Enrico Meloni

Enrico Meloni

Lead AI Engineer

Baker Hughes - AI Team Florence

Biography

I work as Lead AI Engineer at Baker Hughes, applying my strong passion and 15+ years experience with Software Engineering to Artificial Intelligence solutions for Industrial Processes. I obtained a PhD in Machine Learning and Explainable AI, at the University of Florence (Smart Computing), and performed my research work on Computer Vision, Continual Learning and Virtual Environments at SAILab at the University of Siena.

Interests

  • Software Engineering
  • Artificial Intelligence
  • Computer Vision
  • Virtual Environments

Education

  • PhD in Smart Computing, 2023

    University of Florence and Siena

  • MSc in Computer Engineering, 2019

    University of Pisa

  • BSc in Computer Engineering, 2016

    University of Pisa

Skills

Python

pytorch

Pytorch

Unity3D

c-sharp

C#

Java

Javascript

Recent Publications

Quickly discover relevant content by filtering publications.

PARTIME: Scalable and Parallel Processing Over Time with Deep Neural Networks

In this paper, we present PARTIME, a software library written in Python and based on PyTorch, designed specifically to speed up neural …
Enrico Meloni, Lapo Faggi, Simone Marullo, Alessandro Betti, Matteo Tiezzi, Marco Gori, Stefano Melacci
arXiv
PARTIME: Scalable and Parallel Processing Over Time with Deep Neural Networks

Stochastic Coherence Over Attention Trajectory For Continuous Learning In Video Streams

Devising intelligent agents able to live in an environment and learn by observing the surroundings is a longstanding goal of Artificial …
Matteo Tiezzi, Simone Marullo, Lapo Faggi, Enrico Meloni, Alessandro Betti, Stefano Melacci
arXiv
Stochastic Coherence Over Attention Trajectory For Continuous Learning In Video Streams

Messing Up 3D Virtual Environments: Transferable Adversarial 3D Objects

In the last few years, the scientific community showed a remarkable and increasing interest towards 3D Virtual Environments, training …
Enrico Meloni, Matteo Tiezzi, Luca Pasqualini, Marco Gori, Stefano Melacci
IEEE Xplore arXiv
Messing Up 3D Virtual Environments: Transferable Adversarial 3D Objects

Evaluating Continual Learning Algorithms by Generating 3D Virtual Environments

Continual learning refers to the ability of humans and animals to incrementally learn over time in a given environment. Trying to …
Enrico Meloni, Alessandro Betti, Lapo Faggi, Simone Marullo, Matteo Tiezzi, Stefano Melacci
arXiv Springer
Evaluating Continual Learning Algorithms by Generating 3D Virtual Environments

An Optimal Control Approach to Learning in SIDARTHE Epidemic model (pre-print)

The COVID-19 outbreak has stimulated the interest in the proposal of novel epidemiological models to predict the course of the epidemic …
Andrea Zugarini, Enrico Meloni, Alessandro Betti, Andrea Panizza, Marco Corneli, Marco Gori
arXiv
An Optimal Control Approach to Learning in SIDARTHE Epidemic model (pre-print)
See all publications

Projects

PARTIME: Scalable and Parallel Processing Over Time with Deep Neural Networks

An implementation of Pipeline Parallelism for Real-Time Online Learning

Triple Triad World

A triple triad webapp in Javascript and HTML

Object Detection with V-DAENY

A Dataset Generator powered by a modded version of GTA V

Face Recognition App

A face recognition app for android powered by Machine Learning

Exp Launcher

An Electron app for managing and launching batch of experiments

SAILenv

A virtual environment for generating fully annotated video streams.

Learning SIR/SIDARTHE

Learning the epidemiological parameters of COVID-19 through Machine Learning.

WanRaptor

An embedded Network Impairments Emulator with high-bandwidth and high precision performances

CHKB

Encyclopedic Web App to catalog Computer History.

