Morales Arsenal, Roberto

Quantitative Methods

PhD: Universidad de Alcalá

Office E7.4

BIO

Roberto Morales Arsenal became a Professor of the Quantitative Methods department at CUNEF in 2010. He began his academic career after receiving a doctoral scholarship (PhD in Mathematical Engineering, specializing in statistical sciences) in the Department of Statistics and Econometrics of the UC3M, where started as a Fellow and later became an Assistant Professor. He was also a Professor in the Master in Actuarial and Financial Sciences at Universidad de Alcalá and the Master in Political and Electoral Analysis at UC3M. Professor Morales earned a PhD in Econometrics with a Cum Laude distinction at Universidad de Alcalá and received the Complutense Award for one of the best academic records in the field of Social Sciences. In 2024, he was accredited as a European statistician by the European Federation of National Statistical Societies (FENStatS).

Education

Ph.D. in Econometrics, Universidad de Alcalá (2016)

M.S. in Computational-Statistical Information Processing, Universidad Complutense de Madrid and Universidad Politécnica de Madrid (2016); M.S. in Mathematical Engineering, Universidad Carlos III de Madrid (2007); M.S. in Applied Statistics, Spanish National Institute of Statistics (INE) and Universidad de Alcalá (2005); and M.S. in Economic Analysis and Financial Economy, Universidad Complutense de Madrid (2004)

B.S. in Applied Statistics, Universidad Complutense de Madrid (2010), and B.S. in Quantitative Economy, Universidad Complutense de Madrid (2003)

Publications in Scientific Journals

Pinar-Pérez, Jesús María; Pliego-Marugán, Alberto; Ruiz-Hernández, Diego; Morales-Arsenal, Roberto: "Floating Offshore Wind Farm Maintenance Assessment Policies for Vessels Assignment" in: Xu, J., Binti Ismail, N.A., Dabo-Niang, S., Ali Hassan, M.H., Hajiyev, A. (eds) The Eighteenth International Conference on Management Science and Engineering Management. ICMSEM 2024. Lecture Notes on Data Engineering and Communications Technologies, 215. Springer, Singapore, 2024.

Morales-Arsenal, Roberto; Zazpe-Quintana, María Pilar; Pinar-Pérez, Jesús María: “ Optimal Forecast Combination with Univariate Models for Natural Gas Prices in Spain”, in García Márquez, F.P.; Jamil, A.; Ramirez, I.S.; Eken, S.; Hameed, A.A. (eds): Computing, Internet of Things and Data Analytics , ICCIDA 2023, Studies in Computational Intelligence, 1145, Springer, Cham, 2024.

Pinar-Perez, Jesús María; Ruiz-Hernandez, Diego; Morales-Arsenal, Roberto; Pliego-Marugan, Alberto: “Joint Maintenance and Spare Machines Management Policies Assessment”, in García Márquez, Fausto Pedro; Segovia Ramírez, Isaac; Bernalte Sánchez, Pedro José; Muñoz del Río, Alba (eds): IoT and Data Science in Engineering Management, CIO 2022, Lecture Notes on Data Engineering and Communications Technologies, 160, Springer, Cham, 2023.

Morales-Arsenal, Roberto; Pinar-Pérez, Jesús María: “How to Design an Efficient Post-pandemic Online Exam in Management Science: A Bayesian Machine Learning Approach”, in Xu, Jiuping; Altiparmak, Fulya; Hassan, Mohamed Hag Ali; García Márquez, Fausto Pedro; Hajiyev, Asaf (eds): Proceedings of the Sixteenth International Conference on Management Science and Engineering Management, 2, Springer, 2022.

Morales Arsenal, Roberto; Pinar Pérez, Jesús: “A Hybrid Model of Learning Methodology Analyzed Through the Use of Machine Learning Techniques”, Internet of Things in Management Science and Operations Research:Implemented Studies, Springer, 2021.

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