DOCTORATE IN INDUSTRIAL AND INFORMATION ENGINEERING
Description and objectives of the course
The PhD Course in Industrial and Information Engineering aims to study and develop new models and technologies in the various scientific sectors the Department covers. The course is divided into two distinct curricula, Curriculum in Industrial Engineering and Curriculum in Information Engineering, but at the same time, it offers common training and seminar activities. The training and research activities foster close collaboration with professors of other departments and other Italian and foreign universities. The training activity, organized in credits (CF - crediti formativi), has the primary objective of developing the research attitudes of Doctoral students.
Specific Competences
- The Curriculum in Industrial Engineering provides skills on research and new design methodologies specifically oriented toward the fields of energy systems, industrial plants, mechanical design, mechanical technology, mechanical measurements, and electrical engineering.
- The Curriculum in Information Engineering provides skills on research and new design methodologies specifically oriented toward the fields of electronics, electronic measurements, signal propagation, telecommunications, computer science, and automation.
Contacts
- Coordinator: Prof. Giuseppe Liotta
- Email: giuseppe.liotta@unipg.it
- Tel: +39 075 5853685
- Secretary: Dott.ssa Elisabetta Buonumori
- Email: elisabetta.buonumori@unipg.it
- Tel: +39 075 5853604, Fax: +39 075 5853606
Guidelines and information on study abroad
These Guidelines describes in detail the training activities planned during the three years and the related credit acquisition mechanisms. The Guidelines also provides precise information on the requirements and methods for passing each course year and for obtaining the final doctoral degree.
- Doctoral Regulation applied from the XL cycle (enrollment from Jan. 2025)
- Annual Report on the PhD Activity (Annex 1)
- Doctoral Regulation applied from the XXXIX cycle (enrollment from Nov. 2023)
- Annual Report on the PhD Activity (Annex 1)
- Doctoral Regulation applied from the XXXVIII cycle (enrollment from Nov. 2022)
- Annual Report on the PhD Activity (Annex 1)
- Information on how to organize your period of study abroad
CYCLE XLI - Academic Year 2025/2026
- Composition of the teaching staff [pdf]
- Training activities
- The organization of the training activity is described in detail in the Regulation and is common to the two curricula. The next table reports the distribution of the minimum credits expected in the three years of the course:
For additional details, please see the Doctoral Regulation.Expected CFU Training activities I Year II Year III Year Doctoral modules 9 6 Multi/inter/trans-disciplinary modules 2 2 2 Congresses, seminars, and doctoral schools 1 4 4 Total 12 12 6 - List of PhD teaching modules
- The organization of the training activity is described in detail in the Regulation and is common to the two curricula. The next table reports the distribution of the minimum credits expected in the three years of the course:
- Student list [pdf]
CYCLE XL - Academic Year 2024/2025
- Composition of the teaching staff [pdf]
- Training activities
- The organization of the training activity is described in detail in the Regulation and is common to the two curricula. The next table reports the distribution of the minimum credits expected in the three years of the course:
For additional details, please see the Doctoral Regulation.Expected CFU Training activities I Year II Year III Year Doctoral modules 9 6 Multi/inter/trans-disciplinary modules 2 2 2 Congresses, seminars, and doctoral schools 1 4 4 Total 12 12 6 - List of PhD teaching modules
- The organization of the training activity is described in detail in the Regulation and is common to the two curricula. The next table reports the distribution of the minimum credits expected in the three years of the course:
- Student list [pdf]
CYCLE XXXIX - Academic Year 2023/2024
- Composition of the teaching staff [pdf]
- Training activities
- The organization of the training activity is described in detail in the Regulation and is common to the two curricula. It consists of:
(1) Basic research training (includes training activities within master degree courses and doctoral teaching modules – see list of teaching modules below);
(2) Specialistic research training (includes the acquisition of specialistic scientific skills, participation in schools, seminars, and congresses, as well as a period of training and research in foreign universities or research institutions);
(3) Research activity (includes writing of the thesis and publications in congresses and scientific journals).
These activities are distributed over the three years of the doctoral course as follows:- First Year: 23 CF in the activity type (1); 18 CF in the activity type (2); 20 CF in the activity type (3).
- Second Year: 10 CF in the activity type (1); 24 CF in the activity type (2); 25 CF in the activity type (3).
- Third Year: 15 CF in the activity type (2); 45 CF in the activity type (3).
