Corps professoral

Davide LA TORRE

Professeur

Applied Mathematics, Intelligence artificielle, Optimization and Control, Mathematical Modelling

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Davide LA TORRE

Académie

Digitalisation

Centre de recherche

SKEMA Centre for Analytics and Management Science

Localisation

Sophia Antipolis

Discipline

Analytics Information & Operations

Davide La Torre, PhD, HDR, est Professeur des Universités en mathématiques appliquées et intelligence artificielle à SKEMA Business School, Université Côte d’Azur, campus de Sophia Antipolis, France. Il occupe également un poste à temps partiel au Département de mathématiques de l’Université de Bologne (Italie) et siège au Radiomics and Artificial Intelligence Board de l’Institut Européen d’Oncologie (Milan, Italie). Il est par ailleurs affilié à l’École doctorale en médecine des systèmes de l’Université de Milan ainsi qu’à l’École doctorale en sciences de la décision de l’Université de l’Insubrie (Varèse, Italie). Il est également Professeur invité et Professeur adjoint dans plusieurs universités à travers le monde.

Il est titulaire de deux doctorats : l’un en informatique obtenu à l’Université Côte d’Azur (France), et l’autre en mathématiques computationnelles et recherche opérationnelle obtenu à l’Université de Milan (Italie). Il a également obtenu son HDR en mathématiques appliquées à l’Université Côte d’Azur et suivi plusieurs certificats professionnels en analytique au MIT (États‑Unis). Il détient en outre les qualifications nationales françaises et italiennes de Professeur des Universités / Professore Ordinario en mathématiques appliquées, informatique et économie.

Ses activités de recherche et d’enseignement couvrent les mathématiques appliquées, l’intelligence artificielle, la radiomique, l’analyse d’images, l’économie mathématique, la finance mathématique, la médecine mathématique, la durabilité environnementale, l’optimisation et le contrôle. Il a occupé des postes de professeur titulaire et invité en Europe, au Canada, au Moyen‑Orient, en Asie centrale et en Australie, et a exercé des fonctions de doyen associé, directeur de département et responsable de programme dans plusieurs institutions. Il est l’auteur de plus de 250 travaux indexés dans Scopus et possède un indice h de 33 sur Google Scholar.

