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Research

  • Sumit Chakravarty - Retinal Image Analysis

    Develop computer assisted reading (CAR) tool for ocular disease identification and quantitative description, particularly to address the following issues:

    1. Glaucoma detection
    2. Hemorrhage deteiction
    3. Micro-aneurysm detection
    4. Exudate detection
    • SANDIP DAS - Fabrication & Characterization of Low-cost High-Efficiency Hybrid Solar Cells

      This project aims at fabrication and characterization of a new class of hybrid solar cells using inorganic-organic perovskite nano-materials. These solar cells will use raw materials that are 100 times cheaper than the materials currently used in commercial solar cells. Also, this new material system promises high efficiency. Students will gains significant hands-on experience in solar cell fabrication and/or characterization. Also, they will learn essential laboratory skills and gain knowledge of the latest 3rd generation solar cell technologies. Successful completion of the project will allow students to present their research results in a regional or national conference and coauthor publication(s).

      • Roneisha Worthy - The Impact of Heat Source on Composting Barrel Biological Processes.

        The rate at which composting occurs depends on physical as well as chemical factors. Temperature is a key parameter determining the success of composting operations. Increases in temperature for a composting barrel can be achieved in various ways like solar power and electrical heating elements. This project will explore the performance efficiency of these temperature control measures, in addition to their costs and relative benefits.

        • Kevin McFall - Testing and modifying go-cart sized autonomous vehicle

          This project aims to continue work on an existing go-cart sized autonomous vehicle by fine-tuning the image processing and control system software which interact with sensors and motors.

          • Eduardo B. Farfan - CAP88 and GENII assessment computer codes using 2014 atmospheric releases from the US Department of Energy Savannah River Site

            Radiological airborne emissions from U.S. Department of Energy (DOE) sites are regulated by the U.S. Environmental Protection Agency (EPA) under the Clean Air Act as part of the National Emissions Standards for Hazardous Air Pollutants (NESHAP) regulations (EPA 2011). The EPA approved Clean Air Act Assessment Package – 1988 (CAP88) is the dosimetry code used by most DOE sites to demonstrate compliance with the 100 µSv y-1 NESHAP annual dose standard. CAP88 is a set of computer programs and databases used for estimation of dose and risk from radionuclide emissions to air. GENII is a set of software for calculating radiation dose and risk from radionuclides released to the environment. The GENII-NESHAPS edition automatically incorporates specific requirements of the NESHAPS regulations. However, EPA has not approved it for demonstrating compliance with NESHAPS Subparts H and I. Consequently, further studies are needed before EPA approves GENII-NESHAPS. The benefit of GENII is its flexibility to be used as an assessment tool for radionuclide releases to air and/or rivers. On the other hand, CAP88 is limited to airborne releases. Using one code for both types of releases will make dosimetric calculations much easier. This effort will include 1) running CAP88 and GENII-NESHAPS using the same source term data (atmospheric releases from the US DOE Savannah River Site, 2) compare the results from the codes, 3) write a scientific manuscript, and 4) present the study at conference.

            • Cyril Okhio

              3D-Advanced Manufacturing AM Materials Development

              2. Experimental investigation of Mechanical Properties of AM Components.

              • Fatih Oncul - Rubble House Research Project

                The Rubble House concept has emerged as a replacement home idea for Haitians who lost their homes during the 2010 earthquake. Research activities have been going on in both experimental and numerical modelling areas. There is also a decent amount of lab testing data waiting to be processed and published. Experimental research involves cutting 8 or 10 gauge wires, creating wire baskets, filling baskets with loose material and performing load testing. Numerical modelling research involves creating 3D computer models with SolidWorks or similar software, and conducting stress analysis through finite element analysis tools.   

                • Dan Lo, Kai Qian – Big Data Security

                  This project will investigate big data security concerns and security analysis on big data. Students will exercise attack scenarios, develop countermeasures, analyze security on big data, and secure big data systems.

                  • Paola Spoletini - (DARE – Discovering Ambiguities in Requirements Elicitation)

                    The project focuses on the analysis of ambiguities in requirements elicitation.

                    Requirements elicitation is the process of discovering requirements for a system by accessing available knowledge sources, and by communicating with the stakeholders who have a direct or indirect influence on the requirements. Among the available requirements elicitation techniques, interviews between the requirements engineer and the customer are the most commonly used and are considered among the most effective for knowledge transfer. However, several factors, among which ambiguities are predominant, can negatively affect the interview process. In a preliminary work on this subject, we have analyzed several interviews and used this analysis to classify different kind of ambiguities in interviews. Moreover, from this analysis, we have observed that ambiguity can be exploit to discover tacit knowledge, i.e., the knowledge that a customer has, but is withhold from the requirements analyst.

                    The goal of the project is to validate and detail the existing classification of ambiguities in interviews and to define clues useful to identify ambiguities. The students will work on a set of recorded interviews and will also generate together additional requirements elicitation scenarios.

                    • Theodore Grosch - Radar imaging with a coffee-can radar

                      The students will start with the example of a FM/CW radar designed at M.I.T. and find what limits resolution and construct an improved radar and prove it’s performance.

                      • Adeel Khalid - Wind Turbine Design for Low Speed Wind Applications

                        Student will design wind turbine blades of varying geometries using CAD. CFD analysis will be performed to predict their performance for low wind speed environments like Georgia. The selected design will be fabricated using 3D printing and tested using the Wind Lab apparatus.

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