Alexandre Alahi

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

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

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Administrative data

Fields of expertise

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

Publications

Infoscience publications

Research

Teaching & PhD

Teaching

Civil Engineering

PhD Programs

Doctoral Program in Civil and Environmental Engineering

Doctoral program in computer and communication sciences

Doctoral program in robotics, control, and intelligent systems

Doctoral Program in Electrical Engineering

Courses

Introduction to machine learning for engineers

Machine learning is one of the fundamental building blocks of the Computational Thinking education at EPFL.

Deep learning for autonomous vehicles

Self-driving cars, delivery robots, or self-moving segways. Most of these AI-driven transportation systems rely on four pillars: 1-Sensing, 2-Perceiving, 3-Predicting, and 4-Acting steps. Students will learn the fundamentals behind these four pillars, i.e., the technology behind autonomous vehicles.

Topics in Autonomous Robotics

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