-
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
Architecture
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
