Formation
- 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
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
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Nasini S., Tchouya R. T., Dabo S., (2023). An estimation approach for the influential–imitator diffusion, Computers & Operations Research, 159 (2023) 106315.
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Benita F., Nasini S., Nessah R., (2022). A Cooperative Bargaining Framework for Decentralized Portfolio Optimization, Journal of Mathematical Economics, 103 (12) 102789.
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Nasini S., Labbé M., Brotcorne L., (2022). Multi-market Portfolio Optimization with Conditional Value at Risk, European Journal of Operational Research, 300 (1) 350-365.
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Nasini S., Nessah R., (2022). A multi-machine scheduling solution for homogeneous processing: Asymptotic approximation and applications, International Journal of Production Economics, 251 (2022) 108555.
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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.
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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.
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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.
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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.
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Nasini S., Lopez F., Sayed M., (2020). An integrated planning model in centralized power systems, European Journal of Operational Research, 287 (1) 361-377.
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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.
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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.
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Nasini S., Erdemlioglu D., (2019). Multiple channels of financial contagion: an empirical analysis of stock price dynamics, Finance, 40 (1) 87-134.
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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.
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Nasini S., Dehdarirad T., (2017). Research impact in co-authorship networks: a two-mode analysis, Journal of Informetrics, 11 (2) 371–388.
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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.
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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.
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Nasini S., Castro J., (2015). Mathematical programming approaches for classes of random network problems, European Journal of Operational Research, 245 (2) 402–414.
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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.
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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.
Enseignement
Grande Ecole (Bachelor cycle) :
- Introduction to optimization methods
Grande Ecole (Master cycle) :
- Intermediate econometrics
MSc in Big Data Analytics for Business :
MSc in Digital Marketing and CRM :
