drmeco

Department of Economics

Dolores
Romero Morales
Professor
,
Professor of Operations Research, PhD in Operations Research, Erasmus University Rotterdam


Room: POR/16.A-2.79
Tel:
+4538153823
E-mail: drm.eco@cbs.dk
Dolores
Presentation

Dolores Romero Morales is a Professor in Operations Research at Copenhagen Business School. Her areas of expertise include Supply Chain Optimization, Data Mining and Revenue Management. In Supply Chain Optimization she works on environmental issues and robustness. In Data Mining she investigates interpretability and visualization. In Revenue Management she works on large-scale network models. Her work has appeared in a variety of leading scholarly journals, including European Journal of Operational Research, Management Science, Mathematical Programming and Operations Research, and has received various distinctions. Currently, she is Editor-in-Chief to TOP, the Operations Research journal of the Spanish Society of Statistics and Operations Research, and an Associate Editor of Omega.

She has worked with and advised various companies on these topics, including IBM, SAS, KLM and Radisson Edwardian Hotels, as a result of which these companies managed to improve some of their practices. SAS named her an Honorary SAS Fellow and member of the SAS Academic Advisory Board. She currently leads the EU H2020-MSCA-RISE NeEDS project, which has a total of 14 participants and a budget of more than €1.000.000 for intersectoral and international mobility, with the aim to improve the state of the art in Data Driven Decision Making.

Dolores joined Copenhagen Business School in 2014. Prior to coming to Copenhagen Business School, she was a Full Professor at University of Oxford (2003-2014) and an Assistant Professor at Maastricht University (2000-2003). She has a BSc and an MSc in Mathematics from Universidad de Sevilla and a PhD in Operations Research from Erasmus University Rotterdam.

Primary research areas

Data Science 

Supply Chain Optimization

Revenue Management

Curriculum Vitae
Social media
Link to this homepage
www.cbs.dk/en/staff/drmeco
Courses

Current teaching activities:

Analytics and Big Data (MBA)

Data Science: Data Driven Decision Making (MSc)

Dissertation supervision (MSc)

Mathematical Optimization: Models, Methods and Applications (MSc)

The Role of Mathematical Optimisation in Data Analysis and Visualisation (PhD)

 

Supervision

Six PhD dissertations supervised, and three ongoing.

Publications sorted by:
2021
Emilio Carrizosa; Cristina Molero del Rio; Dolores Romero Morales / Mathematical Optimization in Classification and Regression Trees
In: TOP, Vol. 29, No. 1, 4.2021, p. 5-33
Journal article > peer review
Emilio Carrizosa; Marcela Galvis Restrepo; Dolores Romero Morales / On Clustering Categories of Categorical Predictors in Generalized Linear Models
In: Expert Systems with Applications, 24.5.2021
Journal article > peer review
Sandra Benítez Peña; Emilio Carrizosa; Vanesa Guerrero; M. Dolores Jiménez-Gamero; Belén Martín-Barragán; Cristina Molero del Rio; Pepa Ramírez-Cobo; Dolores Romero Morales; M. Remedios Sillero-Denamiel / On Sparse Ensemble Methods : An Application to Short-term Predictions of the Evolution of COVID-19.
In: European Journal of Operational Research, 18.4.2021
Journal article > peer review
Rafael Blanquero; Emilio Carrizosa; Cristina Molero del Rio; Dolores Romero Morales / Optimal Randomized Classification Trees
In: Computers & Operations Research, Vol. 132, 8.2021
Journal article > peer review
2020
Emilio Carrizosa; Vanesa Guerrero; Dolores Romero Morales; Albert Satorra / Enhancing Interpretability in Factor Analysis by Means of Mathematical Optimization
In: Multivariate Behavioral Research, Vol. 55, No. 5, 9.2020, p. 748-762
Journal article > peer review
Sandra Benítez Peña; Peter Bogetoft; Dolores Romero Morales / Feature Selection in Data Envelopment Analysis : A Mathematical Optimization approach.
In: Omega: The International Journal of Management Science, Vol. 96, 10.2020
Journal article > peer review
Rafael Blanquero; Emilio Carrizosa; Cristina Molero-Río; Dolores Romero Morales / Sparsity in Optimal Randomized Classification Trees
In: European Journal of Operational Research, Vol. 284, No. 1, 7.2020, p. 255-272
Journal article > peer review
2019
Rafael Blanquero; Emilio Carrizosa; Cristina Molero-Río; Dolores Romero Morales / Optimal Randomized Decision Trees
In: Conference proceedings: 2nd Spanish Young Statisticians and Operational Researchers Meeting. Madrid : Universidad Complutense de Madrid * Servicio de Publicaciones 2019, 1 p., p. 53
Conference abstract in proceedings > peer review
Emilio Carrizosa; Vanesa Guerrero; Dolores Romero Morales / Visualization of Complex Dynamic Datasets by Means of Mathematical Optimization
In: Omega: The International Journal of Management Science, Vol. 86, 7.2019, p. 125-136
Journal article > peer review
2018
Emilio Carrizosa; Vanesa Guerrero; Daniel Hardt; Dolores Romero Morales / On Building Online Visualization Maps for News Data Streams by Means of Mathematical Optimization
In: Big Data, Vol. 6, No. 2, 6.2018, p. 139-158
Journal article > peer review
More results... (total 55 results)