Scientific Board and Main Proponent
Innovation Management, MIS, Economic and Industrial Impact of Big Data
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
Participating Member
Data Mining, Data-value extraction, Knowledge Discovery from Data
Participating Member
Machine Learning, Statistical Physics, Combinatorial Optimization
Participating Member
Data Mining, Self-learning Methodologies, Transparent Data Anaytics
Participating Member
Internet Traffic, Smart Mobility, Data Science, Big Data Analysis
Participating Member
Data Visualization, Visual Analytics, Virtual and Augmented Reality, Human-Machine Interaction
Participating Member
Signal Processing, Circuits/Algorithms for Machine Learning, Big Data Processing, IoT Nodes Design/Implementation, Hardware Security
Participating Member
Data Science, Behaviour Modeling, Big Data Analytics, Analytical and Numerical Optimization
Group of Experts
Energy Center, Lab, Power Systems, Electro-energetics, Energy Infrastructures
Group of Experts
VLSI Design, Hardware Accelerators for Computing, System of Chip (SoC), FPGA, Deep Learning
Group of Experts
Data Mining of Software Product and Process Data, Software Analytics
Group of Experts
ITS (Intelligent Transport Systems), Smart and Sustainable Mobility, Travel behaviour, Data analysis
Group of Experts
Data Mining of Software Product and Process Data, Software Analytics, Data Quality, Data Visualization
PhD Student
Unsupervised machine learning, Time Series Analysis, Anomaly Detection
PhD Student
Big Data, Management, Strategic Decision Making, Statistical Modelling
PhD Student
Natural Language Understanding, Deep Learning, Multimedia Analysis, Multi-Modal Learning
PhD Student
Statistical Physics, Inverse Problems, Approximate Inference, Graphical Models, Image Reconstruction
PhD Student
eXplainable Artificial Intelligence, Natural Language Processing, Deep Learning
PostDoc
Topological Data Analysis, Multi-Parameter Persistent Homology, Discrete Morse Theory
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