Formation
2025
Doctorat en informatique, Université Côte d'Azur, France
2023
Qualification à un poste de Professeur des universités ((Professeur Ordinaire), Economie théorique (13 A1), Italie
2023
Qualification à un poste de Professeur des universités (Professeur Associé) , Recherche Opérationnelle (01 A6), Italie
2022
Qualification à un poste de Professeur des universités in Mathématiques appliquées (CNRS 26), France
2022
Qualification à un poste de Professeur des universités, Economie (CNRS 05), France
2022
Qualification à un poste de Professeur des universités, Informatique (CNRS 27), France
2021
HDR in Applied Mathematics, Université Côte d'Azur, France
2020
Qualification à un poste de Professeur des universités (Professeur Associé), Analyse Mathématique (01 A3), Italie
2018
Qualification à un poste de Professeur des universités (Professeur Ordinaire), Economie publique (13 A3), Italie
2018
Qualification à un poste de Professeur des université (Professeur Ordinaire), Économie politique (13 A2), Italie
2012
Qualification à un poste de Professeur des universités (Professeur Ordinaire), Méthodes Mathématiques pour l’économie et la finance (13 D4), Italie
2002
PhD en mathématiques computationnelles et recherche opérationnelle, University of Milan, Italie
1997
Laurea (licence‑master intégré) en mathématiques (110/110 magna cum laude), University of Milan, Italie
1993
Diplôme (60/60) en Informatique, ITIS Computer Science School, Italie
2022
Certificate in Artificial Intelligence in Health Care, Massachusetts Institute of Technology (MIT), Etats-Unis d'Amérique
2021
Certificate in Quantum Computing Fondamentals, Massachusetts Institute of Technology (MIT), Etats-Unis d'Amérique
2021
Certificate in Machine Learning, Modeling, and Simulation: Engineering Problem-Solving in the Age of AI, Massachusetts Institute of Technology (MIT), Etats-Unis d'Amérique
2021
Certificate in Machine Learning, Modeling, and Simulation Principles, Massachusetts Institute of Technology (MIT), Etats-Unis d'Amérique
2021
Certificate in Applying Machine Learning to Engineering and Science, Massachusetts Institute of Technology (MIT), Etats-Unis d'Amérique
2021
Certificate in Quantum Algorithms for Cybersecurity, Chemistry, and Optimization, Massachusetts Institute of Technology (MIT), Etats-Unis d'Amérique
2017
Certificate in Big Data and SocialAnalytics, Massachusetts Institute of Technology (MIT), Etats-Unis d'Amérique
2017
Certificate in Project Management, University of Adelaide, Australie
2017
Certificate in Supply Chain Analytics, Massachusetts Institute of Technology (MIT), Etats-Unis d'Amérique
Expérience professionnelle
Positions académiques principales
Depuis 2019
Professeur des Universités (HDR avec qualification CNRS) de Mathématiques Appliquées et Intelligence Artificielle, SKEMA Business School, France
2018 - 2019
Full Professor, Dubai Business School, Emirats Arabes Unis
2017 - 2018
Full Professor and Department Chair, Nazarbayev University, Kazakhstan
2013 - 2016
Associate Professor and Associate Department Chair (cross-appointed), Department of Applied Mathematics and Sciences, and Department of Industrial and System Engineering, Khalifa University, Emirats Arabes Unis
Depuis 2000
Professeure des Universités d’Intelligence Artificielle et de Sciences de la Décision en Santé et Médecine, Universita' degli Studi di Milano "La Statale", Italie
Autres affiliations académiques
Depuis 2024
Member of the Doctoral School in Systems Medicine, Universita' degli Studi di Milano "La Statale", Italie
2022 - 2023
Doyen Associé, SKEMA Business School, France
Depuis 2021
Radiomics Board Member, European Institute of Oncology, Italie
2020 - 2023
Directeur de l’Institut d’Intelligence Artificielle, SKEMA Business School, France
2020 - 2021
Track Coordinator - L3/M1 PGE in Artificial Intelligence for Managers, SKEMA Business School, France
Depuis 2020
