Data Science and Artificial Intelligence are driving the digital transformation of industries, transportation, and cities. The pace of innovation in these areas is continuously reshaping the scientific and industrial scene, constantly creating new opportunities and research questions. Their impact ranges from smart management of production lines to adaptive approaches in logistic and supply chains and to autonomous driving vehicles. Furthermore, data science and AI are also changing significantly the approach in natural sciences like physics, chemistry and geosciences, developing powerful data driven models and coupling them with equation-based approaches.
In this curriculum we pursue both foundational research questions in machine learning and artificial intelligence and applications of data science and AI to diverse scenarios. From a methodological point of view, the research covers topics including explainable AI, robust and geometric machine learning, meta-learning, control theory, optimisation, bayesian statistics and machine learning, reinforcement learning. Applications are widely distributed in areas like smart manufacturing and automation, renewable energies, transportation and logistics, robotics, geophysics, cosmology, material science, scientific data management.
Graduates in this track will be ready to apply successfully for lead Data Science and AI positions in public and private companies operating e.g. in industrial, energy, transportation, smart city sectors or to pursue research careers in both public and private research institutions.
Curriculum Coordinator: Prof. Luca Bortolussi
- Prof. Luca Bortolussi, Department of Mathematics and Geosciences
- Prof. Marco Barchiesi, Department of Mathematics and Geosciences
- Prof. Daniele Coslovich, Department of Physics
- Dr. Stefano Cozzini, Area Science Park
- Prof. Eric Medvet, Department of Engineering and Architecture
- Prof. Felice Andrea Pellegrino, Department of Engineering and Architecture
- Prof. Alexandro Saro, Astronomical Observatory of Trieste
- Dr. Luca Tornatore, Astronomical Observatory of Trieste
- Dr. Giuliano Taffoni, Astronomical Observatory of Trieste
- Prof. Lorenzo Castelli, Department of Engineering and Architecture