Projects
REGIONAL SCHOLARSHIPS
• Big data in the management of autonomous vehicle fleets in industry: analysis of sensory data, detection and prediction of faults and optimization of system operation
• Multisensory Analysis based on Deep Learning for an Innovative, Sustainable and Safe Mobility
• Methods for knowledge verification and update in Large Language Models: towards a reliable and adaptable artificial intelligence
SCHOLARSHIPS FUNDED BY COMPANIES
• Electrification of endothermic and hydraulic components and systems for machinery
• Design and programming of a mobile manipulator for grasping and transportation of packages in industrial environments
PON SCHOLARSHIPS
• Development of innovative batteries charging systems for automotive applications
• Smart drives, enriched by fusion of real and virtual sensors, control and prognostic algorithms, for the exploitation of reluctance motors in industry efficiency improvement, support to reliable renewable energy generation, green and sustainable mobility (to abandon rare materials).
• Novel optical components with low energy-per-bit consumption and low cost, based on silicon photonics and graphene-enhanced silicon photonics, for next-generation high-speed telecommunications
• SPA: Smart distributed systems for Precision Agriculture
• GreenIoT: innovative technologies and techniques for the design and implementation of large scale IoT systems with high energy efficiency
• Study and development of machine learning methods to monitor the status of renewable energy production plants
SCHOLARSHIPS FUNDED BY THE DEPARTMENT OF ENGINEERING AND ARCHITECTURE
• Study and implementation of control systems for collaborative robots.
• Development and implementation of machine learning techniques for the online monitoring of optical communication links
• Study and development of data collection and analysis models for optimized management of water distribution networks
• Study and development of simulation methods for complex systems based on Artificial Intelligence (AI) techniques
• Study of path planning strategies for Autonomous Vechicles by means of imitation or reinforcement learning techniques
• Study and development of IoT systems for data collection and analysis in smart agriculture applications
SCHOLARSHIPS PNRR DM 351/2022
• Study and development of underwater communication systems based on visible light communication technology: channel modeling, performance evaluation in typical 6G scenarios, integration with terrestrial, wireless, and satellite networks
SCHOLARSHIPS PNRR DM 352/2022
• Smart Converters for Hybrid and Electric propulsion and generation in Marine Applications (SCHEMA), with sensorless control and virtual sensing
SCHOLARSHIPS PNRR DM 117/2023
• Design and implementation of a scalable IoT architecture with distributed intelligence and integration of heterogeneous communication protocols for innovative smart city applications
SCHOLARSHIPS PNRR DM 118/2023
• Analysis and development of Artificial Intelligence-based techniques and tools for automatic discovery and improvement of PA business processes from events and data generated by the information systems in use
SCHOLARSHIPS PNRR DM 630/2024
• (Study of) innovative methodologies and experimental evaluation for efficient and robust recommender systems based on Machine Learning techniques.
• Design and implementation of multi-interface IoT gateways with embedded intelligence
• Study of techniques for sensor fusion using cameras, radars, or lidars exploiting AI for ADAS and Autonomous driving systems
• Development of algorithms for motion planning and coordination of a fleet of autonomous vehicles
MARIE SKLODOWSKA-CURIE ACTIONS – COFUND “Training Future Big Data Experts for Europe (FutureData4EU)”
Contacts
PhD contacts
Coordinator
Prof. Marco LOCATELLI
T. +39 0521 905711
E. marco.locatelli@unipr.it
Deputy Coordinator
Prof. Jacopo ALEOTTI
T. +39 0521 905727
E. jacopo.aleotti@unipr.it
Teaching quality manager
Dott.ssa Monia BERTOLI
T. 905877 - 5800
E. monia.bertoli@unipr.it
UO Formazione Post Lauream - PhD Office
P.le San Francesco 3 – 43121 Parma
Contacts
T. +39 0521 034214
E. dottorati@unipr.it