Andrés Ladino

Andrés Ladino

Postdoctoral Researcher

Université Gustave Eiffel

Biography

I am a postdoctoral researcher in Automatic Control at UGE formely IFSTTAR. My recent research interests include Networked Control Systems (NCS), Cyberphysical Systems (CPS), Intelligent Transportation Systems (ITS) and Artificial Intelligence (AI). Previously, I did my PhD at INRIA/CNRS with the NeCS team developing Short-term Forecasting and estimation techniques for large scale traffic networks. Currently, I work within the LICIT team working on control techniques for connected and automated vehicles (CAV)s. In this team I develop traffic flow models and traffic simulation algorithms for truck platoon strategies.

I am also passioned about the Data Science community and the recent work developed around reproducible research. Fan of #rstats and python.

Please find a recent list of publications here Download my resumé.

Interests
  • Artificial Intelligence
  • Automatic Control
  • Intelligent Transportation Systems
Education
  • PhD Automatic Control, 2018

    Université Grenoble Alpes

  • M.E. Electronic Engineering, 2012

    Pontifical Xavierian University

  • B.E. Electronic Engineering, 2008

    Pontifical Xavierian University

Skills

Data Analysis

Manipulation, DataViz, Modeling

Optimization/Control

Predictive, Non-linear, Gurobi, CVX

MATLAB

Hardware in the Loop / Control toolbox

C++

Hardware Oriented Development

Python

PyViz, Pandas, Keras

R

Tidyverse

Experience

 
 
 
 
 
Université Gustave Eiffel (Former IFSTTAR)
Postdoctoral Researcher
Jan 2018 – Present Lyon, France

Responsabilities include:

  • Lead a ENSEMBLE team working on assessment for traffic impact of automated vehicle technologies
  • Implemented (Python, C++) platooning software architectures and interfaces for traffic simulators;
  • Analysed ADAS protocols to ensure platooning communication at simulation level;
  • Core participant in the long program on Autonomous Vehicles IPAM UCLA
 
 
 
 
 
Institute of Pure and Applied Mathematics, UCLA
Graduate Researcher
Sep 2015 – Nov 2015 Los Angeles, California

Responsabilities include:

  • Visitor Researcher UCLA;
  • Designed statistical learning algorithms to estimate and predict travel time in traffic networks.
 
 
 
 
 
CNRS/INRIA
Research Assistant
Sep 2014 – Dec 2018 Grenoble, France

Development of estimation and prediction techniques for traffic systems:

  • Developed and deployed the GTL website (Traffic Use Case for the SPEEDD project);
  • Developed real time forecasting algorithms for traffic networks;
  • Developed algorithms to reconstruct and estimate missing data.
 
 
 
 
 
Pontifical Xavierian University
Instructor Professor
Jan 2012 – Jul 2014 Bogota, Colombia

Responsabilities include:

  • Developed the communication programs for the EU funding ADDE SALEM;
  • Instructed courses for 3rd year students in: Automatic Control and Dynamical Systems.
 
 
 
 
 
International Business Machines (IBM)
Process Analyst
Jan 2008 – Apr 2009 Bogota, Colombia

Responsibilities include:

  • Analyzed and adapted Business Process Management (BPM) practices IT for SO contracts;
  • Coordinated and deployed Operational Service Manuals (OSM) jointly with IT management for 3 main clients.

Accomplish­ments

DataCamp
Data Scientist with Python
A series of online lectures & projects on how to combine statistical and machine learning techniques with Python programming to analyze and interpret complex data.
See certificate
DataCamp
Machine Learning with Python
A series of online lectures & projects on how to combine statistical and machine learning techniques with Python programming to analyze and interpret complex data.
See certificate

Contact