School of Engineering
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Simone D'Amico
Associate Professor of Aeronautics and Astronautics
BioSimone D’Amico is Associate Professor of Aeronautics and Astronautics (AA), W.M. Keck Faculty Scholar in the School of Engineering, Associate Professor of Geophysics (by Courtesy), Science Fellow at the Hoover Institution and Chief Science Officer at EraDrive Inc. He is the Founding Director of the Stanford Space Rendezvous Laboratory, Founding Co-Director of the Center for AEroSpace Autonomy Research (CAESAR), and Director of the Undergraduate Program in Aerospace Engineering at Stanford. He has 23+ years of experience in research and development of autonomous spacecraft and distributed space systems. He developed and deployed the distributed Guidance, Navigation, and Control (GNC) system of several formation-flying, rendezvous and proximity operations missions such as GRACE (NASA/DLR), PRISMA (OHB/DLR/CNES/DTU), TanDEM-X (DLR), BIROS (DLR) and PROBA-3 (ESA). Currently, he is the institutional PI of four autonomous satellite swarms funded by NASA (STARLING, STARI) and by NSF (VISORS, SWARM-EX). Dr. D'Amico is Fellow of AAS, Associate Fellow of AIAA, Associate Editor of the AIAA's JGCD and he is in the Advisory Board of four space start-ups focusing on distributed space systems for future applications in SAR remote sensing, orbital lifetime prolongation, and space-based solar power. He was the recipient of several awards, most recently the 2024 NASA Ames Honor Award for the Starling mission, Best Paper Awards at IAF (2022), IEEE (2021), AIAA (2021), AAS (2019) conferences, the M. Barry Carlton Award by IEEE (2020), the Leonardo 500 Award by the Leonardo da Vinci Society/ISSNAF (2019), FAI/NAA’s Group Diploma of Honor (2018), DLR’s Sabbatical/Forschungssemester (2012) and Wissenschaft Preis (2006), and NASA’s Group Achievement Award for the GRACE mission (2004). He received the B.S. and M.S. degrees from Politecnico di Milano (2003) and the Ph.D. degree from Delft University of Technology (2010).
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Marta D'Elia
Adjunct Professor, Institute for Computational and Mathematical Engineering (ICME)
BioI’m a research/computational scientist working on the design and analysis of models and data-driven algorithms for the simulation of complex, multiscale and multiphysics problems. My background and training have foundations in Numerical Analysis, Scientific Computing, Inverse Problems, Control and Optimization, and Uncertainty Quantification. In the past five years I have focused on Scientific Machine Learning (SciML) and Deep Learning. I am an expert in Nonlocal/Fractional Modeling and Simulation (10 years) with application to Continuum Mechanics, Subsurface Transport, Image Processing, and Turbulence. I have a master's degree in Mathematical Engineering from Politecnico di Milano (2007) and a PhD in Applied Mathematics from Emory University (2011).
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Rafaela Da Silva Presa
Graduate, Mechanical Engineering
BioRafaela is a master in Bioengineering (Molecular Biotechnology branch) since 2019 by Faculty of Engineering of University of Porto, Portugal (FEUP)/ School of Medicine and Biomedical Sciences of University of Porto (ICBAS) with her MSc thesis done in the field of biomaterials for bone cancer treatment and regeneration simultaneously.
Rafaela is performing her PhD project in Biofabrication Group in the Institute for Innovation and Research in Health from University of Porto (i3s). The project is focused on the development of mechano-modulatory 3D in vitro model of human skin fibrosis. Currently, Rafaela is doing a period abroad at Chaudhuri Lab, Mechanical Engineering department at Stanford University, to study the impact of viscoelasticity in fibroblast fate and activation.
Moreover, she is enrolled in the International Doctoral Program in Cellular and Molecular Biotechnology Applied to Health Sciences (BiotechHealth) in ICBAS from University of Porto.
Her multidisciplinary background in bioengineering and biomaterials allowed her to develop strong skills in complementary research areas ranging from materials synthesis and biofabrication to cellular biology.
Rafaela has excellent communication skills and experience in presenting scientific data in national and international meetings.