Pietro Michiardi, Ph.D.

Full Professor, Eurecom
Campus SophiaTech: 450, route des Chappes - 06410 BIOT
(CS 50193 – 06904 Sophia Antipolis cedex)
Tel: +33.(0)4.93.00.81.45 -- FAX: +33.(0)4.93.00.82.00

Short Bio

Pietro Michiardi received his M.S. in Computer Science from EURECOM and his M.S. in Electrical Engineering from Politecnico di Torino. Pietro received his Ph.D. in Computer Science from Telecom ParisTech (former ENST, Paris), and his HDR (Habilitation) from UNSA.

Today, Pietro is a Professor of Computer Science and head of the Data Science Department at EURECOM. In his work, Pietro blends theory and system research focusing on scalable machine learning algorithms. Pietro is interested in developing a theoretical understanding of the optimization process underlying many machine learning methods, in methodological aspects of computationally efficient Bayesian inference approaches, and their application to industrial domains such as the automotive and the IT infrastructure industries.

In the past, Pietro worked on a wide range of research topics, including: computer networks and their performance evaluation, applied cryptography, applied game theory, distributed systems for content storage and distribution, and distributed data management systems.

Teaching

  • Deep Learning

    Short course, Spring semester
    Theory and practice of Deep Learning:
    • Feed Forward Neural Nets
    • Stochastic optimization and loss landscapes
    • CNNs, with a gist of Computer Vision
    • Sequence Modeling, also beyond RNNs
  • Algorithmic Machine Learning

    Short course, Spring semester
    Practical, end-to-end aspects of Machine Learning:
    • Data preparation
    • Modelling task
    • Model validation
    • Organized a-la Kaggle: mini-challenges on a variety of application domains


Previous courses: Distributed systems and Cloud Computing (2011-2019), Applied Game Theory (2009-2012), Web Technologies (2005-2011), Applied Algorithm Design (2009-2014)

Research

Industry Funded Research

Current

  • SAP: Machine Learning
  • AMADEUS: Machine Learning
  • Renault Software Labs (RSL): Machine Learning
  • Orange: Machine Learning

Past

Team

Ph.D. Students and Their Doctoral Schools

  • Rosa Candela, UPMC, France (funded by AMADEUS)
  • Graziano Mita, UPMC, France (funded by SAP)
  • Ugo Lecerf, UPMC, France (funded by RSL)
  • Matthieu Da Silva Filarder, UPMC, France (funded by RSL)
  • Julien Audibert, UPMC, France (funded by Orange)
  • Giulio Franzese, Politecnico di Torino, Italy (visiting Ph.D. student)

PostDocs, Research Fellows

  • Dimitrios Milios, Postdoctoral Researcher [with Prof. Maurizio Filippone] (funded by AXA Chair)

Alumni

  • Chi-Anh La, Ph.D. -- PostDoc at Laboratoire d'Informatique Grenoble
  • Laszlo Toka, Ph.D. -- Now Assistant Professor at BUTE
  • Xiaolan Sha, Ph.D. -- Now Data Scientist at Sky
  • Antonio Barbuzzi, Ph.D. -- Now Senior Software Engineer at Schibsted
  • Mario Pastorelli, Ph.D. -- Now Software Engineer at Teralytics
  • Duy-Hung Phan, Ph.D. -- Now at KPMG
  • Yongchao Tian, Ph.D. -- Now at Criteo
  • Fabio Pulvirenti, Ph.D. -- Now Data Scientist at Bank of Ireland
  • Matteo Dell'Amico, Ph.D -- Now Research Scientist at Symantec
  • Marco Milanesio, Ph.D. -- Now Research Engineer at UCA/INRIA
  • Thibault Debatty, Ph.D. -- Royal Military Academy, Belgium
  • Francesco Pace, Ph.D. -- Now at Amadeus
  • Remi Domingues, Ph.D. -- Now at Linxo

Recent Publications

I've been active in several domains, including computer networks, caching, task scheduling, data management, and cloud computing.
Although these are important fields, in the following list I'm showing only works in the machine learning domain, which has been attracting most of my attention lately.

For the full publication list, please refer to: