Phd Students |
Background and Research Project |
Curriculum Vitae |

Francesco Campanella
|
My name is Francesco Campanella, a 24-year-old PhD student in "Mechanical, Manufacturing, Management, and Aerospace Innovation" at the University of Palermo, where I also completed my MSc in Mechanical Engineering, graduating with highest honors.
My master’s thesis focused on developing and testing an innovative measurement system utilizing LVDT transducers for gauging wire produced through Continuous Friction Stir Extrusion (CFSE), a novel technique for recycling aluminum chips.
In my current doctoral research, carried out in collaboration with Tecnimpinti S.p.A., I am developing advanced measurement systems to monitor wear and tear on manufactured components. By equipping these components with sensors, I aim to correlate measurement data with sensor signals to enable predictive maintenance strategies. This project has the potential to significantly enhance maintenance efficiency.
|
 |

Alessandro Genovese
|
My name is Alessandro Genovese, and I am a Ph.D. student in "Mechanical, Manufacturing, Management and Aerospace Innovation" at the University of Palermo. I graduated with the highest honors (110/110 cum laude) in Management Engineering from the University of Palermo, earning a special mention for my academic career.
My doctoral research focuses on paradoxical tensions in Corporate Venture Capital (CVC) investments, analyzed through the lens of Open Innovation. Despite representing 25% of global venture capital investments in 2022, CVC activities face tensions between exploration and exploitation, corporate integration and community alignment, and their dual role as risk or opportunity for startups.
By combining literature review, game theory modeling, and empirical validation using secondary data, my research aims to develop a theoretical framework that addresses these tensions. The results will provide insights for managing CVC investments, with implications for corporate strategists, venture capitalists, and policymakers. This project aligns with my passion for bridging academic research and practical applications to foster innovation in technology and business.
|
 |

Maedeh Gourakani
|
My name is Maedeh Gourakani, and I am a PhD student in 'Mechanical, Manufacturing, Management, and Aerospace Innovation' at the University of Palermo. I earned my master’s degree in mechanical engineering from Amirkabir University. For my master’s thesis, I developed a machine learning-based system for detecting incomplete objects in Fused Deposition Modeling (FDM) printers. This project provided me with hands-on experience in additive manufacturing (AM). By continuing my research in this field, I am building on my previous work and exploring new applications of artificial intelligence in manufacturing processes. My doctoral research focuses on enhancing Wire and Arc Additive Manufacturing (WAAM) systems through advanced monitoring and control techniques, with the aim of improving efficiency, quality, and process consistency in WAAM. I am passionate about advancing manufacturing through AI-driven technologies and am excited to contribute to this transformation.
|
 |

Giuseppe Ingrassia
|
My name is Giuseppe Ingrassiaand I graduated in Mechanical Engineering (LM-33) cum laude, from the University of Palermo. I am currently a PhD student in Mechanical, Manufacturing, Management and Aerospace Innovation at the same University. My research activity is focused on internal combustion engines, with a particular interest in the issues of environmental sustainability and the use of hydrogen as an alternative energy source, considered crucial for the future of sustainable mobility.
My experimental thesis, supported by an internship at the engine bench and the use of a CFR (Cooperative Fuel Research) engine, aimed to study the effects of water injections in internal combustion engines. Through some technical modifications, I examined how water injection can help reduce detonative phenomena and NOx emissions, paving the way for new possibilities for the integration of hydrogen into combustion engines. Prior to my research career, I gained valuable experience as a shop technician in the automotive industry, a field that I was passionate about from the beginning and that allowed me to develop practical skills and a hands-on approach to engine technologies. Today, I am driven by a desire to actively contribute to the future of the automotive industry, striving to integrate innovation and sustainability to create increasingly environmentally friendly solutions.
|
 |

Elena Inzerillo
|
My name is Elena Inzerillo, and I am a Ph.D. student in “Mechanical, Manufacturing, Management, and Aerospace Innovation” at the University of Palermo. I obtained my M. Sc. Biomedical Engineering, Biomaterials for Regenerative Medicine curriculum, at the University of Palermo. During my academic career, I carried out an internship at the Department of Biological, Chemical, and Pharmaceutical Sciences and Technologies (STEBICEF). This experience allowed me to develop practical skills in cell manipulation in a sterile environment, getting manual ability in working under a biological hood and interacting with scaffolds for tissue engineering applications. My master's thesis, conducted at the Bio and Tissue Engineering Laboratory of the University of Palermo, focused on the "Preparation and Characterization of Poly-L-lactic Acid (PLLA) and Rosmarinic Acid Scaffolds for Biomedical Applications".
My Ph.D. project aims to develop an implantable, engineered 3D construct to promote endometrial tissue regeneration. The primary objective is to create a biocompatible and biodegradable device able of mimicking the native extracellular matrix, facilitating cellular adhesion, proliferation and tissue regeneration and providing, at the same time, structural support. This approach aims to address challenges associated with endometrial damage, offering potential advancements for future therapeutic applications in reproductive medicine. |
 |

