This research project focuses on mitigating the problem of spam email attacks by exploiting the spammer network's human resources. The goal is to create a context-aware language-based computer program that understands and is able to respond to human natural language. More specifically, the program will utilize neural network and other machine learning techniques to extract nonlinear patterns found by analyzing data containing spam conversations.

The goal of this research project will be to identify any causal relationships between invasive species and the longstanding water shortage. The research will be conducted by analyzing past and present weather data and the biology of these species in conjunction with observational data different sites in the Bay Area. The goal is to see if water usage, introduced elevation, and other diversions of precipitation potentially caused by invasive are impacting the amount of water that resides in our watersheds.

This research project explores all the different types of algorithms fully autonomous, unmanned vehicles use and compare and contrast aspects of each algorithm in order to determine which algorithms are more efficient. Gaining a clearer understanding of all the algorithms used can allow us to detect current flaws within the algorithms faster and improve the algorithms. Over the course of this project, the data collected will be both qualitative and quantitative data from reputable sources, including academic papers and scientific journals.

This research project will utilize R to find evidence in data that overexpression of a protein induces progression of lung squamous cell cancer. The Cancer Genome Atlas (TCGA) has a dataset of 500 patients through which can correlate survival rate with protein expression. Since high protein expression can involve copy number variations (amplifications/deletions), mutations, and methylation, this research project will be looking at many different datasets and aggregating the findings together.

Monolayer 2D materials such as graphene, silicene, and boron-nitride are known to have interesting electronic properties. Currently, researchers are intrigued with the possibility of combining these 2D materials with transition metals to form new functionalized materials. The present studies have dealt with the incorporation of these metals on the surface to increase the functionality of 2D materials.

The purpose of this project is to fully understand the growth of the cancer industry and compare the progress of cancer research with the growth of the cancer and pharmaceutical industry. This project will find descriptive stats about these fields and track the effectiveness of cancer therapeutics and the economic progress of these industries. Whether or not the progress is correlated, and whether or not economic progress slows down actual cancer research progress will be analyzed.

The purpose of this research is to find out the effect that mental health support has on cancer patients. There are many mental health support methods which aids cancer patients, however, some believes that it provides a strong support for cancer patients to rely on, while some claims that mental health support has no effect on cancer patients. This project will be investigating this subject by reading through journals published by researchers and analyzing the data.

Scratch holograms scatter light in order to formed raise images. As noted by their name, scratch holograms are made by creating abrasions on the surface of a dark colored flat surface. These abrasions are a series of arcs. This project will focus on making these series of arcs using a laser cutter set on its engraving setting. The engraved surface will be used to make a mold. Then, dark chocolate will be poured on the mold so that the effects of scratch holograms can be seen on an edible surface.

This research project is in collaboration with the Palo Alto airport to develop a plan to make the airport sustainable. The airport is at a point where they would like to make improvements, and they want to implement sustainability into their new plan. One aspect of sustainability is renewable sources of energy. This project will focus on planning and implementing solar power into the airport in the form of t-shades.

This research project will attempt to use mathematical methods as well as convolutional neural networks to predict the content of an image given context surrounding it. Applications include image editing as well as a real-time sensor, allowing the image to have a predicted fill rather than simply a black box. There is also significant research that implies that accomplishing this task may allow for an opportunity to train a network that can successfully represent natural looking images.