La tesi premiata si occupa di analizzare i dati sul volume delle foreste acquisiti tramite sensori radar per caratterizzare alcuni fenomeni, come il vento, che possono causare un disturbo d'immagine
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Data Science and Engineering Lab
The objective of the laboratory is to carry out research and technological transfer in the following fields:
- DATA MINING : Big Data Mining, Explainable Artificial Intelligence, Streaming Data Mining, Opinion Mining, Stance Detection, Fake news Detection, Anomaly Detection, Smart Applicant Tracking System
- AI FOR INDUSTRY 4.0: PEOPLE AND PROCESSES: Sensor-based monitoring of workers’ safety and stress level at the workplace, Novel many-objective optimization algorithms for industrial processes
- NOVEL APPROACHES TO NEURAL NETWORKS: Hardware implementation (FPGA, ASIP, …), NNs with infinitesimal and infinite weights, Photonic NNs, NNs based on calculus of variations
People: Beatrice Lazzerini (coordinator), Alessio Bechini, Marco Cococcioni, Francesco Marcelloni
Projects:
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- Towards EXtreme scale Technologies and Accelerators for euROhpc hw/Sw Supercomputing Applications for exascale (TEXTAROSSA), https://textarossa.eu
Past Projects:
- “Design, implementation and experimentation of a new Smart Applicant Tracking System (Smart-ATS), based on advanced techniques of machine learning for profiling and matching of job demand and offer with reference to new professional figures characterized by multi-disciplinary skills required by Industry 4.0 (Talent) ", funded by Tuscany Region in the framework of regional program “FESR 2014-2020, bando N. 2: progetti di ricerca e sviluppo delle MPMI” (Dic 2017 – Jun 2019).
- “Un sistema di monitoraggio per la predizione degli eventi di traboccamento e inondazione nelle reti fognarie", funded by Tuscany Region in the framework of “ADAPT Assistere l’adattamento ai cambiamenti climatici dei sistemi urbani dello spazio transfrontaliero” funded by Programma Interreg Italia-Francia Marittimo 2014-2020.
- “IoT e Big Data: metodologie e tecnologie per la raccolta e l’elaborazione di grosse moli di dati” (IoT and Big Data: Methodologies and technologies to collect and elaborate big data) funded by the University of Pisa in the framework of “Progetti di Ricerca di Ateneo - PRA 2017” (Mar 2017 – Mar 2019).
- “Development of a compression scheme for sensor nodes” funded by Huawei s.p.a. (Sep. 2017– July 2018).
- “Design and implementation of a Business Intelligence system for Industry 4.0, based on collaboration and automatic interaction functionalities, and big data analytics and machine learning for extracting knowledge and performing predictive analysis integrating Big Data collected from Web and Internet of Things architectures (SIBILLA)”, funded by Tuscany Region in the framework of regional program “FESR 2014-2020, bando N. 2: progetti di ricerca e sviluppo delle MPMI” (Dic 2017 – Jun 2019).
- “Event Extraction for Fake News Detection”, Massachusetts Institute of Technology – University of Pisa projects (Jan 2019 – Aug. 2020). “Sistemi di sensori indossabili: analisi personalizzata e sicurezza dei dati in ambito healthcare”, “Wearable sensor systems: personalized analysis and data security in healthcare” funded by the University of Pisa in the framework of “Progetti di Ricerca di Ateneo - PRA 2018” (Luglio 2018 – Luglio 2020).
- H2020 European Processor Initiative (EPI), 2019-2021.
02 Aprile 2019
2460
Dipartimento di Ingegneria dell'Informazione
Via G. Caruso 16 - 56122 - Pisa
Tel +39 050 2217511 - info@dii.unipi.it
PEC: ing.informazione@pec.unipi.it
Info Didattica: didattica@dii.unipi.it
P.I. 00286820501 - C.F. 80003670504