Professors

Bernardo PAGNONCELLI

Professor

Recherche opérationnel, Optimisation, Mesures de risque, Programation dynamique, Optimisation stocastique, Simulation

Download resume
Bernardo PAGNONCELLI

Academy

Digitalization

Research center

SKEMA Centre for Analytics and Management Science

Location

Lille

Discipline

Analytics Information & Operations
Education
2009
Ph.D. in Mathematics, Pontifical Catholic University of Rio de Janeiro, Brazil
2004
MSc in Applied Mathematics, Pontifical Catholic University of Rio de Janeiro, Brazil
2002
Bachelor of Science, Sciences, Mathematics, Pontifical Catholic University of Rio de Janeiro, Brazil
Experience
Full-time academic positions
Since 2024
Professor, SKEMA Business School, France
2021 - 2023
Associate Professor, SKEMA Business School, France
2015 - 2020
Associate Professor, Universidad Adolfo Ibanez, Chile
2009 - 2014
Assistant Professor, Universidad Adolfo Ibanez, Chile
Research grants, Awards and Honors
Awards and Honors
2022
Most Productive Scholar Award, SKEMA Business School, France
2021
Best Professor Award - MBA International Program, Universidad Adolfo Ibanez, Chile
2019
Best Researcher Award, Universidad Adolfo Ibanez
2018
Patrick and Amy McCarter Fellow in Residence at IEMS, Northwestern UniversityPatrick and Amy McCarter Fellow in Residence at IEMS, Northwestern University, Northwestern University, United States of America
2018
Best Professor Award in the MBA International Program, Universidad Adolfo Ibanez
2015
Best researcher award, Universidad Adolfo Ibanez, Chile
2015
Best Professor Award - MBA International Program, Universidad Adolfo Ibanez, Chile
2015
Reimagine Education Awards - category Presence Learning, GameLab, Chile
2007
Fellowship from a Brazilian Governmental Agency (CAPES) to spend 1 year as an exchange Ph.D. student at the ISYE Department at Georgia Tech,, CAPES - Brazilian Federal Agency for Support and Evaluation of Graduate Education, Brazil
2005
Fellowship at the Ph.D. program at the Department of Mathematics of PUC-Rio provided by FUNENSEG (private actuarial institution),, Pontifical Catholic University of Rio de Janeiro, Brazil
Research Grants
2025
Models and Methods for Stochastic Revelation in Sequential Decision-Making, PGMO, France
2025
Probing-enhanced stochastic programming approaches for industrial production planning under uncertain demandProbing-enhanced stochastic programming approaches for industrial production planning under uncertain demand, PGMO, France
2023
PGMO: Modeling risk aversion in multi-stage stochastic lot-sizing problemsModeling risk aversion in multi-stage stochastic lot-sizing problems, France
2023
PGMO: Strategic Bidding in Price Coupling Regions: risk and uncertainty, France
2021
Combining Prediction And Stochastic Optimization: New Methods In Prescriptive Analytics (NOT EXECUTED), ANID, Chile
2018
Production maximization of oil in off-shore platforms that use gas-lift, Petrobras, Brazil
2017
Optimization, Games and Renewable Energy, EDF, France
2017
Large scale optimization and uncertainty: Challenges in Strategic Mine Planning. An interdisciplinary approach (, ANID, France
2014
Centralized versus Decentralized Energy Management in a Stochastic Setting, EDF, France
2013
PGMO - Latin America Stochastic Optimization Network, EDF, France
2013
Multistage stochastic optimization applied to finance and mining, ANID, Chile
2012
PGMO - Latin America Stochastic Optimization Network,, EDF, France
2012
Models and Strategies for Multi-Stage Stochastic Programs with Risk Control, ANID, Chile
2011
Mathematical Modeling for Industrial and Management Sci- ence Applications: An Interdisciplinary Approach., ANID, Chile
Other research activities
Senior or Associate Editor
Since 2023
INFOR
PhD Supervision
Since 2022
D. JIMENEZ, SKEMA Business School, PhD thesis, Thesis director
Since 2022
M. WAGA, Pontifical Catholic University of Rio de Janeiro, PhD thesis, Thesis co-director
2024
T. GUTIÉRREZ, Pontifical Catholic University of Rio de Janeiro, PhD thesis, Thesis co-director
2022
C. VESSAIRE, PhD thesis, Thesis Reviewer
2021
P. LAMAS, Universidad Adolfo Ibanez, PhD thesis, Thesis director
2019
G. CANESSA, Universidad Adolfo Ibanez, PhD thesis, Thesis director
2018
S. ARPON, Universidad Adolfo Ibanez, PhD thesis, Thesis director

