Research Topics (all)

This page lists all the topics currently under research in the ICT school, divided in areas

Note that the topics are in alphabetical order (by tutor surname).

Electronics and Telecommunications

• Tutor: Davide Barater
  • High Performance rare earth free Electric Motors for a sustainable and greener transportation
• Tutor: Luigi Biagiotti
  • Blending reinforcement learning and control for advanced robotic applications
  • Shared control for robotic systems: from pre-planned tasks to autonomous execution [Cotutors: Laura Giarrè]
  • Shared control for robotic systems: from pre-planned tasks to autonomous execution [Cotutors: Laura Giarrè]
  • Tasks learning for robotic systems: from programmed operations to autonomous learning and adaptation
  • Extending Robotic Manipulation apabilities by Cooperative Mobile and Flexible Multi-Robot Systems (Co-MiR
• Tutor: Mattia Borgarino
  • Design of Radio Frequency Integrated Circuits
• Tutor: Maurizio Casoni
  • Programming of an Application Aware SDN data-plane
  • Multi-hop wireless sensor networks for smart cities
  • SDN-enable Vehicular Networks
  • Programming of an Application Aware SDN data-plane
• Tutor: Alessandro Chini
  • Energy Efficient Devices and Circuits
  • Reliability Analysis of GaN HEMTs
  • Characterization of Wide-Band-Gap Semiconductor Power Devices
  • Innovative Architectures for Low-Power Computing and Applications [Cotutors: Paolo Pavan]
  • Characterization of Wide-Band-Gap Semiconductor Power Devices
  • Characterization and modelling of GaN devices for switching application
• Tutor: Paolo Falcone
  • Motion planning and control with safety guarantees for autonomous driving applications [Cotutors: Luigi Biagiotti]
• Tutor: Fausto Fantini
  • Reliability of electronic components and systems for industrial application
• Tutor: Giovanni Franceschini
  • High reliability motor drives for green transportation applications [Cotutors: Davide Barater]
  • High reliability and High efficiency electric motor drives for green transportation applications [Cotutors: Davide Barater]
  • Highly efficient motor drives for green transportation applications
• Tutor: Laura Giarrè
  • Multi sensors Localization and navigation for self-driving application
  • Shared control for robotic systems: from pre-planned tasks to autonomous execution [Cotutors: Luigi Biagiotti]
  • Modeling and Control of Automotive Hybrid Systems [Cotutors: Roberto Zanasi]
  • Multi sensors Localization and navigation for self-driving application
  • Learning and prediction of human road users in traffic scenarios for autonomous driving applications. [Cotutors: Paolo Falcone]
  • Learning and prediction of human road users in traffic scenarios for autonomous driving applications. [Cotutors: Paolo Falcone, Luigi Biagiotti]
• Tutor: Maria Luisa Merani
  • 5G Networks
  • Dynamic Modelling of the Internet Topology Evolution
  • Video broadcasting in highly dynamic networks
  • Social Networks And P2p: A Marriage To Pursue
  • Network Coding for Multimedia Delivery in Wireless Networks
  • Vehicular Connectivity in 5G and Beyond
• Tutor: Nannarone
  • Performance and reliability of multilayer mirrors for high resolution photo-litography
• Tutor: Fabrizio Pancaldi
  • Analysis of pulmonary sounds for the diagnosis of interstitial lung diseases [Cotutors: Marco Sebastiani (University of Modena and Reggio Emilia), Michail Zervakis (Technical University of Crete, Greece), Emmanouil Spanakis (Foundation for Research and Technology – Hellas, Greece)]
  • Analysis of pulmonary sounds for the diagnosis of interstitial lung diseases [Cotutors: Marco Sebastiani (University of Modena and Reggio Emilia), Michail Zervakis (Technical University of Crete, Greece), Emmanouil Spanakis (Foundation for Research and Technology – Hellas, Greece)]
  • Analysis of pulmonary sounds for the diagnosis of interstitial lung diseases [Cotutors: Marco Sebastiani (University of Modena and Reggio Emilia), Michail Zervakis (Technical University of Crete, Greece), Emmanouil Spanakis (Foundation for Research and Technology – Hellas, Greece)]
  • Analysis of pulmonary sounds for the diagnosis of interstitial lung diseases
• Tutor: Luca Pasquali
  • New dielectric materials for electronic applications
