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
Strategic and Organizational Implications of Digital Technological Change, Business Model Innovation in Incumbent Firms, Digital Transformation
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
Data Mining, Self-learning Methodologies, Transparent Data Anaytics
Participating Member
VLSI Design, Hardware Accelerators for Computing, System of Chip (SoC), FPGA, Deep Learning
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
Participating Member
Data Mining of Software Product and Process Data, Software Analytics
Partecipating Member
Computer networks and communications, Cybersecurity, Machine learning, Network management
Participating Member
Innovation Management, MIS, Economic and Industrial Impact of Big Data
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
Machine Learning Techniques for Detection of Coordinated Events in the Internet
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