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Background: Wireless has become an critical IT service, however the ability of providers to monitor the service has not matured at the same rate. The emergence of low cost wireless devices has created an opportunity for building a system that aggregates data from a large number of distributed data collectors.

Problem Statement: While it is easy to monitor the devices that provide the wireless service, it is difficult to determine the user experience.

Objectives: Develop a low cost and scalable solution that monitors the campus WiFi network from an end-user's perspective and collects information and statistics that can be used to form a picture of the end user experience on our WiFi network.

Competitor's data or New logo data is often found as an unstructured text file. Extracting information from unstructured text and converting them into useful structured format is close to finding needle in a haystack. Several Natural Language Processes have been proposed and tested in the literature to perform unstructured document classification. However, deriving one or bunch of algorithms for our use case will be a good problem to solve, especially for students who seek to get to know the real world problems.
In this project, we would like the students to develop a process that will:

1) Be able to parse and extract payroll related information from unstructured text file;

2) Convert the original unstructured data into structured one;

3) Automatically verify the information in the converted structured dataset match the original data source.

 

The goal of this project is to find out if there is a relationship between a company's external activities (Political or Social), the company's internal activities (business process/purpose), and their chances of being breached. Breaking down various company profiles and their external exposure, students would create a correlation model to see what factors, if any, increase or decrease the likelihood of cyber attacks and then build a predictive model to test the hypothesis.

The goal of this project is to find the best time to buy an airline ticket. Airline ticket prices vary depending on how soon the flight is. Using attributes of a specific flight such as airline, departure date, return date, trip duration, departure city, arrival city, flight distance, etc. try to predict the optimal date to purchase a ticket. For instance, it is generally true that the farther in advance you buy a ticket the cheaper it will be. However, this is a very simple heuristic which may not be true. In this project you will try to determine the relationship between purchase date, flight date, and flight cost. Additionally, you will try to build a predictive model so that a user can choose a specific flight and be given an optimal date to purchase the ticket.

The aim of this project is to bring together diverse research communities such as information retrieval, data mining and machine learning, natural language processing, computer vision, computational social science, and human computer interaction, to potentially contribute towards building AI-based next-generation Information Processing Systems for an effective utilization of social media data for disaster response and management.

The goal of this project is to find creative ways to engage customers, based on your intensive data analysis of the online ordering data for qMenu. For example, your research can be finding/suggesting customer' s favorite dishes. Self-driven is the key to be successful for this position, but we have PhDs and economics experts in house to help at anytime. At the later stage, YOU or a company engineer can help turning your ideas into reality.

The project is to advance an interactive web-based tool that allows a user to click on a country to get information about its policy strengths and weaknesses from the perspective of a social market economy. The user can then simulate policy changes and see how this policy change changes the economic growth trajectory. Results will be presented through visualizations. Data sets will be prepared by the client.

Brief description: Web portal for maintaining parking space and maintenance information.

Background: Maintaining all information about 13,000 spaces and lots and decks can be overwhelming.

Problem Statement: A lot of information is through word of mouth, email, or phone calls. Often issues or tasks are forgotten and aren't tracked.

Objectives:
- touchscreen friendly interface to include mobile devices (ie. tablets and smart phones)
- 2D overview / map of individual lots and individual levels of parking decks
- upon touching an area on the display, a popup will appear
- the popup will display a form
- the form will have drop down selections to categorize issues
- the form will have text fields for entering detailed information
- the form will be dynamic (ie. the remainder of the form will change depending upon what is selected in the first few dropdowns)
- the form will be linked to a database
- selected users will be emailed upon creation relative to the category
- additional portal for entering data only

In this project, the student will conduct an analysis on the application of multi-factor authentication on business organizations and government institutions. The tasks of this project includes:

1) understand MFA and it's pros/cons;

2) Research the MFA legislation;

3) Research the applications of MFA in government agencies;

4) create a implementation plan for an MFA solution in a mid-size business organization.

5) Present the findings to GTA Executive leadership.

The US Department of State has encountered challenges with user acceptance, data quality and performance in its existing disparate (and thus largely incompatible) mailing list systems. Many of the existing systems are outdated or don't fully meet the needs of US Embassies and Missions. An IT service (CRM - Contact Relationship Management) has been implemented to address those challenges. It provides a central repository for all posts and domestic offices to store their contacts, and is actively being developed and improved by the Department itself, and thus has the potential to provide a more agile way to address the individual and collective needs of the different offices.

Many offices have inquired as to just how much more useful the new system is, so we will attempt to compare experiences and prior systems to the new system. We will assess CRMs shortcomings based on the pros and cons of the old systems and compare to user experiences with CRM

This Project aims to conduct a case study on the effectiveness of the newly implemented IT service in Business Intelligence department using the principles of ITIL framework. The case study will cover the whole life cycle of the IT service from service strategy, service design, service transition, service operation, and continual service management. In particular, this study will focus on the impact of the service before and after the implementation, success factors of implementation, and lessons learned.