- List of PhD teaching modules
- The organization of the training activity is described in detail in the Regulation and is common to the two curricula. It consists of:
- Call for application (see also the ENGLISH VERSION section on this page for futher related documents))
- Student list [pdf]
CYCLE XXXVIII - Academic Year 2022/2023
- Composition of the teaching staff [pdf]
- Topics
Curriculum Industrial Engineering
- Business Intelligence in the Era of Big Data (A. Fronzetti Colladon)
- Shape and texture features for the analysis of two- and three-dimensional images: methods and applications (F. Bianconi)
- Innovative and hybrid energy storage solutions coupled to RES plants with low or mitigated safety issues, with attention to raw materials exploitation, cyrcular economy, safety and social impact aspects (L. barelli)
- Enzymatic fuel cell technology for energy production from bio-sources and enzymatic path for ammonia production as energy vector (L. barelli)
- Reducing CO2 emissions through CCU and green hydrogen technologies (L. barelli)
- Urban catabolites monitoring and treatment for environmental protection and surveillance (F. Di Maria)
- Early fault detection and lifetime optimization methods for rotating machinery (F. Castellani)
- Experimental analysis and numerical simulation of batteries for automotive application (L. Postrioti, E. Cardelli)
- 3D-printed smart structures for dynamic measurement (F. Cianetti)
- Advanced in Sine on Random Spectra statistical characterization (F. Cianetti)
- Advanced industrial solutions for waste recycling and recovery and related sustainability assessment (F. Di Maria)
- High Fidelity Simulations and experiments of Cryogenic Carbon capture Process (M. Battistoni)
- Development of innovative combustion systems for internal combustion engines, aimed at reducing pollutant emissions and energy consumption (C. N. Grimaldi)
Information Engineering Curriculum
- Business Intelligence in the Era of Big Data (A. Fronzetti Colladon)
- Visual Analytics for Big Data and Complex Networks (G.Liotta, W. Didimo)
- Remote Sensing for Earth Observation with Machine Learning techniques (S.Bonafoni)
- Satellite Remote Sensing for hydrological applications (S. Bonafoni)
- Deep Learning and Deep Reinforcement Learning strategies for vision-based autonomous navigation in robotic applications (G.Costante)
- Millimeter-wave transceivers and radiometers for RADIOSCIence CubeSat missions - RADIOSCI (F. Alimenti, P. Mezzanotte)
- Algorithm Engineering and Parameterized Complexity (G.Liotta, F. Montecchiani)
- Advanced Radiation Sensors and Readout CMOS Architectures for applications in harsh environment (D. Passeri, P. Placidi)
- Edge machine learning and signal processing for wireless networked systems (P. Banelli)
- Intelligent and IoT-Based Systems for Soil Monitoring in a Sustainable Economy (M. Cecconi, P. Placidi, A. Scorzoni)
- Clever sensing for IoT (Paolo Carbone, Antonio Moschitta, Alessio De Angelis)
- Molecular communications for interfacing and modeling living systems (M. Femminella)
- Network Design and Operation Through Artificial Intelligence in 6G (G. Reali)
- Compostable Electronics for Smart Health Systems CE4SHS (F. Alimenti)
- Training activities
- The organization of the training activity is described in detail in the Regulation and is common to the two curricula. It consists of:
(1) Basic research training (includes training activities within master degree courses and doctoral teaching modules – see list of teaching modules below);
(2) Specialistic research training (includes the acquisition of specialistic scientific skills, participation in schools, seminars, and congresses, as well as a period of training and research in foreign universities or research institutions);
(3) Research activity (includes writing of the thesis and publications in congresses and scientific journals).
These activities are distributed over the three years of the doctoral course as follows:- First Year: 23 CF in the activity type (1); 18 CF in the activity type (2); 20 CF in the activity type (3).
- Second Year: 10 CF in the activity type (1); 24 CF in the activity type (2); 25 CF in the activity type (3).
- Third Year: 15 CF in the activity type (2); 45 CF in the activity type (3).
