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
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 Management Science, Operations Research, INFORMS Journal on Computing and Discrete Applied Mathematics, and has received various distinctions.

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 has named her an Honorary SAS Fellow and member of the SAS Academic Advisory Board.

She is an Associate Editor of Omega and TOP.

In terms of funding, Dolores is the coordinator and scientific leader of the H2020 MSCA RISE NeEDS grant, Research and Innovation Staff Exchange Network of European Data Scientists, January 2019-December 2022.

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

Supply Chain Optimization

Data Mining

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 Combinatorial Optimisation in Data Analysis and Visualisation (PhD)

 

Supervision

Six PhD dissertations supervised, and two ongoing.

Publications sorted by:
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, 2018, p. 139-158
Journal article > peer review
Emilio Carrizosa; Vanesa Guerrero; Dolores Romero Morales / On Mathematical Optimization for the Visualization of Frequencies and Adjacencies as Rectangular Maps
In: European Journal of Operational Research, Vol. 265, No. 1, 2018, p. 290-302
Journal article > peer review
Laureano F. Escudero; Juan Francisco Monge; Dolores Romero Morales / On the Time-consistent Stochastic Dominance Risk Averse Measure for Tactical Supply Chain Planning under Uncertainty
In: Computers & Operations Research, Vol. 100, 12.2018, p. 270-286
Journal article > 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, 26.7.2018
Journal article > peer review
Emilio Carrizosa; Vanesa Guerrero; Dolores Romero Morales / Visualizing Data as Objects by DC (Difference of Convex) Optimization
In: Mathematical Programming, Vol. 169, No. 1, 5.2018, p. 119-140
Journal article > peer review
2017
Emilio Carrizosa; Amaya Nogales-Gómez; Dolores Romero Morales / Clustering Categories in Support Vector Machines
In: Omega, Vol. 66, No. Part A, 1.2017, p. 28-37
Journal article > peer review
Emilio Carrizosa; Vanesa Guerrero; Dolores Romero Morales / Visualizing Proportions and Dissimilarities by Space-filling Maps : A Large Neighborhood Search Approach.
In: Computers & Operations Research, Vol. 78, 2.2017, p. 369-380
Journal article > peer review
2016
Emilio Carrizosa; Vanesa Guerrero; Dolores Romero Morales / On Difference of Convex Optimization to Visualize Statistical Data and Dissimilarities
In: Proceedings of the XIII Global Optimization Workshop. GOW ’16. ed. /Ana Maria A. C. Rocha; M. Fernanda P. Costa; Edite M. G. P. Fernandes. Braga : University of Minho 2016, p. 89–92
Article in proceedings > peer review
Emilio Carrizosa; Amaya Nogales-Gómez; Dolores Romero Morales / Strongly Agree or Strongly Disagree? : Rating Features in Support Vector Machines.
In: Information Sciences, Vol. 329, 2.2016, p. 256–273
Journal article > peer review
2015
Emilio Carrizosa; Vanesa Guerrero; Dolores Romero Morales / A Multi-Objective Approach to Visualize Proportions and Similarities Between Individuals by Rectangular Maps
www : Mathematical Optimization Society 2015, 27 p. (Optimization Online, No. 5226)
Working paper > peer review
More results... (total 47 results)
Academic Interests

• Support Vector Machines

• Interpretability in Data Science

• Visualization of Complex Data

• Supply chains and their carbon footprint

• Uncertainty in supply chain planning

• Nonlinear Bid Prices

Research Projects