Electrical and Computer Engineering
Faculty Mentor: Dr. Bashir Morshed
Faculty Mentor's Department:Electrical and Computer Engineering
Telephone Number/Email: 678-3650; firstname.lastname@example.org<
Project Description: The primary research question that this project aims to address is how scalp electroencephalogram (EEG) data be effectively used to develop personalized instruction plan for children with development delays. Scalp EEG monitors synchronous neuronal activities in the brain that relates to various degrees of cortical functions. Multi-electrode EEG configurations (eg. International 10-20 system) allow source localization in 3D space to identify the active brain region in temporal domain. The recorded signals are classified in alpha, beta, gamma, delta, theta, and mu waveforms based on frequency contents. Beta waves (13 to 30 Hz) from frontal (and parietal) lobes are known to intensify during alert, engaged and working state of the brain. This project develops a wireless EEG system for easy and immediate feedback of children with developmental delays. This is extra challenging to determine for children who have certain developmental delays such as autism, cerebral palsy or other delays that make it difficult to see typical responses. By recording EEG responses remotely, we expect to be able to identify teaching strategies are the most effective for an individual child with severe development delays. Analysis of data will allow the formulation of personalized instruction plans and improve classroom curriculum.
Requirements for Student Applicants: Students must be prepared to work on programming of the software for the wireless EEG system, data collection and analysis. Students with previous experiences with programming languages (C++/Visual C/Visual Basic etc.), Matlab, database software, and statistical analysis will be given preference. Adherence to strict protocol, tidy record keeping, diligently, and good oral and written communication skills are mandatory.
Starting Date: To be negotiated
Method of Compensation (Volunteer, Academic Credit, or Stipend): Volunteer
Faculty Mentor: Dr. Chrysanthe Preza
Department: Electrical & Computer Engineering
Telephone Number and/or Email Address: email@example.com
Project Description: High resolution 3D computational imaging of thick samples
Much research has been conducted in computational optical sectioning microscopy (COSM) - a technique used widely in microscopy for the non-invasive visualization of three-dimensional (3D) samples labeled with fluorescence dyes- over the years resulting in both open source (http://cirl.memphis.edu/cosmos/) and commercially available software. The goal of this project in Computational Imaging Research Laboratory (CIRL) is to develop new corrective methodologies for COSM that are suitable for imaging thick samples. Refractive index mismatch and heterogeneity within thick samples produce image distortions that worsen with imaging depth in conventional microscopes. These distortions not only reduce image resolution but also they result in image processing artifacts when the data are processed with algorithms (software) that are based on a thin-sample imaging model. The research is based on a novel and innovative approach that integrates computational development with a new imaging system design that includes structured illumination. Specific research includes 1) developing mathematical models that can accurately predict data acquired with the novel imaging system; 2) developing and testing model-based data processing algorithms to estimate accurate fluorescence concentration in 3D images; and 3) developing a software package for the user community. Performance and utility of the new methods is being tested on data from test objects and biological samples. Students selected for this project will have the opportunity to participate in different aspects of this interdisciplinary research based on student skills and interests.
Requirements for Student Applicants:
Major -Electrical Engineering, Computer Engineering, Computer Science, Physics, and Biological
Skills – curiosity, interest to learn, attention to details, responsible and dependable
Academic standing – GPA 3.0 or higher
Application or Interview Process: Unofficial transcripts
Hours per week the student will work: 10-20 hours/week
Start Date: Immediately
Methods of Compensation: Volunteer