Gianpiero Canessa

Gianpiero Canessa
KTH Royal Institute of Technology | KTH · Department of Mathematics (SCI-MAT)

Ph. D. in Industrial Engineering and Operation Research

About

11
Publications
1,565
Reads
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55
Citations
Citations since 2016
10 Research Items
50 Citations
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Introduction
My main interest is stochastic optimization since 2013, and recently got my Ph. D. in Industrial Engineering and Operation Research with the guidance of experts in the field at UAI, Chile. Currently, I'm a postdoc in KTH, with a special interest in stochastic topics which could be mixed with integer/binary programming and possible application in different fields.
Additional affiliations
March 2013 - present
Universidad Adolfo Ibáñez
Position
  • Part Time Teacher and Teaching Assistant
Description
  • OR related subjects teaching for undergraduates and TA for graduate OR subjects.
January 2013 - March 2014
Universidad Adolfo Ibáñez
Position
  • Research Assistant
Description
  • Worked primarily on the coding of the algorithm described in "Chance-constrained problems and rare events: an importance sampling approach".
Education
January 2011 - December 2012
Universidad Adolfo Ibáñez
Field of study
  • Operation Research

Publications

Publications (11)
Chapter
Full-text available
Production logistics has an important role as a chain that connects the components of the production system. The most important goal of production logistics plans is to keep the flow of the production system well. However, compared to the production system, the level of planning, management, and digitalization of the production logistics system is...
Preprint
Full-text available
Production logistics has an important role as a chain that connects the components of the production system. The most important goal of production logistics plans is to keep the flow of the production system well. However, compared to the production system, the level of planning, management, and digitalization of the production logistics system is...
Article
Full-text available
Este es un trabajo de carácter exploratorio que pretende impulsar una metodología de prospección arqueológica basada en la visión computacional para clasificar fotografías de objetos arqueológicos de pequeño tamaño en superficie. Para lograr esto, se le enseñó al sistema a reconocer restos arqueológicos por medio de una muestra de fotografías de de...
Article
Full-text available
The COVID-19 pandemic has caused great disruption to the service sector, and it has, in turn, adapted by implementing measures that reduce physical contact among employees and users; examples include home-office work and the setting of occupancy restrictions at indoor locations. The design of services in the context of a pandemic requires balancing...
Article
Full-text available
In this work, we consider a risk-averse ultimate pit problem where the grade of the mineral is uncertain. We derive conditions under which we can generate a set of nested pits by varying the risk level instead of using revenue factors. We propose two properties that we believe are desirable for the problem: risk nestedness, which means the pits gen...
Preprint
Full-text available
We investigate quasi-Newton methods for minimizing a strictly convex quadratic function which is subject to errors in the evaluation of the gradients. The methods all give identical behavior in exact arithmetic, generating minimizers of Krylov subspaces of increasing dimensions, thereby having finite termination. A BFGS quasi-Newton method is empir...
Preprint
Full-text available
Support vector machines (SVM) is one of the well known supervised classes of learning algorithms. Furthermore, the conic-segmentation SVM (CS-SVM) is a natural multiclass analogue of the standard binary SVM, as CS-SVM models are dealing with the situation where the exact values of the data points are known. This paper studies CS-SVM when the data p...
Article
Full-text available
The COVID-19 pandemic has caused great disruption to the service sector, which has in turn adapted by implementing measures that reduce physical distancing among employees and users; examples include home-office work and the setting of occupancy restrictions at indoor locations. The design of services in the context of a pandemic requires balancing...
Article
Full-text available
In 2000, Chile introduced profound health reforms to achieve a more equitable and fairer system (GES plan). The reforms established a maximum waiting time between diagnosis and treatment for a set of diseases, described as an opportunity guarantee within the reform. If the maximum waiting time is exceeded , the patient is referred to another (priva...
Article
Full-text available
We propose an algorithm based on infeasible irreducible subsystems (IIS) to solve binary linear chance-constrained problems with random technology matrix. By leveraging on the problem structure we are able to generate good quality upper bounds to the optimal value early in the algorithm, and the discrete domain is used to guide us efficiently in th...
Article
Full-text available
We study chance-constrained problems in which the constraints involve the probability of a rare event. We discuss the relevance of such problems and show that the existing sampling-based algorithms cannot be applied directly in this case, since they require an impractical number of samples to yield reasonable solutions. We argue that importance sam...

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Projects

Projects (2)
Project
We are developing and implementing prescriptive analytics tools in hospitals in Chile, focusing on scheduling patients in operating rooms.