Stefano Cassola

Research Engineer

Hettenleidelheim, Germany stefano.cassola@web.de LinkedIn

About

Research Engineer with expertise in process simulation and machine learning applications for polymer composites. Currently pursuing PhD in Mechanical Engineering with focus on flow field prediction in fibrous microstructures using CNN and FNO-based machine learning pipelines.

Experience

Research assistant in the field of Process Simulation

Leibniz Institut für Verbundwerkstoffe GmbH

Apr 2020 — Present

PhD research focusing on flow field prediction in fibrous microstructures using machine learning, coupled thermo-mechanical simulations, and interdisciplinary research projects.

Implemented CNN- and FNO-based machine learning pipelines for predicting 3D flow velocity fields in fibrous microstructures at multiple resolutions
Integrated trained models with OpenFOAM to generate initial conditions and accelerate convergence in simulations
Performed thermoforming simulations of CF-PEEK tape preforms including preform shape optimization and spring-back analyses
Conducted simulation of hot press processing of structural thermoplastic foams

LS-DYNALS-OPTPythonTensorFlowOpenFOAMMachine LearningCNNFNO

Development Engineer – Motorsport Tires

Goodyear-Dunlop Tires Germany GmbH

Jul 2016 — Mar 2020

Applied data analysis techniques for tire and vehicle performance evaluation, collaborated with international customers, and provided technical advisory services at racing events.

Applied data analysis techniques to evaluate tire and vehicle performance
Collaborated with international customers to tailor product design to specific performance requirements
Served as technical advisor on-site at international racing events delivering real-time performance insights
Planned, coordinated, and monitored development and validation tests

Data AnalysisProduct DevelopmentPerformance Testing

Visiting Researcher

Center for Composite Materials (CCM), University of Delaware

Dec 2023 — Jan 2024

Engaged in international networking activities and gained hands-on experience with proprietary simulation software.

Gained hands-on experience with CCM's proprietary Liquid Composite Molding Simulation Software (LIMS)
Engaged in international networking activities as a visiting researcher

LIMSComposite MaterialsInternational Research

Skills

Beginner (0–49%)

Intermediate (50–79%)

Advanced (80–100%)

Simulation Software

LS-Dyna90%

LS-PrePost85%

LS-OPT85%

OpenFOAM80%

ParaView75%

Programming & Machine Learning

Python85%

TensorFlow80%

C++70%

System Administration

Linux75%

Bash70%

Slurm65%

Git70%

Publications

Microscale domain permeability prediction of fiber reinforcement structures based on the lattice boltzmann method and machine learning

Journal of Porous Media · 2024

M. Novitska, S. Cassola, T. Schmidt, M. Duhovic, B. I. Basok, D. May

journal

Physics informed neural networks for permeability predictions of fibrous microstructures

Artificial Intelligence in Material Science and Engineering · 2023

D. Korolev, S. Cassola (Speaker), M. Hintermülller, T. Schmidt, M. Duhovic, D. May

conference

Machine Learning for Polymer Composites Process Simulation– a Review

Composites Part B · 2022

S. Cassola, T. Schmidt, M. Duhovic, D. May

journal

Education

PhD in Mechanical Engineering

University of Kaiserslautern-Landau (RPTU)

2020 — 2026

Expected completion: 09/2026

Diploma in Mechanical and Process Engineering (specialization in vehicle and energy technology)

University of Kaiserslautern-Landau (RPTU)

2008 — 2015

Grade 1.6

Certificates

DeepLearning.AI TensorFlow Developer

Coursera · 2021

Specialization Deep Learning

Coursera · 2021

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Contact

stefano.cassola@web.de

Hettenleidelheim, Germany