Ettore Lanzarone


Ongoing Projects

Fab@Hospital-IMATI

FHfFC

nanoTWICE-IMATI MI

sPATIALS3 - Attività IMATI

TAILOR

I-ZEB

Fab@Hospital

nanoTWICE


Publications

2023, Journal article
Energy-efficient control in multi-stage production lines with parallel machine workstations and production constraints
A. Loffredo, N. Frigerio, E. Lanzarone, and A. Matta
Nowadays, the growing interest in industry for enhancing manufacturing processes sustainability is a major trend. One of the most supported strategies to increase the energy-efficiency of manufacturin...

CNR@People | DOI: 10.1080/24725854.2023.2168321
2022, Journal article
A Clustering Approach to Improve IntraVoxel Incoherent Motion Maps from DW-MRI Using Conditional Auto-Regressive Bayesian Model
Elisa Scalco, Alfonso Mastropietro, Giovanna Rizzo, and Ettore Lanzarone
The Intra-Voxel Incoherent Motion (IVIM) model allows to estimate water diffusion and perfusion-related coefficients in biological tissues using diffusion weighted MR images. Among the available appro...

CNR@People | DOI: 10.3390/app12041907
2022, Journal article
A First Route Second Assign decomposition to enforce continuity of care in home health care
N. Lahrichi, E. Lanzarone, and S. Yalcindag
Home health care (HHC) is a very popular service that plays an important role in reducing hospitalization costs and improving the quality of life for patients. Human resource planning is one of the mo...

CNR@People | DOI: 10.1016/j.eswa.2021.116442
2022, Journal article
Optimal robust search for parameter values of qualitative models of gene regulatory networks
L. Ironi and E. Lanzarone
Computational and mathematical models are a must for the in silico analysis or design of Gene Regulatory Networks (GRN) as they offer a theoretical context to deeply address biological regulation. We ...

CNR@People | DOI: 10.1109/TCBB.2020.3006920
2021, Journal article
A discrete-event simulation model for analysing and improving operations in a blood donation centre
M. Doneda, S. Yalcindag, I. Marques, and E. Lanzarone
Background and objectives: Healthcare systems require effective and efficient blood donation supply chains to provide an adequate amount of whole blood and blood components to hospitals and transfusio...

CNR@People | DOI: 10.1111/vox.13111
2021, Journal article
Energy-efficient control policy for parallel and identical machines with availability constraint
A. Loffredo, N. Frigerio, E. Lanzarone, and A. Matta
Energy efficiency is becoming a key subject in manufacturing, especially if related to the major environmental impact of machining activities. Nowadays, great research efforts are performed to find ne...

CNR@People | DOI: 10.1109/LRA.2021.3085169
2020, Journal article
A novel bayesian approach with conditional autoregressive specification for intravoxel incoherent motion diffusion-weighted MRI
Lanzarone, Ettore; Mastropietro, Alfonso; Scalco, Elisa; Vidiri, Antonello; Rizzo, Giovanna
The Intra-Voxel Incoherent Motion (IVIM) model is largely adopted to estimate slow and fast diffusion coefficients of water molecules in biological tissues, which are used in cancer applications. The ...

CNR@People | DOI: 10.1002/nbm.4201
2020, Journal article
A recursive simulation-optimization framework for the ambulance location and dispatching problem
V. Belanger, E. Lanzarone, V. Nicoletta, A. Ruiz, and P. Soriano
This study addresses the Ambulance Location and Dispatching Problem (ALDP), which jointly determines the location of available ambulances and their dispatching policy. The latter takes the form of a d...

CNR@People | DOI: 10.1016/j.ejor.2020.03.041
2020, Journal article
A robust cardinality-constrained model to address the machine loading problem
G. Lugaresi, E. Lanzarone, N. Frigerio, and A. Matta
Several deterministic models have been proposed in the literature to solve the machine loading problem (MLP), which considers a set of product types to be produced on a set of machines using a set of ...

CNR@People | DOI: 10.1016/j.rcim.2019.101883
2020, Journal article
A stochastic risk-averse framework for blood donation appointment scheduling under uncertain donor arrivals
S. Yalcindag, S.B. Gure, G. Carello, and E. Lanzarone
Blood is a key resource in all health care systems, usually drawn from voluntary donors. We focus on the operations management in blood collection centers, which is a key step to guarantee an adequate...

