List of researchers from the University of Pisa and Consiglio Nazionale delle Ricerche associated with PAILab.
Directors of the Laboratory

Davide Bacciu
Università di PisaAssociate Professor - Dipartimento di Informatica - Machine Learning

Patrizio Dazzi
Università di PisaSenior Researcher - Dipartimento di Informatica - Distributed Systems
Institutional Representatives

Associate Professor - Dipartimento di Informatica - Machine Learning

Researcher - Cloud/Edge computing, Distributed Virtual Environments, Application Orchestration
Members

Researcher - Aerospace communications, IoT, Cyberphysical systems

Senior Researcher -Cyber Physical Systems, Indoor Localization and Positioning, Ambient Assisted Living

Full professor -Systematic management of Cloud-Iot applications, Fog computing, Declarative reasoning

Researcher - Cloud/Edge computing, Distributed Virtual Environments, Application Orchestration

Ph.D. Student - recurrent neural networks, continual Learning

Researcher - Network Control Systems; Distributed/Federated Learning Models; Wireless Networks

Ph.D. Student - Tensors for ML, Structured Data

Full professor - IoT, smart environments, mobile crowdsensing

Researcher - High Performance Computing, Cloud Federation, Programming Models

Ph.D. Student - Continual Learning, Recurrent Neural Networks, Online Learning

Graduate Fellow - Graph neural networks, Deep learning

Ph.D. Student - Deep graph networks, MAS, Large-Scale Networks

Researcher - Computer Graphics, Reinforcement Learning, Adaptive Computing

Ph.D. Student - Machine Learning, Recurrent Neural Networks, Reservoir Computing

Ph.D. Student - Deep graph networks, graph representation learning, deep learning

Researcher - multimedia information retrieval, deep learning, computer vision

Post-Doc - Cloud-IoT computing, application management, continuous reasoning

Assistant professor - Recurrent Neural Networks, Reservoir Computing, Machine Learning

Researcher - Non-Terrestrial Networks, IoT, Cyber-Physical Systems

Ph.D. Student - Deep graph networks, deep learning, temporal graphs

Researcher - Research Infrastructures

Post-Doc - Continual Learning, Meta Learning, Deep Learning

Postdoc researcher - Iot, signal processing, machine learning

Ph.D. Student - Data Center Operations, Cloud Computing, Distributed Systems

Ph.D. Student - Deep Graph Networks, Graph Theory, Network Analysis

Assistant professor - Deep Learning, Continual Learning, Artificial Intelligence

Researcher - Open Science, Scholarly Data Infrastructures

Assistant professor - IOT, industry 4.0, Human Machine Interaction

Assistant professor - Data Stream Processing, Parallel Computing, Frameworks for Big Data

Researcher - Computer vision, Smart camera networks, Topological data analysis

Associate professor -Deep Graph Networks, Reservoir Computing, Machine Learning

Emeritus Professor - Distributed concurrent programming, constraint programming, optimization

Researcher - conversional Search, information retrieval, passage retrieval

Senior Researcher - mobility analytics, individual modeling, data mining

Researcher - Information Retrieval, Deep Learning

Ph.D. Student - Deep graph networks, deep learning, explainable AI

Assistant professor - Softwarized networks, Resource orchestration, Edge/Cloud-native Networking

Research Director - Transformer Networks, Additive Tree ensembles, Efficient, time-budgeted inference

Ph.D. Student - deep learning, deep generative models, graph generation

Ph.D. Student - NLP, Multilingual NMT, Continual Learning

Senior Researcher - Mobility data analysis, artificial intelligence, semantics

Assistant professor - microservices, service-oriented computing, cloud computing

Researcher - Additive Tree ensembles, Efficient Inference, Semantic Enrichment

Researcher - Data Mining, Research Infrastructure, Mobility Data Analysis

Assistant professor - Natural Language Processing, Human Language Technologies, Artificial Intelligence

Continual Learning, Edge Computing, Green AI

Continual Learning, ML System, Auto-ML
Previous Members

Ph.D. Student - Deep graph networks, graph representation learning, deep learning

Ph.D. Student - Machine Learning, Recurrent Neural Networks, Reservoir Computing