We will harness the power of Mirametrix eye-tracking technology to offer a viable means of probing internal mental processes that were previously intractable without more expensive or invasive techniques. Through the innovative application of popular statistical methods and state-of-the-art machine learning techniques, we will produce a software plug-in capable of online and offline pupil size […]

Text documents often include information pertaining to geographic locations. Mapping these place names to specific geographic locations currently requires a considerable amount of human effort to match the text with a GIS or other mapping system. This becomes especially challenging when the same place name is represented by multiple places, such as in the naming […]

This project is focused on exploring volunteered geographic information (VGI), a special classification of widely available and pervasive data, which is commonly afflicted by issues degrading its overall quality. These issues make the applicability of VGI for a variety of projects in government, private, and scientific sectors questionable. We hope to design and implement several […]

GestureLogic is building a product that optimizes athletic performance. The product is a wearable sensory network that monitors muscle activity. The goal of this research is to take this inherently complex muscle data that is acquired by the sensory network and translate it to useful biometrics for the consumer with the help of intelligent algorithms. […]

Multidisciplinary automated design-optimization (MDO) is a rapidly growing field of interest in sectors as diverse as architecture, engineering, science, and more. Often the computational cost of doing such optimization can be staggeringly high, requiring hundreds of computers connected through high-performance networks with complex custom designed software to support it. To address these problems, we propose […]

The precise management of the state of polarization of the light that is generated and all-optically processed within a photonic integrated chip (PIC) is of utmost relevance towards the conception of polarization-independent photonic integrated systems. This proposal aims to conduct an assessment of various design options of polarization converters for the specific application mandated by […]

Microwave Imaging (MWI) is an emerging modality where the goal is to estimate the electrical properties of an object-of-interest. This is done by transmitting a microwave signal into the OI and collecting measurements outside the OI. The measurements are inputs to an optimization algorithm that solves for the unknown electrical properties. It has been proven […]

In this project, we will collaborate with Actenum our industry partner tackle the challenges of online analytics processing (OLAP) queries on in-memory databases that are updated frequently. Specifically, we will address the technical research issues about how to conduct effective and efficient OLAP on frequently updated data stored in a large in-memory database, and retain […]

The industry partner 1QBit has access to a processor that uses an adiabatic annealing technique to address a special class of optimization problems for initial application in finance. Optimization problems have a long and broad relevance to challenges faced in the financial sector. The prospect of quantum annealing as a way to innovate in solving […]

At any given time, a casino has to decide which table games to present to its customers and what betting limits to place on those tables. Understanding that a table games is a service and that the table limit is pricing, this is a classic service pricing problem. However, the number of tables and the […]

Founding a technology startup company is never an easy endeavor. There are major challenges on both the technology side and the business/commercialization side. For Tutela Technologies Ltd. it appears that the commercial validation of the technologies invented is proving to be the largest challenge. The initial internship and research will focus directly on Tutela Technologies […]

Artificial 3D vision is computationally intensive. It takes an impractically long time for a robot to analyze a video frame in order to accurately estimate the locations of nearby obstacles. This project will develop new techniques for selecting only the most important regions of each video frame to analyze at each moment, so that a […]