Visiting Professor and Member of the Scientific Committee of the Artificial Intelligence Institute, Abu Dhabi School of Management, Emirats Arabes Unis
2019
Visiting Professor, Universidad de Granada, Espagne
2019 - 2022
Track Coordinator - L3/M1 PGE in Finance and Quants, SKEMA Business School, France
Depuis 2019
Track Coordinator - Finance Specialization - Two Year MSc, SKEMA Business School, France
2017 - 2018
Department Chair, Nazarbayev University, Kazakhstan
Depuis 2015
Member of the Doctoral School in Decision Sciences, Insubria University , Italie
Depuis 2015
Adjunct Professor, University of Waterloo, Canada
2012
Visiting Professor, Australian National University, Australie
2008
Visiting Professor, Laurentian University, Canada
2008
Visiting Professor, University of York, Royaume Uni
2007
Visiting Professor, University of York, Royaume Uni
2007 - 2023
Adjunct Professor, Department of Mathematics and Statistics, University of Guelph, Canada
2007
Visiting Professor, Australian National University, Australie
2003 - 2005
Program Head - Master in International Economics and Finance, University of Milan, Italie
2003 - 2005
Program Head - Master in Data Analysis and Marketing Intelligence, University of Milan, Italie
2001 - 2003
Program Head - Master in Business Intelligence and Data Analysis, University of Milan, Italie
Contrats de recherche, prix et distinctions
Prix et distinctions
2023
Meilleure contribution à l’hybridation dans l’IA, SKEMA Business School, France
2022
Prix de l’érudit le plus productif, SKEMA Business School, France
2021
Outstanding research award, SKEMA Business School, France
2015
Outstanding research award, Khalifa University, Emirats Arabes Unis
2015
Outstanding research award, University of Milan, Italie
Contrats de recherche
2013
Khalifa University KUIRF Level 2 (co-principal investigator), Khalifa University, Emirats Arabes Unis
Autres activités de recherche
Direction d'une revue
2012 - 2020
International Journal of Applied Nonlinear Science
Membre d'un comité éditorial
Depuis 2024
Scientific Reports
Depuis 2024
PLOS ONE
Depuis 2022
Discover Artificial Intelligence
Depuis 2022
Mathematics
Depuis 2022
Journal of Modelling in Management
Depuis 2022
International Transactions in Operational Research
Depuis 2021
Data Science in Finance and Economics
2013 - 2020
Mathematical Problems in Engineering
2012 - 2020
International Journal of Computing Science and Mathematics
2012 - 2018
Data Envelopment Analysis and Decision Science
2011 - 2014
International Journal of Portfolio Analysis and Management
2009 - 2019
International Journal of Mathematics and Statistics
Editeur associé d'une revue
Depuis 2024
Annals of Operations Research
Depuis 2022
Engineering Management Journal
Relecteur pour :
Journal of the Operational Research Society, Annals of Operations Research, Chaos, Solitons, and Fractals, Computational Economics
Supervision de thèses
Depuis 2024
F. DAL LAGO, Insubria University , Doctorat, Directeur de thèse
Depuis 2023
A. KUNZE, Doctorat, Directeur de thèse
2024
M. YODZIS, Doctorat, Membre de jury
2023
M. ABOU MJAHED, NEOMA Business School, Doctorat, Rapporteur
2023
M. FITZSIMMONS, University of Waterloo, Doctorat, Rapporteur
2023
S. VOLPE, Universita' degli Studi di Milano "La Statale", Doctorat, Rapporteur
2023
Y. MAKHLOUF, Université de Lorraine, Doctorat, Rapporteur
2022
I. R. LAGANA, Università degli Studi Mediterranea di Reggio Calabria, Doctorat, Co-directeur de thèse
2019
K. WANG, Dalhousie University , Doctorat, Rapporteur
2018
N. BAGHERI, The University of Dubai, Doctorat, Rapporteur
2015
D. LIUZZI, Universita' degli Studi di Milano "La Statale", Doctorat, Directeur de thèse
2012
E. C. RICCI, Doctorat, Co-directeur de thèse
2012
M. DEMERS, Doctorat, Co-directeur de thèse
2012
K. LEVERE, University of Guelph, Doctorat, Co-directeur de thèse
2011
S. MARSIGLIO, Universita' degli Studi di Milano "La Statale", Doctorat, Directeur de thèse
2008
L. ORSI, Universita' degli Studi di Milano "La Statale", Doctorat, Directeur de thèse