CNR@People | DOI: 10.1007/s10729-020-09508-2
2020, Journal article
An optimization tool to dimension innovative home health care services with devices and disposable materials
F. Regis-Hernandez, G. Carello, and E. Lanzarone
Home health care (HHC) consists of care services provided to patients at their domicile rather than in hospitals or other health facilities. HHC human resources are largely studied in the optimization...

CNR@People | DOI: 10.1007/s10696-019-09339-6
2019, Journal article
A Bayesian approach for the identification of patient-specific parameters in a dialysis kinetic model
C. Bianchi, E. Lanzarone, G. Casagrande, and M.L. Costantino
Hemodialysis is the most common therapy to treat renal insufficiency. However, notwithstanding the recentimprovements, hemodialysis is still associated with a non-negligible rate of comorbidities, whi...

CNR@People | DOI: 10.1177/0962280217745572
2019, Journal article
A comminution model with homogeneity and multiplication assumptions for the Waste Electrical and Electronic Equipment recycling industry
M. Diani, A. Pievatolo, M. Colledani, and E. Lanzarone
Sustainable circular economy is introducing new industrial challenges, including recycling, to move from the cradle-to-grave paradigm to the innovative cradle-to-cradle concept. The core of several re...

CNR@People | DOI: 10.1016/j.jclepro.2018.11.084
2018, Journal article
A compliant aortic model for in vitro simulations: Design and manufacturing process
S. Marconi, E. Lanzarone, G.H.W. van Bogerijen, M. Conti, F. Secchi, S. Trimarchi, and F. Auricchio
We design and manufacture a silicone model of the human aorta, able to mimic both the geometrical and the mechanical properties of physiological individuals, with a specific focus on reproducing the c...

CNR@People | DOI: 10.1016/j.medengphy.2018.04.022
2018, Journal article
A model-based tool for the analysis and design of gene regulatory network
L. Ironi and E. Lanzarone
Computational and mathematical models have significantly contributed to the rapid progress in the study of gene regulatory networks (GRN), but researchers still lack a reliable model-based framework f...

CNR@People | DOI: 10.1109/TCBB.2017.2716942
2018, Journal article
An appointment scheduling framework to balance the production of blood units from donation
S. Bas, G. Carello, E. Lanzarone, and S. Yalcindag
Blood is fundamental in several care treatments and surgeries, and plays a crucial role in the health care system. It is a limited resource, as it can be produced only by donors and its shelf life is ...

CNR@People | DOI: 10.1016/j.ejor.2017.08.054
2018, Journal article
Applying functional principal components to structural topology optimization
G. Alaimo, F. Auricchio, I. Bianchini, and E. Lanzarone
Structural topology optimization aims to enhance the mechanical performance of a structure while satisfying some functional constraints. Nearly all approaches proposed in the literature are iterative,...

CNR@People | DOI: 10.1002/nme.5801
2018, Journal article
Trade-off between stakeholders' goals in the home care nurse-to-patient assignment problem
G. Carello, E. Lanzarone, and S. Mattia
Three stakeholders are involved in health care services: patients, operators and service provider managers. They usually have conflicting needs: patients aim at obtaining good quality of service, oper...

CNR@People | DOI: 10.1016/j.orhc.2017.12.002
2018, Journal article
Unaddressed problems and research perspectives in scheduling blood collection from donors
S. Bas Gure, G. Carello, E. Lanzarone, and S. Yalcindag
Many optimisation problems arise in managing the Blood Donation (BD) supply chain. Most of them have been addressed in the literature, while other problems, e.g. donation scheduling, have not been suf...

CNR@People | DOI: 10.1080/09537287.2017.1367860
2017, Journal article
A Bayesian estimation approach for the mortality in a stage-structured demographic model
E. Lanzarone, S. Pasquali, G. Gilioli, and E. Marchesini
Control interventions in sustainable pest management schemes are set according tothe phenology and the population abundance of the pests. This information can beobtained using suitable mathematical mo...

CNR@People | DOI: 10.1007/s00285-017-1099-4
2017, Journal article
A multi-user tool for enhancing the daily replanning and control of visits in home care services
E. Lanzarone, C. Masclet, and F. Noël
The uncertainty associated with patients' demands and operators' availabilities is the main complexity factor in planning health care activities. Thus, activity replanning is required to react to the ...