Peer-reviewed journal articles

KESLIN, G., NELSON, B., PAGNONCELLI, B., PLUMLEE, M. and RAHIMIAN, H. (2025). Ranking and Contextual Selection. Operations Research, 73(5), pp. 2695-2707.
DOWSON, O., MORTON, D. and PAGNONCELLI, B. (2025). Incorporating convex risk measures into multistage stochastic programming algorithms. Annals of Operations Research, 348, pp. 807–831.
PARAB, P., NTAIMO, L. and PAGNONCELLI, B. (2025). Stochastic Decomposition for Risk-Averse Two-Stage Stochastic Linear Programs. Journal of Global Optimization, 91, pp. 59-93.
KHATAMI, M., SILVA, T., PAGNONCELLI, B. and NTAIMO, L. (2024). Risk-Averse Multistage Stochastic Programs with Expected Conditional Risk Measures. Computers & Operations Research, 172(106802).
PAGNONCELLI, B., HOMEM-DE-MELLO, T., CASTAÑEDA, P., LAGOS, G. and GARCÍA, J. (2024). Solving constrained consumption-investment problems by decomposition algorithms. European Journal of Operational Research, 319(1), pp. 292-302.
LAMAS, P., GOYCOOLEA, M., PAGNONCELLI, B. and NEWMAN, A. (2024). A target-time-windows technique for project scheduling under uncertainty. European Journal of Operational Research, 314(2), pp. 792-806.
RAHIMIAN, H. and PAGNONCELLI, B. (2023). Data-Driven Approximation of Contextual Chance-Constrained Stochastic Programs. SIAM Journal on Optimization, 33(3), pp. 2248 - 2274.
PAGNONCELLI, B., REDROBAN, S. and CIFUENTES, A. (2023). A Useful (But Painful) Risk-Management Lesson from the Chilean Pension System. The Journal of Retirement, 11(1), pp. 74 - 83.
PAGNONCELLI, B., RAMÍREZ, D., RAHIMIAN, H. and CIFUENTES, A. (2023). A Synthetic Data-Plus-Features Driven Approach for Portfolio Optimization. Computational Economics, 62, pp. 187-204.
PIAZZA, A., PAGNONCELLI, B. and NTAIMO, L. (2022). What is the optimal cutoff surface for ore bodies with more than one mineral? Operations Research Letters, 50(2), pp. 137-144.
PAGNONCELLI, B., CANESSA, G. and MORENO, E. (2021). The risk-averse ultimate pit problem. Optimization and Engineering, 22, pp. 2655-2678.
NESBITT, P., BLAKE, L.R., LAMAS, P., GOYCOOLEA, M., PAGNONCELLI, B., NEWMAN, A. and BRICKEY, A. (2021). Underground mine scheduling under uncertainty. European Journal of Operational Research, 294(1), pp. 340-352.
ANDRÉ, R., GAMBOA, C., VALLADAO, D. and PAGNONCELLI, B. (2021). A Robust Short-Term Oil Production under a Bow-Tie Uncertainty Set for the Gas Lift Performance Curve. SPE Journal, pp. 1-13.
PAGNONCELLI, B., PATRICIO, L., MARCOS, A. and PIAZZA, A. (2021). Lane's Algorithm Revisited. Management Science, 67(5), pp. 2657-3320.
PAGNONCELLI, B., DEL CANTO, F. and CIFUENTES, A. (2021). The effect of regularization in portfolio selection problems. TOP- An Official Journal of the Spanish Society of Statistics and Operations Research, 29, pp. 156-176.
PAGNONCELLI, B., DUQUE, D. and MORTON, D. (2021). How good are default investment policies in defined contribution pension plans? Journal of Pension Economics and Finance, 20(2), pp. 252-272.
PAGNONCELLI, B. and CIFUENTES, A. (2020). Molecular biology and economics: a few funerals are needed. Journal of Portfolio Management, 46(7), pp. 5-7.
DOWSON, O., MORTON, D. and PAGNONCELLI, B. (2020). Partially observable multistage stochastic optimization. Operations Research Letters, 48(4), pp. 505-512.
ARPON, S., HOMEM-DE-MELLO, T. and PAGNONCELLI, B. (2020). An ADMM algorithm for two-stage stochastic programming problems. Annals of Operations Research, 286, pp. 559-582.
PAGNONCELLI, B., GAMBOA, C., SILVA, T. and VALLADAO, D. (2020). A stochastic optimization model for short-term production of offshore oil platforms with satellite wells using gas lift. TOP- An Official Journal of the Spanish Society of Statistics and Operations Research, 28, pp. 549-574.
DELGADO, F., TRINCADO, R. and PAGNONCELLI, B. (2019). A multistage stochastic programming model for the network air cargo allocation under capacity uncertainty. Transportation Research - Part E: Logistics and Transportation Review, 131, pp. 292-307.
