Denis Broggini

about_me.py - Denis Broggini - Highlights
Denis = {

    'Located in': Lugano (CH),
    
    'From':  Switzerland,
    
    'Born': 1994,

    'Current occupation': Software Engineer & Researcher for IPG@IDSIA,

    'Education': {
        'Master Degree': Intelligent Systems, # 2017 - present
        'Bachelor Degree': Computer Science,  # 2014 - 2017
        'School': University of Applied Sciences of Southern Switzerland
    },

    'Interested in': [ Machine Learning, Optimization, Data Mining ],

    'Other passions': [
                    Rock/Metal Music,
                    Playing Drums,     # For Lost Journey 
                    Sport,             # European Football, Gym, Windsurf, Field Hockey
                    Nature
                ],

    'Contact': {
        'e-mail': [ name.surname(at)outlook.com, denisb(at)idsia.ch ],
        'social': [ Linkedin, Instagram, Facebook ]
    }
}
                    
{
    projects: [
        {
            name: Real-Time Fault Detection for industrial production plants
            topic: Unsupervised Learning
            language: Python
        },
        {
            name: Industrial production process optimization combining PSO and Neural Networks
            topic: Optimization, Supervised Learning, Meta Modeling
            language: Python
        },
        {
            name: Fence intrusion detection based on accelerometer data
            topic: Supervised Learning
            language: Python
        },
        {
            name: Learning to detect pointing gestures from wearable IMUs
            topic: Supervised Learning, Robotics
            language: Python
            Link: Here
        },
        {
            name: Ant Colony experiments for Traveling Salesman Problem
            topic: Optimization, Meta-heuristics
            language: Java
        },
        {
            name: This little VS Code-looking template
            topic: Front-End development
            language: HTML, CSS, JavaScript
        }
    ]
}
                    
<publications>
    <publication>
        <title>
            Machine Learning on Accelerometer Data for Detection of Fence Violations
        </title>
        <authors>
            A.Giusti, D.Broggini, M.Albertolli, G.Dozio, F.Foletti,
            A.Rivero, A.Bernaschina, L.M.Gambardella
        </authors>
        <conference>
            FTAL conference on Industrial Applied Data Science,
            October 18-19, 2018, Lugano, Switzerland 
        </conference>
    </publication>
    <publication>
        <title>
            Learning to detect pointing gestures from wearable IMUs        
        </title>
        <authors>
            D.Broggini, B. Gromov, L. M. Gambardella, and A. Giusti
        </authors>
        <conference>
            Thirty-Second AAAI Conference on Artificial Intelligence,
            February 2-7, 2018, New Orleans, Louisiana, USA 
        </conference>
    </publication>
</publications>