Articles académiques revus

ASSEFA, D.Z., ISHIZAKA, A. et LA TORRE, D. (2025). Exploring the ESG-finance relationship through PROMETHEE ranking. Annals of Operations Research.
REPETTO, M., COLAPINTO, C., JARAYAMAN, R., APPIO, F. et LA TORRE, D. (2025). Blockchain-enabled predictive digital twin approach for healthcare: Enhancing accuracy and performance with federated learning. International Journal of Production Economics, pp. 109768.
BROEKAERT, J., LA TORRE, D. et HAFIZ, F. (2025). The impact of the psychological effect of infectivity on Nash-balanced control strategies for epidemic networks. Annals of Operations Research, 351, pp. 1743–1765.
LA TORRE, D., MENDIVIL, F. et ROCCA, M. (2025). Set-valued -coherent risk measures for sustainable decision-making. Annals of Operations Research.
LA TORRE, D., MENDIVIL, F. et ROCCA, M. (2025). Generalized Robust Optimization using the Notion of Set-Valued Probability. Journal of Optimization Theory and Applications, 207(64), pp. 1-26.
FRASCA, M., LA TORRE, D., PRAVETTONI, G. et CUTICA, I. (2025). Combining convolution neural networks with long-short term memory layers to predict Parkinson’s disease progression. International Transactions in Operational Research, 32(4), pp. 2159-2188.
DE NICOLÒ, V., FRASCA, M., GRAZIOSI, A., GAZZANIGA, G., LA TORRE, D. et PANI, A. (2025). Synthetic data generation in genomic cancer medicine: a review of global research trends in the last ten years. Discover Artificial Intelligence, 5(148), pp. 1-31.
BROEKAERT, J., LA TORRE, D., HAFIZ, F. et BRUSSET, X. (2025). The diverging control policy’s hand in supranational supply chain reconfiguration. International Journal of Production Economics, 284, pp. 109567.
RICETTI, C., CARRARA, L. et LA TORRE, D. (2025). The potential of machine learning in diagnosing neurological and psychiatric diseases: a review. Discover Artificial Intelligence, 5(105), pp. 1-40.
LA TORRE, D., MAGGISTRO, R. et MARSIGLIO, S. (2025). Transboundary pollution control under evolving social norms: a mean-field approach. Decisions in Economics and Finance, 48, pp. 437–463.
FRASCA, M., CUTICA, I., PRAVETTONI, G. et LA TORRE, D. (2025). Optimizing melanoma diagnosis: A hybrid deep learning and quantum computing approach for enhanced lesion classification. Intelligence-Based Medicine, 12, pp. 100264.
BROEKAERT, J., HAFIZ, F., LA TORRE, D. et JAYARAMAN, R. (2025). Managing resilience and viability of supranational supply chains under epidemic control scenarios. Omega, 133, pp. 103234.
LA TORRE, D., MARSIGLIO, S., MENDIVIL, F. et PRIVILEGGI, F. (2025). Stochastic optimal growth under state-dependent probabilities. Decisions in Economics and Finance.
LA TORRE, D., MARSIGLIO, S. et PRIVILEGGI, F. (2025). A Game of Transboundary Pollution under Endogenous Ecological Uncertainty. Environmental and Resource Economics.
BRUSSET, X., JEBALI, A., LA TORRE, D. et LIUZZI, D. (2025). Production optimization in the time of pandemic: an SIS-based optimal controlmodel with protection effort and cost minimization. Annals of Operations Research, 344, pp. 79-102.
LA TORRE, D. et ROCCA, M. (2024). Distributionally robust multiobjective optimization with application to risk measure theory. Annals of Operations Research, pp. 1-20.
HAFIZ, F., NAIK, C., LA TORRE, D. et SWAIN, A. (2024). Quantification of Nonstationary Power Quality Events: A New Index Based on l_p Norm of Energy. IEEE Transactions on Systems, Man and Cybernetics: Systems, 54(12), pp. 7457 - 7471.
MARVASO, G., ISAKSSON, L.J., ZAFFARONI, M., VINCINI, M.G., SUMMERS, P.E., PEPA, M. ... JERECZEK-FOSSA, B.A. (2024). Can we predict pathology without surgery? Weighing the added value of multiparametric MRI and whole prostate radiomics in integrative machine learning models. European Radiology, 34, pp. 6241–6253.
FRASCA, M. et LA TORRE, D. (2024). An extended Daugman's algorithm for iris with eye pathology recognition. Expert Systems with Applications, 252, Part A(124160), pp. 1-12.
BERENGUER, M.I., GAMEZ, D., KUNZE, H., LA TORRE, D. et RUIZ GALAN, M. (2024). Solving direct and inverse problems for Fredholm-type integro-differential equations with application to pollution diffusion modeling. Mathematics and Computers in Simulation, 223, pp. 394-404.
