-López, L., Boal, J., López López, A.J., Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent. Applied Intelligence. Vol. 53, nº. 12, pp. 14903 - 14917, June 2023. [Online: November 2022] 
JCR: 3,400 Q2 (2023); - SJR: 1,193 Q2 (2023);
JCR: 7,802 Q1 (2021); 7,500 Q1 (2023) - SJR: 1,734 Q1 (2021); 1,749 Q1 (2023) Roch Dupré, D., Camacho-Gómez, C., Cucala, A.P., Jiménez-Fernández, S., López López, A.J., Portilla-Figueras, A., Pecharromán, R.R., Fernández-Cardador, A., Salcedo-Sanz, S., Optimal location and sizing of energy storage systems in DC-electrified railway lines using a coral reefs optimization algorithm with substrate layers. Energies. Vol. 14, nº. 16, pp. 4753-1 - 4753-19, August 2021. [Online: August 2021]
JCR: 3,252 Q3 (2021); 3,000 Q3 (2023) - SJR: 0,653 Q1 (2021); 0,651 Q1 (2023) 
Roch Dupré, D., Gonsalves, T., Cucala, A.P., Pecharromán, R.R., López López, A.J., Fernández-Cardador, A., Determining the optimum installation of energy storage systems in railway electrical infrastructures by means of swarm and evolutionary optimization algorithms. International Journal of Electrical Power & Energy Systems. Vol. 124, pp. 106295-1 - 106295-15, January 2021. [Online: July 2020]
JCR: 5,659 Q1 (2021); 5,000 Q1 (2023) - SJR: 1,544 Q1 (2021); 1,711 Q1 (2023)
JCR: 4,630 Q1 (2020); 5,000 Q1 (2023) - SJR: 1,050 Q1 (2020); 1,711 Q1 (2023)
JCR: 4,418 Q1 (2018); 5,000 Q1 (2023) - SJR: Q1 (2018); 1,711 Q1 (2023)
JCR: 3,610 Q1 (2017); 5,000 Q1 (2023) - SJR: Q1 (2017); 1,711 Q1 (2023) López López, A.J., Pecharromán, R.R., Fernández-Cardador, A., Cucala, A.P., Improving the traffic model to be used in the optimisation of mass transit system electrical infrastructure. Energies. Vol. 10, nº. 8, pp. 1134-1 - 1134-18, August 2017. [Online: August 2017]
JCR: 2,676 Q3 (2017); 3,000 Q3 (2023) - SJR: Q1 (2017); 0,651 Q1 (2023)
JCR: 3,610 Q1 (2017); 5,000 Q1 (2023) - SJR: Q1 (2017); 1,711 Q1 (2023)
JCR: 1,537 Q3 (2016); 1,700 Q3 (2023) - SJR: Q1 (2016); 0,644 Q2 (2023)
JCR: 2,500 Q2 (2023) - SJR: Q4 (2014); 0,932 Q1 (2023)
JCR: 2,818 Q1 (2014); 7,600 Q1 (2023) - SJR: Q1 (2014); 2,860 Q1 (2023) 
