drmeco

Økonomisk Institut

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


Kontor: POR/16.A-2.79
Tel:
+4538153823
E-mail: drm.eco@cbs.dk
Præsentation

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, and is an Associate Editor of Omega, TOP and JOGO.

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.

Primære forskningsområder

Supply Chain Optimization

Data Mining

Revenue Management

Curriculum Vitae
Sociale medier
Link til denne hjemmeside
www.cbs.dk/staff/drmeco
Vejledning

Six PhD dissertations supervised

Andre undervisningsaktiviteter

Current teaching activities:

Analytics and Big Data (MBA)

Data Science: Data Driven Decision Making (MBA, MSc)

Dissertation supervision (MSc)

Mathematical Optimization: Models, Methods and Applications (MSc)

The Role of Combinatorial Optimisation in Data Analysis and Visualisation

 

 

Publikationer sorteret efter:
2018
Emilio Carrizosa; Vanesa Guerrero; Daniel Hardt; Dolores Romero Morales / On Building Online Visualization Maps for News Data Streams by Means of Mathematical Optimization
I: Big Data, Vol. 6, Nr. 2, 2018, s. 139-158
Tidsskriftartikel > peer review
Emilio Carrizosa; Vanesa Guerrero; Dolores Romero Morales / On Mathematical Optimization for the Visualization of Frequencies and Adjacencies as Rectangular Maps
I: European Journal of Operational Research, Vol. 265, Nr. 1, 2018, s. 290-302
Tidsskriftartikel > 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
I: Computers & Operations Research, Vol. 100, 12.2018, s. 270-286
Tidsskriftartikel > peer review
Emilio Carrizosa; Vanesa Guerrero; Dolores Romero Morales / Visualization of Complex Dynamic Datasets by Means of Mathematical Optimization
I: Omega: The International Journal of Management Science, 26.7.2018
Tidsskriftartikel > peer review
Emilio Carrizosa; Vanesa Guerrero; Dolores Romero Morales / Visualizing Data as Objects by DC (Difference of Convex) Optimization
I: Mathematical Programming, Vol. 169, Nr. 1, 5.2018, s. 119-140
Tidsskriftartikel > peer review
2017
Emilio Carrizosa; Amaya Nogales-Gómez; Dolores Romero Morales / Clustering Categories in Support Vector Machines
I: Omega, Vol. 66, Nr. Part A, 1.2017, s. 28-37
Tidsskriftartikel > peer review
Emilio Carrizosa; Vanesa Guerrero; Dolores Romero Morales / Visualizing Proportions and Dissimilarities by Space-filling Maps : A Large Neighborhood Search Approach.
I: Computers & Operations Research, Vol. 78, 2.2017, s. 369-380
Tidsskriftartikel > peer review
2016
Emilio Carrizosa; Vanesa Guerrero; Dolores Romero Morales / On Difference of Convex Optimization to Visualize Statistical Data and Dissimilarities
I: Proceedings of the XIII Global Optimization Workshop. GOW ’16. red. /Ana Maria A. C. Rocha; M. Fernanda P. Costa; Edite M. G. P. Fernandes. Braga : University of Minho 2016, s. 89–92
Konferencebidrag i proceedings > peer review
Emilio Carrizosa; Amaya Nogales-Gómez; Dolores Romero Morales / Strongly Agree or Strongly Disagree? : Rating Features in Support Vector Machines.
I: Information Sciences, Vol. 329, 2.2016, s. 256–273
Tidsskriftartikel > 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 s. (Optimization Online, Nr. 5226)
Working paper > peer review
Flere resultater ...(i alt 47 )
Faglige interesser

• 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

Forskningsprojekter