LA TORRE, D., LIUZZI, D., REPETTO, M. et ROCCA, M. (2024). Enhancing deep learning algorithm accuracy and stability using multicriteria optimization: an application to distributed learning with MNIST digits. Annals of Operations Research, 339, pp. 455–475.
BROEKAERT, J., LA TORRE, D., HAFIZ, F. et REPETTO, M. (2024). A comparative cost assessment of coalescing epidemic control strategies in heterogeneous social-contact networks. Computers & Operations Research, 167, pp. 106680.
HAFIZ, F., BROEKAERT, J., LA TORRE, D. et SWAIN, A. (2024). A multi-criteria approach to evolve sparse neural architectures for stock market forecasting. Annals of Operations Research, 167(106680), pp. 1-45.
FRASCA, M., LA TORRE, D., REPETTO, M., DE NICOLÒ, V., PRAVETTONI, G. et CUTICA, I. (2024). Artificial intelligence applications to genomic data in cancer research: a review of recent trends and emerging areas. Discover Analytics, 2(1), pp. 1-10.
DE FRUTOS, J., LA TORRE, D., LIUZZI, D., MARSIGLIO, S. et MARTÍN-HERRAN, G. (2024). Balancing mitigation policies during pandemics: economic, health, and environmental implications. Annals of Operations Research.
LA TORRE, D., MARSIGLIO, S. et PRIVILEGGI, F. (2024). Infectious diseases and social distancing under state-dependent probabilities. Annals of Operations Research, 337(3), pp. 993-1008.
LA TORRE, D. et MAGGISTRO, R. (2024). Multi-agent dynamic financial portfolio management: a differential game approach. Annals of Operations Research, pp. 1-22.
BROEKAERT, J., LA TORRE, D. et HAFIZ, F. (2024). Competing control scenarios in probabilistic SIR epidemics on social-contact networks. Annals of Operations Research, 336, pp. 2037-2060.
FRASCA, M., LA TORRE, D., PRAVETTONI, G. et CUTICA, I. (2024). Explainable and interpretable artificial intelligence in medicine: a systematic bibliometric review. Discover Artificial Intelligence, 4(15), pp. 1-21.
LA TORRE, D., ZUCCOTTO, M., CASTELLINI, A., MOLA, L. et FARINELLI, A. (2024). Reinforcement learning applications in environmental sustainability: a review. Artificial Intelligence Review, 57(88), pp. 1-68.
LA TORRE, D., MENDIVIL, F. et ROCCA, M. (2024). Modeling portfolio efficiency using stochastic optimization with incomplete information and partial uncertainty. Annals of Operations Research, 334(1-3), pp. 241-263.
LA TORRE, D., MARSIGLIO, S., MENDIVIL, F. et PRIVILEGGI, F. (2024). Stochastic disease spreading and containment policies under state-dependent probabilities. Economic Theory, 77, pp. 127-168.
CAMACHO, C., DESBORDES, R. et LA TORRE, D. (2024). A time-space integro-differential economic model of epidemic control. Economic Theory, 77(1-2), pp. 307-348.
LA TORRE, D., LIUZZI, D. et MARSIGLIO, S. (2024). Epidemic outbreaks and the optimal lockdown area: a spatial normative approach. Economic Theory, 77, pp. 349-411.
VOLPE, S., ZAFFARONI, M., PIPERNO, G., VINCINI, M.G., ZERELLA, M.A., MASTROLEO, F. ... JERECZEK-FOSSA, B.A. (2023). Multi-omics integrative modelling for stereotactic body radiotherapy in early-stage non-small cell lung cancer: clinical trial protocol of the MONDRIAN study. BMC Cancer, 23(1), pp. 1236.
BUCCI, A., LA TORRE, D., LIUZZI, D. et MARSIGLIO, S. (2023). A network-based economic growth model with endogenous migration and poverty traps. Metroeconomica, 74(4), pp. 833-857.
HAFIZ, F., BROEKAERT, J., LA TORRE, D. et SWAIN, A. (2023). Co-evolution of Neural Architectures and Features for Stock Market Forecasting: A Multi-objective Decision Perspective. Decision Support Systems, 174, pp. 114015.
BEN ABDELAZIZ, F. et LA TORRE, D. (2023). Robust generalized Merton-type financial portfolio models with generalized utility. Annals of Operations Research, 330, pp. 55-72.
BERENGUER, M.I., GAMEZ, D., GARRALDA-GUILLEM, A.I., KUNZE, H., LA TORRE, D. et RUIZ GALAN, M. (2023). Solving inverse problems for mixed-variational equations on perforated domains. Computational and Applied Mathematics, 42(297).
BRUSSET, X., IVANOV, D., JEBALI, A., LA TORRE, D. et REPETTO, M. (2023). A dynamic approach to supply chain reconfiguration and ripple effect analysis in an epidemic. International Journal of Production Economics, 263, pp. 108935.
