Stanford University
Showing 4,421-4,430 of 6,014 Results
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Maria Sakovsky
Assistant Professor of Aeronautics and Astronautics
BioMaria Sakovsky's work focuses on the use of shape adaptation to realize space structures with reconfigurable geometry, stiffness, and even non-mechanical performance (e.g., electromagnetic, optical). Particular focus is placed on the mechanics of thin fiber reinforced composite structures, the interplay between composite material properties and structural geometry, as well as embedded functionality and actuation of lightweight structures. The work has led to applications in deployable space structures, reconfigurable antennas, and soft robotics.
Maria Sakovsky received her BSc in Aerospace Engineering from the University of Toronto. Following this, she completed her MSc and PhD in Space Engineering at Caltech, where she developed a deployable satellite antenna based on origami concepts utilizing elastomer composites. She concurrently worked with NASA’s Jet Propulsion Laboratory on developing cryogenically rated thin-ply composite antennas for deep space missions. She was awarded the ETH Zurich Postdoctoral Fellowship in 2018 as well as the DARPA Young Faculty Award in 2024. -
Aadesh Salecha
Masters Student in Computer Science, admitted Autumn 2024
BioAadesh Salecha is a Founding Engineer at Hyfin (hyfin.capital), where he is building GAIA, a platform that synthesizes asset performance and market data to power clean energy loan origination. He designs agentic data pipelines that combine LLMs and web scraping to create data for a new asset class with no track record, and risk intelligence tools aimed at closing the $4T+ clean energy financing gap across South Asia and Africa.
Aadesh completed his MS in Computer Science at Stanford in 2026. At Stanford, he worked as an AI/ML researcher with Prof. David Lobell and the Center on Food Security and the Environment at the Stanford Doerr School of Sustainability, building geospatial machine learning pipelines on Google Earth Engine, Landsat, and Sentinel-2 imagery to detect tree species across cropland in the Global South. This work supports verification of the 5+ Gt CO2/year sequestration potential of integrating trees into global cropland. He also won Stanford's first Green AI Hackathon with a geothermal site prediction system built on AlphaEarth satellite embeddings (findgeothermal.com).
Earlier at Stanford, he worked with Prof. Johannes Eichstaedt on applying cognitive science and psychometrics to evaluate large language models. Their paper showing that LLMs exhibit human-like social desirability biases was published in PNAS Nexus and covered by WIRED.
Previously, Aadesh was an AI/ML Engineer at Amazon (AWS SageMaker HyperPod), where he built an agentic AI system to auto-resolve ML infrastructure failures and reduced GPU energy waste by about 200 kg CO2e per day. Before Stanford, he was a Senior Software Engineer on the Financial Platform team at DraftKings. He received his BS in Computer Science, summa cum laude, from the University of Minnesota, where he researched misinformation spread with Prof. Jaideep Srivastava.
Website: https://aadeshsalecha.github.io
LinkedIn: https://www.linkedin.com/in/aadesh-salecha
Google Scholar: https://scholar.google.com/citations?user=Cnwzl3oAAAAJ -
J Kenneth Salisbury, Jr.
Professor (Research) of Computer Science and of Surgery (Anatomy), Emeritus
BioSalisbury worked on the development of the Stanford-JPL Robot Hand, the JPL Force Reflecting Hand Controller, the MIT-WAM arm, the PR-2 personal robot and the da Vinci Surgical Robot. His work with haptic interface technology led to the founding of SensAble Technology, producers of the PHANToM haptic interface and software. He also worked on developing telerobotic systems for dexterity enhancement in the operating room. His current research focuses on minimalist force controllable robots, human-machine interaction, cooperative haptics, medical robotics, and surgical simulation.
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Alberto Salleo
Hong Seh and Vivian W. M. Lim Professor, Professor of Photon Science, and Senior Fellow at the Precourt Institute for Energy
Current Research and Scholarly InterestsNovel materials and processing techniques for large-area and flexible electronic/photonic devices. Polymeric materials for electronics, bioelectronics, and biosensors. Electrochemical devices for neuromorphic computing. Defects and structure/property studies of polymeric semiconductors, nano-structured and amorphous materials in thin films. Advanced characterization techniques for soft matter.
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Teresa Salomone
Postdoctoral Scholar, Mechanical Engineering
BioTeresa Salomone is a postdoctoral researcher in the Mechanical Engineering Department at Stanford. She earned her PhD through a joint collaboration between Queen’s University in Canada and the University of Campania in Italy. Her research focuses on computational studies of turbulent flows using large eddy simulation and wall modeled large eddy simulation with high performance computing, with an emphasis on roughness, separated flows, and complex external aerodynamics.
More recently, her work has expanded to include simulations of marine species in collaboration with Hopkins Marine Station, where she studies the hydrodynamics of cetaceans to estimate drag, gliding energetics, and cost of locomotion across different species and swimming conditions. She is also exploring how computational fluid dynamics can be applied to questions in human physiology, particularly in modeling cerebrospinal fluid dynamics.
She is also involved in facilitating workshops on breathwork, reflecting a broader interest in the role of respiration and its interaction with physiological systems.
