ORMA, cerchiamo di lasciare il segno.
Paolo Brandimarte
Professore Ordinario
Edoardo Fadda
Ricercatore
Alessia De Crescenzo
Dottoranda
Lorenzo Mazza
Dottorando
Hanno fatto parte...
Daniele Giovanni Gioia
Dottorando
Leonardo Kanashiro Felizardo
Dottorando
Duozhi Gao
Dottorando in Visita
Yin Shuai
Dottorando in Visita
Progetti
2025-2027
SUPERSONIC
SUPporting Ecological tRanSitiOn iN mId-haul logistiCs
2024-2025
Decision Support Systems
Sviluppo di Decision Support Systems
2023-2025
AIMS
Artificial Intelligence to Monitor our Seas
2023-2024
IDiR
INNOVAZIONE DIGITALE in RIDIX SPA - Fondimpresa Avviso 6/2022
2020-2021
Challenge@PoliTo
A.l. 4 fashion trends
2009
Algoritmi per Supply Chain
Allocazione delle scorte presso i punti vendita e centri di distribuzione
2006-2008
Filiera Ortofrutticola
Sicurezza alimentare e gestione della qualità nella fase del post-raccolta
2002-2004
Metodi Numerici
Valutazione di opzioni americane ad alta dimensionalità
2001-2003
Programmazione Stocastica
Applicazione a problemi di Master Production Scheduling con domanda incerta
1999-2001
Asset-liability Management
Metodi di programmazione stocastica: il caso dei fondi pensione privati
Pubblicazioni
| Autori | Anno | Titolo | Fonte |
|---|---|---|---|
| Amici G.; Brandimarte P.; Messeri F.; Semeraro P. | 2025 | Multivariate Lévy models: calibration and pricing | OR Spectrum |
| Battistotti M.; Brandimarte P.; Giancola F.; Mazzi N. | 2025 | Scheduling autonomous robots for an intralogistic application: A comparison of lookahead-based ADP strategies | Expert Systems with Applications |
| Stranieri F.; Fadda E.; Stella F. | 2024 | Combining deep reinforcement learning and multi-stage stochastic programming to address the supply chain inventory management problem | International Journal of Production Economics |
| Gao D.; Gong Y.; Li C.; Guo Y.; Fadda E.; Brandimarte P. | 2024 | Adaptive pseudospectral successive convex optimization for six-degree-of-freedom powered descent guidance | Aerospace Science and Technology |
| Gioia D.G.; Fadda E.; Brandimarte P. | 2024 | Rolling horizon policies for multi-stage stochastic assemble-to-order problems | International Journal of Production Research |
| Cerone V.; Fadda E.; Regruto D. | 2024 | A Kernel-Based Approach to Errors-in-Variables Identification of Stable Multivariable Linear Systems | IEEE Transactions on Automatic Control |
| Fadda E.; Corso E.D.; Brusco D.; Aelenei V.S.; Rares A.B. | 2024 | Math-based reinforcement learning for the adaptive budgeted influence maximization problem | Networks |
| Cuzzocrea A.; Baldo A.; Fadda E. | 2024 | A bayesian-neural-networks framework for scaling posterior distributions over different-curation datasets | Journal of Intelligent Information Systems |
| Fadda E.; Gioia D.G.; Brandimarte P.; Maggioni F. | 2024 | Joint Discount and Replenishment Parametric Policies for Perishable Products | IFAC-PapersOnLine |
| Brandimarte P.; Fadda E. | 2024 | A reduced variable neighborhood search for the just in time job shop scheduling problem with sequence dependent setup times | Computers and Operations Research |
| Bruni M.E.; Fadda E.; Fedorov S.; Perboli G. | 2024 | Districting in last-mile delivery with stochastic customers | International Transactions in Operational Research |
| Cuzzocrea A.; Fadda E. | 2024 | Modeling and supporting adaptive Complex Data-Intensive Web Systems via XML and the O-O paradigm: The OO-XAHM model | Array |
| Fadda E.; Manerba D.; Tadei R. | 2024 | How to locate services optimizing redundancy: A comparative analysis of K-Covering Facility Location models | Socio-Economic Planning Sciences |