CNR@People | DOI: 10.1080/09537287.2016.1248869
2017, Journal article
A novel insight into the role of entry tears in type B aortic dissection: Pressure measurements in an in vitro model
S. Marconi, E. Lanzarone, H. De Beaufort, M. Conti, S. Trimarchi, and F. Auricchio
Predicting aortic growth in acute type B dissection is fundamental in planning interventions. Several factors are considered to be growth predictors in the literature and, among them, size and locatio...

CNR@People | DOI: 10.5301/ijao.5000627
2017, Journal article
A regression method based on non-invasive clinical data to predict the mechanical behavior of ascending aorta aneurysmal tissue
F. Auricchio, A. Ferrara, E. Lanzarone, S. Morganti, and P. Totaro
Ascending aorta aneurysms represent a severelife-threatening condition associated with asymptomatic risk ofrupture. Prediction of aneurysm evolution and rupture is oneof the hottest investigation topi...

CNR@People | DOI: 10.1109/TBME.2016.2645762
2017, Journal article
Bayesian joint modelling of the health profile and demand of home care patients
R. Argiento, A. Guglielmi, E. Lanzarone, and I. Nawajah
The estimation of uncertain future patient demands is a key factor for the appropriate planning of human and material resources in health care facilities, where unplanned demand variations may impact ...

CNR@People | DOI: 10.1093/imaman/dpw001
2017, Journal article
Changes in aortic pulse wave velocity of four thoracic aortic stent grafts in an ex vivo porcine model
H.W.L. De Beaufort, M. Coda, M. Conti, T.M.J. Van Bakel, F.J.K. Nauta, E. Lanzarone, F.L. Moll, J.A. Van Herwaarden, F. Auricchio, and S. Trimarchi
Thoracic endovascular aortic repair (TEVAR) has been shown to lead to increased aortic stiffness. The aim of this study was to investigate the effect of stent graft type and stent graft length on aort...

CNR@People | DOI: 10.1371/journal.pone.0186080
2017, Journal article
Defect detection in SEM images of nanofibrous materials
D. Carrera, F. Manganini, G. Boracchi, and E. Lanzarone
Nanoproducts represent a potential growing sector and nanofibrous materials are widely requested in industrial, medical, and environmental applications. Unfortunately, the production processes at the ...

CNR@People | DOI: 10.1109/TII.2016.2641472
2017, Journal article
Defect minimization and feature control in electrospinning through design of experiments
M. Borrotti, E. Lanzarone, F. Manganini, S. Ortelli, A. Pievatolo, and C. Tonetti
Electrospinning is affected by high variability, and an accurate setting of process parameters is fundamental for producing high quality nanofibers. This work aims at determining the optimal values of...

CNR@People | DOI: 10.1002/app.44740
2017, Journal article
Stent graft deployment increases aortic stiffness in an ex-vivo porcine model
H.W.L. de Beaufort, M. Conti, A.V. Kamman, F.J.H. Nauta, E. Lanzarone, F.L. Moll, J.A. van Herwaarden, F. Auricchio, and S. Trimarchi
Aortic stiffness is an independent predictor of cardiovascular mortality. In this study, the effect of thoracic endovascular aortic repair (TEVAR) on aortic stiffness is investigated by measuring aort...

CNR@People | DOI: 10.1016/j.avsg.2017.04.024
2016, Journal article
A Bayesian framework for describing and predicting the stochastic demand of home care patients
R. Argiento, A. Guglielmi, E. Lanzarone, and I. Nawajah
Home care providers are complex structures which include medical, paramedical and social services delivered to patients at their domicile. High randomness affects the service delivery, mainly in terms...

CNR@People | DOI: 10.1007/s10696-014-9200-4
2015, Journal article
A clinically applicable stochastic approach for noninvasive estimation of aortic stiffness using computed tomography data
F. Auricchio, M. Conti, A. Ferrara, and E. Lanzarone
The degeneration of the vascular wall tissue induces a change of the arterial stiffness, i.e., the capability of the vessel to distend under the pulsatile hemodynamic load. In the literature, the aort...