  • Organic thin film interfaces for molecular electronics devices
  • Anisotropic optical and electronic properties of organic thin films for molecular electronics
  • Fluoride thin films for 2D electronics
• Tutor: Paolo Pavan
  • Characterization of electronic properties of new materials for innovative devices (non-volatile memories, high speed transistors, neuromorphic devices) [Cotutors: Francesco Maria Puglisi]
  • Energy harvesting circuits for low power applications [Cotutors: Luca Larcher, Alessandro Bertacchini]
  • High-k dielectrics for innovative non-volatile memories
  • MM-wave circuits for Gigabit wireless communications
  • Energy harvesting circuits for low power applications
• Tutor: Francesco Maria Puglisi
  • Innovative Devices and Circuits for Edge Computing
  • Material-to-Device Modeling for Emerging Technologies
  • Neuromorphic Computing Hardware for Low-Power Edge-AI
  • Neuromorphic Computing Hardware for Low-Power Edge-A
• Tutor: Gianpaolo Rossini
  • Molecular mechanisms of action, pattern of responses and communication networks of bioactive substances in biological systems
• Tutor: Luigi Rovati
  • Optical methods for biomedical instrumentation: theoretical and experimental studies
  • Innovative sensors for biomedical and industrial applications
  • New materials for biomedical optical sensors: design and development of fast-responding, reversible and low-hysteresis optical devices for real-time monitoring of blood parameters
  • Optical sensors for the early detection of ocular diseases
  • Design and Development of new non-contact screening methods for ocular diseases
  • mHealth: smart sensors, electronics and systems for home-care and well-being [Cotutors: Sonia Bergamaschi]
  • Optoelectronic methods and instrumentation for vision research [Cotutors: Rafat Ansari (NASA Glenn Research Center in Cleveland)]
  • Advance Optical Methods and technologies for Non-invasive Ophthalmic Instrumentation
  • Optoelectronic sensors for biomedical instrumentation: theoretical and experimental studies
  • Optoelectronic methods and instrumentation for biomedical smart sensors
• Tutor: Renato Seeber
  • Development of Innovative Sensor Systems
  • Development of algorithms and databases for drug precursors identification
• Tutor: Luca Selmi
  ---
  • Simulation and Characterization of Massively Parallel Electronic Sensing Nano-Devices for the Internet of Things / Internet of Health [Cotutors: Luigi Rovati, Prof. Pierpaolo Palestri]
  • Alternative semiconductor materials and architectures for nanoelectronic devices [Cotutors: Francesco Maria Puglisi, Prof. Paolo Pavan]
  • Alternative semiconductor materials and architectures for nanoelectronic devices [Cotutors: Francesco Maria Puglisi, Prof. Paolo Pavan]
  • Ion-tronic sensors and actuators for the agrifood and neuroscience and sectors [Cotutors: Prof. Pierpaolo Palestri, Ing. Federico Leva, Dr. Ing. J.L. Mele]
  • Nanosecond timescale self-heating effects in advanced FinFET and FDSOI nanoscale MOSFETs [Cotutors: Alessandro Chini]
  • Computational analysis of advanced devices and components for sustainable electronics - Grant by PNRR ECOSISTER SPOKE 6
• Tutor: Giovanni Verzellesi
  • Compound-Semiconductor Devices for Electronics and Optoelectronics Applications
• Tutor: Luca Vincetti
  • Hollow core optical fibers for high power beam delivery
  • Development of innovative sensors for liquid and gas sensing based on hollow core optical fibers
  • Development of innovative microwave antenna arrays for localisation and ranging based on angle of arrival and beamforming methods for automotive/aerospace applications
  • Hollow core optical fibers for industrial applications [Cotutors: F. Benabid – University of Limoges (Fr)]
  • Terahertz sources based on photonics technology
  • Hollow core optical fibers for industrial applications [Cotutors: F. Benabid – University of Limoges (Fr)]
  • Hollow core optical fibers for industrial applications
  • Hollow-core optical fibers for quantum sensing
  • EMI characterization of power unit conversion stages for E-mobility
  • Hollow-core optical fibers for quantum applications
• Tutor: Giorgio Matteo Vitetta
  • Bayesian filtering and smoothing, and system identification algorithms: theory and applications to digital communications, localization and navigation.
