Venanzio Giannella | Curriculum

Dr. Eng. Venanzio Giannella, 1989.

In 2014, he received the Master’s Degree in Mechanical Engineering at University of Salerno with a thesis on computational fracture mechanics.

In 2014, he won a Ph.D. scholarship in Industrial Engineering at University of Salerno, to work on: fracture mechanics, material strength, fatigue, numerical simulation.

From 2015 to 2023, he was university tutor in “Machine Design” and “Machine Design Fundamentals” for Mechanical, Chemical and Management Engineering at University of Salerno.

From 2016 to 2017, he was guest at the “Max-Planck Institute for Plasma Physics - IPP”, Greifswald, Germany, to perform a low-cycle fatigue assessment of plasma facing components of the nuclear fusion project “Wendelstein 7-X”.

In 2018, he received the title of Ph.D. in Industrial Engineering, defending a thesis by title: “Enhanced FEM-DBEM approach for fatigue crack-growth simulation”.

From 2018 to 2020, he was assistant researcher in “Machine Design” at University of Salerno and worked in the field of computational vibroacoustics.

From 2019 to 2023, he was contract professor in “Machine Design” “Machine Design Fundamentals” for Mechanical, Chemical and Management Engineering at University of Salerno.

From 2021 to 2023, he was assistant researcher in “Machine Design” at University of Salerno and works in the characterization of the mechanical behaviour of welded joints.

In 2022 and 2023, he was among top-cited researchers according to ranking provided by Stanford University.

Since 2022, he is consultant for CREATE (EUROFusion consortium) to work on: structural assessments of components of the DEMO nuclear fusion power plant.

Since 2023, he is researcher (RTD-B) at the Department of Industrial Engineering, University of Salerno.

Editor and reviewer for several scientific journals, Dr. Eng. Venanzio Giannella is author of more than 60 scientific publications (more than 1000 citations) for national/international journals and conferences.

His current research activities are focused on the development of innovative materials, life prediction, probabilistic life assessment, uncertainty quantification, structural health monitoring, damage tolerance, additive manufacturing, welded joints, AI applications in engineering, numerical simulation.