
Scientific Board and Main Proponent
Statistical physics, combinatorial optimization, bioinformatics, biological modeling, statistical inference

Scientific Board and Main Proponent
Topological data analysis, geometrical and topological aspects of data analysis, non commutative geometry and invariant theory

Steering Committee
Theory-Guided & Knowledge-Informed AI, Physics-Informed Scientific Computing, AI for Industrial Intelligence

Steering Committee
Strategic and Organizational Implications of Digital Technological Change, Business Model Innovation in Incumbent Firms, Digital Transformation

Participating Member
Biostatistics, Mathematical modelling in the life sciences, Stochastic modelling

Participating Member
Energy Center, Lab, Power Systems, Electro-energetics, Energy Infrastructures

Participating Member
Machine Learning, Statistical Physics, Combinatorial Optimization

Partecipating Member
Biomass detection, Global carbon budget, Satellite analysis, Neotropics

Participating Member
VLSI Design, Hardware Accelerators for Computing, System of Chip (SoC), FPGA, Deep Learning

Participating Member
Data Mining, Self-learning Methodologies, Transparent Data Anaytics

Participating Member
Science and Tech studies; Social impacts of innovation; public and stakeholder engagement

Partecipating Member
Risk Analysis, Adaptive Interpolation, Global Climate Data Analysis, Remote Sensing Data Assimilation

Partecipating Member
Model Order Reduction, Data-driven behavioral modeling, Electromagnetic Compatibility

Participating Member
Data Visualization, Visual Analytics, Virtual and Augmented Reality, Human-Machine Interaction

Partecipating Member
Computer networks and communications, Cybersecurity, Machine learning, Network management

Participating Member
Data Mining of Software Product and Process Data, Software Analytics

Participating Member
Innovation Management, MIS, Economic and Industrial Impact of Big Data

Participating Member
Explainable and Trustworthy AI, Data Science, Big Data Analytics, Predictive Maintenance

Participating Member
ITS (Intelligent Transport Systems), Smart and Sustainable Mobility, Travel behaviour, Data analysis

Participating Member
sustainable communication networks, predictive maintenance, sustainable mobility, non-terrestrial networks

Participating Member
Signal Processing, Circuits/Algorithms for Machine Learning, Big Data Processing, IoT Nodes Design/Implementation, Hardware Security

Partecipating Member
Artificial Intelligence; Computational Intelligence; Evolutionary Computation; Multi-Agent Systems, Machine Learning

Participating Member
Data Mining of Software Product and Process Data, Software Analytics, Data Quality, Data Visualization

Participating Member
Online Social Networks, Internet Measurements and Anonymization, Mobility and Transportation, Big Data Analytics, Analytical and Numerical Optimization

Partecipating Member
Catchment hydrology, Floods; Statistical hydrology, Climate change, Extreme events

Partecipating Member
Numerical climate modelling, climate data analysis and diagnostics, geophysical fluid dynamics

PhD Student
eXplainable Artificial Intelligence, Natural Language Processing, Deep Learning

PhD Student
Spoken Language Understanding, XAI, Speech Processing, Deep Learning, Audio Music and Multi-Modal Learning

PhD Student
Neuromorphic, Machine learning, Physics of Complex Systems, Combinatorial Optimization

PhD Student
Artificial Intelligence, Machine Learning, Computer Vision, NLP

PhD Student
Cloud continuum, Edge Computing, Machine Learning, Data Science, Distributed systems

PhD Student
Virtual Element methods, Hybrid-High Order methods, Computational fluid dynamics, High Performance Computing

PhD Student
Online Social Networks and Instant Messaging apps, Complex Graphs, Data Science for Social Good

PhD Student
Kriging, Uncertainty Quantification, Macromodelling, Surrogate models, Signal and Power Integrity

PhD Student
Distributed Computing, Federated Learning, Internet Traffic, Network Security

Research Affiliate
Machine Learning, Data Science, Data Mining, Financial Data, Cryptocurrencies

External Advisory Board
Contraint-Based Frequent Pattern Mining, Mobility Data Mining, Complex Network Analysis

External Advisory Board
Statistical and Biological Physics, Complex Heterogeneous Systems

External Advisory Board
Probabilistic Machine Learning, Parallel and Distributed Learning Algorithms

PhD Student
Unsupervised machine learning, Time Series Analysis, Anomaly Detection

Research Affiliate
Topological Data Analysis, Multi-Parameter Persistent Homology, Discrete Morse Theory

PhD Student
Statistical Physics, Inverse Problems, Approximate Inference, Graphical Models, Image Reconstruction

Research Affiliate
Smart Cities, Science of City, Transports Analysis, Statistical Physics

Research Affiliate
Topological data analysis, Computational topology, Machine learning, Topological visual analytics

PhD Student
Natural Language Understanding, Deep Learning, Multimedia Analysis, Multi-Modal Learning

PhD Student
Smart and Sustainable Mobility, Travel Behaviour, Transport data analysis, Machine Learning

PhD Student
Big Data, Management, Value generation VS value appropriation, Econometric Modelling

PhD Student
Machine Learning Techniques for Detection of Coordinated Events in the Internet