Stefano NASINI

Stefano NASINI
Associate Professor
HDR, Economics and Mathematics Sciences, Quantitative Methods - University of Lille 3
Track: Quantitative Methods
LEM Member
Education
  • 2021 : HDR, Economics and Mathematics Sciences, Quantitative Methods, University of Lille 3, France
  • 2015 : Ph.D. in Statistics and Operations Research, Polytechnic University of Catalonia, Spain
  • 2011 : Master, Science, Statistics, Polytechnic University of Catalonia, Spain
Professional Experiences
Academic Experience
  • 2014 - 2016, Post-doctoral Researcher, IESE Business School, Barcelona, Spain
  • 2014 - 2014, Visiting Researcher, University of Lisbon, Lisbon, Portugal
Published Papers in Refereed Journals
  • Nasini S., Nessah R., (2021). An Almost Exact Solution to the Min Completion Time Variance in a Single Machine, European Journal of Operational Research, 294 (2) 427-441.
  • Castro J., Nasini S., (2021). A specialized interior-point algorithm for huge minimum convex cost flows in bipartite networks, European Journal of Operational Research, 290 (3) 857-869.
  • Martinez-de-Albeniz V., Planas Bahi A., Nasini S., (2020). Using Clickstream Data to Improve Flash Sales Effectiveness, Production and Operations Management, 29 (11) 2508-2531.
Show all
  • Nasini S., Lopez F., Sayed M., (2020). An integrated planning model in centralized power systems, European Journal of Operational Research, 287 (1) 361-377.
  • Nasini S., Martinez-de-Albeniz V., (2020). Pairwise influences in dynamic choice: network-based model and application, Journal of Applied Statistics, 48 (7) 1269-1302.
  • 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.
  • Nasini S., Dehdarirad T., (2017). Research impact in co-authorship networks: a two-mode analysis, Journal of Informetrics, 11 (2) 371–388.
  • 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., 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.
  • 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., 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.
  • Nasini S., Castro J., (2015). Mathematical programming approaches for classes of random network problems, European Journal of Operational Research, 245 (2) 402–414.
  • 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.
Research fields
  • Optimization
  • Complex Networks
  • Statistical Inference
  • Microeconomics
Teaching
Grande Ecole Program:
  • 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