| Bierlaire M.; Fadda E.; Tiotsop L.F.; Manerba D. | 2024 | Workforce Allocation for Social Engagement Services via Stochastic Optimization | Studies in Computational Intelligence |
| Felizardo L.K.; Fadda E.; Del-Moral-Hernandez E.; Brandimarte P. | 2024 | Reinforcement learning approaches for the stochastic discrete lot-sizing problem on parallel machines | Expert Systems with Applications |
| Brandimarte P.; Craparotta G.; Marocco E. | 2024 | Inventory reallocation in a fashion retail network: A matheuristic approach | European Journal of Operational Research |
| Fadda E.; Gioia D.G.; Brandimarte P. | 2023 | Risk-averse Approaches for a Two-Stage Assembly-to-Order Problem | AIRO Springer Series |
| Bruni M.E.; Fadda E.; Fedorov S.; Perboli G. | 2023 | A machine learning optimization approach for last-mile delivery and third-party logistics | Computers and Operations Research |
| Baldo A.; Boffa M.; Cascioli L.; Fadda E.; Lanza C.; Ravera A. | 2023 | The polynomial robust knapsack problem | European Journal of Operational Research |
| Gioia D.G.; Felizardo L.K.; Brandimarte P. | 2023 | Simulation-based inventory management of perishable products via linear discrete choice models | Computers and Operations Research |
| Pasta E.; Carapellese F.; Faedo N.; Brandimarte P. | 2023 | Data-driven control of wave energy systems using random forests and deep neural networks | Applied Ocean Research |
| Fadda E.; Perboli G.; Rosano M.; Mascolo J.E.; Masera D. | 2022 | A Decision Support System for Supporting Strategic Production Allocation in the Automotive Industry | Sustainability (Switzerland) |
| Cuzzocrea A.; Fadda E. | 2022 | Virus Spread Modeling and Simulation: A Behavioral Parameters Approach and Its Application to Covid-19 | International Conference on Enterprise Information Systems, ICEIS - Proceedings |
| Cuzzocrea A.; Fadda E.; Leonardi E. | 2022 | Effective and Efficient Heuristic Approaches for Solving the Capacitated P-Median Clustering Problem | ACM International Conference Proceeding Series |
| Fadda E.; He J.; Tessone C.J.; Barucca P. | 2022 | Consensus formation on heterogeneous networks | EPJ Data Science |
| Li Y.; Fadda E.; Manerba D.; Roohnavazfar M.; Tadei R.; Terzo O. | 2022 | Online Single-Machine Scheduling via Reinforcement Learning | Studies in Computational Intelligence |
| Cuzzocrea A.; Fadda E.; Mumolo E. | 2022 | Cyber-attack detection via non-linear prediction of IP addresses: an innovative big data analytics approach | Multimedia Tools and Applications |
| Bierlaire M.; Fadda E.; Tiotsop L.F.; Manerba D. | 2022 | A chance-constraint approach for optimizing Social Engagement-based services | Proceedings of the 17th Conference on Computer Science and Intelligence Systems, FedCSIS 2022 |
| Baldo A.; Cuzzocrea A.; Fadda E. | 2022 | Towards a Bayesian-Neural-Networks Framework for Scaling Posterior Distributions over Different-Curation Datasets | ACM International Conference Proceeding Series |
| Gioda I.; Caputo D.; Fadda E.; Manerba D.; Fernández B.S.; Tadei R. | 2022 | Optimal Seating Assignment in the COVID-19 Era via Quantum Computing | Studies in Computational Intelligence |
| Cuzzocrea A.; Soufargi S.; Baldo A.; Fadda E. | 2022 | Scaling Posterior Distributions over Differently-Curated Datasets: A Bayesian-Neural-Networks Methodology | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Felizardo L.K.; Lima Paiva F.C.; de Vita Graves C.; Matsumoto E.Y.; Costa A.H.R.; Del-Moral-Hernandez E.; Brandimarte P. | 2022 | Outperforming algorithmic trading reinforcement learning systems: A supervised approach to the cryptocurrency market | Expert Systems with Applications |
