class Matteo: def __init__(self): self.name = 'Matteo' self.surname = 'Merlo' self.education = ['Politecnico di Torino'] self.experience = ['Icarus Polito Team', 'Links Foundation'] self.achievements = ['Best Paper Award at ECML PKDD 2023'] self.interests = ['Space Exploration', 'Climate change', 'Automotive', 'Computer Vision', 'Finance'] self.hobbies = ['Chess', 'Reading scientific papers', 'Gym', 'Hiking']- 🔥
Multitask Semantic Segmentation from satellite imagery for burned area and severity estimation: A Multitask Learning in Semantic Segmentation approach is employed for targeting both wildfire delineation and burn severity estimation. - 🛰️
CEMS Wildfire Dataset: A large dataset (500+ images) of past wildfire from Copernicus EMS using Sentinel-2 images. - 🛩
Skymap path planner: UAV flight route planner though the clouds using pathfinding algorithm.
- 🛤️
Path finding in a Weighted Environment: Try and testing different pathfinding algorithms in weighted environments.
- 🚙
Real-Time Domain Adaptation in Semantic Segmentation: A class-based styling approach for Real-Time Domain Adaptation in Semantic Segmentation applied within the realm of autonomous driving solutions. - 🛃
Smart Home Vigilance System: an indoor vigilance system that is capable of recognizing the presence of a human intrusion through video-audio recordings. - 💳
Default of Credit Card Clients Dataset Analisys: in depth mathematical analysis of Random Forest, SVM and Logistic Regression; - 🐥
Twitter-Sentiment-Analisys: Sentiment analysis of a dataset of tweets through machine learning techniques. - 💉
Simulation Epidemics on Graphs: SIR simulation of the evolution with the parameter of 2009 pandemic in Sweden with the goal of learning the network structure characteristics and disease-dynamics.
- 📘
Machine Learning for IOT: Homeworks from the course "Machine Learning for IOT", multi-step forecasting and Edge-Cloud Collaborative Inference. - 📗
Network dynamics and learning homework: Homeworks from the course "Network Dynamics and Learning", averaging dynamics through network and epidemic simulation model. - 📕
Distributed architectures for big data processing and analytics: Homeworks from the course "Distributed architectures for big data processing and analytics", pyspark and hadoop exercises. - 📙
Datascience Lab: process and methods: Laboratories from the course "Datascience Lab: process and methods";
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