BRYSON, B., KUNZE, H., LA TORRE, D. et LIUZZI, D. (2023). A Generalized Multiple Criteria Data-Fitting Model With Sparsity and Entropy With Application to Growth Forecasting. IEEE Transactions on Engineering Management, 70(5), pp. 1900-1911.
VINCINI, M.G., MARVASO, G., ISAKSSON, L.J., ZAFFARONI, M., PEPA, M., CORRAO, G. ... JERECZEK-FOSSA, B.A. (2023). PO-2101 Added Value Of MRI Radiomics To Predict Pathological Status Of Prostate Cancer Patients. Radiotherapy and Oncology, 182(1), pp. S1884-S1886.
LA TORRE, D., COLAPINTO, C., DUROSINI, I. et TRIBERTI, S. (2023). Team Formation for Human-Artificial Intelligence Collaboration in the Workplace: A Goal Programming Model to Foster Organizational Change. IEEE Transactions on Engineering Management, 70(5), pp. 1966-1976.
TRIBERTI, S., LA TORRE, D. et RIVA, G. (2023). The Artificial Face (ART-F) Project: Addressing the Problem of Interpretability, Interface, and Trust in Artificial Intelligence. Cyberpsychology, Behavior, and Social Networking, 26(4), pp. 318-320.
BRUSSET, X., JEBALI, A. et LA TORRE, D. (2023). Production optimisation in a pandemic context. International Journal of Production Research, 61(5), pp. 1642-1663.
BRUSSET, X., DAVARI, M., KINRA, A. et LA TORRE, D. (2023). Modelling ripple effect propagation and global supply chain workforce productivity impacts in pandemic disruptions. International Journal of Production Research, 61(8), pp. 2493-2512.
VINCINI, M.G., MARVASO, G., ISAKSSON, L.J., ZAFFARONI, M., PEPA, M., CORRAO, G. ... JERECZEK-FOSSA, B.A. (2023). Added value of MRI radiomics to predict pathological status of prostate cancer patients. European Urology, 83, pp. S1799-S1800.
ISAKSSON, L.J., REPETTO, M., SUMMERS, P.E., PEPA, M., ZAFFARONI, M., VINCINI, M.G. ... JERECZEK-FOSSA, B.A. (2023). High-performance prediction models for prostate cancer radiomics. Informatics in Medicine Unlocked, 37, pp. 101161.
LA TORRE, D., LIUZZI, D. et MARSIGLIO, S. (2022). Geographical heterogeneities and externalities in an epidemiological-macroeconomic framework. Journal of Public Economic Theory, 24(5), pp. 1154-1181.
BRUSSET, X., JEBALI, A., LA TORRE, D. et MAZAHIR, S. (2022). Optimal Pollution Control in a Dynamic Multi-echelon Supply Chain. Environmental Modeling and Assessment, 27, pp. 585-598.
KUNZE, H. et LA TORRE, D. (2022). Solving inverse problems for steady-state equations using a multiple criteria model with collage distance, entropy, and sparsity. Annals of Operations Research, 311, pp. 1051–1065.
LA TORRE, D. et MENDIVIL, F. (2022). Stochastic efficiency and inefficiency in portfolio optimization with incomplete information: a set-valued probability approach. Annals of Operations Research, 311, pp. 1085–1098.
KUNZE, H., LA TORRE, D. et MARSIGLIO, S. (2022). Sustainability and spatial spillovers in a multicriteria macroeconomics model. Annals of Operations Research, 311, pp. 1067–1084.
LA TORRE, D., LIUZZI, D., MAGGISTRO, R. et MARSIGLIO, S. (2022). Mobility Choices and Strategic Interactions in a Two-Group Macroeconomic-Epidemiological Model. Dynamic Games and Applications, 12, pp. 110-132.
URBANIAK, I.A., KUNZE, A., LI, D., LA TORRE, D. et VRSCAY, E. (2021). The use of intensity-dependent weight functions to "Weberize" L2-based methods of signal and image approximation. Optimization and Engineering, 22, pp. 2349-2365.
LI, D., LA TORRE, D. et VRSCAY, E. (2021). The intensity-based measure approach to "Weberize" L2-based methods of signal and image approximation. Optimization and Engineering, 22, pp. 2321-2347.
KUNZE, H., LA TORRE, D. et GALÁN, M.R. (2021). Optimization methods in inverse problems and applications to science and engineering. Optimization and Engineering, 22(4), pp. 2151-2158.
OTERO, D., LA TORRE, D., MICHAILOVICH, O. et VRSCAY, E. (2021). Optimization of structural similarity in mathematical imaging. Optimization and Engineering, 22, pp. 2367-2401.
LA TORRE, D., MARSIGLIO, S., MENDIVIL, F. et PRIVILEGGI, F. (2021). Public Debt Dynamics under Ambiguity by Means of Iterated Function Systems on Density Functions. Discrete and Continuous Dynamical Systems Series B, 26(11), pp. 5873-5903.