CNR@People | DOI: 10.1109/TBME.2014.2343673
2015, Journal article
A particle-filtering approach for real-time estimation of thermal conductivity and temperature tracking in homogeneous masses
L. Martin-Fernandez and E. Lanzarone
Knowledge of the thermal conductivity is a key factor for several applications, which benefits from easy and cheap estimation procedures. We consider an existing experimental layout, and we propose a ...

CNR@People | DOI: 10.1080/10407790.2014.992060
2015, Journal article
Efficient uncertainty quantification in stochastic finite element analysis based on functional principal components
I. Bianchini, R. Argiento, F. Auricchio, and E. Lanzarone
The great influence of uncertainties on the behavior of physical systems has always drawn attention to the importance of a stochastic approach to engineering problems. Accordingly, in this paper, we a...

CNR@People | DOI: 10.1007/s00466-015-1185-7
2015, Journal article
Handling uncertainty in health care management using the cardinality-constrained approach: Advantages and remarks
B. Addis, G. Carello, A. Grosso, E. Lanzarone, S. Mattia, and E. Tànfani
Different approaches have been proposed in the literature to handle uncertain parameters in health care optimisation problems. Among them, the cardinality-constrained approach to robust optimisationse...

CNR@People | DOI: 10.1016/j.orhc.2014.10.001
2014, Journal article
A cardinality-constrained robust model for the assignment problem in Home Care services
G. Carello and E. Lanzarone
Home Care includes medical, paramedical and social services which are delivered to patients at their domicile rather than in hospital. Managing human and material resources in Home Care services is a ...

CNR@People | DOI: 10.1016/j.ejor.2014.01.009
2014, Journal article
A Rao-Blackwellized particle filter for joint parameter estimation and biomass tracking in a stochastic predator-prey system
L. Martin-Fernandez, G. Gilioli, E. Lanzarone, J. Miguez, S. Pasquali, F. Ruggeri, and D.P. Ruiz
Functional response estimation and population tracking in predator-prey systems are critical problems in ecology. In this paper we consider a stochastic predator-prey system with a Lotka-Volterra func...

CNR@People | DOI: 10.3934/mbe.2014.11.573
2014, Journal article
Assigning probabilities to qualitative dynamics of gene regulatory networks
L. Ironi and E. Lanzarone
Mathematical and computational modeling frameworks play the leading role in the analysis and prediction of the dynamics of gene regulatory networks. The literature abounds in various approaches, all o...

CNR@People | DOI: 10.1007/s00285-014-0765-z
2014, Journal article
Bayesian estimation of thermal conductivity and temperature profile in a homogeneous mass
E. Lanzarone, S. Pasquali, V. Mussi, and F. Ruggeri
International standards propose several methods for measuring thermal conductivity; however, they often require expensive experimental layouts and marginally consider the uncertainty in the estimation...

CNR@People | DOI: 10.1080/10407790.2014.922848
2014, Journal article
Robust nurse-to-patient assignment in home care services to minimize overtimes under continuity of care
E. Lanzarone and A. Matta
Home Care (HC) providers are complex organizations that manage a large number of patients, different categories of operators, support staff and material resources in a context affected by high variabi...

CNR@People | DOI: 10.1016/j.orhc.2014.01.003
2013, Journal article
Inertance estimation in a lumped-parameter hydraulic simulator of human circulation
E. Lanzarone, and F. Ruggeri
Pulsatile mock loop systems are largely used to investigate the cardiovascular system in vitro. They consist of a pump, which replicates the heart, coupled with a lumped-parameter hydraulic afterload,...

CNR@People | DOI: 10.1115/1.4024138
2012, Journal article
A cost assignment policy for home care patients
E. Lanzarone and A. Matta
The patient assignment problem in Home care (HC) consists of allocating each newly admitted patient to his/her reference operator, chosen among a set of possible operators. The continuity of care, whe...

CNR@People | DOI: 10.1007/s10696-011-9121-4
2012, Journal article
Operations management applied to home care services: the problem of assigning human resources to patients
E. Lanzarone, A. Matta, and E. Sahin
In recent years, home care (HC) service systems have been developed as alternatives to conventional hospitalization. Many resources are involved in delivering HC service, including different categorie...