  • Algorithms and circuits for wideband communication systems
  • Statistical Signal Processing Algorithms based on Factor Graphs and Monte Carlo Methods
  • Demand side management system over powerline communication networks
  • Algorithms and protocols for low power wireless sensor networks
  • Advanced techniques for power flow management and data communications in smart micro-grids
  • Indoor localization and navigation systems based on hybrid technologies
  • In-vehicle powerline communications
  • Multiple-input multiple-output radars for automotive applications [Cotutors: Maria Luisa Merani]
  • Bayesian filtering and smoothing, and system identification algorithms: theory and applications to digital communications, localization and navigation.
  • Multiple-input multiple-output radars for automotive applications
  • Tracking of Extended Objects in Multiple-Input Multiple-Output Radar Systems
  • Tracking of Extended Objects in collocated Multiple-Input Multiple-Output Radar Systems
  • Detection and Tracking of the Small Movements of Extended Targets through Mmwave Multiple-Input Multiple-Output Radar Systems
• Tutor: Roberto Zanasi
  • Dynamic Power Control of Hybrid Vehicles by using Multi-Phase Electric Motors
  • Repetitive control for electromechanical systems [Cotutors: Luigi Biagiotti]

Computer Engineering and Science

• Tutor: Domenico Beneventano
  • Using Big Data for healthcare analytics applications
  • Data management for astronomical data and science alerts [Cotutors: Ing. Andrea Bulgarelli (INAF)]
  • Linked Open Data Integration
  • Data Preparation and Data Enrichment
  • Pay-as-you go Big Data Integration [Cotutors: Sonia Bergamaschi, Felix Naumann –University of Postdam]
  • Pay-as-you go Big Data Integration [Cotutors: Sonia Bergamaschi, Felix Naumann –University of Postdam]
  • Privacy-preserving Big Data Integration [Cotutors: Giovanni Simonini]
  • Privacy-Preserving Record Linkage for E-Health - Grant by MUR/DM351 and ER [Cotutors: Sonia Bergamaschi]
  • Privacy-preserving Big Data Integration [Cotutors: Sonia Bergamaschi]
• Tutor: Sonia Bergamaschi
  • Pay-as-you go Big Data Integration [Cotutors: Felix Naumann –University of Postdam]
  • Ontology and Knowledge Sharing in eHealth
  • Big Data and the Semantic Web
  • Collective knowledge management
  • Extracting semantics, integrating and querying web forms
  • Design of a Platform for Retrieving, Managing and Sharing Collective Knowledge
  • Big Data Management of large scientific datasets
  • Artificial Conversational Entity (Chatbot) [Cotutors: prof . Roberto Zicari,Carl Goethe University, Frankfurt]
  • Intelligent Big Data Management and Analysis of Medical Internet devices (mHealth)
  • Pay-as-you go Big Data Integration [Cotutors: Felix Naumann –University of Postdam]
  • Action Recognition to estimate Activities of Daily Living (ADL) of elderly people
  • Task-driven Big Data Integration [Cotutors: Giovanni Simonini]
  • Task-driven Big Data Integration [Cotutors: Giovanni Simonini]
  • High Perfomance Data-Integration for AI - Grant by Leonardo
  • Data Management, analytics and intelligent AI-based knowledge extraction for multilingual and multi-alphabetic heritages
• Tutor: Nicola Bicocchi
  • Software Infrastructures for Smart Cities and Autonomous Systems
• Tutor: Flavio Bonfatti
  • Knowledge-enabled Access of SMEs to the Electronic Market
  • Adaptive Networked Small Factories of the Future
• Tutor: Giacomo Cabri
  • Autonomic computing for Collective adaptive systems
  • Software engineering for industrial software development, verification and validation
  • Self-awareness in autonomic systems
  • Dynamic management of Agent Oriented Methodologies and Infrastructures
  • Algorithms and models for building context-dependent systems and applications
  • Self-adaptive Smart cities
