Biography:
Álvaro López is a researcher at the IIT and a professor at ICAI, where he teaches dynamic systems, automatic control, electronics, and artificial intelligence, with a focus on reinforcement learning.
He is the principal investigator of the Smart Industry Chair, where he leads applied research on the use of digital technologies—generative AI, computer vision, LLM-based agents, synthetic data generation, and training environments for artificial agents—to improve industrial processes across various sectors.
He also directs executive programs on generative artificial intelligence for professionals at Comillas Onexed.
His work was recognized with an Honorable Mention by the Industry 4.0 Observatory in 2021.
Areas of interest:
Smart Industry, Artificial Intelligence, Reinforcement Learning, Generative AI, Representation Learning, Synthetic Data Generation, LLM-based Agent Systems
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-JIF: 3,400 Q2 (2023); - SJR: 1,193 Q2 (2023);
JCR-JIF: 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-JIF: 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-JIF: 5,659 Q1 (2021); 5,000 Q1 (2023) - SJR: 1,544 Q1 (2021); 1,711 Q1 (2023)
JCR-JIF: 4,630 Q1 (2020); 5,000 Q1 (2023) - SJR: 1,050 Q1 (2020); 1,711 Q1 (2023)
JCR-JIF: 4,418 Q1 (2018); 5,000 Q1 (2023) - SJR: Q1 (2018); 1,711 Q1 (2023)
JCR-JIF: 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-JIF: 2,676 Q3 (2017); 3,000 Q3 (2023) - SJR: Q1 (2017); 0,651 Q1 (2023)
JCR-JIF: 3,610 Q1 (2017); 5,000 Q1 (2023) - SJR: Q1 (2017); 1,711 Q1 (2023)
JCR-JIF: 1,537 Q3 (2016); 1,700 Q3 (2023) - SJR: Q1 (2016); 0,644 Q2 (2023)
JCR-JIF: 2,500 Q2 (2023) - SJR: Q4 (2014); 0,932 Q1 (2023)
JCR-JIF: 2,818 Q1 (2014); 7,600 Q1 (2023) - SJR: Q1 (2014); 2,860 Q1 (2023) 
