Professors

Davide LA TORRE

Professor

Intelligence artificielle, Mathematical and Statistical Modeling, Recherche opérationnel, Applied Mathematics, Engineering Mathematics, Optimisation and Control, Economie mathématique, Médecine mathématique

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Davide LA TORRE

Academy

Digitalization

Research center

SKEMA Centre for Analytics and Management Science

Location

Sophia Antipolis

Discipline

Analytics Information & Operations

Davide La Torre, PhD, HDR, is a Full Professor in Applied Mathematics and Artificial Intelligence at SKEMA Business School, Université Côte d'Azur, Sophia Antipolis Campus, France. He is also affiliated with the Radiomics Board of the European Institute of Oncology (Milan, Italy), with the Department of Oncology of the University of Milan (Milan, Italy), with the Doctoral School in Decision Sciences at Insubria University (Varese, Italy), and with the Department of Applied Mathematics of the University of Waterloo (Waterloo, Canada). He got his HDR (Habilitation à Diriger des Recherches) in Applied Mathematics from the Université Côte d'Azur, Nice, France (2021) and a Doctorate in Computational Mathematics and Operations Research from the University of Milan, Milan, Italy (2002) as well as professional certificates in Analytics from the Massachusetts Institute of Technology, USA.He holds the French national qualification as Professeur des Universités in Applied Mathematics (CNRS 26), Computer Science (CNRS 27), and Economics (CNRS 5) as well as the Italian national qualification as Professore Ordinario/Associato in Mathematical Methods for Economics (13 D4), Economics (13 A1), Political Economy (13 A2), and Public Economics (13 A3). Mathematical Analysis, Statistics, and Probability (MAT 05), and Operations Research (MAT 09). His research and teaching interests include Applied Mathematics, Artificial Intelligence, Image Analysis, Mathematical Economics, Mathematical Finance, Mathematical Medicine, Optimization and Control. In the past he held permanent and visiting university professor positions in Europe, Canada, Middle East, Central Asia, and Australia. He also served as Associate Dean, Departmental Chair and Program Head at several universities. He has more than 200 publications in Scopus, most of them published in high IF journals ranging from Artificial Intelligence to Mathematics, from Economics to Finance, from Engineering to Management.