| Gioia D.G.; Felizardo L.K.; Brandimarte P. | 2022 | Inventory management of vertically differentiated perishable products with stock-out based substitution | IFAC-PapersOnLine |
| Gioia D.G.; Pasta E.; Brandimarte P.; Mattiazzo G. | 2022 | Data-driven control of a Pendulum Wave Energy Converter: A Gaussian Process Regression approach | Ocean Engineering |
| Brandimarte P.; Fadda E.; Gennaro A. | 2021 | The Value of the Stochastic Solution in a Two-Stage Assembly-to-Order Problem | AIRO Springer Series |
| Gioda I.; Caputo D.; Fadda E.; Manerba D.; Silva Fernandez B.; Tadei R. | 2021 | Solving assignment problems via Quantum Computing: A case-study in train seating arrangement | Proceedings of the 16th Conference on Computer Science and Intelligence Systems, FedCSIS 2021 |
| Fadda E.; Fedorov S.; Perboli G.; Barbosa I.D.C. | 2021 | Mixing machine learning and optimization for the tactical capacity planning in last-mile delivery | Proceedings - 2021 IEEE 45th Annual Computers, Software, and Applications Conference, COMPSAC 2021 |
| Cuzzocrea A.; Leung C.K.; Olawoyin A.M.; Fadda E. | 2021 | Supporting Privacy-Preserving Big Data Analytics on Temporal Open Big Data | Procedia Computer Science |
| Fadda E.; Tiotsop L.F.; Manerba D.; Tadei R. | 2021 | Optimization problems under uncertainty in smart cities | Handbook of Smart Cities |
| Cuzzocrea A.; Fadda E.; Baldo A. | 2021 | Lyapunov Central Limit Theorem: Theoretical Properties and Applications in Big-Data-Populated Smart City Settings | ACM International Conference Proceeding Series |
| Cuzzocrea A.; Mumolo E.; Fadda E.; Soufargi S.; Leung C.K. | 2021 | Non-linear analytic prediction of IP addresses for supporting cyber attack detection and analysis | CEUR Workshop Proceedings |
| Baldo A.; Cuzzocrea A.; Fadda E.; Bringas P.G. | 2021 | Financial Forecasting via Deep-Learning and Machine-Learning Tools over Two-Dimensional Objects Transformed from Time Series | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Cuzzocrea A.; Damiani E.; Al-Ali H.; Mizouni R.; Tello G.; Fadda E. | 2021 | From low-level-event-logs to high-level-business-process-model-activities: An advanced framework based on machine learning and flexible BPMN model translation | CEUR Workshop Proceedings |
| Fadda E.; Plebani P.; Vitali M. | 2021 | Monitoring-Aware Optimal Deployment for Applications Based on Microservices | IEEE Transactions on Services Computing |
| Fadda E.; Manerba D.; Cabodi G.; Camurati P.E.; Tadei R. | 2021 | Comparative analysis of models and performance indicators for optimal service facility location | Transportation Research Part E: Logistics and Transportation Review |
| Cuzzocrea A.; Fadda E. | 2021 | Adaptive Complex Data-Intensive Web Systems via Object-oriented Paradigms: A Real-life Case Study | International Conference on Enterprise Information Systems, ICEIS - Proceedings |
| Fadda E.; Manerba D.; Cabodi G.; Camurati P.; Tadei R. | 2021 | Evaluation of Optimal Charging Station Location for Electric Vehicles: An Italian Case-Study | Studies in Computational Intelligence |
| Pasta E.; Carapellese F.; Brandimarte P.; Parrinello L.; Mattiazzo G. | 2021 | A model-free control strategy based on artificial neural networks for PEWEC | Proceedings of the European Wave and Tidal Energy Conference |
| Brandimarte P. | 2021 | From Shortest Paths to Reinforcement Learning: A MATLAB-Based Tutorial on Dynamic Programming | EURO Advanced Tutorials on Operational Research |
| Cuzzocrea A.; Leung C.K.; Wodi B.H.; Sourav S.; Fadda E. | 2020 | An effective and efficient technique for supporting privacy-preserving keyword-based search over encrypted data in clouds | Procedia Computer Science |