- List of PhD teaching modules
- The organization of the training activity is described in detail in the Regulation and is common to the two curricula. It consists of:
- Call for application (see also the ENGLISH VERSION section on this page for futher related documents)
- Student list [pdf]
- Procedure for achieving the Ph.D. Degree
CYCLE XXXVII - Academic Year 2021/2022
- Topics
Curriculum Industrial Engineering
- Business Intelligence in the Era of Big Data (A. Fronzetti Colladon)
- Shape and texture features for the analysis of two- and three-dimensional images: methods and applications (F. Bianconi)
- Innovative and hybrid energy storage solutions coupled to RES plants with low or mitigated safety issues, with attention to raw materials exploitation, cyrcular economy, safety and social impact aspects (L. barelli)
- Enzymatic fuel cell technology for energy production from bio-sources and enzymatic path for ammonia production as energy vector (L. barelli)
- Reducing CO2 emissions through CCU and green hydrogen technologies (L. barelli)
- Urban catabolites monitoring and treatment for environmental protection and surveillance (F. Di Maria)
- Early fault detection and lifetime optimization methods for rotating machinery (F. Castellani)
- Experimental analysis and numerical simulation of batteries for automotive application (L. Postrioti, E. Cardelli)
- 3D-printed smart structures for dynamic measurement (F. Cianetti)
- Advanced in Sine on Random Spectra statistical characterization (F. Cianetti)
Information Engineering Curriculum
- Business Intelligence in the Era of Big Data (A. Fronzetti Colladon)
- Visual Analytics for Big Data and Complex Networks (G.Liotta, W. Didimo)
- Remote Sensing for Earth Observation with Machine Learning techniques (S.Bonafoni)
- Satellite Remote Sensing for hydrological applications (S. Bonafoni)
- Deep Learning and Deep Reinforcement Learning strategies for vision-based autonomous navigation in robotic applications (G.Costante)
- Millimeter-wave transceivers and radiometers for RADIOSCIence CubeSat missions - RADIOSCI (F. Alimenti, P. Mezzanotte)
- Algorithm Engineering and Parameterized Complexity (G.Liotta, F. Montecchiani)
- Advanced Radiation Sensors and Readout CMOS Architectures for applications in harsh environment (D. Passeri, P. Placidi)
- Edge machine learning and signal processing for wireless networked systems (P. Banelli)
- Intelligent and IoT-Based Systems for Soil Monitoring in a Sustainable Economy (M. Cecconi, P. Placidi, A. Scorzoni)
- Clever sensing for IoT (Paolo Carbone, Antonio Moschitta, Alessio De Angelis)
- Molecular communications for interfacing and modeling living systems (M. Femminella)
- Network Design and Operation Through Artificial Intelligence in 6G (G. Reali)
- Training activities
- The organization of the training activity is described in detail in the Regulation and is common to the two curricula. It consists of:
(1) Basic research training (includes training activities within master degree courses and doctoral teaching modules – see list of teaching modules below);
(2) Specialistic research training (includes the acquisition of specialistic scientific skills, participation in schools, seminars, and congresses, as well as a period of training and research in foreign universities or research institutions);
(3) Research activity (includes writing of the thesis and publications in congresses and scientific journals).
These activities are distributed over the three years of the doctoral course as follows:- First Year: 23 CF in the activity type (1); 18 CF in the activity type (2); 20 CF in the activity type (3).
- Second Year: 10 CF in the activity type (1); 24 CF in the activity type (2); 25 CF in the activity type (3).
- Third Year: 15 CF in the activity type (2); 45 CF in the activity type (3).