  • Autonomic computing for Collective adaptive systems
  • Software engineering for industrial software development, verification and validation
  • Autonomic computing for collective self-adaptive systems
  • Autonomic computing for collective self-adaptive systems
  • Autonomic computing for collective self-adaptive systems
• Tutor: Simone Calderara
  • Discovering and debiasing prejudice transfer between data annotation and deep learning models
  • Continual learning techniques applied to lifelong systems
  • Few shot and zero shot learning in lifelong scenarios
  • Few shot and zero shot continual learning
  • Latent space geometry for incremental knowledge representation
• Tutor: Michele Colajanni
  • Cyber security
  • Cloud computing for future Internet-based services
  • Self-adaptive solutions for high quality Web-based services of the future
  • Middleware solutions for the protection of geographically distributed systems
  • Cloud computing for future Internet-based services
  • Innovation and applications of blockchain technologies
  • Novel methodologies for the cyber security of the future
• Tutor: Rita Cucchiara
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  • Computer Vision for attention analysis in Car drivers
  • Computer Vision and Multimedia for cultural Heritage video understanding
  • Human Behavior Understanding by Computer Vision in the Deep Learning Era
  • Deep learning for segmentation in video streams: from bottom up to semantic reasoning on people
  • Learning (social) human behaviours by computer vision
  • Multimedia Data Learning: Processing, Understanding, Retrieval by new Deep Learning paradigms - Grant by Fondo Sociale Europeo PO 2014-2020 Regione Emilia-Romagna
  • Visual Intelligence for mobile autonomous robots
  • Human Behavior Understanding by Computer Vision in the Deep Learning Era
  • Computer Vision and Artificial Intelligence for Automotive applications
  • Artificial Intelligence for Cultural Heritage
  • Explainable AI in Human AI Interaction [Cotutors: Natalia Díaz-Rodrígue, Inria France]
  • Trustworthy self-attentive models for visual-semantic understanding [Cotutors: Lorenzo Baraldi, Natalia Díaz-Rodrígue, Inria France]
  • Integration of vision and language for human-robot interaction
  • Object and People Recognition for Personalized Interaction
  • Open World and Few-Shot Object Detection and Semantic Segmentation - Grant by Leonardo
  • Causal representation learning and modular Artificial Intelligence for human action understanding [Cotutors: Enver Sangineto]
  • Trustworthy self-attentive models for visual-semantic understanding, matching and verification
  • Multimedia Learning for Automatic Metadata Extraction from Cultural and Historical Archives - Grant by PNRR project “Italian Strengthening of Esfri RI Resilience” [Cotutors: Marcella Cornia]
  • Deep Learning-based Architectures for Document Analysis - Grant by PNRR project “Italian Strengthening of Esfri RI Resilience” [Cotutors: Silvia Cascianelli]
  • Computer Vision Solutions for Cultural and Historical Multimodal Sources - Grant by PNRR project “Italian Strengthening of Esfri RI Resilience”
• Tutor: Elisa Ficarra
  • Deep Learning techniques and multimodal learning in Healthcare
  • Development of deep learning techniques based on Graph Neural Networks for the integration of heterogeneous and multiscale data
• Tutor: Costantino Grana
  • Optimization of Binary Image Processing Algorithms
  • Deep learning techniques for skin lesion analysis and automated diagnosis systems
  • Design and development of the European Computer Vision Library
  • 2D and 3D Medical Imaging with Deep Learning Techniques
• Tutor: Francesco Guerra
  • Integration of large and open datasets
  • Search and Analysis of Big Data Sources
  • Integration of large and open datasets