| Castrogiovanni P.; Fadda E.; Perboli G.; Rizzo A. | 2020 | Smartphone Data Classification Technique for Detecting the Usage of Public or Private Transportation Modes | IEEE Access |
| Cuzzocrea A.; Mumolo E.; Fadda E.; Tessarotto M. | 2020 | A Novel Big Data Analytics Approach for Supporting Cyber Attack Detection via Non-linear Analytic Prediction of IP Addresses | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Cuzzocrea A.; Pilato G.; Fadda E. | 2020 | User Emotion Detection via Taxonomy Management: An Innovative System | CEUR Workshop Proceedings |
| Fadda E.; Tiotsop L.F.; Manerba D.; Tadei R. | 2020 | The stochastic multipath traveling salesman problem with dependent random travel costs | Transportation Science |
| Li Y.; Fadda E.; Manerba D.; Tadei R.; Terzo O. | 2020 | Reinforcement Learning Algorithms for Online Single-Machine Scheduling | Proceedings of the 2020 Federated Conference on Computer Science and Information Systems, FedCSIS 2020 |
| Li Y.; Carabelli S.; Fadda E.; Manerba D.; Tadei R.; Terzo O. | 2020 | Machine learning and optimization for production rescheduling in Industry 4.0 | International Journal of Advanced Manufacturing Technology |
| Cuzzocrea A.; Leung C.K.; Deng D.; Mai J.J.; Jiang F.; Fadda E. | 2020 | A combined deep-learning and transfer-learning approach for supporting social influence prediction | Procedia Computer Science |
| Cuzzocrea A.; Fadda E. | 2020 | Data-Intensive Object-Oriented Adaptive Web Systems: Implementing and Experimenting the OO-XAHM Framework | Proceedings of the 12th International Conference on Management of Digital EcoSystems, MEDES 2020 |
| Cuzzocrea A.; Mumolo E.; Fadda E.; Tessarotto M. | 2020 | Supporting cyber attack detection via non-linear analytic prediction of IP addresses: A big data analytics technique | DMSVIVA 2020 - Proceedings of the 26th International DMS Conference on Visualization and Visual Languages |
| Cuzzocrea A.; De Maio V.; Fadda E. | 2020 | Experimenting and Assessing a Distributed Privacy-Preserving OLAP over Big Data Framework: Principles, Practice, and Experiences | Proceedings - 2020 IEEE 44th Annual Computers, Software, and Applications Conference, COMPSAC 2020 |
| Fadda E.; Manerba D.; Cabodi G.; Camurati P.; Tadei R. | 2019 | KPIs for optimal location of charging stations for electric vehicles: The biella case-study | Proceedings of the 2019 Federated Conference on Computer Science and Information Systems, FedCSIS 2019 |
| Cuzzocrea A.; Gaber M.M.; Fadda E.; Grasso G.M. | 2019 | An innovative framework for supporting big atmospheric data analytics via clustering-based spatio-temporal analysis | Journal of Ambient Intelligence and Humanized Computing |
| Fadda E.; Perboli G.; Tadei R. | 2019 | An Algorithm for the Optimal Waste Collection in Urban Areas | AIRO Springer Series |
| Fadda E.; Perboli G.; Tadei R. | 2019 | A progressive hedging method for the optimization of social engagement and opportunistic IoT problems | European Journal of Operational Research |
| Berruto R.; Brandimarte P.; Busato P. | 2019 | Learning Inventory Control Rules for Perishable Items by Simulation-Based Optimization | AIRO Springer Series |
| Fadda E.; Gobbato L.; Perboli G.; Rosano M.; Tadei R. | 2018 | Waste collection in urban areas: A case study | Interfaces |
| Fadda E.; Perboli G.; Tadei R. | 2018 | Customized multi-period stochastic assignment problem for social engagement and opportunistic IoT | Computers and Operations Research |
| Fadda E.; Perboli G.; Vallesio V.; Mana D. | 2018 | Sustainable mobility and user preferences by crowdsourcing data: The Open Agora project | IEEE International Conference on Automation Science and Engineering |