Education
2023
Certification in the function of University Professor (Full Professor), Economic Theory (13 A1), Italy
2023
Certification in the function of University Professor (Associate Professor), Operations Research (01 A6), Italy
2022
Certification in the function of University-Professor (Full Professor) in Applied Mathematics (CNRS 26), France
2022
Certification in the function of University-Professor (Full Professor), Economics (CNRS 5), France
2022
Certification in the function of University-Professor (Full Professor), Computer science (CNRS 27), France
2021
HDR in Applied Mathematics, Université Côte d'Azur, France
2020
Certification in the function of University Professor (Associate Professor), Mathematical Analysis (01 A3), Italy
2018
Certification in the function of University Professor (Full Professor), Public Economics (13 A3), Italy
2018
Certification in the function of University Professor (Full Professor), Political Economy (13 A2), Italy
2012
Certification in the function of University Professor (Full Professor), Mathematical Methods for Economics and Finance (13 D4), Italy
2002
Ph.D. in Computational Mathematics and Operations Research, University of Milan, Italy
1997
Master in Applied and Industrial Mathematics, University of Milan, Italy
1993
Diploma (60/60) in Computer Science, ITIS Computer Science School, Italy
2022
Certificate in Artificial Intelligence in Health Care, Massachusetts Institute of Technology (MIT), United States of America
2021
Certificate in Machine Learning, Modeling, and Simulation: Engineering Problem-Solving in the Age of AI, Massachusetts Institute of Technology (MIT), United States of America
2021
Certificate in Machine Learning, Modeling, and Simulation Principles, Massachusetts Institute of Technology (MIT), United States of America
2021
Certificate in Applying Machine Learning to Engineering and Science, Massachusetts Institute of Technology (MIT), United States of America
2021
Certificate in Quantum Algorithms for Cybersecurity, Chemistry, and Optimization, Massachusetts Institute of Technology (MIT), United States of America
2021
Certificate in Quantum Computing Fondamentals, Massachusetts Institute of Technology (MIT), United States of America
2017
Certificate in Project Management, University of Adelaide, Australia
2017
Certificate in Supply Chain Analytics, Massachusetts Institute of Technology (MIT), United States of America
2017
Certificate in Big Data and Social Analytics, Massachusetts Institute of Technology (MIT), United States of America
Experience
Full-time academic positions
Since 2019
Full Professor (HDR with CNRS Professeur des Universités qualifications) of Applied Mathematics and Artificial Intelligence, SKEMA Business School, France
2018 - 2019
Full Professor, Dubai Business School, United Arab Emirates
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, United Arab Emirates
Since 2000
University Professor of Artificial Intelligence and Decision Sciences in Health and Medicine, Universita' degli Studi di Milano "La Statale", Italy
Other academic affiliations and appointments
Since 2024
Member of the Doctoral School in Systems Medicine, Universita' degli Studi di Milano "La Statale", Italy
2022 - 2023
Associate Dean, SKEMA Business School, France
Since 2021
Radiomics Board Member, European Institute of Oncology, Italy
2020 - 2023
Director of the Artificial Intelligence Institute, SKEMA Business School, France
2020 - 2021
Track Coordinator - L3/M1 PGE in Artificial Intelligence for Managers, SKEMA Business School, France
Since 2020
Visiting Professor and Member of the Scientific Committee of the Artificial Intelligence Institute, Abu Dhabi School of Management, United Arab Emirates