  • Machine Learning techniques for Databases [Cotutors: Matteo Interlandi (Microsoft)]
  • Machine Learning techniques for Databases [Cotutors: Matteo Interlandi (Microsoft)]
  • Intelligent Techniques and Natural Language Processing for (Explainable) Data Integration
  • Data analysis of the criminal and civil trial in order to structure a predictive system of the times of the trial - Grant by MUR/DM351 and Tribunale Modena
  • Natural Language Processing for Explainable Data Analysis and Integration
• Tutor: Riccardo Lancellotti
  • Management techniques for edge computing platforms
  • Management techniques for edge computing platforms
  • Edge computing platforms for the support of complex applications
• Tutor: Letizia Leonardi
  • Agent-Based Environments for Ambient Intelligence applied to E-Health
  • Ambient Intelligence applied for E-Health. Agent-Based approaches
  • Social Computing: from theory to applications
  • Adaptive Middleware for the Internet of Things
  • Adaptive Middleware for the Internet of Things [Cotutors: Giacomo Cabri, Prof. Franco Zambonelli (DISMI)]
  • Adaptive Middleware for the Internet of Things [Cotutors: Giacomo Cabri, Prof. Franco Zambonelli (DISMI)]
  • Adaptive Middleware for the Internet of Things
• Tutor: Federica Mandreoli
  • Technologies for querying streaming, historical and temporal data
  • Mapping discovery in graph dataspaces
  • Big data analytics and prediction techniques for healthy aging to support health-care professionals and self-management in routine care of older people [Cotutors: Riccardo Martoglia]
  • Data Analytics and Machine Learning for P4 medicine
  • Data Analytics and Machine Learning for P4 medicine
• Tutor: Mirco Marchetti
  • Cybersecurity for Cyber-Physical systems
  • Cybersecurity for Cyber-Physical systems
• Tutor: Riccardo Martoglia
  • Approximate querying of (social) graph data
  • Data Management for Mobile Pervasive Applications
  • Qualitative and quantitative data analysis for effective diffusion, prediction and tweet composition assistance in a Cultural Heritage promotion scenario
  • Approximate querying of (social) graph data
  • Qualitative and quantitative data analysis for effective diffusion, prediction and tweet composition assistance in a Cultural Heritage promotion scenario
  • Qualitative and quantitative data analysis for effective diffusion, prediction and tweet composition assistance in a Cultural Heritage promotion scenario
• Tutor: Laura Po
  • Big Data Analytics in a Sustainable Smart City
  • Traffic Modelling and Simulation for Smart Mobility
  • Mobility Data Modelling and Mining for Smart Cities
  • Deep learning for Event Extraction from Web Data Streams
  • Graph Data Science and Digital Twin for Urban Mobility Analysis and Planning
• Tutor: Roberto Serra
  • Dynamical regimes of evolved systems [Cotutors: Marco Villani]
  • Perpetual Novelty in Agent-Based Models
  • Learning Boolean Networks and Critical Behaviour
• Tutor: Giovanni Simonini
  • Big Data and Artificial Intelligence for Energetic Virtuosity in Local Energy Communities [Cotutors: Sonia Bergamaschi]
  • Foundational Models for Data Preparation [Cotutors: Sonia Bergamaschi]
• Tutor: Roberto Vezzani
  • Computer Vision and Artificial Intelligence for Collaborative Robotic Environments
  • Computer Vision and Artificial Intelligence for Collaborative Robotic Environments
  • Computer Vision and Artificial Intelligence for Human Robot Interaction
  • Computer Vision and Artificial Intelligence for Human Robot Interaction
• Tutor: Marco Villani
  • Dynamical regimes in evolved systems
  • Multi-level organization of complex systems
  • Multi-level organization of complex systems
  • Multi-level organization of complex systems
• Tutor: Maurizio Vincini
  • Real Time Business Intelligence
  • On-Demand Business Intelligence

Industrial applications of ICT

• Tutor: Davide Barater