| Perboli G.; Tadei R.; Fadda E. | 2018 | New Valid Inequalities for the Two-Echelon Capacitated Vehicle Routing Problem | Electronic Notes in Discrete Mathematics |
| Cerone V.; Regruto D.; Abuabiah M.; Fadda E. | 2018 | A kernel-based nonparametric approach to direct data-driven control of LTI systems | |
| Brandimarte P. | 2018 | An Introduction to Financial Markets: A Quantitative Approach | An Introduction to Financial Markets: A Quantitative Approach |
| Cerone V.; Fadda E.; Regruto D. | 2017 | Inner approximation of parameter uncertainty intervals in bounded error identification | 2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017 |
| Fadda E.; Mana D.; Perboli G.; Tadei R. | 2017 | Multi Period Assignment Problem for Social Engagement and Opportunistic IoT | Proceedings - International Computer Software and Applications Conference |
| Fadda E.; Perboli G.; Squillero G. | 2017 | Adaptive batteries exploiting on-line steady-state evolution strategy | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Cerone V.; Fadda E.; Regruto D. | 2017 | A robust optimization approach to kernel-based nonparametric error-in-variables identification in the presence of bounded noise | Proceedings of the American Control Conference |
| Consigli G.; Kuhn D.; Brandimarte P. | 2017 | Optimal financial decision making under uncertainty | International Series in Operations Research and Management Science |
| Tadei R.; Fadda E.; Gobbato L.; Perboli G.; Rosano M. | 2016 | An ICT-based reference model for e-grocery in smart cities | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Fadda E.; Plebani P.; Vitali M. | 2016 | Optimizing monitorability of multi-cloud applications | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Consigli G.; Brandimarte P.; Kuhn D. | 2015 | Financial Optimization: optimization paradigms and financial planning under uncertainty | OR Spectrum |
| Brandimarte P. | 2014 | Handbook in Monte Carlo Simulation: Applications in Financial Engineering, Risk Management, and Economics | Handbook in Monte Carlo Simulation: Applications in Financial Engineering, Risk Management, and Economics |
| Brandimarte P. | 2013 | Scheduling satellite launch missions: An MILP approach | Journal of Scheduling |
| Brandimarte P. | 2011 | Numerical analysis | Wiley Interdisciplinary Reviews: Computational Statistics |
| Monge F.; Brandimarte P. | 2011 | Mice tourism in piedmont: Economic perspective and quantitative analysis of customer satisfaction | Tourismos |
| Brandimarte P. | 2011 | Quantitative Methods: An Introduction for Business Management | Quantitative Methods: An Introduction for Business Management |
| Busato P.; Berruto R.; Brandimarte P.; Chino M. | 2008 | Integrating simulation and optimization for inventory control of perishable items | Acta Horticulturae |
| Alfieri A.; Bianco A.; Brandimarte P.; Chiasserini C.F. | 2007 | Maximizing system lifetime in wireless sensor networks | European Journal of Operational Research |
| Brandimarte P.; Zotteri G. | 2007 | Introduction to Distribution Logistics | Introduction to Distribution Logistics |
| Brandimarte P. | 2006 | Multi-item capacitated lot-sizing with demand uncertainty | International Journal of Production Research |
| Brandimarte P. | 2006 | Numerical Methods in Finance and Economics: A MATLAB-Based Introduction: Second Edition | Numerical Methods in Finance and Economics: A MATLAB-Based Introduction: Second Edition |
| Alfieri A.; Brandimarte P. | 2005 | Stochastic programming models for manufacturing applications: A tutorial introduction | Design of Advanced Manufacturing Systems: Models for Capacity Planning in Advanced Manufacturing Systems |
