Biography:
Assistant Professor Eduardo C. Garrido Merchán studied at the Pontifical University of Comillas, where he graduated with an extraordinary prize in his class in Computer Engineering. Master in Artificial Intelligence from the Polytechnic University of Madrid with the José Cuena Award. Doctor Cum Laude in Computer and Telecommunications Engineering from the Machine Learning group of the Autonomous University of Madrid in his doctoral thesis on Bayesian Optimization.
Researches new methods and applications of Bayesian optimization and reinforcement learning. Recently, he also investigates a fair approach to AI and social networks to mitigate the oppression of this structure towards vulnerable groups and ethical methodologies for AI with the aim of making the algorithms and models of this field more inclusive and egalitarian.
In 2021, he began teaching at the Faculty of Economics and Business Sciences of the Universidad Pontificia Comillas, where he teaches courses in Machine Learning, Statistics and Quantitative Models. He supervises researchers interested in the intersection between AI, ethics and society, with the aim of generating AI agents and policies that contribute to a more just and equal society.
Areas of interest:
Connected industry: design of artificial agents using deep reinforcement learning
Social inclusion, vulnerability, aging and well-being
Connected industry: application of deep learning techniques to industrial processes
Ethical issues arising from technological management
Data analysis
F. Barrera-Jimenez, J.L. Arroyo-Barriguete, E.C. Garrido-Merchán, G. Grinda-Luna, "Invulnerability bias in perceptions of artificial intelligence's future impact on employment", Scientific Reports, Vol. 15, pp. 28698, 2025. [Online: August 2025] doi: 10.1038/s41598-025-14698-2
JCR-JIF: 4,900 Q1 (2025); - SJR: 0,893 Q1 (2025); J. Villacampa-Porta, M. Coronado‑Vaca, E.C. Garrido-Merchán, "Impact of EU non-financial reporting regulation on Spanish companies’ environmental disclosure: a cutting-edge natural language processing approach", Environmental Sciences Europe, Vol. 37, pp. 29, 2025. [Online: February 2025] doi: 10.1186/s12302-025-01067-z
JCR-JIF: 7,100 Q1 (2025); - SJR: 1,597 Q1 (2025); E.C. Garrido-Merchán, S. Mora-Figueroa, M. Coronado‑Vaca, "Multi-Objective Bayesian Optimization of Deep Reinforcement Learning for Environmental, Social, and Governance (ESG) Financial Portfolio Management", Intelligent Systems in Accounting, Finance and Management, Vol. 32, nº. 2, pp. e70008, June 2025. [Online: June 2025] doi: 10.1002/isaf.70008
JCR-JIF: 3,700 Q1 (2024) - SJR: 0,428 Q2 (2025); 0,428 Q2 (2025) E.C. Garrido-Merchán, S. Lumbreras, "Can computational intelligence model phenomenal consciousness?", Philosophies, Vol. 8, nº. 4, pp. 70, August 2023. [Online: July 2023] doi: 10.3390/philosophies8040070
JCR-JIF: 0,600 Q2 (2023); 0,700 Q2 (2024) - SJR: 0,263 Q2 (2023); 0,325 Q1 (2025) E.C. Garrido-Merchán, C. Puente, "GOFAI meets generative AI: Development of expert systems by means of large language models", Knowledge-Based Systems, Vol. 351, nº. Part A, pp. 116657, October 2026. [Online: July 2026] doi: 10.1016/j.knosys.2026.116657
JCR-JIF: 8,000 Q1 (2025) - SJR: 1,753 Q1 (2025) E.C. Garrido-Merchán, "Kalman-Annealing: Calibrated Uncertainty for Simulated Annealing via a Probabilistic-Numerics Filter, with an Application to Reinforcement-Learning Hyperparameter Tuning", Algorithms, Vol. 19, nº. 7, pp. 581, July 2026. [Online: July 2026] doi: 10.3390/a19070581
JCR-JIF: 2,600 Q2 (2025) - SJR: 0,570 Q2 (2025) 
E.C. Garrido-Merchán, C. González-Barthe, M. Coronado‑Vaca, "Fine-tuning ClimateBert transformer with ClimaText for the disclosure analysis of climate-related issues in corporates’ financial and non-financial reports", Neural Computing and Applications, Vol. 12, nº. 1, pp. 1 - 16, January 2026. [Online: January 2026] doi: 10.1007/s00521-025-11820-3
JCR-JIF: 4,500 Q2 (2023) - SJR: 1,067 Q1 (2025) J. Villacampa-Porta, M. Coronado‑Vaca, E.C. Garrido-Merchán, "Impact of EU non-financial reporting regulation on Spanish companies’ environmental disclosure: a cutting-edge natural language processing approach", Environmental Sciences Europe, Vol. 37, pp. 29, 2025. [Online: February 2025] doi: 10.1186/s12302-025-01067-z
JCR-JIF: 7,100 Q1 (2025); - SJR: 1,597 Q1 (2025); A. de-la-Rica-Escudero, E.C. Garrido-Merchán, M. Coronado‑Vaca, "Explainable post hoc portfolio management financial policy of a Deep Reinforcement Learning agent", PLoS One, Vol. 20, nº. 1, pp. e0315528, 2025. [Online: January 2025] doi: 10.1371/journal.pone.0315528
JCR-JIF: 2,800 Q2 (2025); - SJR: 0,726 Q1 (2025); F. Barrera-Jimenez, J.L. Arroyo-Barriguete, E.C. Garrido-Merchán, G. Grinda-Luna, "Invulnerability bias in perceptions of artificial intelligence's future impact on employment", Scientific Reports, Vol. 15, pp. 28698, 2025. [Online: August 2025] doi: 10.1038/s41598-025-14698-2
JCR-JIF: 4,900 Q1 (2025); - SJR: 0,893 Q1 (2025); E.C. Garrido-Merchán, S. Mora-Figueroa, M. Coronado‑Vaca, "Multi-Objective Bayesian Optimization of Deep Reinforcement Learning for Environmental, Social, and Governance (ESG) Financial Portfolio Management", Intelligent Systems in Accounting, Finance and Management, Vol. 32, nº. 2, pp. e70008, June 2025. [Online: June 2025] doi: 10.1002/isaf.70008
JCR-JIF: 3,700 Q1 (2024) - SJR: 0,428 Q2 (2025); 0,428 Q2 (2025) E.C. Garrido-Merchán, S. Lumbreras, "Can computational intelligence model phenomenal consciousness?", Philosophies, Vol. 8, nº. 4, pp. 70, August 2023. [Online: July 2023] doi: 10.3390/philosophies8040070
JCR-JIF: 0,600 Q2 (2023); 0,700 Q2 (2024) - SJR: 0,263 Q2 (2023); 0,325 Q1 (2025) 
