Alexandre Alahi

EPFL ENAC IIC VITA
GC C1 383 (Bâtiment GC)
Station 18
1015 Lausanne

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

EPFL ENAC IIC VITA
GC C1 383 (Bâtiment GC)
Station 18
1015 Lausanne

vCard
Administrative data

Fields of expertise

Transportation 
Mobility 
Computer Vision 
Machine Learning 
Deep Learning 
Human-Robot Interaction 
Socially-aware Artificial Intelligence 
Ambient Intelligence

Publications

Infoscience publications

Research

Teaching & PhD

Teaching

Civil Engineering

Courses

Introduction to machine learning for engineers

Machine learning is a sub-field of Artificial Intelligence that allows computers to learn from data, identify patterns and make predictions. As a fundamental building block of the Computational Thinking education at EPFL, Civil students will learn ML with civil case studies (summary generated by ML)

Deep learning for autonomous vehicles

Deep Learning (DL) is the subset of Machine learning reshaping the future of transportation and mobility. In this class, we will show how DL can be used to teach autonomous vehicles to detect objects, make predictions, and make decisions. (Fun fact: this summary is powered by DL)

Frontiers of Deep Learning for Engineers

The seminar aims at discussing recent research papers in the field of deep learning, implementing the transferability/adaptability of the proposed approaches to applications in the field of research of the Ph.D. student.

Topics in Autonomous Robotics

Students will be introduced to modern approaches in control and design of autonomous robots through lectures and exercises.