2019
Visiting Professor, Universidad de Granada, Spain
2019 - 2022
Track Coordinator - L3/M1 PGE in Finance and Quants, SKEMA Business School, France
Since 2019
Track Coordinator - Finance Specialization - Two Year MSc, SKEMA Business School, France
2017 - 2018
Department Chair, Nazarbayev University, Kazakhstan
Since 2015
Member of the Doctoral School in Decision Sciences, Insubria University , Italy
Since 2015
Adjunct Professor, University of Waterloo, Canada
2012
Visiting Professor, Australian National University, Australia
2008
Visiting Professor, Laurentian University, Canada
2008
Visiting Professor, University of York, Great Britain
2007
Visiting Professor, University of York, Great Britain
2007 - 2023
Adjunct Professor, Department of Mathematics and Statistics, University of Guelph, Canada
2007
Visiting Professor, Australian National University, Australia
2003 - 2005
Program Head - Master in International Economics and Finance, University of Milan, Italy
2003 - 2005
Program Head - Master in Data Analysis and Marketing Intelligence, University of Milan, Italy
2001 - 2003
Program Head - Master in Business Intelligence and Data Analysis, University of Milan, Italy
Research grants, Awards and Honors
Awards and Honors
2023
Best contribution to hybridization in AI, SKEMA Business School, France
2022
Most productive scholar award, SKEMA Business School, France
2021
Outstanding research award, SKEMA Business School, France
2015
Outstanding research award, Khalifa University, United Arab Emirates
2015
Outstanding research award, University of Milan, Italy
Research Grants
2013
Khalifa University KUIRF Level 2 (co-principal investigator), Khalifa University, United Arab Emirates
Other research activities
Chief Editor
2012 - 2020
International Journal of Applied Nonlinear Science
Editorial Board Member
Since 2024
Annals of Operations Research
Since 2022
Discover Artificial Intelligence
Since 2022
Engineering Management Journal
Since 2022
Journal of Modelling in Management
Since 2022
Mathematics
Since 2022
International Transactions in Operational Research
Since 2021
Data Science in Finance and Economics
2013 - 2020
Mathematical Problems in Engineering
2012 - 2018
Data Envelopment Analysis and Decision Science
2012 - 2020
International Journal of Computing Science and Mathematics
2011 - 2014
International Journal of Portfolio Analysis and Management
2009 - 2019
International Journal of Mathematics and Statistics
Reviewer for:
Journal of the Operational Research Society, Annals of Operations Research, Chaos, Solitons, and Fractals, Computational Economics
PhD Supervision
2024
PhD thesis, Thesis jury member
2023
M. ABOU MJAHED, NEOMA Business School, PhD thesis, Thesis Reviewer
2023
M. FITZSIMMONS, University of Waterloo, PhD thesis, Thesis Reviewer
2023
S. VOLPE, Universita' degli Studi di Milano "La Statale", PhD thesis, Thesis Reviewer
2023
Y. MAKHLOUF, Université de Lorraine, PhD thesis, Thesis Reviewer
2022
I. R. LAGANA, Università degli Studi Mediterranea di Reggio Calabria, PhD thesis, Thesis co-director
2019
K. WANG, Dalhousie University , PhD thesis, Thesis Reviewer
2018
N. BAGHERI, The University of Dubai, PhD thesis, Thesis Reviewer
2015
D. LIUZZI, Universita' degli Studi di Milano "La Statale", PhD thesis, Thesis director
2012
E. C. RICCI, PhD thesis, Thesis co-director
2012
M. DEMERS, PhD thesis, Thesis co-director
2012
K. LEVERE, University of Guelph, PhD thesis, Thesis co-director
2011
S. MARSIGLIO, Universita' degli Studi di Milano "La Statale", PhD thesis, Thesis director
2008
L. ORSI, Universita' degli Studi di Milano "La Statale", PhD thesis, Thesis director
A. KUNZE, PhD thesis, Thesis director