Matteo Messina
|
My name is Matteo Messina and I am a 23-year-old PhD student in “Mechanical, Manufacturing, Management and Aerospace Innovation” at the University of Palermo. I obtained a master’s degree in Mechanical Engineering cum laude from the University of Palermo. My master’s thesis concerns the “Development of an application in an Augmented Reality environment for innovation in education”.
The objective of my PhD project is to develop Augmented Reality (AR) and Virtual Reality (VR) systems, valid in terms of ergonomics and usability, aimed at procedural improvement of industrial maintenance, assembly, disposal and recovery operations, training and creation of manuals. The main expected outcome will consist in the definition, development and optimisation of supports and procedures, based on the innovative technologies, in order to improve operational efficiency and renew the methodology in these areas.
|
 |

Alessandro Muratore
|
My name is Alessandro Muratore. In March 2016, I graduated summa cum laude with a degree in Economic and Financial Sciences (LM-56) from the University of Palermo. Currently, I am pursuing a PhD in “Development of advanced business analytics models for the management of physical supply chains” at the University of Palermo. My research focuses on the use of mathematical, probabilistic and physical models, mainly focused on the use of machine learning and artificial intelligence, to analyze and interpret behaviors within the world of large-scale retail, a sector for which I have a growing passion. I also work as a Financial Controller at Rocchetta S.r.l., where I apply my advanced analytical skills. I possess excellent skills in using the Office package and a particular flair for programming languages such as VBA, R, SQL, HTML and LaTeX, which effectively complement my professional and research skills.
|
 |
Salvatore Russo
|
My name is Salvatore Russoand I am a PhD student in Mechanical, Manufacturing, Management and Aerospace Innovation at the University of Palermo.
I obtained my Master's degree in Mechanical Engineering from the University of Palermo in July 2024. During my Master's degree, I did an internship at the university laboratory, where I dedicated myself to the development of numerical models for the prediction of fracture phenomena in components with lattice structures made of titanium through Additive Manufacturing techniques.
My master's thesis concerned the development of a numerical model for the Solid State Additive Friction Surfacing process, a new deposition technology that has many advantages, but also some limitations to be addressed.
My PhD project aims to develop numerical models for different solid state deposition techniques. This objective will be pursued through the use of the most appropriate numerical simulation tools (such as FEM, CFD, SPH and, where appropriate, Machine Learning models).
The aim will be to raise the technology readiness level of the processes, enabling their use on a large scale.
|
 |

Alessio Sclafani
|
I’m Alessio Sclafani. I graduated in Management Engineering, and I am currently a PhD student in the XL cycle of the M3AI program at the University of Palermo. My research focuses on integrating dynamic-stochastic optimization methods with machine learning to address complex decision-making problems in uncertain environments. In particular, I develop predictive models and optimization algorithms for operations management and supply chain applications, aiming to enhance the efficiency of data-driven decision-making strategies. |
 |

Dario Tarantino
|
My name is Dario Tarantino, and I am a Ph.D. student in "Mechanical, Manufacturing, Management and Aerospace Innovation" at the University of Palermo. I earned a master’s degree with the highest honours (110/110 cum laude) in Biomedical Engineering curriculum biomechanical and medical devices, from University of Palermo, earning a special mention for my academic career.
During my master’s thesis, realised within the double degree programme between UniPA and École des Mines de Saint-Étienne, I analysed the correlation between the geometric parameters of cerebral aneurysms and the outcomes of coiling procedures by developing a fully automated workflow using a large database of advanced finite element (FE) simulations.
My doctoral research aims to develop an advanced predictive model to assess the rupture risk of ascending thoracic aortic aneurysms (ATAA) by combining computational tools, biomechanical models, and machine learning. Current risk assessment methods are mainly based on the diameter of the aneurysm, which is often inadequate as it does not take into account the complex pathophysiological mechanisms of the aortic wall. The innovation of this project lies in the integration of bioengineering, advanced simulations, and artificial intelligence to achieve a more precise risk stratification, with potential benefits for clinical practice and personalized patient treatment.
|
 |

Mattia Tornabene
|
This doctoral project concerns the use of infrared thermography techniques for the structural evaluation of innovative materials, with a particular focus on their fatigue behavior. Regarding the techniques, temperature signal processing algorithms will be developed to analyze the thermographic signal in the frequency domain. This will allow the measurement of the thermoelastic signal and derive metrics capable of evaluating the thermomechanical behavior of the material in the presence of fatigue loads. As for the materials, the project aims to analyze the following two types: 1) metal materials made with additive manufacturing techniques; 2) composite materials in carbon fiber and thermoplastic matrix, with and without parts joined by ultrasound welding techniques. In both cases, the ability of thermographic techniques to characterize fatigue behavior will be evaluated, with the relative monitoring of the development and propagation of defects.
|
 |

Maria Gloria Trapani
|
My name is Maria Gloria Trapani, I’m 23 years old and I'm a Ph.D. student in "Mechanical, Manufacturing, Management and Aerospace Innovation" at the University of Palermo. I earned my Master's degree in Management Engineering at the University of Palermo, following the Sustainability & Social impact track. I've decided to further embark on the sustainability journey for my research project, which is focused on the development of Decision Support Tools (DSTs) for the sustainable selection of Additive over Conventional Manufacturing. This is a crucial topic as, although several comparative analyses have been presented in literature, there is a lack of a clear vision and DSTs to be implemented for the environmentally-friendly manufacturing approaches selection.
Using LCA and LCC techniques I intend to build DSTs, with a comprehensive and holistic perspective, enabling to map and cluster processes' performances.
These tools will support and guide the selection of the best manufacturing route both for the environmental and economical impact minimization.
|
 |