CNR@People | DOI: 10.1109/TSMCA.2012.2210207
2019, Essay or book chapter
Hospital Factory for Manufacturing Customised, Patient-Specific 3D Anatomo-Functional Models and Prostheses
Ettore Lanzarone, Stefania Marconi, Michele Conti, Ferdinando Auricchio, Irene Fassi, Francesco Modica, Claudia Pagano, and Golboo Pourabdollahian
The fabrication of personalised prostheses tailored on each patient is oneof the major needs and key issues for the future of several surgical specialties. Moreover,the production of patient-specific ...

CNR@People | DOI: 10.1007/978-3-319-94358-9_11
2019, Essay or book chapter
Monitoring systems of an electrospinning plant for the production of composite nanofibers
L. Bonura, G. Bianchi, D.O. Sanchez Ramirez, R.A. Carletto, A. Varesano, C. Vineis, C. Tonetti, G. Mazzuchetti, E. Lanzarone, S. Ortelli, A.L. Costa, M. Blosi
Electrospinning is a versatile and promising technology for the productionof polymer-based nanofibres. Composite nanofibres suitable for filtration of air andwater have been developed by merging biopo...

CNR@People | DOI: 10.1007/978-3-319-94358-9_15
2012, Essay or book chapter
The nurse-to-patient assignment problem in Home Care services
E. Lanzarone and A. Matta
The nurse-to-patient assignment problem in Home Care (HC) under continuity of care consists of allocating each newly admitted patient to only one reference nurse, without changing the assignment for a...

CNR@People | DOI: 10.1007/978-88-470-2321-5_8
2022, Conference proceedings
Energy-efficient control of parallel and identical machines: Impact on the overall production system
A. Loffredo, N. Frigerio, E. Lanzarone, M. Ghassempouri, and A. Matta
Nowadays, manufacturing industries are increasing their interest in the energy-efficiency topic, mostly due to the major environmental impact of machining activities. Manufacturing processes sustainab...

CNR@People | DOI: 10.1016/j.procir.2022.02.123
2020, Conference proceedings
Uncertainty in the blood donation appointment scheduling: Key factors and research perspectives
Ettore Lanzarone and Semih Yalç?ndag
We consider the management of a blood collection center, which includes the features of both a production system and a service provider. In particular, we analyze the scheduling of donors and the rela...

CNR@People | DOI: 10.1007/978-3-030-39694-7_23
2019, Conference proceedings
A conditional autoregressive model for estimating slow and fast diffusion from magnetic resonance images
E. Lanzarone, E. Scalco, A. Mastropietro, S. Marzi, and G. Rizzo
The Intra-Voxel Incoherent Motion (IVIM) model is largely adopted to estimate slow and fast diffusion parameters of water molecules in biological tissues, which are used as biomarkers for different di...

CNR@People | DOI: 10.1007/978-3-030-30611-3_14
2019, Conference proceedings
A recursive optimization-simulation approach for the ambulance location and dispatching problem
E. Lanzarone, E. Galluccio, V. Belanger, V. Nicoletta, and A. Ruiz
The Ambulance Location and Dispatching Problem (ALDP) identifies the location of the available ambulances and the best dispatching policy to minimize the response times to answer the calls. However, t...

CNR@People | DOI: 10.1109/WSC.2018.8632522
2019, Conference proceedings
A variable neighborhood search for home care scheduling under chargeable overtime and preference matching
Y. Zhu, A. Matta, E. Lanzarone, and N. Geng
This paper addresses a home care (HC) scheduling problem faced by a real provider working in New York City area, USA. HC scheduling is an extension of vehicle routing problem with specific constraints...

CNR@People | DOI: 10.1109/COASE.2019.8843276
2018, Conference proceedings
A data-driven districting to improve emergency medical service systems
F. Regis-Hernandez, E. Lanzarone, V. Belanger, and A. Ruiz
Emergency Medical Services (EMS) are responsible of providing medical assistance to any person who requires it in case of emergency, with the main goal of reducing the response time. To do so, several...

CNR@People | DOI: 10.1016/j.ifacol.2018.08.477
2018, Conference proceedings
A Fix-and-Optimize Variable Neighborhood Search for the Biomedical Sample Transportation Problem
M. Toschi, E. Lanzarone, A.M. Anaya-Arenas, V. Belanger, V. Nicoletta, and A. Ruiz
Biomedical tests play a crucial role in helping physicians to make accurate diagnoses. To perform these tests, thousands of samples are daily transported from several healthcare facilities, where they...

