School of Engineering
Showing 1-10 of 37 Results
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Alam Mahmud
Postdoctoral Scholar, Chemical Engineering
BioA curious individual, seeking truth and exploring wonders, as ever
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Jennifer Maier
Postdoctoral Scholar, Mechanical Engineering
BioMy research interests include a broad variety of topics, ranging from medical image analysis and signal processing, machine learning and artificial intelligence, which I mainly focused on during my Ph.D. research. As a member of the Digital Athlete project of the Wu Tsai Performance Allience, I am now pursuing research to investigate how we can use wearable sensors, machine learning and biomechanical simulations to improve athlete performance, prevent injuries and support rehabilitation after injury.
I completed my Bachelor of Science and Master of Science degrees in medical engineering from Friedrich-Alexander-University Erlangen-Nuernberg (FAU). In 2015, I worked on my master’s thesis under the supervision of Prof. Kamiar Aminian during a research stay in the Laboratory of Movement Analysis and Measurement (LMAM), École Polytechnique Fédérale de Lausanne (EPFL), supported by a DAAD Scholarship. Afterwards, I pursued my Ph.D. at FAU in the Pattern Recognition Laboratory under the supervision of Prof. Andreas Maier and in the Machine Learning and Data Analytics Lab under the supervision of Prof. Bjoern Eskofier. I worked on projects in collaboration with Stanford University and the Universidade do Vale do Rio dos Sinos (UNISINOS) and conducted several short-term research stays at the partner universities. After finishing my Ph.D. in 2021, I joined Stanford University as a postdoctoral scholar advised by Prof. Ellen Kuhl. -
Mohamadali Malakoutian
Postdoctoral Scholar, Electrical Engineering
BioMohamadali is an experienced Postdoctoral researcher at Stanford University with a demonstrated history of working in high-power high-frequency transistors, all-diamond diodes, and diamond integration for thermal management, III-V wide bandgap semiconductors, integrated microsystems including MEMS/NEMS devices, and microfluidic channels. He is an expert in fab process design-integration, process and device modeling (Athena, Atlas), thin-film deposition techniques (Evaporation, Sputtering, PVD, ALD, and PECVD), dry etching (ICP/RIE etching of Diamond, AlN, SiN, Al2O3, SiO2), wet etching (bulk Si micromachining), and single-crystalline/polycrystalline diamond growth. He is currently working on the growth, fabrication, and characteristics of GaN HEMTs with diamond integrated for thermal management to solve the self-heating problem of mm-wave devices.
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Mariya Mardamshina
Postdoctoral Scholar, Bioengineering
BioMariya Mardamshina, MD, PhD, is a postdoctoral fellow in the Department of Bioengineering, working in Prof. Emma Lundberg's lab. She earned her medical degree from Semey State Medical University and completed her PhD at Tel Aviv University, where her research focused on spatial inter- and intratumoral heterogeneity in breast cancer using mass spectrometry-based proteomics. Currently, her work in the Lundberg lab centers on deciphering cell-to-cell proteomic variability within a spatial framework. Her research involves developing integrated pipelines that combine automated multiplexed staining, high-resolution microscopy, artificial intelligence, and ultra-high sensitivity mass spectrometry to achieve comprehensive proteomic analyses.
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Jonathan Massey
Postdoctoral Scholar, Mechanical Engineering
BioRecently, I completed my PhD at the University of Southampton, where my research focused on the role of surface texture in the hydrodynamics of aquatic locomotion. This project advanced our understanding of the multiscale interactions involved, addressing whether fish scales might actually enhance swimming efficiency.
I have joined Prof. McKeon's group as part of the SAPPHiRe project (Shear stress And Propagating Pressure at High Reynolds). This multi-facility (Stanford, Princeton, and Melbourne) experimental campaign focuses on measurements of wall-pressure and shear-stress fluctuations in high Reynolds number (Re) boundary layers, advancing our understanding of noise and drag in high-Re settings. My role in the project involves modelling these wall quantities using resolvent analysis. Previous models are based on extrapolations from low-Re physics, so I will incorporate new techniques to improve upon these in parallel with the experimental campaign.