- List of PhD teaching modules (Updated on 24/08/2021)
- The organization of the training activity is described in detail in the Regulation and is common to the two curricula. It consists of:
- Call for application
- Student list [pdf]
CYCLE XXXVI - Academic Year 2020/2021
- Composition of the teaching staff [pdf]
- Topics
Curriculum Industrial Engineering
- Business Intelligence in the Era of Big Data (A. Fronzetti Colladon)
- Innovative and hybrid energy storage solutions coupled to RES plants with low or mitigated safety issues (L. barelli)
- Enzymatic fuel cell technology for energy production from bio-sources (L. barelli)
- Reducing CO2 emissions through CCU and green hydrogen technologies (L. barelli)
- Computational Fluid Dynamics (CFD) modeling of trans- and super-critical multicomponent flows (M. Battistoni)
- Shape, colour and texture features for the analysis of two- and three- dimensional images: methods and applications (F. Bianconi)
- Development of procedures for fatigue-based design and vibration qualification of mechanical components (F. Cianetti)
- Development of innovative combustion systems for internal combustion engines, aimed at reducing pollutant emissions and energy consumption (C. N. Grimaldi)
- Development and optimization of a hybrid powertrain with multiple energy recovery systems (C. N. Grimaldi)
- Development of measurement techniques for Additive Manufacturing (R. Marsili)
- Design and analysis of modular grippers for robotics applications (M. C. Valigi)
- Development of experimental methodologies for the fluid-dynamic analysis of pre-chamber systems for spark ignition internal combustion engines (L. Postrioti)
- Design and management of industrial systems through Parametric Simulation models in the Industry 4.0 era (L. Tiacci)
- Applications of Nonlinear Systems Modeling techniques (P. Burrascano)
Information Engineering Curriculum
- Business Intelligence in the Era of Big Data (A. Fronzetti Colladon)
- Microwave Sensors for Hydraulic Monitoring and IoT (F. Alimenti)
- Remote Sensing for Earth Observation with Machine Learning techniques (S. Bonafoni)
- Satellite Remote Sensing for hydrological applications (S. Bonafoni)
- Smart sensing for the IoT (P. Carbone)
- Molecular communications for interfacing and modeling living systems (M. Femminella)
- Machine learning and Statistical Techniques for the Robust Fault Diagnosis and Prognostics of Mecatronic, Robotic and Industrial systems (M. L. Fravolini)
- Bridging the gap between advanced artificial intelligence algorithms and nano-class Unmanned Aerial Vehicles (UAVs) for robotic applications (G. Costante)
- Visual Analytics for Big Data and Complex Networks (G. Liotta, W. Didimo)
- Algorithm Engineering and Parameterized Complexity (F. Montecchiani)
- Advanced radiation sensors VLSI design in CMOS technology (D. Passeri, P. Placidi)
- Intelligent autonomous vehicles and robots: solving the whole algorithm stack from visual odometry and SLAM to target driven navigation by using deep learning methods (P. Valigi)
- Network Design and Operation Through Artificial Intelligence in 6G (G. Reali)
- Wireless RF Systems for Industrial Application in Harsh Enviroinment (L. Roselli)
- Applications of Nonlinear Systems Modeling techniques (P. Burrascano)
- Intelligent and IoT-Based Systems for Soil Monitoring in a Sustainable Economy (A. Scorzoni, M. Cecconi, P. Placidi)
- Training activities
- The organization of the training activity is described in detail in the Regulation and is common to the two curricula. It consists of:
(1) Basic research training (includes training activities within master degree courses and doctoral teaching modules – see list of teaching modules below);
(2) Specialistic research training (includes the acquisition of specialistic scientific skills, participation in schools, seminars, and congresses, as well as a period of training and research in foreign universities or research institutions);
(3) Research activity (includes writing of the thesis and publications in congresses and scientific journals).
These activities are distributed over the three years of the doctoral course as follows:- First Year: 23 CF in the activity type (1); 18 CF in the activity type (2); 20 CF in the activity type (3).
- Second Year: 10 CF in the activity type (1); 24 CF in the activity type (2); 25 CF in the activity type (3).
- Third Year: 15 CF in the activity type (2); 45 CF in the activity type (3).
- List of PhD teaching modules
- The organization of the training activity is described in detail in the Regulation and is common to the two curricula. It consists of:
- Call for application
- Student list [pdf]
Previous cycles
- XXXV CYCLE
- Call for application
-
Topics
- Advanced industrial solutions for waste recycling and recovery and related sustainability assessment (F. Di Maria);
- Business Intelligence in the Era of Big Data (A. Fronzetti Colladon);
- Remote Sensing for Earth Observation with Machine Learning techniques (S. Bonafoni);
- Microwave RAdars and radiometers for drone-based Hydraulic Monitoring (MiRAHM) (F. Alimenti, R. Vincenti Gatti);
- Silicon integrated Built-In Test Equipments (SiBITE) (F. Alimenti, M. Tiebout);