CNR@People | DOI: 10.1016/j.ifacol.2018.08.478
2018, Conference proceedings
A recursive optimization-simulation approach for the ambulance location and dispatching problem
E. Lanzarone, E. Galluccio, V. Belanger, V. Nicoletta, and A. Ruiz
The Ambulance Location and Dispatching Problem (ALDP) identifies the location of the available ambulances and the best dispatching policy to minimize the response times to answer the calls. However, t...

CNR@People | DOI: 10.1109/WSC.2018.8632522
2018, Conference proceedings
Complexity reduction of Model Predictive Control for a de-manufacturing plant
A. Cataldo, E. Lanzarone, M. Morescalchi, and R. Scattolini
The use of advanced optimization-based techniques will be a fundamental step towards performance enhancement of flexible manufacturing plants. However, the mixed integer nature of the resulting optimi...

CNR@People | DOI: 10.1016/j.ifacol.2018.08.299
2017, Conference proceedings
A Bayesian model for describing and predicting the stochastic demand of emergency calls
V. Nicoletta, E. Lanzarone, A. Guglielmi, V. Bélanger, and A. Ruiz
Emergency Medical Service (EMS) systems aim at providing immediate medical care in case of emergency. A careful planning is a major prerequisite for the success of an EMS system, in particular to redu...

CNR@People | DOI: 10.1007/978-3-319-54084-9_19
2017, Conference proceedings
A cardinality-constrained approach for robust machine loading problems
G. Lugaresi, E. Lanzarone, N. Frigerio, and A. Matta
The Machine Loading Problem (MLP) refers to the allocation of operative tasks and tools to machines for the production of parts. Since the uncertainty of processing times might affect the quality of t...

CNR@People | DOI: 10.1016/j.promfg.2017.07.298
2017, Conference proceedings
A cardinality-constrained robust approach for the ambulance location and dispatching problem
V. Nicoletta, E. Lanzarone, V. Belanger, and A. Ruiz
Emergency Medical Services (EMS) systems aim to provide immediate care in case of emergency. A careful planning is a major prerequisite for the success of an EMS system, in particular to reduce the re...

CNR@People | DOI: 10.1007/978-3-319-66146-9_9
2017, Conference proceedings
A new decomposition approach for the home health care problem
N. Lahrichi, E. Lanzarone, and S. Yalcindag
Home Health Care (HHC) is a relatively new service that plays an importantrole to reduce hospitalization costs and improve the life quality for patients.Human resource planning is one of the most impo...

CNR@People | DOI: 10.1007/978-3-319-66146-9_3
2017, Meeting abstracts
Bayesian identification of patient-specific parameters in a dialysis kinetic model
C. Bianchi, E. Lanzarone, G. Casagrande, and M. Costantino
N/A

CNR@People | DOI: 10.5301/ijao.5000629
2017, Conference proceedings
Handling time-related demands in the home care nurse-to-patient assignment problem with the implementor-adversarial approach
G. Carello, E. Lanzarone, D. Laricini, and M. Servilio
The nurse-to-patient assignment is one of the main decisions in planningHome Care (HC) services under continuity of care. In the literature, this problemhas been tackled with several approaches to tak...

CNR@People | DOI: 10.1007/978-3-319-66146-9_8
2017, Conference proceedings
Identification of patient-specific parameters in a kinetic model of fluid and mass transfer during dialysis
C. Bianchi, E. Lanzarone, G. Casagrande, and M.L. Costantino
Hemodialysis (HD) is nowadays the most common therapy to treat renal insufficiency. However, despite the improvements made in the last years, HD is still associated with a non-negligible rate of co-mo...

CNR@People | DOI: 10.1007/978-3-319-54084-9_13
2016, Conference proceedings
A discrete event simulation model for the admission of patients to a home care rehabilitation service
A. Maroufkhani, E. Lanzarone, C. Castelnovo, and M.D. Mascolo
The admission of new patients to Home Care (HC) services is a relevant problem, which requires managing waiting lists while respecting a maximum admissible period between patient's request and service...

