| KEYWORD |
Area Engineering
Machine learning techniques to prevent natural disaster by monitoring environmental changes in Earth observation
Thesis in external company
keywords DEEP LEARNING, MACHINE LEARNING, MACHINE LEARNING, ARTIFICIAL NEURAL NETWORKS
Reference persons ALESSANDRO ALIBERTI, EDOARDO PATTI
External reference persons Davide Mazzucchi (davide.mazzucchi@zirak.it)
Research Groups DAUIN - GR-06 - ELECTRONIC DESIGN AUTOMATION - EDA, ICT4SS - ICT FOR SMART SOCIETIES
Description Earth observation is crucial for monitoring environmental changes, patterns, and natural disasters. This thesis explores the fascinating world of generative artificial intelligence, by applying these techniques to forest, river and rail monitoring ongoing projects.
We aim to enhance our image databases by generating synthetic data, in such a way as to lower the costs, and be able to train our models consistently and more robustly. This research presents a unique opportunity to work on a cutting-edge topic at the intersection of AI and environmental science.
Expected Outcomes:
- Improved Earth observation capabilities by generating high-resolution, multi-source data.
- Evaluation of the quality of the generated image set by applying the current AI models on them.
- Enhanced the ability to monitor specific, localised areas more effectively.
The thesis will be done in collaboration with Zirak. Zirak is a dynamic SME dedicated to driving technological advancements in software solutions. Specializing in embedded systems, IoT, Artificial Intelligence, and mobile technologies, we proudly serve as trusted suppliers to major companies in Italy and beyond. Our expertise extends across diverse sectors, including Automotive, Rail, Earth Observation, and Industry 4.0. Within the Automotive industry, we excel in designing, providing architectural support, and developing modules on Autosar, Linux, and Android, offering top-notch solutions for various applications. We actively pioneer innovative solutions, particularly in Machine Learning, Computer Vision, and Big Data management, applying these cutting-edge technologies to projects in the railway, predictive logistics, Industry 4.0, and Earth observation fields. At Zirak, our unwavering commitment to research and development fuels collaborations with leading universities and research centres.
Required skills Programming skills in languages like Python, Java, or similar. Proficiency in working with ML / AI / DL techniques.
Strong problem-solving skills and the ability to work collaboratively in a fast-paced development environment.
Deadline 12/02/2025
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