LA TORRE, D., LIUZZI, D. et MARSIGLIO, S. (2021). Transboundary pollution externalities: Think globally, act locally? Journal of Mathematical Economics, 96, pp. 102511.
KHAN, F. et LA TORRE, D. (2021). Quantum information technology and innovation: a brief history; current state and future perspectives for business and management. Technology Analysis and Strategic Management, 33(11), pp. 1281-1289.
LA TORRE, D., BEN ABDELAZIZ, F. et ALAYA, H. (2021). Dynamic Programming and Optimal Control for Vector-Valued Functions: A State-of-the-art Review. RAIRO - Operations Research, 55, pp. 351-364.
LA TORRE, D., LIUZZI, D. et MARSIGLIO, S. (2021). Epidemics and macroeconomic outcomes: Social distancing intensity and duration. Journal of Mathematical Economics, 93, pp. 102473.
GARRALDA-GUILLEM, A.I., KUNZE, H., LA TORRE, D. et GALAN, M.R. (2020). Using the Generalized Collage Theorem for Estimating Unknown Parameters in Perturbed Mixed Variational Equations. Communications in Nonlinear Science and Numerical Simulation, 91, pp. 105433.
LA TORRE, D., MARCOUX, J., MENDIVIL, F. et VRSCAY, E. (2020). Denoising of diffusion magnetic resonance images using a modified and differentiable Monge-Kantorovich distance for measure-valued images. Communications in Nonlinear Science and Numerical Simulation, 91, pp. 105456.
COLAPINTO, C., JAYARAMAN, R. et LA TORRE, D. (2020). A goal programming model to study the impact of R&D expenditures on sustainability-related criteria: the case of Kazakhstan. Management Decision, 58(11), pp. 2497-2512.
LA TORRE, D., MALIK, T. et MARSIGLIO, S. (2020). Optimal control of prevention and treatment in a basic macroeconomic-epidemiological model. Mathematical Social Sciences, 108, pp. 100-108.
LA TORRE, D. et MARSIGLIO, S. (2020). A note on optimal debt reduction policies. Macroeconomic Dynamics, 24(7), pp. 1850-1860.
COLAPINTO, C., JAYARAMAN, R., BEN ABDELAZIZ, F. et LA TORRE, D. (2020). Environmental Sustainability and Multifaceted Development: Multi-Criteria Decision Models with Applications. Annals of Operations Research, 293, pp. 405-432.
BEN ABDELAZIZ, F., COLAPINTO, C., LA TORRE, D. et LIUZZI, D. (2020). A Stochastic Dynamic Multiobjective Model for Sustainable Decision Making. Annals of Operations Research, 293, pp. 539-556.
LA TORRE, D., BOUBAKER, S., PÉREZ GLADISH, B. et ZOPOUNIDIS, C. (2020). Multidimensional Finance, Insurance and Investment. International Transactions in Operational Research, 27(5), pp. 2689-2690.
LA TORRE, D., MENDIVIL, F., MARSIGLIO, S. et PRIVILEGGI, F. (2019). A stochastic economic growth model with health capital and state-dependent probabilities. Chaos, Solitons, and Fractals, 129, pp. 81-93.
LA TORRE, D., LIUZZI, D. et MARSIGLIO, S. (2019). Population and geography do matter for sustainable development. Environment and Development Economics, 24(2), pp. 201-223.
COLAPINTO, C., LA TORRE, D. et AOUNI, B. (2019). Goal programming for financial portfolio management: a state-of-the-art review. Operational Research: An International Journal, 19, pp. 717-736.
BUCCI, A., LA TORRE, D., LIUZZI, D. et MARSIGLIO, S. (2019). Financial contagion and economic development: An epidemiological approach. Journal of Economic Behavior and Organization, 162, pp. 211-228.
LA TORRE, D., LIUZZI, D. et MARSIGLIO, S. (2019). The optimal population size under pollution and migration externalities: a spatial control approach. Mathematical Modelling of Natural Phenomena, 14(1), pp. 1-15.
VIE, A., COLAPINTO, C., LA TORRE, D. et LIUZZI, D. (2019). The long-run sustainability of the European Union countries: Assessing the Europe 2020 strategy through a fuzzy goal programming model. Management Decision, 57(2), pp. 523-542.
SHAROMI, O., LA TORRE, D. et MALIK, T. (2019). A multiple criteria economic growth model with environmental quality and logistic population behaviour with variable carrying capacity. INFOR, 57(3), pp. 379-393.
LA TORRE, D. et MENDIVIL, F. (2018). Stochastic linear optimization under partial uncertainty and incomplete information using the notion of probability multimeasure. Journal of the Operational Research Society, 69(10), pp. 1549-1556.
LA TORRE, D. et MENDIVIL, F. (2018). Portfolio optimization under partial uncertainty and incomplete information: a probability multimeasure-based approach. Annals of Operations Research, 267, pp. 267-279.
