E. Lanzarone. Addressing uncertainty in health care with the cardinality-constrained approach: a tradeoff between accuracy,
computational effort, and interaction with clinicians.
Plenary Tutorial Speaker at the 41st Conference on Operational Research Applied to Health Services (ORAHS 2015), Montréal, Canada, July 19-24, 2015.
Stochastic parameters estimation in dynamical systems from observations: general framework and applications.
First Joint International Meeting RSME-SCM-SEMA-SIMAI-UMI, Bilbao, Spain, July 2014.
Invited talk for session Model Order Reduction and Highly Demanding Applications. Abstract book; 299.
E. Lanzarone, S. Pasquali, V. Mussi, F. Ruggeri.
Bayesian estimation of thermal conductivity and temperature profile in homogeneous masses.
Eighth Workshop on Bayesian Inference in Stochastic Processes (BISP8). Invited young researcher (abstract BISP8.13).
E. Lanzarone, M.L. Costantino, G. Faggian.
Continuous vs pulsatile flow in CPB: NO production and its implications.
Invited lecture at ESAO winter school 2008; Cortina d'Ampezzo (Belluno, Italy), March 2008.
An implementor-adversary approach to consider uncertain and temporally correlated patient demands in the home health care robust nurse-to-patient assignment problem.
Seminar at the Technology Campus of KU Leuven, Ghent, Belgium, February 24, 2020.
KU Leuven at Ghent
Lumped parameter models of the cardiovascular system and design of an in-vitro mock loop circuit of the arterial circulation.
Seminar at the University of Pavia, Pavia, Italy, May 21, 2019.
A blood donation appointment scheduling.
Seminar at the Université Laval, Faculty of Business Administration, CIRRELT, Quebec, Canada, February 11, 2019.
Application of the cardinality-constrained approach to address problems in healthcare activities planning.
Seminar at the Université de Montréal, CIRRELT, Montréal, Canada, May 20, 2016.
CIRRELT Seminar at the Université Laval, Faculty of Business Administration, CIRRELT, Quebec, Canada, March 24, 2016.
Applying operations research from theory to practice: examples from health care services.
Seminar at the Yeditepe University, Industrial and Systems Engineering Department, Istanbul, Turkey, November 30 and December 1, 2015.
Bayesian reverse engineering approach to estimate parameters from observations in dynamical systems.
Seminar at the Shanghai Jiao Tong University, School of Mechanical Engineering, Shanghai, China, May 6, 2015.
Different approaches for a robust optimization of the home care services.
Seminar at the University of Nottingham, China Campus, Department of Mechanics Materials and Manufacturing Engineering, Ningbo, China, May 4, 2015.
Applying the cardinality-constrained approach in health care systems (standard two levels or more levels): the home care example.
Seminar at the Shanghai Jiao Tong University, School of Mechanical Engineering, Shanghai, China, April 28, 2015.
Robust approaches in optimization methods for health care delivery.
Seminar at the Yeditepe University, Industrial and Systems Engineering Department, Istanbul, Turkey, December 1, 2014.
Stochastic optimization methods for health care delivery: the home care example.
Seminar at the MOX Laboratory, Department of Mathematics, Politecnico di Milano, Milan, Italy, October 4, 2013.
Initiatives of the National Resarch Council of Italy.
First Industrial Conference on Artificial Intelligence and Health (ICAIH 2019) - round table 6: European and Italian initiatives in AI and health.
Regione Lombardia (Palazzo Pirelli), November 13 and 14, 2019.
E. Lanzarone, S. Marconi
Beta–Lab: Ruolo della Ricerca Traslazionale. I.R.C.C.S. Policlinico San Donato, March 11, 2014.