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 Data Science, Supply Chain Optimization and Revenue Management. In Data Science she investigates explainability/interpretability, fairness and visualization matters. In Supply Chain Optimization she works on environmental issues and robustness. 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 Journal of the Operational Research Society, Omega and the INFORMS Journal on Data Science.

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 15 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
Links
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)

Introduction to Machine Learning for Economics (MSc)

Supervision

Eight PhD dissertations supervised, and two ongoing.

Publications sorted by:
2023
Emilio Carrizosa; Kseniia Kurishchenko; Alfredo Marín; Dolores Romero Morales / On Clustering and Interpreting with Rules by Means of Mathematical Optimization
In: Computers & Operations Research, Vol. 154, 6.2023
Journal article > peer review
Emilio Carrizosa; Vanesa Guerrero; Dolores Romero Morales / On Mathematical Optimization for Clustering Categories in Contingency Tables
In: Advances in Data Analysis and Classification, Vol. 17, No. 2, 6.2023, p. 407-429
Journal article > peer review
Rafael Blanquero; Emilio Carrizosa; Cristina Molero-Río; Dolores Romero Morales / On Optimal Regression Trees to Detect Critical Intervals for Multivariate Functional Data
In: Computers & Operations Research, Vol. 152, 4.2023
Journal article > peer review
2022
Emilio Carrizosa; Kseniia Kurishchenko; Alfredo Marín; Dolores Romero Morales / Interpreting Clusters via Prototype Optimization
In: Omega, Vol. 107, 2.2022
Journal article > peer review
Rafael Blanquero; Emilio Carrizosa; Cristina Molero-Río; Dolores Romero Morales / On Sparse Optimal Regression Trees
In: European Journal of Operational Research, Vol. 299 , No. 3, 6.2022, p. 1045-1054
Journal article > peer review
Emilio Carrizosa; Laust Hvas Mortensen; Dolores Romero Morales; M. Remedios Sillero-Denamiel / The Tree Based Linear Regression Model for Hierarchical Categorical Variables
In: Expert Systems with Applications, Vol. 203, 10.2022
Journal article > peer review
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, Vol. 182, 11.2021
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, Vol. 295, No. 2, 12.2021, p. 648-663
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
More results... (total 61 results)