Current Research Projects

The purpose of this page is to help undergraduates find faculty members who are looking for help on research projects. If you see a project you're interested in, click on "learn more" to find out the project details and then email the faculty member directly.  You can find archived projects by clicking here
  • Machine Learning/Deep Learning for Cyber Security

    We will design and develop machine learning/deep learning-based approaches for combating cyber security threats such as intrusion detection, dealing with malware, spam and social engineering detection, network traffic analysis, and user behavior analytics.

    Project Field of Study

    Department of Information Technology

    Faculty Mentor

    Liang Zhao

  • Confined Collective Migration of Breast Cancer Cells of Different Clinical Subtypes (Mechanical Engineering, Math, Biology, and Art)

    Cells utilize different mechanisms to migrate based on the microenvironments the cells reside in: on two-dimensional surfaces, cell migration is mostly driven by actin polymerization; in confined spaces, it can be driven by water permeation, which comes from polarized distribution of membrane ion channels and directional ion fluxes across the cell. We will study collective migration of breast cells with both mathematical and experimental approaches, along with a component of artwork, and have openings for undergraduate researchers. 

    Project Fields of Study

    Department of Mechanical Engineering
    Department of Mathematics
    Department of Molecular and Cellular Biology
    School of Art and Design

    Faculty Mentors

    Yizeng Li
    Glenn Young
    Eric Albrecht
    Craig Brasco

  • Exploring Environmental Technology: Developing a New Energy Eco-System

    U.S. Department of Energy (DOE) Solar Decathlon project showcases the future of the built environment: high-performance buildings so energy-efficient that their annual energy use can easily be offset with renewable energy. "Exploring Environmental Technology: Developing a New Energy Eco-System" will examine the Solar Decathlon and look to take small scale buildings to the next level through a variety of advancements.

    Project Field of Study


    Faculty Mentor

    Liz Martin-Malikian

  • Machine Learning and Artificial Intelligence

    The Center for Machine Vision and Security Research (CMVSR) is pursuing innovative research projects falling in the areas of machine vision, pattern recognition, machine learning, convolutionary neural networks (CNN), artificial intelligence, and evolutionary computation.

    Project Field of Study

    Computer Science

    Faculty Mentor

    Chih-Cheng Hung

  • Relationships Among Obesity, Physical Activity, and Maternal Metabolic Health

    Our interdisciplinary research team studies the influence of abdominal fat, physical activity/inactivity, diet, and other factors on metabolic health and risk for diabetes. This is an ideal program for students planning future graduate school in healthcare-related fields. Student assistants on our team gain experience with all parts of research—from planning studies and acquiring approvals to working directly with human participants and biological samples in the laboratory.

    Project Field of Study

    Exercise Science and Sport Management

    Faculty Mentor

    Katherine Ingram

  • Statistical Analysis & Data Visualization of a Data Set of 1600 Survey Results Measuring Work Related Burnout Using the Copenhagen Burnout Inventory (CBI)

    Need a statistical analysis of 1600 responses to the Copenhagen Burnout Inventory (CBI), which is an instrument with high validity and reliability. Using Excel and SPSS this statistical analysis would be part of a submission to a peer related journal. Specifically, need Chronbachs alpha for internal reliability, skewness, means, standard deviations, and multivariate outliers.

    Project Field of Study

    Statistics, Psychology

    Faculty Mentor

    Barbara A. Wood

  • A Comprehensive Approach to Support the Requirements Analyst Before, During, and After Requirements Elicitation Interviews

    Requirements engineering is the set of activities concerned with determining and communicating the expectations for a new or modified product, and the contexts in which it will be used. Requirements elicitation, i.e., the practice of collecting these features, called requirements, is the first of these activities and is recognized as a critical and difficult stage in the development of software systems. Among the available elicitation techniques, interviews with stakeholders are the most commonly used in practice. However, a comprehensive approach to improve the effectiveness and the quality of requirements elicitation interviews has not been studied yet. This research aims at filling this gap by providing a set of novel techniques and tools to support the analyst before, during, and after the interview.

    Project Field of Study

    Software Engineering and Game Design

    Faculty Mentor

    Paola Spoletini

  • Atlanta's Immigrant Crossroads: Untapped Potential or Utilized Promise for Newcomer Integration

    Recently several municipalities in the Atlanta area have declared themselves “welcoming cities” to immigrants and refugees. Atlanta is a new immigrant gateway destination and a region at the crossroads of receptivity (Singer, Hardwick, and Brettel, 2008).

    Project Field of Study

    Geography & Anthropology, Social Work and Human Services

    Faculty Mentors 

    Paul McDaniel
    Darlene Rodriguez