Lockstep Library

A Lockstep Network Synchronization Layer for distributed reliable simulations

ABE Photo Sharing

Secure Photo Sharing Service powered by KPABE

Recent & Upcoming Talks

Pipeline Parallelism for Real-Time Online Learning

Figures taken from https://arxiv.org/abs/2006.09503
May 25, 2022 11:00 AM — 11:30 AM
Enrico Meloni
Project Slides
Pipeline Parallelism for Real-Time Online Learning

AGENT: A Benchmark for Core Psychological Reasoning

In this seminar, I talk about the recently released paper “AGENT: A Benchmark for Core Psychological Reasoning. @misc{agent2021shu, doi = {10.48550/ARXIV.2102.12321}, url = {https://arxiv.org/abs/2102.12321}, author = {Shu, Tianmin and Bhandwaldar, Abhishek and Gan, Chuang and Smith, Kevin A.
Dec 22, 2021 11:00 AM — Dec 22, 2022 11:30 AM
Enrico Meloni
Slides
AGENT: A Benchmark for Core Psychological Reasoning

Differentiable Rendering and Adversarial Learning

Feb 10, 2021 10:52 AM — 10:52 AM
Enrico Meloni
Project Slides
Differentiable Rendering and Adversarial Learning

Machine Learning for Epidemiological Models

The COVID-19 outbreak has stimulated the interest in epidemiological models to predict the course of the epidemic and help planning …
Sep 24, 2020 6:30 PM — 8:30 PM Online
Enrico Meloni
Project Slides Video
Machine Learning for Epidemiological Models

SAILenv: Learning in Virtual VisualEnvironments Made Simple

Recently, researchers in Machine Learning algorithms, Computer Vision scientists, engineers, and others, showed a growing interest in …
Sep 16, 2020 11:00 AM — 12:00 PM Siena
Enrico Meloni
Project Slides
SAILenv: Learning in Virtual VisualEnvironments Made Simple
See all talks

Recent Posts

SAILenv at ICPR2020

SAILenv was presented at ICPR2020
Enrico Meloni
Jan 15, 2021 1 min read Machine Learning, Virtual Environments
SAILenv at ICPR2020

Learning Sidarthe at SOPHI.A Summit

Learning Sidarthe project was present at the SOPHI.A Summit 2020
Enrico Meloni
Nov 25, 2020 1 min read Machine Learning
Learning Sidarthe at SOPHI.A Summit

Experience

 
 
 
 
 

Project Manager and Software Engineer

East Coast Datacom, Inc.

Oct 2017 – Present Florida, USA

Development of a graphical user interface for the WanRaptor, an embedded Network Latency Emulator.

Responsibilities include:

  • Design of the GUI
  • Implementation of Backend with Java Enterprise framework
  • Implementation of Frontend with Node.js framework
  • Design and development of deployment system
 
 
 
 
 

Internship as Backend Web Developer

Inera Srl

Mar 2016 – May 2016 Pisa, Italy
An internship involving the development of a web application with Java Enterprise Framework and the integration of Elasticsearch in existing software.

Accomplish­ments

Software Systems, Social Systems, Security and Privacy

Cornell, Maryland, Max Planck Pre-doctoral Research School Aug 2017 – Aug 2017
Outstanding undergraduate and Masters students are invited to learn about world-class research in security and privacy, social systems, distributed systems, machine learning, programming languages, and verification. Leading researchers will engage with attendees in their areas of expertise: the curriculum will include lectures, projects, and interaction with faculty from participating institutions.

Popular Topics

3d adversarial learning c# computer vision continual learning covid19 cuda programming distributed systems dynamic systems epidemics java machine learning multi-gpu sailenv sidarthe sir unity unity3d virtual environments visual agents

Contact

  • Via Roma, 56 (palazzo S. Niccolò), Siena, Toscana 53100
  • Enter the building and take the stairs to Lab 201 on Floor 2
  • Skype Me
  • Telegram Me