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  • Wide-bandgap based Power converters for improved efficiency and reliability - Grant by YESVGAN ECSEL [Cotutors: Giovanni Franceschini]
  • Design of electric drives for a more sustainable agriculture - Grant by CNH
  • Design of more-electric tractors for a more sustainable agriculture - Grant by CNH
• Tutor: Sonia Bergamaschi
  • (Big) Data management
  • Big Data Integration - Grant by Emilia Romagna region
  • Artificial Conversational Entity (Chatbot) - Grant by QUIX [Cotutors: ing. Andrea Prandini]
  • Deep Learning for Audio-Visual Speech Enhancement and Separation [Cotutors: Leonardo Badino (Istituto Italiano di Tecnologia)]
  • Artificial Conversational Entity (Chatbot) - Grant by QUIX Srl [Cotutors: ing. Andrea Prandini , prof . Roberto Zicari,Carl Goethe University, Frankfurt]
  • Artificial Conversational Entity (Chatbot) [Cotutors: ing. Andrea Prandini, dott. Riccardo Martoglia]
  • Big Data per processi industriali sostenibili - Position reserved to company employee of Datariver
• Tutor: Luigi Biagiotti
  • Predictive methods for the control of cogeneration plant - Grant by CPL Concordia Soc. Coop [Cotutors: dott. Vaccari Alessio]
• Tutor: Simone Calderara
  • Machine Learning for analysis and recognition of livestock in the wild. - Grant by Farm4Trade srl
  • Structured deep learning techniques and application for the future farm - Grant by farm4trade
  • Deep learning deployment in the future farm - Grant by farm4trade [Cotutors: Andrea Capobianco Dondona]
  • Generative models and and deep learning for fintech - Position reserved to company employee of Posto riservato per dottorato industriale per dipendente Axyon AI Srl [Cotutors: Daniele Grassi Axyon AI]
  • Graph neural networks for structured time series prediction in industrial application - Grant by Ammagamma [Cotutors: Cosimo Fiorini]
  • Graph neural networks for structured data support and analysis - Grant by Ammagamma [Cotutors: Cosimo Fiorini]
  • AI and Deep Learning for the future farming - Grant by Farm 4 Trade s.r.l. [Cotutors: Ercole del Negro]
  • AI techniques for time series analysis and prediction exploiting structured information - Grant by MUR/DM352 and Ammagamma
  • Novel deep Learning techniques under weakly and uncertain annotation in continuous and batch regime - Grant by MUR/DM352 and Axyon
  • AI techniques for time series analysis and prediction exploiting structured information (2) - Grant by MUR/DM352 and Ammagamma
• Tutor: Alessandro Chini
  • Caratterizzazione e simulazioni TCAD di dispositivi di potenza in nitruro di gallio - Position reserved to company employee of STM
• Tutor: Michele Colajanni
  • Supporting industrial innovation and internationalization through information technology and business management
  • Sicurezza di infrastrutture, applicazioni e dati
  • Protection and valorization of industrial data - Grant by System Spa [Cotutors: Mauro Andreolini]
• Tutor: Rita Cucchiara
  • Multimedia and Deep Learning technologies for Video Understanding - Grant by Metaliquid
  • Multimedia Data Learning: Big Multimedia Data Processing, Understanding, Retrieval by Learning
  • Deep Learning and 3D Computer Vision for Fashion industry
  • Cross-modal understanding and generation of Vision and Language content
  • Document Understanding e Natural Language Processing - Grant by MUR/DM352 and Altilia [Cotutors: Lorenzo Baraldi]
  • Computer Vision technologies for 3D Vehicle digitization and understanding - Grant by MUR/DM352 and Prometeia [Cotutors: Lorenzo Baraldi]
  • Advances in (Self-attentive and semi-supervised) AI Architectures for large scale, explainable Image Retrieval - Grant by MUR/DM352 and Leonardo
  • tbd - Position reserved to company employee of DataLogic
  • Deep Learning for Natural Language Processing and Document Understanding - Position reserved to company employee of Altilia
