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
Research directories and social medias
Curriculum Vitae
Primary research areas

Supply Chain Optimization

Data Mining

Revenue Management

Link to this homepage
www.cbs.dk/en/staff/drmeco
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 currently sits on the Editorial Review Board of Productions and Operations Management, is an Associate Editor of Omega and an Associate Editor of TOP.

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.

 

Courses

Current teaching activities:

Analytics and Big Data (MBA)

Business Analytics and Decision Making (MSc)

Combinatorial Optimization and the Design and Operation of Supply Chains (PhD)

Data Science: Data Driven Decision Making (MSc)

Dissertation supervision (MSc)

Mathematical Optimization: Models, Methods and Applications (MSc)

Supervision

Four PhD dissertations supervised, and two PhD dissertations currently under supervision

Publications & dissemination
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
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, 13.7.2017
Journal article
Emilio Carrizosa; Vanesa Guerrero; Dolores Romero Morales / Visualizing Data as Objects by DC (Difference of Convex) Optimization
In: Mathematical Programming, 28.4.2017
Journal article
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
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
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
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
Laureano F. Escudero; Juan Francisco Monge; Dolores Romero Morales / An SDP Approach for Multiperiod Mixed 0–1 Linear Programming Models with Stochastic Dominance Constraints for Risk Management
In: Computers & Operations Research, Vol. 58, 6.2015, p. 32-40
Journal article
Emilio Carrizosa; Vanesa Guerrero; Dolores Romero Morales / Visualizing Data as Objects by DC (Difference of Convex) Optimization
Madison, WI : Mathematical Optimization Society 2015, 19 p. (Optimization Online, No. 5227)
Working paper
2014
Emilio Carrizosa; Belén Martín-Barragán; Dolores Romero Morales / A Nested Heuristic for Parameter Tuning in Support Vector Machines
In: Computers & Operations Research, Vol. 43, 2014, p. 328–334
Journal article
More results... (total 44 results)
Academic Interests
• Supply chains and their carbon footprint • Uncertainty in supply chain planning • Support Vector Machines and interpretability • Visualization • Nonlinear bid prices for Network Revenue Management • Decomposition techniques for Network Revenue Management
Research Projects