REUS, L., PAGNONCELLI, B. and ARMSTRONG, M. (2019). Better management of production incidents in mining using multistage stochastic optimization. Resources Policy, 63, pp. 101404.
CANESSA, G., GALLEGO, J., NTAIMO, L. and PAGNONCELLI, B. (2019). An algorithm for binary linear chance-constrained problems using IIS. Computational Optimization and Applications, 72(3), pp. 589-608.
GUTIERREZ, T., PAGNONCELLI, B., VALLADAO, D. and CIFUENTES, A. (2019). Can asset allocation limits determine portfolio risk–return profiles in DC pension schemes? Insurance: Mathematics and Economics, 86, pp. 134-144.
LE CADRE, H., PAGNONCELLI, B., HOMEM-DE-MELLO, T. and BEAUDE, O. (2019). Designing coalition-based fair and stable pricing mechanisms under private information on consumers' reservation prices. European Journal of Operational Research, 272(1), pp. 270-291.
PAGNONCELLI, B., ARPON, S. and HOMEM-DE-MELLO, T. (2018). Scenario reduction for stochastic programs with Conditional Value-at-Risk. Mathematical Programming, 170, pp. 327-356.
PAGNONCELLI, B. and PIAZZA, A. (2017). The optimal harvesting problem under price uncertainty: the risk averse case. Annals of Operations Research, 258, pp. 479-502.
WADA, M., DELGADO, F. and PAGNONCELLI, B. (2017). A risk averse approach to the capacity allocation problem in the airline cargo industry. Journal of the Operational Research Society, 68(6), pp. 643-651.
PAGNONCELLI, B., CIFUENTES, A. and DENIS, G. (2017). A two-step hybrid investment strategy for pension funds. North American Journal of Economics and Finance, 42, pp. 574-583.
PAGNONCELLI, B., HAWAS, F. and CIFUENTES, A. (2016). Credit-Risk behavior of homogeneous portfolios: A Theoretical Result with Surprising Practical Implications. Journal of Structured Finance, 22(2), pp. 7-15.
BARRERA, J., HOMEM-DE-MELLO, T., MORENO, E., PAGNONCELLI, B. and CANESSA, G. (2016). Chance-constrained problems and rare events: an importance sampling approach. Mathematical Programming, 157(1), pp. 153-189.
HOMEM-DE-MELLO, T. and PAGNONCELLI, B. (2016). Risk aversion in multistage stochastic programming: a modeling and algorithmic perspective. European Journal of Operational Research, 249(1), pp. 188-199.
PIAZZA, A. and PAGNONCELLI, B. (2015). The stochastic Mitra–Wan forestry model: risk neutral and risk averse cases. Journal of Economics, 115(2), pp. 175-194.
PAGNONCELLI, B. and CIFUENTES, A. (2014). Credit risk assessment of fixed income portfolios using explicit expressions. Finance Research Letters, 11(3), pp. 224-230.
PIAZZA, A. and PAGNONCELLI, B. (2014). The optimal harvesting problem under price uncertainty. Annals of Operations Research, 217(1), pp. 425-445.
CIFUENTES, A. and PAGNONCELLI, B. (2014). Demystifying Credit Risk Derivatives and Securitization: Journal of Derivatives, 22(2), pp. 110-118.
PAGNONCELLI, B. (2012). Risk-Return Trade-off with the Scenario Approach in Practice: A Case Study in Portfolio Selection. Journal of Optimization Theory and Applications, 155(2), pp. 707-722.
PAGNONCELLI, B. (2012). A provisioning problem with stochastic payments. European Journal of Operational Research, 221(2), pp. 445-453.
PAGNONCELLI, B. (2009). Sample Average Approximation Method for Chance Constrained Programming: Theory and Applications. Journal of Optimization Theory and Applications, 142(2), pp. 399-416.
PAGNONCELLI, B., TOMEI, C. and DE AZEVEDO, A. (2008). Custos de transação em investimentos coletivos. Revista Brasileira de Economia, 63(4).
PAGNONCELLI, B., SCHNOOR, M.A.K., PALMEIRA, C.F.B. and CAYRES, R. (2008). Cournot equilibrium: modern techniques applied to an old problem. Journal of Interdisciplinary Mathematics, 11(5), pp. 601-616.
PAGNONCELLI, B., PALMEIRA, C.F.B. and LOPES, H. (2008). Coeficientes aleatórios de equações diferenciais ordinárias lineares. Revista Matemática Universitária, (45).