:html> Fausto Errico
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Interuniversity Research Center on Enterprise Networks, Logistics and Transportation (CIRRELT)
École de technologie supériere de Montréal
Telephone: +1 514 396 8619
Office: A-2478
E-mail: fausto (dot) errico 'at' cirrelt (dot) ca
E-mail: fausto (dot) errico 'at' etsmtl (dot) ca


Fausto Errico

Fausto Errico

benders decomposition

Short bio:

September 2013
Assistant Professor.
Department of Construction Engineering, École de Technologie Supérieure de Montréal.
March 2012
Postdoctoral fellow at GERAD, Montreal, Canada. Project name: "Vehicle Routing Problems with Stochastic Service times".
Advisor: Guy Desaulniers.
June 2011 Postdoctoral fellow at CIRRELT, Montreal, Canada. Project name: "Solving planning and management problems in logistics networks under uncertainty."
Advisor: Walter Rei.
June 2009 Postdoctoral fellow at CIRRELT, Montreal, Canada. Project name: " Intelligent Transportation Systems for City Logistics" .
Advisor: Teodor Gabriel Crainic.
May 2008  PhD in Mathematical Engineering at "Politecnico di Milano", Italy. Supervisor:  Federico Malucelli.
March 2007 Main researcher for the INGENIO GRANT project  "A Flexible Transit System", Lombardia Regional Council, Italy.
June 2003 Master degree in Electronic Engineering, University of Ferrara, Italy.
Feb 2000 Master degree in Classical Guitar, Conservatorio "Girolamo Frescobaldi", Ferrara, Italy.

Research Interests:

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Publications :

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Supervision and available research projects

    Available research projects.

Research areas.
I am looking for talented Ph.D. students to work on a variety of projects related to the following main research areas:
•   Hydropower reservoir network management. The efficient management of reservoir water levels plays a prominent role in the production of hydroelectric power. One of the major objectives is to avoid unproductive water spills. In conditions of climatic changes and related increase of precipitation and temperature variability, a long-term water level management becomes extremely important to avoid water spills. However, due to the intrinsic complex dynamic of reservoir networks, together with data uncertainty and long-term planning horizon, such a planning activity is extremely challenging.
Semi-flexible Transit Systems (STSs). STSs are a family of transit services particularly suited to medium/low demand zones and periods providing demand-responsive service within the framework of regularly-scheduled transit. A STS operates along a basic path made up of compulsory stops according to a fixed, predetermined timetable, similar to traditional transit. Part of the STS service, however, is flexible, responding to user service requests at optional locations. In addition, STSs inject flexibility into operations by allocating additional time for the vehicle to deviate from the basic path and operate in demand-responsive mode. STS services received increasing interest in the last years and are now adopted by more than 40% of North American transit operators. STSs, combining characteristics of traditional and on-demand systems, require both a service-design phase, as well as adjustments of vehicle routes and schedules at operational level to accommodate users’ requests.
Electric vehicle routing under uncertainty. Battery-equipped Electric Vehicles (BEVs) are vehicles powered by a pure electric engine and a battery. Although BEVs are considered to have a higher potential to reduce GHG emissions (with respect to hybrid models), they present two main drawbacks de facto preventing their penetration in the vehicle market: a) the in-vehicle battery generally allows a limited driving range and b) the battery recharging infrastructure is currently too sparse and unevenly distributed. The consequent range anxiety felt by potential drivers represents one of the major obstacles to a larger diffusion of BEVs. This project aims to reduce the impact of the BEV limited driving range by efficiently planning battery-recharging operations along vehicle routes. This is done by studying several variants of the well-known Vehicle Routing Problem: the Electric Vehicle Routing Problem with Time Windows (EVRPTW).


Within each area, several projects can be chosen according to the student’s inclinations. However, candidates for all projects must fulfil the following basic requirements:
•    Hold an excellent master’s degree in operations research, applied mathematics, computer science or related fields,
•    Advanced skills in computer programming (C and C++) and good knowledge of linux/unix environments,
•    Comprehensive knowledge of combinatorial optimization techniques (linear programming, integer programming, dynamic programming, etc.),
•    Be fluent in English. Having a basic knowledge of French is advantageous, but not necessary.

How to apply.
Interested candidate should send by email an application package including the following documents:
•    A motivation letter of 1/2 pages
•    A Curriculum vitae
•    A copy of your Master’s thesis
•    The names and addresses of two references (one of them must be the Master’s thesis supervisor)
•    A complete list of courses attended at Bachelor and Master’s level, together with grades

Where you will work.
I’m professor at Civil Engineering department of École de technologie supérieure de Montréal, a fast-growing engineering school located at the heart of the city of Montréal. I also am member of the CIRRELT and GERAD, two among the leading centres in Operations Research on the international level. As student under my supervision, you will have access to their state-of-the-art computing facilities, as well as to an amazing scientific community. Co-supervisions with other members of CIRRELT/GERAD are possible.
Last, but not least, Montréal is one of the best cities where to live in North America.

   Current students

Master's level (with thesis):



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