Summer Research Opportunities
Large Scale Clinical Data Analysis
Dr. Kizza, with the College of Computer Science and Engineering, is now accepting applications for summer research assistance with Large Scale Clinical Data Analysis. The goal of this research is to use statistical predictive modes that are able to handle a large volume of medical dataset based on boosted regression trees (BRT). The main challenge is the large number of dependent variables (or features) (e.g., more than 600) and large number of categories (or classes) (e.g., as large as 150). Therefore, training task on this kind of data set is very difficult without parallelization. We plan to employ a large Hadoop cluster and HPC with SPSS modular to solve this issue. The Hadoop Predictive analysis will stop when the depth reaches a pre-defined threshold. If you are interested in this opportunity please contact Mark Harvey at Mark-Harvey@utc.edu for an application.
Geometrical Parameters and Institutional Building Energy Efficiency
Dr. Wang, with the College of Engineering and Computer Science, is now accepting applications for summer research assistance. His summer research project is to better understand how the changes of building geometry (e.g. building compactness, opening size) can affect building heating, ventilation and air conditioning (HVAC), as well as occupants' comfort. This research will be conducted through Computational fluid dynamics (CFD) modeling of an institutional buildings on UTC campus. If you are interested in this opportunity please contact Mark Harvey at Mark-Harvey@utc.edu for an application.
Effectively Integrating Instructional Technology to Enhance STEM Teaching and Learning
Dr. Ellis, with the School of Education, is needing a Computer Science / Engineering student with programming experience to help enhance a website that is designed to help enhance a student's conceptual and visual understanding of dimensional analysis. If you are interested in working with Dr. Ellis please contact Mark Harvey at Mark-Harvey@utc.edu for an application