Enseignant

Stefano NASINI

Stefano NASINI
Associate Professor
Ph.D. in Statistics and Operations Research - Polytechnic University of Catalonia
Filière : Quantitative Methods
Membre du LEM
Formation
  • 2015 : Ph.D. in Statistics and Operations Research, Polytechnic University of Catalonia, Spain
  • 2011 : Master, Science, Statistics, Polytechnic University of Catalonia, Spain
Expériences Professionnelles
Expérience académique :
  • 2014 - 2016, Post-doctoral Researcher, IESE Business School, Barcelona, Spain
  • 2014 - 2014, Visiting Researcher, University of Lisbon, Lisbon, Portugal
Articles publiés dans des revues à comité de lecture
  • Nasini S., Lopez F., Sayed M., (2020). An integrated planning model in centralized power systems, European Journal of Operational Research, Volume not assigned yet (Issue not assigned yet) Page not assigned yet.
  • Nasini S., Martinez-de-Albeniz V., (2020). Pairwise influences in dynamic choice: network-based model and application, Journal of Applied Statistics, Not assigned yet (Not assigned yet) Not assigned yet.
  • Nasini S., Martinez-de-Albeniz V., Planas Bahi A., (2020). Using Clickstream Data to Improve Flash Sales Effectiveness, Production and Operations Management, Not assigned yet (Not assigned yet) Not assigned yet.
Afficher tout
  • Nasini S., Erdemlioglu D., (2019). Multiple channels of financial contagion: an empirical analysis of stock price dynamics, Finance, 40 (1) 87-134.
  • Nasini S., Benita F., Lopez F., (2019). A Bi-level Programming Approach for Global Investment Strategies with Financial Intermediation, European Journal of Operational Research, 274 (1) 375-390.
  • Nasini S., Lopez-Ramos F., Guarnaschelli A. , (2019). Road Network Pricing and Design for Ordinary and Hazmat Vehicles: Integrated Model and Specialized Local Search, Computers & Operations Research, 109 (1) 170-187.
  • Castro J., Nasini S., Saldanha-Da-Gama F., (2017). A cutting-plane approach for large-scale capacitated multi-period facility location using a specialized interior-point method, Mathematical Programming, 163 (1) 411-444.
  • Nasini S., Dehdarirad T., (2017). Research impact in co-authorship networks: a two-mode analysis, Journal of Informetrics, 11 (2) 371–388.
  • Nasini S., Martinez-de-Albeniz V., Dehdarirad T. , (2017). Conditionally exponential random models for individual properties and network structures: Method and application, Social Networks, 48 (1) 202–212.
  • Nasini S., Castro J., (2017). On Geometrical Properties of Preconditioners in IPMs for Classes of Block-Angular Problems, SIAM Journal on Optimization, 27 (3) 1666-1693.
  • Nasini S., Castro J., (2015). Mathematical programming approaches for classes of random network problems, European Journal of Operational Research, 245 (2) 402–414.
  • Nasini S., Castro J., Fonseca P., (2015). A mathematical programming approach for different scenarios of bilateral bartering, SORT-Statistics and Operations Research Transactions, 39 (1) 85-108.
  • Dominguez P., Teberosky A., Nasini S., (2014). Language play and learning of written language, Journal for the Study of Education and Development, 36 (4) 501-515.
Domaines de Recherche
  • Optimization
  • Complex Networks
  • Statistical Inference
  • Microeconomics
Enseignement
Programme Grande Ecole :
  • Intermediate econometrics
  • Introduction to optimization methods
MSc in Big Data Analytics for Business :
  • Social network analysis
  • Optimization techniques
MSc in Digital Marketing and CRM :
  • Datamining
IÉSEG