Peer-reviewed journal articles

FRASCA, M. and 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. and 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.
HAFIZ, F., BROEKAERT, J., LA TORRE, D. and 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.
LA TORRE, D., MARSIGLIO, S. and PRIVILEGGI, F. (2024). Infectious diseases and social distancing under state-dependent probabilities. Annals of Operations Research, 337(3), pp. 993-1008.
BROEKAERT, J., LA TORRE, D. and HAFIZ, F. (2024). Competing control scenarios in probabilistic SIR epidemics on social-contact networks. Annals of Operations Research, 336, pp. 2037-2060.
LA TORRE, D., ZUCCOTTO, M., CASTELLINI, A., MOLA, L. and FARINELLI, A. (2024). Reinforcement learning applications in environmental sustainability: a review. Artificial Intelligence Review, 57(88), pp. 1-68.
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.
LA TORRE, D., MENDIVIL, F. and 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.
FRASCA, M., LA TORRE, D., PRAVETTONI, G. and 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., MARSIGLIO, S., MENDIVIL, F. and PRIVILEGGI, F. (2024). Stochastic disease spreading and containment policies under state-dependent probabilities. Economic Theory, 77, pp. 127-168.
CAMACHO, C., DESBORDES, R. and 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. and MARSIGLIO, S. (2024). Epidemic outbreaks and the optimal lockdown area: a spatial normative approach. Economic Theory, 77, pp. 349-411.
FRASCA, M., LA TORRE, D., PRAVETTONI, G. and CUTICA, I. (2024). Combining convolution neural networks with long-short term memory layers to predict Parkinson’s disease progression. International Transactions in Operational Research, pp. 1-30.
DE FRUTOS, J., LA TORRE, D., LIUZZI, D., MARSIGLIO, S. and MARTÍN-HERRAN, G. (2024). Balancing mitigation policies during pandemics: economic, health, and environmental implications. Annals of Operations Research.
BROEKAERT, J., LA TORRE, D. and HAFIZ, F. (2024). The impact of the psychological effect of infectivity on Nash-balanced control strategies for epidemic networks. Annals of Operations Research.
BROEKAERT, J., LA TORRE, D., HAFIZ, F. and REPETTO, M. (2024). A comparative cost assessment of coalescing epidemic control strategies in heterogeneous social-contact networks. Computers & Operations Research.
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. and 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. and 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. and LA TORRE, D. (2023). Robust generalized Merton-type financial portfolio models with generalized utility. Annals of Operations Research, 330, pp. 55-72.
BRUSSET, X., IVANOV, D., JEBALI, A., LA TORRE, D. and 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.
BERENGUER, M.I., GAMEZ, D., GARRALDA-GUILLEM, A.I., KUNZE, H., LA TORRE, D. and RUIZ GALAN, M. (2023). Solving inverse problems for mixed-variational equations on perforated domains. Computational and Applied Mathematics, 42(297).
BRYSON, B., KUNZE, H., LA TORRE, D. and 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. and 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. and 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. and 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. and 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.
BRUSSET, X., JEBALI, A., LA TORRE, D. and LIUZZI, D. (2023). Production optimization in the time of pandemic: an SIS-based optimal controlmodel with protection effort and cost minimization. Annals of Operations Research.
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. and 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. and MAZAHIR, S. (2022). Optimal Pollution Control in a Dynamic Multi-echelon Supply Chain. Environmental Modelling and Assessment, 27, pp. 585-598.
LA TORRE, D., LIUZZI, D., REPETTO, M. and ROCCA, M. (2022). Enhancing deep learning algorithm accuracy and stability using multicriteria optimization: an application to distributed learning with MNIST digits. Annals of Operations Research.
KUNZE, H., LA TORRE, D. and MARSIGLIO, S. (2022). Sustainability and spatial spillovers in a multicriteria macroeconomics model. Annals of Operations Research, 311, pp. 1067–1084.
KUNZE, H. and 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. and 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.
LA TORRE, D., LIUZZI, D., MAGGISTRO, R. and MARSIGLIO, S. (2022). Mobility Choices and Strategic Interactions in a Two-Group Macroeconomic-Epidemiological Model. Dynamic Games and Applications, 12, pp. 110-132.
LI, D., LA TORRE, D. and 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. and 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. and VRSCAY, E. (2021). Optimization of structural similarity in mathematical imaging. Optimization and Engineering, 22, pp. 2367-2401.
URBANIAK, I.A., KUNZE, A., LI, D., LA TORRE, D. and 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.
LA TORRE, D., MARSIGLIO, S., MENDIVIL, F. and 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.
KHAN, F. and 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., LIUZZI, D. and MARSIGLIO, S. (2021). Transboundary pollution externalities: Think globally, act locally? Journal of Mathematical Economics, 96, pp. 102511.
