Past Projects and Participants

2022

Nathan Balcarcel Washington State University VizDoom Pathfinding AI

Noah Elmore Washington State University Impact of Training Environment on Specialized AI Implemented with Reinforcement Learning

The program was not offered in 2021 due to COVID.

Aaron Brookhouse Michigan State University, MI Self-Attention in Multivariate Time-Series Classification

Alissa Cielecki Arcadia University, PA Impact of Language Choice on the Vulnerability of Multi-Language Software

Jonah Davis University of Rochester, NY Digital Assistant for Resilient Operation of the Power Grid Using NLI

Luisiana Dominguez Lehman College, NY Deep Reinforcement Learning for General Game Playing

Bryn Loftness Colorado Mesa University, CO Aiding the Integration of Automatically Generated Tests into Pre-Existing Manually Written Test Suites

Filipp Shelobolin Carnegie Mellon University, PA Detecting Patterns and Anomalies in Covid-19 Spread using Dynamic Graphs

Kaylee Trevino University of Texas at Austin, TX Minimizing Wireless Transmissions of Wearable Bioelectronics Using Artificial Neural Networks

Zachary Cutler University of Utah Project: RepeatAnalyzer 2.0: A Web-based Tool for Analysis and Management of Short Sequence Repeat Data

Kemas Asim Fauzi Miami University Project: Integrating Action Response in RAS

Stephen Iezzi New Jersey Institute of Technology Project: The Application of Deep Learning Methods to Epigenomic Data

Collin Kummer Washington State University Project: Initial Prototype Development of a Novel Catheter Navigation System for Endovascular Medical Procedures

Austin Marino Washington State University Project: Characterizing Multiple Programming Language Usage in Open Source Projects

Michael Martin Buena Vista University Project: Improving the Accuracy and Analysis of the Digital Memory Notebook (DMN) Dashboard

Chantal Shine University of North Carolina at Chapel Hill Project: Monitoring Eating Patterns Among Adults

Lauren Smith St. Mary's College of Maryland Project: Measuring Resiliency in Power Grids Using Graph Metrics

Nathaniel Sprecher Grove City College Project: Detecting Erroneous Entities in Attributed Graphs with Graph Neural Network

Marcus Blaisdell Washington State University Project: Machine Learning for Efficient Genome Assembly Construction: A Ranking-based Approach

Sunny Chiu Colorado College Project: Personalized Human Activity Recognition: An Active Semi-Supervised Learning Approach

Jacob Cillay Pitzer College Atsuyo Shimizu Binghamton University Project: Digital Memory Notebook Dashboard

Rafi Khaled Vassar College Project: Phenomic Predictions' Insight into Environmental and Genetic Significance

Julia Maliauka California State University Project: Dynamic Robot Placement in Smart Environments

Lucia Martisovitsova University of Central Florida Project: Predicting Emotion Based On Biological Signal Inputs Using Machine Learning

Timothy McAleer University of Washington Project: Predicting Transitions Between Activities to Customize Tutorial Videos

Evan McElheny Marist Project: Expanding Why Not Queries in Data Graphs

Jordan Roth Kansas State University Project: Evaluating Artificial Intelligence Tests for Consistency in Distinguishing Degrees of Intelligence

Caroline Rublein Lock Haven University Project: Identifying Anomalies in Power Grid Sensor Data Using LSTM Neural Networks

David Bai Colorado College Project: Data Anomaly Detection Tool for Cyber Security in Transactive Energy Environment

Ji Bok University of Georgia Project: Infant Pain Detection Using Fast Fourier Transformed ECG Data

Carter Carlos Washington University in St. Louis Project: Comparing Convolution Transpose Methods in a U-Net Trained on MRI Classification

Casey Fleck Coastal Carolina University Project: Exploratory Keyword Search Over Graphs with Quality Guarantees

Ellis Hoag University of Illinois at Urbana-Champaign Project: Optimizing Continuous Spaces via Multi-Fidelity Evaluations: A Multi-Scale Bayesian Approach

Daylan Kelting Washington State University Project: Improving Non-expert, Human-defined Sub-task Hierarchies

Michelle Medici Simmons College Project: HomeKit-based Sensor Network

Kaylee Nguyen Washington State University Project: Generating Comments for Methods

Skyler Norgaard Kalamazoo College Project: Deep Learning Algorithms for Human Activity Recognition with Applications in Transfer and Active Learning

Nathan Seitz University of Illinois at Chicago Project: Developing Power Models for Smart Watches to Improve Battery Lifetime During Long Term Data Collection

Not shown: Jordana Dahmen.

Jordana Dahmen Washington State University Project: Using Wearable Sensors to Detect Changes in Physical Activity
Kathryn Kresnye Xavier University Project: Perceptions of Unmanned Aerial Systems
Shayan Monadjemi University of Texas at Dallas Project: Top-k Event Discovery for Graph Streams
Linh Nguyen Washington State University Project: Adaptive Phasor Measurement Units for the Smart Electric Grid
Charles Packer University of California San Diego Project: Mining Data from Graphs Using a Novel Dictionary-based Compression Method
Christopher Pereyda Whitworth University Project: Comparing Artificial Intelligence Systems Using Visual-Only Input Through ViZDoom
Vanessa Putnam University of California Santa Cruz Project: Randomized Local Search for Structured Prediction
Jonathan Squibb University of Illinois at Chicago Project: Graphical User Interface for RepeatAnalyzer
Ryan Torelli Washington State University Project: Activity Recognition and User Identification Using a Wearable Stretch Sensor
Timothy Vierow Washington State University Project: Renaming Automatically Generated Code

Not shown: Alex Gain.

Rebecca Baumher University of Pennsylvania Project: Graph Pattern Mining Revisited for Personalized Knowledge Discovery
Jessie Bryant Washington State University Project: Laser Power Beaming in Smart Homes
Daniel Cardona Cornell University Project: K-Core Approach to Graph Community Detection
Madeline Chili Elon University Project: On the Ability to Provide Demonstrations on a UAS: Observing 90 Untrained Participants Abusing a Flying Robot
Alex Gain Tulane University Project: Compression = Intelligence?
Nicholaus Jackson New York University Project: Learning Macro Operators for Large Multi-Label Output Spaces
Ellen Louie George Washington University Project: A Signal Segmentation Tool to Facilitate Research Involving Wireless Sensors
Glory Obielodan Utah State University Project: Managing Bad Data in Smart Electric Meter Measurements Using Data Mining Techniques
Deontae Pharr Kennesaw State University Project: Real-Time Collection of Sensor Data for Android-Based Wearables
Sebastian Rodriguez Northwestern University Project: RTPMU: A Multi-Threaded Real-Time Data Validator for Phasor Measurement in Smart Electric Grids