- Modelling, simulation,and experimental characterization of magnetic materials and components in avionics and industrial applications (E. Cardelli);
- Machine learning and statistical techniques for the robust fault diagnosis of Mecatronic, Robotic and Industrial systems (M. L. Fravolini, P. Valigi);
- Data analysis and processing for smart sensing in advanced manufacturing (N. Senin);
- Innovative and hybrid energy storage solutions coupled to RES plants with low or mitigated safety issues (L. barelli);
- Enzymatic fuel cell technology for energy production from bio-sources (L. barelli);
- Energy and environmental impact of microbial fuel cells application to the animal-waste slurry treatment (L. barelli);
- Reducing CO2 emissions in steelmaking through CCU and green hydrogen technologies (L. barelli);
- Advanced radiation sensors VLSI design in CMOS technology (D. Passeri, P. Placidi);
- Innovative approaches for Wind farms analysis in complex terrain (F. Castellani);
- Diagnosis and Prognosis methods for rotating machinery (F. Castellani);
- Development of simultaneous non-contact stress and tension measurement techniques (R. Marsili);
- Development of hybrid methods for velocity field, stress and strain measurement through image analysis and computer vision algorithms (R. Marsili);
- Network Design and Operation Through Artificial Intelligence (G. Reali, M. Femminella);
- Molecular communications for interfacing and modeling living systems (G. Reali, M. Femminella);
- Development and implementation of CFD-3D methodologies for the analysis of innovative combustion systems for the reduction of polluting emissions and energy consumption by ICEs (C. N. Grimaldi, M. Battistoni, F. Mariani);
- Development of innovative combustion systems for the reduction of polluting emissions and energy consumption by ICEs, and of methodologies for the analysis of their behavior and their production (C. N. Grimaldi);
- Development of innovative Gasoline Direct Injection systems for the reduction of polluting emissions and energy consumption by ICEs, and of methodologies for the analysis of their behavior and their manufacturing (C. N. Grimaldi);
- Geostatistics, reliability and risk analysis for geotechnical systems (M. Cecconi, G. Saccomandi, V. Pane);
- Student list
- Composition of the teaching staff
- XXXIV CYCLE
- Call for application
-
Topics
- Miniaturized Radar/RAdiometer for drone-based microwave remote-Sensing (MIRRAS) (F. Alimenti, S.Bonafoni, R. Vincenti Gatti);
- Predictive Models and Experimental Validation of Multicomponent Dense Spray Dynamics (M. Battistoni);
- Remote Sensing for Earth Observation: Image Processing with Machine Learning (ML) techniques (S.Bonafoni);
- Advanced industrial solutions for waste recycling and recovery and related sustainability assessment (F. Di Maria)
- Innovative and hybrid energy storage solutions coupled to RES plants (L. Barelli)
- Condition monitoring techniques for rotating machinery and applications to wind energy (F. Castellani)
- Machine learning tools for collaborative robotics (P. Valigi)
- Algorithms and systems for graph drawing and network visualization (G. Liotta, W. Didimo)
- Design and management of industrial systems through Parametric Simulation models in the Industry 4.0 era (L. Tiacci)
- Innovative control and monitoring techniques for wind turbines (F. Castellani)
- Shape and textural analysis of three-dimensional imaging data through machine learning for biomedical and industrial applications (F. Bianconi, M.L. Fravolini)
- Network function virtualization (NFV) through programmable networking techniques (G. Reali, M. Femminella)
- Molecular communications for interfacing and modeling living systems (G. Reali, M. Femminella)
- Modelling, simulation,and experimental characterization of magnetic materials and components in avionics and industrial applications. (E. Cardelli)
- Development of procedures for fatigue-based design and vibration qualification of mechanical components. (F. Cianetti)
- Advanced radiation sensors VLSI design in CMOS technology. (D. Passeri, P. Placidi)
- Compostable Electronics for Smart Systems CE4SS. (F. Alimenti, L. Roselli)
- Electronic Systems and Technologies for Precision Farming EST4PF. (L. Roselli, F. Alimenti)
- Reconfigurable Networks for MIMO and 5G RN4M&5G. (P. Mezzanotte, L. Roselli)
- Radio Frequency Systems for Wireless Power and Data Transfer RFS4WPDT (P. Mezzanotte,V. Palazzi)
- Development of innovative Gasoline Direct Injection systems for the reduction of polluting emissions and energy consumption by ICEs, and of methodologies for the analysis of their behavior and their manufacturing. (C. N. Grimaldi)
- Development of innovative combustion systems for the reduction of polluting emissions and energy consumption by ICEs, and of methodologies for the analysis of their behavior and their production. (C. N. Grimaldi)
- Development and implementation of CFD-3D methodologies for the analysis of innovative combustion systems for the reduction of polluting emissions and energy consumption by ICEs. (C. N. Grimaldi, M. Battistoni, F. Mariani)
- An EmbeddedSystem forβ Radiological-Guided Surgery. (A. Scorzoni, P. Placidi)
- Student list
- Composition of the teaching staff
- XXXIII CYCLE
- XXXII CYCLE
- XXXI CYCLE
- XXX CYCLE
- XXIX CYCLE