LA TORRE, D., BEN ABDELAZIZ, F. and 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. and 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. and 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. and 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. and 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. and 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. and MARSIGLIO, S. (2020). A note on optimal debt reduction policies. Macroeconomic Dynamics, 24(7), pp. 1850-1860.
COLAPINTO, C., JAYARAMAN, R., BEN ABDELAZIZ, F. and 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. and 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. and ZOPOUNIDIS, C. (2020). Multidimensional Finance, Insurance and Investment. International Transactions in Operational Research, 27(5), pp. 2689-2690.
LA TORRE, D., LIUZZI, D. and MARSIGLIO, S. (2019). Population and geography do matter for sustainable development. Environment and Development Economics, 24(2), pp. 201-223.
LA TORRE, D., MENDIVIL, F., MARSIGLIO, S. and PRIVILEGGI, F. (2019). A stochastic economic growth model with health capital and state-dependent probabilities. Chaos, Solitons, and Fractals, 129, pp. 81-93.
COLAPINTO, C., LA TORRE, D. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and PRIVILEGGI, F. (2018). Fractal attractors in economic growth models with random pollution externalities. Chaos: An Interdisciplinary Journal of Nonlinear Science, 28(5).
LA TORRE, D., MARSIGLIO, S., MENDIVIL, F. and 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.
JAYARAMAN, R., COLAPINTO, C., LIUZZI, D. and 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. and 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. and 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. and 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. and 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. and VRSCAY, E. (2016). Iterated Function Systems On Functions Of Bounded Variation. Fractals, 24(2), pp. 1650019.
BERENGUER, M.I., KUNZE, H., LA TORRE, D. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and LA TORRE, D. (2014). Financial Portfolio Management through Goal Programming: State-of-the-art. European Journal of Operational Research, 234(2), pp. 536-545.
FORSTER, M., LA TORRE, D. and LAMBERT, P. (2014). Optimal control of inequality under uncertainty. Mathematical Social Sciences, 68, pp. 53-59.
PERTILE, P., FOSTER, M. and LA TORRE, D. (2014). Optimal bayesian sequential sampling rules for the economic evaluation of health technologies. Journal of the Royal Statistical Society, Series A, 177(2), pp. 419-438.
LA TORRE, D. and MENDIVIL, F. (2013). A Chaos game algorithm for generalized iterated function systems. Applied Mathematics & Computations, 224, pp. 238-249.
ANITA, S., CAPASSO, V., KUNZE, H. and LA TORRE, D. (2013). Optimal control and long-run dynamics for a spatial economic growth model with physical capital accumulation and pollution diffusion. Applied Mathematics Letters, 26(8), pp. 908-912.
AOUNI, B., COLAPINTO, C. and LA TORRE, D. (2013). A cardinality constrained goal programming model with satisfaction function for venture capital investment decision making. Annals of Operations Research, 205, pp. 77-88.
MARSIGLIO, S. and LA TORRE, D. (2012). A note on demographic shocks in a multi-sector growth model. Economics Bulletin, 32(2), pp. 2293-2299.
AOUNI, B., BEN ABDELAZIZ, F. and LA TORRE, D. (2012). The Stochastic Goal Programming Model: Theory and Applications. Journal of Multi-Criteria Decision Analysis, 19(5-6), pp. 185-200.
MARSIGLIO, S. and LA TORRE, D. (2012). Population growth and utilitarian criteria in the Lucas-Uzawa model. Economic Modelling, 29(4), pp. 1197-1204.
BUCCI, A., FLORIO, M. and LA TORRE, D. (2012). Government spending and growth in second-best economies. Economic Modelling, 29(3), pp. 654-663.
BUCCI, A., COLAPINTO, C., FORSTER, M. and LA TORRE, D. (2011). Stochastic technology shocks in an extended Uzawa–Lucas model: closed-form solution and long-run dynamics. Journal of Economics, 103, pp. 83-99.
LA TORRE, D., POPOVICI, N. and ROCCA, M. (2011). A note on explicitly quasiconvex set-valued maps. Journal of Nonlinear and Convex Analysis, 12(1), pp. 113-118.
CAPASSO, V., ENGBERS, R. and LA TORRE, D. (2010). On a spatial Solow model with technological diffusion and nonconcave production function. Nonlinear Analysis: Real World Applications, 11(5), pp. 3858-3876.
LA TORRE, D. and MARSIGLIO, S. (2010). Endogenous technological progress in a multi-sector growth model. Economic Modelling, 27(5), pp. 1017-1028.
LA TORRE, D. and POPOVICI, N. (2010). Arcwise cone-quasiconvex multicriteria optimization. Operations Research Letters, 38(2), pp. 143-146.
LA TORRE, D., POPOVICI, N. and ROCCA, M. (2010). Scalar characterizations of weakly cone-convex and weakly cone-quasiconvex functions. Nonlinear Analysis, 72(3-4), pp. 1909-1915.
LA TORRE, D., VRSCAY, E., IBRAHIMI, E. and BARNSLEY, M. (2009). Measure-Valued Images, Associated Fractal Transforms, and the Affine Self-Similarity of Images. SIAM Journal on Imaging Science, 2(2), pp. 470-507.