carls31 / polimi-webgis-class-2023 Goto Github PK

I'm Lorenzo Carlassara, Mathematical Engineer and Geoinformatics Engineering Master's candidate at Politecnico di Milano, currently at the University of Bonn, Germany.

Welcome to my GitHub profile!

Interested in:

• Machine Learning and Deep Learning algorithms and methods
• Earth Observation and Remote Sensing
• Health and environmental sustainability

Also, I am a sportsman person, enthusiast in discovering new places, I really like cooking and listening to music.

• Programming Languages: Python, R, MATLAB, JavaScript, SQL, C
• Libraries: PyTorch, Keras, TensorFlow, Qiskit, Botorch, kernlab, caret, e1071
• Frameworks & Technologies:
  • GIS Software: Google Earth Engine, QGIS, ArcGIS;
  • Databases: PostGreSQL, PostGIS, pgAdmin, Geoserver, Apache;
  • Front-End: HTML5, CSS3;

• Problem Solving: Analytical Thinking, Algorithmic Approach, Debugging and Troubleshooting, Collaborative Solutions, & Continuous Learning
• Version Control: Git & GitHub
• Languages: English (C1), Italian (C2)

I enjoy working on challenging projects that allow me to explore new concepts. Here are my pinned projects, be sure to check out:

• earth-observation-for-fire-mapping assess burn severity indexes for fire mapping using multispectral satellite imagery
• multiclass-logistic-regression-model for cardiovascular heart disease prediction
• se4geo-lab development of an interactive application for air pollution monitoring
• an2dl-image-classification Deep Learning: transfer learning approach with the ConvNeXtLarge model
• gis-lab-website landslide susceptibility map website for geohazard risk assessment
• mfbo-method is an efficient method for reducing uncertainty using multi fidelity and Bayesian optimization with a general overview of possible acquisition functions (rewritten for Torch Functional API).