CV
Basics
| Name | Antonio Alessandro Deleo |
| Label | Aerospace Structural Engineer |
| a.deleo@me.com | |
| Url | https://www.tonideleo.com |
| Summary | Structural Analysis Engineer specializing in computational fracture mechanics, composite materials modeling, and finite element analysis. Developer of the MARS finite element research code with expertise in discrete modeling approaches for composite structures. |
Work
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2023.08 - Present San Diego, California
Structural Analysis Engineer (SME)
Engineering and Software System Solutions, Inc. (ES3)
Subject Matter Expert in Composite Modeling, developing the MARS Finite Element Research Code
- Subject Matter Expert (SME) in Composite Modeling
- Developer of MARS Finite Element Research Code
- Supervisor: Dr. Daniele Pelessone, Chief Scientist
Education
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2016.09 - 2023.09 Seattle, Washington
Doctor of Philosophy (Ph.D.)
University of Washington
Aerospace Engineering
- Thesis: FastDM4C: A Fast and Efficient Discrete Model for Composites
- Supervisor: Prof. Marco Salviato
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2014.09 - 2016.06 Seattle, Washington
Bachelor of Science (B.S.)
University of Washington
Aerospace Engineering
- Aeronautical Capstone Project
- Technical Electives in Aerostructures and Modeling
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2012.09 - 2014.06 Bothell, Washington
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2005.10 - 2010.06 Pesaro, Italy
Bachelor and Master of Music (B.Mus., M.Mus.)
National Conservatory of Music "G. Rossini"
Flute Performance
Awards
- 2015.05.01
Robert Reynolds Scholarship
University of Washington
Scholarship awarded for academic excellence in Aerospace Engineering
- 2015.08.01
Valedictorian
GEA Aviation Program - ENAC - ISAE/Supaero
Finished first in class in the aviation summer program offered in Toulouse at ENAC and ISAE Supaero
- 2012.01.01
President Honors
Cascadia College
Awarded from 2012 to 2014. Students who have earned a quarterly college level GPA of 3.9 or higher
Certificates
| Google TensorFlow Developer Certificate | ||
| Google TensorFlow | 2024-01-28 |
| Natural Language Processing in TensorFlow | ||
| DeepLearning.AI | 2023-02-23 |
| Convolutional Neural Networks in TensorFlow | ||
| DeepLearning.AI | 2023-02-20 |
| Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning | ||
| DeepLearning.AI | 2023-02-17 |
| Fundamentals of Accelerated Computing with CUDA C/C++ | ||
| Nvidia | 2022-03-04 |
Skills
| Programming | |
| C++ | |
| CUDA | |
| Matlab | |
| Python | |
| \( \LaTeX\) | |
| Bash | |
| Fortran |
| Finite Element Analysis | |
| MARS Solver | |
| Abaqus | |
| Femap | |
| LS-Dyna | |
| Nasgro | |
| Afgrow | |
| Hyperworks | |
| Ansys |
| Composite Manufacturing | |
| Hand Layup | |
| Autoclave | |
| VARTM | |
| Molding | |
| Hot-press | |
| 3D Printing |
| Database Management | |
| SQLite | |
| MySQL | |
| PostgreSQL |
| Software Development & Management | |
| Git | |
| GitKraken | |
| Docker | |
| Singularity | |
| Apptainer |
| Design & Visualization | |
| Photoshop | |
| Illustrator | |
| Inkscape | |
| darktable | |
| Lightroom |
| Virtual Reality | |
| Unity | |
| Unreal Engine |
Languages
| Italian | |
| Native speaker |
| English | |
| Fluent |
| Romanian | |
| Conversational |
Interests
| Outdoor Activities | ||||||
| Climbing (Sport, Bouldering, Trad Multipitches) | ||||||
| Mountaineering | ||||||
| Hiking | ||||||
| Trekking | ||||||
| Skiing | ||||||
| Music Performance | |||||
| Flute and Piccolo Player | |||||
| UW Chamber Philharmonic Orchestra | |||||
| Bainbridge Island Symphonic Orchestra | |||||
| Puget Sound Symphonic Orchestra | |||||
| Culinary Arts | ||
| Italian Cuisine | ||
References
| Prof. Marco Salviato | |
| Professor in Aeronautics & Astronautics, University of Washington. Ph.D. Thesis Supervisor. |
| Dr. Daniele Pelessone | |
| Chief Scientist at ES3, Inc. Current supervisor and MARS code principal developer. |
Volunteer
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2016.09 - 2023.06 Seattle, Washington
Climbing Officer
University of Washington Climbing Club
Former Climbing Officer organizing activities and trips for the university climbing community
Publications
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2026 Advancing Additively Manufactured Composite Structural Joints Testing with Discrete Computational Modeling and Digital Twins
Springer Nature
Deleo A.A., Phenisee E.S., Derek S., Flores M., Pelessone D., Salviato M.