  • AI in Fintech: Semi-supervised Learning for Transactional Time Series and Financtial Data - Position reserved to company employee of Prometeia Associazione [Cotutors: Enver Sangineto]
• Tutor: Elisa Ficarra
  • Studying host-pathogen interaction via microscopy and Deep Learning: application to antimicrobial resistant bacteria and monoclonal antibodies discovery - Grant by MUR/DM352 and Toscana Life Science
• Tutor: Giovanni Franceschini
  ---
  • High Efficiency Power Converters based on Wide Bandgap Devices [Cotutors: Andrea Stefano Crinto]
  • High Dynamic full digital control of IPM motors based on magnetic models [Cotutors: Andrea Stefano Crinto]
  • High reliable and sustainable Electrical machines for vehicle electrification - Grant by MUR/DM351 and TRANSFORM ECSEL [Cotutors: Davide Barater]
  • Novel high performance electric motors by means of additive manufacturing and innovative materials - Grant by MUR/DM352 and RAWPower
  • Power converters for improved efficiency and reliability of electric vehicles - Grant by HPE COXA
• Tutor: Laura Giarrè
  • Modeling and Control of Mechatronic Systems [Cotutors: Roberto Zanasi, Luigi Biagiotti]
• Tutor: Costantino Grana
  • Healthcare applications of Artificial Intelligence, Computer Vision and Medical Imaging - Grant by MUR/DM352 and Miliaris
• Tutor: Francesco Guerra
  • Development, implementation and testing of techniques based on time series and data mining to environmental, hydrological and hydraulic data - Grant by Bacino Distrettuale del fiume Po [Cotutors: dr. ing. Silvano Pecora]
• Tutor: Letizia Leonardi
  • Innovative Signaling Application based on usage of formal/semiformal methods - Grant by Alstom Bologna [Cotutors: Nicola Bicocchi]
• Tutor: Laura Po
  • Interactive Visualisation Techniques for Complex Data
• Tutor: Luigi Rovati
  • Development and industrialization of an innovative brain protection system in case of acute injuries
  • New sensors and electronics for optimal air/gas ratio control for future gas appliances
  • Nanotechnology approaches for advances sensing: design, development and applications [Cotutors: Giorgio Sberveglieri]
  • Study, design,and realizationof non-invasive sensors for blood analytes using low-cost technologies - Grant by Life Elttronica
• Tutor: Luca Selmi
  • Iontronic actuators and nanowire devices for neuron activity stimulation and sensing [Cotutors: Prof. Pierpaolo Palestri, Ing. Denis Brandalise, Ing. J.L. Mele]
• Tutor: Roberto Vezzani
  • Computer Vision and Artificial Intelligence for HMI and autonomous driving in automotive - Grant by Ferrari SpA
  • Time series analysis for anomaly detection and predictive maintenance in industrial applications - Position reserved to company employee of Posto riservato per dottorato industriale per dipendente Expert Lab
  • 3D Human pose estimation in industrial environments - Grant by DIEF Department [thanks to Toyota Motors Europe]- prof. Vezzani
• Tutor: Luca Vincetti
  • Photonic Technologies for real time monitoring of product quality in manufacturing and agri-food industry [Cotutors: Alessandro Candiani (DNA Phone)]
  • Photonic Technologies for real time monitoring of product quality in manufacturing and agri-food industry
  • Development of simulation tools for quantum applications of hollow core fibers - Grant by MUR/DM351 and FET open CRYST^3
  • Antennas, ElectroMagnetic Compatibility (EMC) and electromagnetic simulations - Position reserved to company employee of Embit
• Tutor: Giorgio Matteo Vitetta
  • SoC usage in railway signalling applications - Grant by Alstom Bologna
  • Multiple-input multiple-output radars for automotive applications
  • Use of LoRaWAN and ultrawideband technologies for precise localization applications - Grant by MUR/DM352 and Embit [Cotutors: Maria Luisa Merani]