CNR@People | DOI: 10.1007/978-3-319-35132-2_9
2016, Conference proceedings
Management of blood donation system: Literature review and research perspectives
S. Bas, G. Carello, E. Lanzarone, Z. Ocak, and S. Yalcindag
Applying optimization methods to healthcare management and logistics is a developing research area with numerous studies. Specifically, facility location, staff rostering, patient allocation, and medi...

CNR@People | DOI: 10.1007/978-3-319-35132-2_12
2015, Conference proceedings
Bayesian estimation of the aortic stiffness based on non-invasive computed tomography images
E. Lanzarone, F. Auricchio, M. Conti, and A. Ferrara
Aortic diseases are one relevant cause of death inWestern countries. They involve significant alterations of the aortic wall tissue, with consequent changes in the stiffness, i.e., the capability of t...

CNR@People | DOI: 10.1007/978-3-319-16238-6_12
2015, Conference proceedings
Bayesian filtering for thermal conductivity estimation given temperature observations
L. Martin-Fernandez and E. Lanzarone
International standards often require complex experimental layouts to estimate the thermal conductivity of materials, and they marginally take into account the uncertainty in the estimation procedure....

CNR@People | DOI: 10.1007/978-3-319-16238-6_13
2014, Conference proceedings
Applying the cardinality-constrained approach in health care systems: the home care example
E. Lanzarone and G. Carello
Many approaches are applied to deal with uncertainty in health care optimization problems. However, a recently proposed technique, namely, the cardinality-constrained approach, is only marginally appl...

CNR@People | DOI: 10.1007/978-3-319-01848-5_5
2014, Conference proceedings
Bayesian analysis and prediction of patients' demands for visits in home care
R. Argiento, A. Guglielmi, E. Lanzarone, and I. Nawajah
Home care (HC) providers are complex structures which include medical, paramedical, and social services delivered to patients at their domicile. High randomness affects the service delivery, mainly in...

CNR@People | DOI: 10.1007/978-3-319-02084-6__25
2014, Conference proceedings
Joint parameter estimation and biomass tracking in a stochastic predator-prey system
L. Martín-Fernández, G. Gilioli, E. Lanzarone, J. Míguez, S. Pasquali, F. Ruggeri, and D.P. Ruiz
A Rao-Blackwellized particle filter for estimating the behavioral parameter of the functional response and tracking the biomass of each population in a stochastic predator-prey system is presented in ...

CNR@People | DOI: 10.1007/978-3-319-02084-6__6
2014, Conference proceedings
Joint prediction of demand and care duration in Home Care patients: a Bayesian approach
I. Nawajah, R. Argiento, A. Guglielmi, and E. Lanzarone
Home Care (HC) service is an alternative to conventional hospitalizationand consists of delivering medical, paramedical and social services to patients attheir homes rather than in hospitals or nursin...

CNR@People | Link
2014, Conference proceedings
Qualitative assessment of a collaborative multi-user tool for enhancing the daily replanning and control of visits in home care services
E. Lanzarone, C. Masclet, and F. Noël
Home Care (HC) refers to nurse visits and other services provided at patients' homes rather than in hospitals or other health facilities. Planning human resources in HC is a complex activity, which in...

CNR@People | DOI: 10.1109/CogInfoCom.2014.7020459
2013, Conference proceedings
Collaboration enhancement through tangible metaphors: Application to home care rescheduling
E. Lanzarone, C. Masclet, and F. Noël
Actors involved in synchronous collaboration activities usually need to exchange information in order to make decisions. Collaboration is often expected, because of the need to discuss multiple views ...

CNR@People | DOI: 10.1109/CogInfoCom.2013.6719276
2013, Conference proceedings
Estimating patient demand progression in home care: a Bayesian modeling approach
I. Nawajah, R. Argiento, A. Guglielmi, and E. Lanzarone
Home Care (HC) service consists of providing care to patients at their own home, without the necessity of bringing them to hospitals or nursing homes. This service allows a high quality of life for th...