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2026 A Multiscale Framework for Simulating Structural Assemblies Using a Discrete Mesoscale Model for Composites (DM4C) Approach
ASC/Springer Nature
Flores M., Phenisee E.S., Deleo A.A., Pelessone D., Salviato M. (in print)
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2026 A Novel Discrete, Mesoscale Modeling Framework for the Simulation of the Damaging and Fracturing Behavior of Composites
Journal of the Mechanics and Physics of Solids
Deleo A.A.*, Phenisee E.S.*, Pelessone D., Flores M., Salviato M. (in preparation)
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2026 FastDM4C: A Fast and Efficient Discrete Model for Composites
Journal of the Mechanics and Physics of Solids
Deleo A.A., Pelessone D., Salviato M. (in preparation)
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2023 Analysis of Additive Manufactured Structural Joints Using Discrete Model for Composites (DM4C)
SAMPE Conference Proceedings
Deleo A.A., Phenisee S., Pelessone D., Furmanski J., Flores M., Salviato M.
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2023 Investigation of the Effect of In-Plane Waviness on the Mechanical Behavior of Additive Manufactured Composite Laminates
SAMPE Conference Proceedings
Phenisee S., Deleo A.A., Pelessone D., Huff S., Shelley D., Flores M., Salviato M.
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2023 Discrete, Meso-Scale Modeling of Fiber-Reinforced Composites (DM4C): Application to the Additive Manufacturing of Continuous Fibers
IMECE Conference Proceedings
Salviato M., Phenisee E.S.*, Deleo A.A.*, Pelessone D., Flores M.
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2023 FastDM4C: A Fast and Efficient Discrete Model for Composites
ASC Conference Proceedings
Deleo A.A., Phenisee E.S., Pelessone D., Flores M., Salviato M.
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2023 To the Mesoscale and Beyond! Capturing Complex Damage Mechanisms in Composites via Simple, Physics-Based, Discrete Mathematical Models of Fibers and Matrix
ASC Conference Proceedings
Salviato M., Phenisee E.S.*, Deleo A.A.*, Pelessone D., Flores M.
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2022 Discrete, Meso-Scale Modeling of Fiber-Reinforced Composites (DM4C): Application to Additive Manufacturing of Continuous Fiber Composites
ASC Conference Proceedings
Phenisee S., Deleo A.A., Pelessone D., Flores M., Salviato M.
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2022 Discrete Modeling and Machine Learning Assisted Calibration of 3D Printed Carbon Fiber Reinforced Plastics (CFRP) Structural Joints
ASC Conference Proceedings
Deleo A.A., Phenisee S., Pelessone D., Furmanski J., Flores M., Salviato M.
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2022 A Novel Discrete, Mesoscale Modeling Framework for the Simulation of the Damaging and Fracturing Behavior of Composites
IMECE Conference Proceedings
Salviato M., Phenisee S.*, Deleo A.A.*, Pelessone D., Flores M.
-
2020 Aerogami: Composite Origami Structures as Active Aerodynamic Control
Composites Part B
Cozmei M., Hasseler T., Kinyon E., Wallace R., Deleo A.A., Salviato M.
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2020 Origami-Based Deployable Structures Made of Carbon Fiber Reinforced Polymer Composites
Composites Science and Technology
Deleo A.A., O'Neil J., Yasuda H., Salviato M., Yang J.
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2019 Active Aerodynamic Control Surfaces Based on Origami Composites
AIAA Region VI Student Conference
Cozmei M., Hasseler T., Kinion E., Wallace R., Deleo A.A., Salviato M.
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2019 A Study on the Multi-Axial Fatigue Failure Behavior of Notched Composite Laminates
Composites Part A
Qiao Y., Deleo A.A., Salviato M.
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2018 Composite Origami: Foldable Structures Based on Tachi-Miura-Polyhedron (TMP) Origami Architecture
SAMPE Conference Proceedings
Deleo A.A., O'Neil J., Yasuda H., Salviato M., Yang J.
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2018 Multi-Axial Fatigue Failure Behavior of Notched GFRP Laminates
SAMPE Conference Proceedings
Qiao Y., Deleo A.A., Liao K., Salviato M.
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2018 Cohesive Modeling of Fracture in Composites: Numerical Investigation of the Effects of the Cohesive Law on Size Effect
ASC Conference Proceedings
Das A., Deleo A.A., Salviato M.
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2018 Deployable Structures Constructed from Composite Origami
ASC Conference Proceedings
O'Neil J., Deleo A.A., Yasuda H., Salviato M., Yang J.
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2018 Computational Study for Size Effect in Composites and Nanocomposites
ASC Conference Proceedings
Deleo A.A., Salviato M.
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2018 Multi-Axial Fatigue Behavior of Notched Composite Structures
ASC Conference Proceedings
Qiao Y., Deleo A.A., Liao K., Salviato M.
Projects
- 2023.08 - Present
MARS Finite Element Solver
Development and maintenance of a modern C++ finite element framework for computational mechanics research and university teaching
- Modern C++23 architecture
- Physics-informed machine learning integration
- Cross-platform support (Linux, Windows, macOS)
- 2019.01 - 2023.09
FastDM4C - Discrete Model for Composites
Fast and efficient discrete modeling framework for simulating damage and fracture in composite materials
- Mesoscale modeling of fiber-matrix interactions
- High-performance computing optimization
- Application to additive manufacturing