Artis College of Science and Technology
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- Biology Department
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- School of Computing and Information Sciences
- MS in Data And Information Management
In the last academic year, each student is paired with industry mentors to solve real world problems with the tools they have learned.
- Below you will find student project abstracts, information about their mentors, and a short five minute project presentation from previous years.
2023 Project Abstracts Coming Soon!
2022 Project Abstracts
Reduce Waste and Optimize Utilization: Managing Blood Effectively
Presented by: Tracey Dudding
In 2013, the American Association of Blood Banks, AABB, estimated a total of 932,000 whole blood units wasted due to expiration . To reduce blood waste, inventory needs to be managed effectively and attributes associated with utilization need to be identified. Blood inventory data should be offloaded from operational systems to a data warehouse to produce automated, or without human interaction, reports and dashboards in order to efficiently communicate inventory. Wasted blood products can also be improved by using clustering and multiple correspondence analysis, or MCA, to identify variables associated with each other in regard to blood use. These variables can be used to start studying blood use and may be identified in waste. Blood waste can be reduced by conveying the inventory effectively and by first identifying variables associated with blood usage.
TRUST: A Tool for Reporting and Understanding Site Tracking
Presented by: Nolan Ierardi
Online privacy is an important concern for many internet users. By showing users how their data is being collected and presenting this information in a useful, actionable manner, they can make informed decisions on whether to continue using a website or seek out a more privacy-focused competitor. A fully integrated cloud solution will collect, ingest, store, and present data. Easily-interpreted scores and a ranking system will provide context and drive awareness.
Automated Misinformation Pipeline and Extended Repository (AMPER)
Presented by: Amanda Tolman
Many social media users are unaware that most of the information within social media platforms is false. Consequently, this hinders users of social media from making informed decisions for themselves and others. The unintentional spread of false information, also known as misinformation, and the deliberate spread of false information, disinformation, poses an alarming threat to trust, civic discourse, reputations, and democracies. Researchers are using various techniques in artificial intelligence and machine learning to combat these destructive outcomes. However, many researchers are trying to solve this problem with small amounts of data. Large datasets are scarce because data collection is time consuming. AMPER is an automated pipeline to extract, collect, integrate, and store news articles from multiple sources. AMPER runs on Amazon Web Services (AWS) and provides a dashboard summarizing the contents of the repository to increase usability for researchers and consumers.
2021 Project Abstracts
How Price Influences Customer Reviews
Presented by: Michael Hammond
The PC gaming platform Steam built a successful business by frequently discounting and slashing prices. General consensus in the gaming community associates price cuts with positive user reviews. This presentation not only shows a relationship between price changes and review scores, the research also shows a relationship with community interaction.
- Mentor: Linwood Hudson
- Title, Company: Senior Software Architect at Peraton
Analyzing Virginia’s Public COVID Data
Presented by: Hari Talari
Since the start of the pandemic, the Virginia Department of Health (VDH) has been a primary source of the Virginia’s COVID-19 data. The VDH collects data on new cases, hospitalizations, and deaths. The data includes information on age group, county, health district, and other properties. The VDH data impacts decisions made by the state, local communities, and individuals regarding lockdowns, hospital preparation, funding, and whether it is safe to get groceries. This presentation describes the publicly available VDH data and makes recommendations to improve the data to enable critical analysis.
- Mentor: Robbie Hiltonsmith
- Title, Comnpany: Analytics and Elasticity Engineer at 1901 Group
- I conduct research on and advocate for policy changes involving many of the most critical issues facing our country, including retirement security, higher education, and the role of the federal government.
Using Big Data to Enhance Small Businesses
Presented by: Zachary Bryan
Business Intelligence helps people and organizations make better decisions. Until recently, only large companies had the resources to take advantage of business intelligence. Today, even the smallest organizations are making data-driven decisions. This presentation describes an automated data pipeline to help a small veterinary hospital improve customer service and manage their practice more effectively.
- Mentor: Chuck Hicks
- Title, Company: COO and CFO at NCI
- Experienced Chief Financial Officer with a demonstrated history of working in the commercial real estate industry. Strong finance professional skilled in Government Procurement, Analytical Skills, Government, Generally Accepted Accounting Principles (GAAP), and Proposal Writing.
Time is the Secret to Building Wealth
Presented by: Noah Bledsoe
Retirement is often the last thing on a young individual’s mind, but investing early is the key to building wealth and securing a comfortable lifestyle. This presentation explains how to make money work for you by analyzing stocks with data visualization, optimizing your portfolio using the capital asset price model and sharpe ratio, and predicting stock prices with machine learning.
- Mentor: Gehard Pilcher
- Title, Company: President and CEO at Elder Research
- Gerhard has extensive industry experience in government oversight, financial, construction and telecommunication industries both as a business owner and executive. He is a recognized expert in three dimensional roadway modeling and automated machine guidance using Global Positioning Satellite systems and has presented to various agencies including the Transportation Research Board. In his role as Chief Technology Officer and VP of Engineering for Pulse Communications, Gerhard directed the design of early digital subscriber line systems (internet over the telephone line) and was a member of the international forum defining the standards for DSL implementation. Prior to Pulse Communications he was Director of Operations for Bell Northern Research leading the design and delivery of hardware and software for large scale telephony switching and fiber optic systems.
Summarizer Improves Reading Speed and Comprehension
Presented by: Pralad Neupane
Twitter is popular because messages are short and easy to read. What if book pages and news articles could be more like tweets? This presentation introduces Summarizer, a system that extracts and summarizes key points from a text while analyzing sentiment to produce a short gist that improves reading speed and comprehension.
- Mentor: Jagat Dhami
- Title, Company: Hadoop System Engineer at Amazon Web Services (AWS)
- Graduated in first DAIM cohort
- Experienced Data Specialist with a demonstrated history of working in the information technology and services industry. Skilled in Oracle Database, Risk Management, Amazon Web Services (AWS), R, and ETL Tools. Strong information technology professional with a Master of Science (MS) focused in Big Data Management from Radford University.
Presented by: Jesse Harden
Radford University acquired a senstive data set with the potential to enhance and improve advising, teaching, and student success. This project unlocked the value of the data without compromising confidentiality.
Presented by: Jasman Shakya
Companies and organizations want authentic feedback from customers about their brand and their products. This project analyzed tweets to gauge customer sentiment about the Samsung S8 iris scanner.
Presented by: Sajan Rai
Ever tried to catch a cab in the busiest city in the world? This project analyzed New York taxi data discovering valuable insights to help people maximize transportation options.
Presented by: James Caldwell
Radford University manages over 150 systems running on hundreds of servers. Each server must be checked daily for attacks, failures, and other critical problems. The current process drains productivity and leaves many systems vulnerable. Splunk enabled the University to create a common infrastructure facilitating hourly system checks to significantly improve response time.