LA TORRE, D. et MARSIGLIO, S. (2018). Economic Growth and Abatement Activities in a Stochastic Environment: a Multi-Objective Approach. Annals of Operations Research, 267, pp. 321–334.
LA TORRE, D., MARSIGLIO, S., MENDIVIL, F. et PRIVILEGGI, F. (2018). Fractal attractors and singular invariant measures in two-sector growth models with random factor shares. Communications in Nonlinear Science and Numerical Simulation, 58, pp. 185-201.
LA TORRE, D., MARSIGLIO, S. et PRIVILEGGI, F. (2018). Fractal attractors in economic growth models with random pollution externalities. Chaos: An Interdisciplinary Journal of Nonlinear Science, 28(5).
JAYARAMAN, R., COLAPINTO, C., LIUZZI, D. et LA TORRE, D. (2017). Planning sustainable development through a scenario-based stochastic goal programming model. Operational Research: An International Journal, 17, pp. 789-805.
LA TORRE, D., LIUZZI, D. et MARSIGLIO, S. (2017). Pollution Control under Uncertainty and Sustainability Concern. Environmental and Resource Economics, 67, pp. 885-903.
OTERO, D., LA TORRE, D., MICHAILOVICH, O. et VRSCAY, E. (2017). On the theory of function-valued mappings and its application to the processing of hyperspectral images. Signal Processing, 134, pp. 185-196.
LA TORRE, D. (2017). Preface: Multiple criteria optimization and goal programming in science, engineering, and social sciences. Annals of Operations Research, 251, pp. 1-5.
ANITA, S., CAPASSO, V., KUNZE, H. et LA TORRE, D. (2017). Optimizing Environmental Taxation on Physical Capital for a Spatially Structured Economic Growth Model Including Pollution Diffusion. Vietnam Journal of Mathematics, 45, pp. 199-206.
JAYARAMAN, R., COLAPINTO, C., LA TORRE, D. et MALIK, T. (2017). A Weighted Goal Programming model for planning sustainable development applied to Gulf Cooperation Council Countries. Applied Energy, 185(Part 2), pp. 1931-1939.
LA TORRE, D., MENDIVIL, F. et VRSCAY, E. (2016). Iterated Function Systems On Functions Of Bounded Variation. Fractals, 24(2), pp. 1650019.
BERENGUER, M.I., KUNZE, H., LA TORRE, D. et RUIZ GALAN, M. (2016). Galerkin method for constrained variational equations and a collage-based approach to related inverse problems. Journal of Computational and Applied Mathematics, 292, pp. 67-75.
LEVERE, K.M., KUNZE, H. et LA TORRE, D. (2015). A collage-based approach to solving inverse problems for second-order nonlinear hyperbolic PDEs. Communications in Nonlinear Science and Numerical Simulation, 29(1-3), pp. 283-299.
JAYARAMAN, R., COLAPINTO, C., LA TORRE, D. et MALIK, T. (2015). Multi-criteria model for sustainable development using goal programming applied to the United Arab Emirates. Energy Policy, 87, pp. 447-454.
LA TORRE, D., LIUZZI, D. et MARSIGLIO, S. (2015). Pollution Diffusion and Abatement Activities across Space and over Time. Mathematical Social Sciences, 78, pp. 48-63.
LA TORRE, D., MENDIVIL, F., MARSIGLIO, S. et PRIVILEGGI, F. (2015). Self-similar measures in multi-sector endogenous growth models. Chaos, Solitons, and Fractals, 79, pp. 40-56.
JAYARAMAN, R., LA TORRE, D., MALIK, T. et PEARSON, Y. (2015). Optimal Work Force Allocation for Energy, Economic and Environmental Sustainability in the United Arab Emirates: A Goal Programming Approach. Energy Procedia, 75, pp. 2999-3006.
ANITA, S., CAPASSO, V., KUNZE, H. et LA TORRE, D. (2015). Dynamics and control of an integro-differential system of geographical economics. Annals of the Academy of Romanian Scientists: Series on Mathematics and its Applications, 7(1), pp. 8-26.
LA TORRE, D. et MENDIVIL, F. (2015). The Monge–Kantorovich Metric on Multimeasures and Self–Similar Multimeasures. Set-Valued and Variational Aanalysis, 23, pp. 319-331.
ANITA, S., CAPASSO, V., KUNZE, H. et LA TORRE, D. (2015). Dynamics and optimal control in a spatially structured economic growth model with pollution diffusion and environmental taxation. Applied Mathematics Letters, 42, pp. 36-40.
AOUNI, B., COLAPINTO, C. et LA TORRE, D. (2014). Financial Portfolio Management through Goal Programming: State-of-the-art. European Journal of Operational Research, 234(2), pp. 536-545.