With the widespread use of satellite imaging, a wealth of information is available to help in the understanding and modeling of earth system processes. In particular, these data play a key role in the analysis of climate variability. However, satellitebased retrievals present spatial discontinuities due to incomplete coverage of the domain resulting from satellite orbital characteristics, or through occlusion by cloud cover and other atmospheric effects. The straightforward use of Geostatistical prediction methods is made impossible by the wealth of the datasets at stake.
Statistical Geometric Model of Organ's Shapes for Computational Medicine
How can we use computational tools to help clinicians in their daily practice? To develop the personalization of therapies, to aid the diagnosis? Are we sure that we can…
Cold Plasmas in the Fight Against Global Warming
Successful fight against global warming cannot be achieved without the massive development of alternative carbon-free energies. Clean electricity can already be produced…
Effect of Hydrothermal Alteration on Divalent Cation Release during Basalt-CO2 Interaction: Inferences from Batch Experiments
Geoscientists and engineers use mineral and glass dissolution rates to quantify waterrock interactions and make predictions about groundwater chemistry, energy systems and…
A Study of Plasma for Environmental Applications Using Thomson Scattering diagnostic
During the past decades, our environment has been critically polluted owing to the widening of the industrial processes and human actions. The result is the vast presence of…
Circadian Rhythms and the Impact of Color
Your circadian rhythm is a “body clock” that controls 24-hour cycles and is crucial to obtaining regular and restful sleep. Over the course of evolution, input to this…
Undergraduate Internship in Microbial Growth Data Analysis
For my FSCIS fellowship, I worked at EcoleCentrale's Life Sciences Laboratory. Over the course of my six-week internship, I coded a program (written in C++ and…
The sensing, monitoring and control of environmental parameters are critical to sustainable development and managing our increasingly interconnected daily lives. Our project unites complementary competencies and laboratories in engineering and materials chemistry. Prof. Beth PRUITT’s Stanford Microsystems Laboratory specializes in design, microfabrication and characterization of microscalesensors, e.g., multiple sensing functions on single devices with small footprint, low power, low crosstalk and high signal integration in a simple process.
Despite the well-proven benefits of proton therapy for tumor treatment there are less than 50 particle therapy facilities in the world. They provide energetic proton beams of 70-250 MeV for treatment of 100-200 patients on a regular basis. These small numbers make it paramount to overcome the greatest obstacle to the universal use of protons in cancer treatment, i.e. the size and cost of the accelerator. The project will bring together Prof. Fuchs, Dr.
Over the past decade there has been a rapid growth in the use of X-ray imaging techniques to study cultural heritage and related fields including art, archaeology and paleontology. Yet with the field still in its infancy there is a lack of communication and multidisciplinary in-depth interaction of the X-ray science and cultural heritage communities. With literally tens of thousands of heritage artefacts yet to be identified and studied the potential for the use of nondestructive X-ray imaging techniques, coupled to adapted data processing approaches, is tremendous.
This project, which is a collaboration between groups at Stanford and at CNRS (France) investigates the use of one-dimensional plasma photonic crystals (which are periodic arrays of ionized gases that have a tunable refractive index in the microwave range of the electromagnetic spectrum) for the measurement of the electron density – the principal constituent of the ionized gas that affects the refractive index. The incident EM waves scatters off of the periodic structure much like x-rays scatter off of crystals.
How can we use computational tools to help clinicians in their daily practice? To develop the personalization of therapies, to aid the diagnosis? Are we sure that we can trust the results of the algorithms? These are core questions in personalized computational medicine. In this context, the goal of my research at Stanford is to create a generative statistical model of a given organ's shape for personalized computational medicine. Keeping in mind the potential clinical applications, special care will be given to the rigorous mathematical definition of its utilization's limits.
Successful fight against global warming cannot be achieved without the massive development of alternative carbon-free energies. Clean electricity can already be produced from fuel cells or wind energy, but in the transport industry liquid fuels have no real substitute yet. Our project is to address this issue by producing liquid fuels with cold plasmas. Plasmas are highly reactive media than can dissociate or create new species. We use them to dissociate CO2, the byproduct of liquid fuel combustion, instead of rejecting it into the environment.
Geoscientists and engineers use mineral and glass dissolution rates to quantify waterrock interactions and make predictions about groundwater chemistry, energy systems and environmentally contaminated sites. However, such rates are typically laboratory-derived and differ dramatically from observed rates in natural settings.
During the past decades, our environment has been critically polluted owing to the widening of the industrial processes and human actions. The result is the vast presence of chemical pollutants which can induce climate change and health problems. This situation leads to the development of novel waste abatement technologies. Among them, atmospheric non-thermal plasma (NTP) is a suitable technology to ensure pollutant dissociation since plasma chemical processes are quite energy efficient.
Your circadian rhythm is a “body clock” that controls 24-hour cycles and is crucial to obtaining regular and restful sleep. Over the course of evolution, input to this system was sunlight, but in modern society we are exposed to artificial light sources that differ in intensity, color, and timing compared to natural light. How circadian rhythms are affected by these aspects of artificial light is not fully understood, especially how different wavelengths (colors) of light can impact the timing of the clock.