Emiliano Iuliano
Drone Aerodynamics Design Engineer @Newton Dynamics
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WORK HISTORY
Drone Aerodynamics Design Engineer @Newton Dynamics
Augsburg, DE
Led aerodynamic configuration development for advanced UAV platforms from concept definition to flight validation, acting as technical lead for simulation-driven design and system-level trade-offs. Coordinated multidisciplinary activities across aerodynamics, propulsion, mechanical design, manufacturing, battery management and performance, supporting regulatory and flight test requirements. Introduced scalable CFD and HPC-based workflows in an engineering environment with limited prior maturity in high-fidelity simulation methodologies, establishing structured processes for advanced aerodynamic analysis, design iteration and data-driven engineering decisionKey achievements include significantly improving aerodynamic performance of a cargo drone through integrated configuration design, defining and successfully supporting flight test campaigns for hover and transition to forward flight, and strengthening the organization’s engineering maturity by introducing structured aircraft requirements and verification/validation practices aligned with aerospace development standards.
EDUCATION
Università degli Studi di Napoli Federico II
Doctor of Philosophy - PhD, Industrial Engineering
Università degli Studi di Napoli Federico II
Master's degree, Aerospace, Aeronautical and Astronautical Engineering
SKILLS
ABOUT EMILIANO IULIANO
Experienced aerospace engineering specialist with 20+ years of expertise in aircraft icing, aerodynamics, CFD simulation, and AI-driven design optimization.In the field of aircraft icing, I have worked extensively on CFD-based ice accretion modeling, wind tunnel testing, system development, and certification. My experience includes enhancing ice protection systems through advanced simulation techniques and experimental validation, ensuring compliance with safety and performance standards.In aerodynamic design and optimization, I leverage CFD, machine learning, and reduced-order modeling to improve aircraft performance, accelerate multidisciplinary design processes, and enable rapid iteration. My technical versatility spans shape optimization, aerodynamic analysis, and AI-driven predictive modeling, integrating cutting-edge computational techniques to enhance efficiency and manufacturability.Passionate about innovation, problem-solving, and cross-discipline collaboration, I thrive in dynamic environments—mentoring teams, applying critical thinking, and delivering high-impact solutions to complex aerospace challenges.Outside of work, I enjoy playing sports, basketball, cooking, traveling, and hiking.
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