| Alfieri A.; Bianco A.; Brandimarte P.; Chiasserini C.-F. | 2004 | Exploiting sensor spatial redundancy to improve network lifetime | GLOBECOM - IEEE Global Telecommunications Conference |
| Alfieri A.; Brandimarte P.; D'Orazio S. | 2002 | LP-based heuristics for the capacitated lot-sizing problem: The interaction of model formulation and solution algorithm | International Journal of Production Research |
| Brandimarte P.; Rigodanza M.; Roero L. | 2000 | Conceptual modeling of an object-oriented scheduling architecture based on the shifting bottleneck procedure | IIE Transactions (Institute of Industrial Engineers) |
| Brandimarte P.; Levi R. | 1999 | Object-oriented design of a modular scheduling architecture | CIRP Annals - Manufacturing Technology |
| Brandimarte P. | 1999 | Exploiting process plan flexibility in production scheduling: A multi-objective approach | European Journal of Operational Research |
| Brandimarte P.; Maiocco M. | 1999 | Job shop scheduling with a non-regular objective: A comparison of neighbourhood structures based on a sequencing/timing decomposition | International Journal of Production Research |
| Brandimarte P.; Alfieri A. | 1998 | LP-based heuristics for the capacitated lot sizing problem | CIRP Annals - Manufacturing Technology |
| Alfieri A.; Brandimarte P. | 1997 | Object-oriented modeling and simulation of integrated production/ distribution systems | Computer Integrated Manufacturing Systems |
| Alfieri A.; Brandimarte P. | 1997 | Job shop scheduling with delay-renewable resources: A comparison of decomposition strategies | International Journal of Production Research |
| Agnetis A.; Alfieri A.; Brandimarte P.; Prinsecchi P. | 1997 | Joint job/tool scheduling in a flexible manufacturing cell with no on-board tool magazine | Computer Integrated Manufacturing Systems |
| Brandimarte P.; Sharifnia A.; Von Turkovich B.F. | 1996 | Continuous Flow Models of Manufacturing Systems: a Review | CIRP Annals - Manufacturing Technology |
| Brandimarte P.; Franceschini F. | 1996 | Optimization issues in the calibration of a multicomponent robotic dynamometer | Journal of Manufacturing Systems |
| Brandimarte P.; Calderini M. | 1995 | A hierarchical bicriterion approach to integrated process plan selection and job shop scheduling | International Journal of Production Research |
| Brandimarte P.; Villa A.; Ukovich W. | 1995 | Continuous flow models for batch manufacturing: A basis for a hierarchical approach | International Journal of Production Research |
| Brandimarte P.; Cantamessa M. | 1995 | Methodologies for designing CIM systems: A critique | Computers in Industry |
| Brandimarte P. | 1993 | Routing and scheduling in a flexible job shop by tabu search | Annals of Operations Research |
| Brandimarte P. | 1992 | Neighbourhood search-based optimization algorithms for production scheduling: a survey | Computer Integrated Manufacturing Systems |
| Brandimarte Paolo; Lombardi Franco; Villa Agostino | 1992 | Issues in tool management for flexible manufacturing systems | |
| Brandimarte P.; Ukovich W.; Villa A. | 1992 | Factory level aggregate scheduling: A basis for a hierarchical approach | Proceedings of the 3rd International Conference on Computer Integrated Manufacturing |
| Bona B.; Brandimarte P.; Greco C.; Menga G. | 1990 | Hybrid Hierarchical Scheduling and Control Systems in Manufacturing | IEEE Transactions on Robotics and Automation |
| Brandimarte P.; Greco C. | 1988 | Integration of knowledge-based and algorithmic techniques for production scheduling | |
| Brandimarte Paolo; Greco Cosimo | 1988 | INTEGRATION OF KNOWLEDGE-BASED AND ALGORITHMIC TECHNIQUES FOR PRODUCTION SCHEDULING. |