CNR@People | Link
2012, Conference proceedings
A robust optimization approach for the nurse-to-patient assignment problem in home care.
G. Carello, and E. Lanzarone
N/A

CNR@People
2012, Conference proceedings
A robust programming model for the assignment problem in home care services
E. Lanzarone, G. Carello, and A. Matta
N/A

CNR@People
2020, Curatorship of conference proceedings
Health Care Systems Engineering HCSE, Montréal, Canada, May 30 - June 1, 2019
V. Bélanger, N. Lahrichi, E. Lanzarone, and S. Yalç?nda?
This book presents the proceedings of the Fourth International Conference on Health Care Systems Engineering (HCSE 2019), which took place in Montreal, Canada, from May 30 to June 1, 2019. The event t...

CNR@People | DOI: 10.1007/978-3-030-39694-7
2017, Curatorship of conference proceedings
Bayesian Statistics in Action: BAYSM 2016, Florence, Italy, June 19-21
R. Argiento, E. Lanzarone, I. Antoniano Villalobos, and A. Mattei
This book is a selection of peer-reviewed contributions presented at the third Bayesian Young Statisticians Meeting, BAYSM 2016, Florence, Italy, June 19-21. The meeting provided a unique opportunity ...

CNR@People | DOI: 10.1007/978-3-319-54084-9
2014, Curatorship of books
Proceedings of the International Conference on Health Care Systems Engineering
A. Matta, J. Li, E. Sahin, E. Lanzarone, and J. Fowler
This volume features selected and peer-reviewed contributions from the InternationalConference on Health Care Systems Engineering (HCSE). This conferenceprovides an opportunity to discuss operations m...

CNR@People | DOI: 10.1007/978-3-319-01848-5
2014, Curatorship of conference proceedings
The contribution of young researchers to Bayesian statistics: Proceedings of BAYSM2013
E. Lanzarone and F. Ieva
This volume includes a selection from the contributions presented at the firstBayesian Young Statistician Meeting (BAYSM 2013). The conference was held atthe Institute of Applied Mathematics and Infor...

CNR@People | DOI: 10.1007/978-3-319-02084-6
2017, Working paper
Applying functional principal components to structural topology optimization
G. Alaimo, F. Auricchio, I. Bianchini, and E. Lanzarone
Structural Topology Optimization optimizes the mechanical performance of a structure whilesatisfying some functional constraints. Nearly all approaches proposed in the literatureare iterative, and the...

CNR@People | Link
2016, Working paper
Defect detection in nanostructures
D. Carrera, F. Manganini, G. Boracchi, and E. Lanzarone
Nanoproducts represent a potential growing sector and nano brous materials are widely requested in industrial,medical and environmental applications. Unfortunately, the production processes at the nan...

CNR@People | Link
2015, Project report
D11.1 - Project report detailing the control model and its validation against experimental data. Demonstration activities, Progetto Zero Waste PCBs (Protocollo ITIA n. 141 del 18/01/2013; Protocollo ITIA n. 165 del 31/01/2014.).
Colledani, M., Picone, N., Degiorgi, A., Critelli, I., Pievatolo, A., Lanzarone, E., Ruggeri, F., Brambilla, C., Borrotti, M.
Nel report sono descritte le attività di sviluppo di un modello di controllo per l'ottimizzazione dei parametri di funzionamento di un separatore elettrostatico (e.g. tensione dell'elettrodo, v...

CNR@People
2015, Project report
Fabbrica del Futuro NanoTwice D 5.1 - Description of the optimal electrospinning control system
E. Lanzarone, G. Bianchi, L. Bonura
This deliverable refers to WP5 of the Project: "Functional filtering media by controlled multi-jet electrospinning plant". In this WP, activity will be devoted to development of innovative optimal con...

CNR@People
2014, Technical report
Joint prediction of health status and demand for patient in home care services: a Bayesian approach
R. Argiento, A. Guglielmi, E. Lanzarone, and I. Nawajah
Estimation of uncertain future patients' demands is a key factor for appropriately planning human and material resources in health care facilities, where unplanned demand variations may deteriorate th...

CNR@People | Link
2013, Research report
ZeroWaste PCBs project D3.1: Report on shredding process modeling and simulation
A. Pievatolo, M. Colledani, S. Costa, E. Lanzarone, L. Martin Fernandez, F. Ruggeri, C. Brambilla, and G. Copani
In this report, we describe the current state of progress of WP3 (shredding process modelling and simulation)at the end of the first project year and its associated deliverable: An optimized stochasti...

CNR@People