Honors Projects from 2023
Agent-Based Modeling of Asset Markets: A Study of Risks, Preferences, and Shocks, Evan Albers
A Quadtree-Based, Multi-Resolution Algorithm for Computing Viewsheds on Grid Terrains, Lily Caroline Smith
A Machine Learning Approach to Sector Based Market Efficiency, Angus Zuklie
Honors Projects from 2022
Outlier Detection in Energy Datasets, Stephen Crawford
Exploiting Context in Linear Influence Games: Improved Algorithms for Model Selection and Performance Evaluation, Daniel Little
Honors Projects from 2021
Improving Energy Efficiency through Compiler Optimizations, Jack Beckitt-Marshall
Cascades and Overexposure in Networks, Kim Hancock
The Congressional Database: Designing a Web Application Using an HCI Approach, Liam R. Juskevice
A Comparative Study of Equilibria Computation in Graphical Polymatrix Games, Yuto Yagi
Honors Projects from 2020
Word Embedding Driven Concept Detection in Philosophical Corpora, Dylan Hayton-Ruffner
Virtual Reality Accessibility with Predictive Trails, Dani Paul Hove
Ideal Point Models with Social Interactions Applied to Spheres of Legislation, Luca Ostertag-Hill
Honors Projects from 2019
GEM-PSO: Particle Swarm Optimization Guided by Enhanced Memory, Kevin Fakai Chen
Teaching Computers to Teach Themselves: Synthesizing Training Data based on Human-Perceived Elements, James Little
Honors Projects from 2018
Real-Time Object Recognition using a Multi-Framed Temporal Approach, Corinne Alini
An Output Sensitive Algorithm for Computing Viewsheds and Total Viewsheds on 2D Terrains, Andrew P. Prescott
Honors Projects from 2017
An Investigation of Genetics-Based Machine Learning as Applied to Global Crop Yields, William Gantt
Modeling Strategic Behavior in the U.S. Senate Using Ideal Points with Social Interactions, Tucker Gordon
DS-PSO: Particle Swarm Optimization with Dynamic and Static Topologies, Dominick Sanchez
Honors Projects from 2016
Robot Detection Using Gradient and Color Signatures, Megan Marie Maher