UTA Virtual Innovation Day
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Innovation Day Projects
#
Type
Title
1
Graduate
Vehicle Configuration Compendium
2
Graduate
Design Safe River Crossing Bridges for Texas
3
Graduate
Solution to Bakoteh Open Dumpsite at Gambia
4
Graduate
Development of Solid Waste Management Life Cycle Assessment Tool for Developing Countries
5
Graduate
Determining Downstream Ecological Impacts of Sediment Derived from Bridge Construction
6
Graduate
Electrothermal Sensitivity of Semiconducting Nanoengineered Concrete
7
Graduate
2D Mix-Compression Inlet Sizing of Supersonic Vehicles
8
Graduate
Understanding Distracted Driving Behaviors
9
Graduate
Developing a Sustainable Solid Waste Management Strategy framework for developing countries
10
Graduate
Domain Adaptive Transfer Learning on Visual Attention Aware Data Augmentation for Fine-grained Visual Categorization
11
Graduate
Unsupervised Hyperspectral Unmixing Via Nonlinear Autoencoders
12
Graduate
Therapeutic potential of targeted nanoparticles to induce angiogenesis in peripheral artery diseases
13
Graduate
Assessment of Factors that Affect Hydrogen Sulfide Corrosion of Manhole Shafts
14
Graduate
Evaluation and Retrofitting of Prestressed Concrete Bridge with Excessive Vibration
15
Graduate
MultiSorb: A low-cost approach to remove multiple metals and organics from leachate
16
Graduate
Implementation of Forward Error Correcting Codes in UTA Coherent Optical Communication Testbed
17
Graduate
Food and Flora Waste to Fleet Fuel: Development and Application of the F4 Framework
18
Graduate
Beamforming Using Quasi-Optical Approach for 5G Backhaul
19
Graduate
CoWiz: Interactive Covid-19 Visualization Based on Multilayer Network Analysis
20
Graduate
Effects of Photostimulation on Neural Stem Cell Differentiation
21
Graduate
Comparison of Neural and Fuzzy Models for Vowel Recognition
22
Graduate
Optimal Unmanned Swarm Motion in the Presence of Faulty Nodes
23
Graduate
Above-the-Bin Recyclable Plastic Detector
24
Graduate
Leveraging Stream Processing and Complex Event Processing for Situation Monitoring from Extracted Video Contents