Michel Bierlaire

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Full Professor

michel.bierlaire@epfl.ch +41 21 693 25 37 http://transp-or.epfl.ch/personnal.php?Person=BIERLAIRE

Citizenship : Belgium & Switzerland

Birth date : 09.02.1967

EPFL ENAC IIC TRANSP-OR
GC B2 386 (Bâtiment GC)
Station 18
CH-1015 Lausanne

Web site: Web site: https://transp-or.epfl.ch/

EPFL ENT-I TRACE
GC B2 386 (Bâtiment GC)
Station 18
CH-1015 Lausanne

Web site: Web site: https://transport.epfl.ch/

EPFL ENAC GIS-GE
GC B2 386 (Bâtiment GC)
Station 18
CH-1015 Lausanne

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Administrative data

Fields of expertise

Transportation analysis 
Operations Research 
Discrete choice models 
Nonlinear optimization 


Professional course

Full Professor

Transport and Mobility Laboratory

School of Architecture, Civil and Environmental Engineering, Ecole Polytechnique F�d�rale de Lausanne

2012-present

Associate Professor

Transport and Mobility Laboratory, School of Architecture, Civil and Environmental Engineering

Ecole Polytechnique F�d�rale de Lausanne

2006-2012

Ma�tre d'enseignement et de recherche

Operations Research Group ROSO

Ecole Polytechnique F�d�rale de Lausanne

1998-2006

Research Associate - Project Manager

Intelligent Transportation Systems Program

Massachusetts Institute of Technology

1995-1998

Research Assistant

Transportation Research Group

Facult�s Universitaires Notre-Dame de la Paix (University of Namur), Belgium

1988-1995


Education

Ph.D. in Mathematical Sciences

Mathematical models for transportation demand analysis

Facultes Universitaires Notre-Dame de la Paix, Namur, Belgium

1996

Publications

Infoscience publications

Teaching & PhD

Teaching

Civil Engineering

PhD Programs

Doctoral Program in Electrical Engineering

Doctoral Program in Civil and Environmental Engineering

Courses

Introduction to optimization and operations research

(Coursebook not yet approved by the section)

Mathematical modelling of behavior

MOOC

1. Introduction and examples

2. Choice theory

3. Binary choice

4. Multinomial choice

5. Specification testing

6. Prediction

Ex cathedra lectures

7. Nested Logit model

8. Multivariate extreme Value models

9. Sampling

10. Mixed models.

11. Choice models with latent variables.

12. Discrete choice and ma


Optimization and simulation

Master state-of-the art methods in optimization with heuristics and simulation. Work involves: - reading the material beforehand - class hours to discuss the material and solve problems - homework

Winter School on Optimization and Operations Research (I)

The objective of the Winter School is to expose the audience to modern topics on Optimization and Operations Research. Every year, two prominent researchers are invited to provide tutorials on selected topics, and to discuss some of their recent research with the students.

Winter School on Optimization and Operations Research (II)

The objective of the Winter School is to expose the audience to modern topics on Optimization and Operations Research. Every year, two prominent researchers are invited to provide tutorials on selected topics, and to discuss some of their recent research with the students.

Chantier urbain : perception, gouvernance, usages

(Coursebook not yet approved by the section)