Location-based services such as Recon Instruments’ Engage web application provide feedback to users based on analysis of GPS trajectory data. While existing data analysis platforms such as Hadoop- GIS provide simplified support for batch processing of massive amounts of “big spatial data”, they are not efficient for supporting iterative machine learning algorithms (such as those […]

Regular expressions can be thought of as a mini programming language that has a general pattern notation that allows you to search texts for occurrences of string patterns. Recently, a prototype compiler for regular expressions was introduced that provided a 5x or better performance advantage over its closest competitors. The prototype implemented a novel new […]

This project studies Machine Learning algorithms for multi-category document classification. The purpose is to effectively predict user’s behavior based on the contextualization of the advertising and the associated document and therefore, to increase the click rate and the success of a dynamical advertising campaign. Due to the nature of the World Wide Web, the feature […]

Today’s high performance computers offer the possibility of computing complex large scale computational fluid dynamics simulations in a reasonable time. In practice, exploting the thousands of computing cores to achieve the desired solution time is very challenging. These challenges include finding enough work to keep all these cores busy, and assigning work to different parts […]

This project investigates the cost effectiveness of applying product line techniques to the development of the common elements of certain types of video games. Approximately ten games will be analyzed to identify those parts that are used by most of the games. Those commonly used parts will then be re-engineered to make them more generic […]

eThor is a startup company that develops applications for mobile devices in the area of e-commerce for wholesale and retail customers, initially in the restaurant industry. The internships proposed in this application relate to the expansion of data gathering, data mining and social network capabilities for the applications development. The data gathered will be transformed […]

Acculogic develops state-of-the-art testers for short-batch electronic circuit boards (ECBs). The order in which the required tests are performed affects the amount of shuttle and probe movements required between the tests, and this affects the overall efficiency of the test procedure. Unique characteristics of the problem (e.g. the ability to move one set of probes […]

This project aims to create a set of innovative business intelligence tools to enhance advanced data analytics capabilities of the Perspective system developed by PPM 2000. The Perspective system is an incident management system that facilitates corporate incident data collection, reporting, analysis and management. Incident data is a post-event record of accidents, thefts, hazards, or […]

The main objective of the project is to develop a customizable corporate challenge and integrated workplace wellness tracking and self-monitoring platform. Physical inactivity has a direct impact on employees’ medical condition, workplace stress, health metrics, self-reported work impairment, and absenteeism. Thus there is a crucial need for wellness programs that maximize employee participation to physical […]

With the increasing popularity of Internet, online advertising becomes a new marketing opportunity by instant globally advertisements (ads). At the basis, the process of online advertising can be considered as a buyer/seller relationship, where the two of the key participants are publishers (i.e. seller) and advertisers (i.e. buyer). Publishers make money through hosting websites with […]

Companies with a strong online presence are seeking to increase users’ engagement by adding recommendation and prediction algorithms to their websites. These algorithms can for example predict which users’ actions are more likely to happen and which users’ actions are likely more profitable. Companies use such algorithms to tailor the content of their websites based […]

The goal is to investigate the realistic appearance models for complex reflectance properties, modeling reflectance, masking and inter-reflection at many scales. In the end, comparison and basis-space representation will be leveraged to develop an interactive rendering application for pre-visualization and in-game portrayal of complex materials.