CS457/557 Computational Intelligence
Final Projects
Many of these projects have generated SOURCE presentations or other student research products. Students have
learned how to do research, many of them for the first time in their life, since they generally are undergraduates.
They learn not just to write a program, but how to search for references, how to be innovative, how to write a
technical report and how to make a scientific presentation.
Here is a list of these research projects, illustrating how diverse they are:
2015-2016
 Data Augmentation for Gender Recognition on CNNs, Dmytro Dovhalets: Joseph Lemley
 Time Series Prediction using NN: Sanjita Timilsina
 Handwritten Digit Recognition of Indian Scripts: Yishui Liu, Sadia Afroze, Dipayan Banik
 Neural Encryption Implementing a Tree Parity Machine: Abdulrahman Gharawi, Jacob Brown
 Optimization of Graduation Plans with an Artificial Bee Colony Approach: Tim Tasse, Drew Hall,
Jonathan Hammond, Shane Thompson
 Cracking the ASSIRA CAPTCHA with a NN: Brant DenHerder, Richard Marker, Noel Rodriguez, Joshua
Estalill
 Insurance Policy Data Classification with NN on the CoIL Challenge 2000 Data: Julian Ramirez, Ben
Garza, Shane Christensen, Jack Wagster
 Plagiarism Detection using NN, Travis Hardman: Christian McMurtrie, Ryan Millard
 KenKen Puzzle Solver with Genetic Algorithm: Paulo De Lima
2013-2014
 ESO Predictor: Predicting Faction Movements and Keep Ownership: Alexander Belfiglio, Samuel
Hasenbalg
 Classifying Hand Gestures in a N.U.I. Environment using kNN: Blake DeGidio, Robert Yard
 Facial Recognition with Eigenfaces: Ryan Eilertsen, John Breidenthal
 Solving the TSP Using Chaotic Simulated Annealing: James Tunnell, Sami Abdul-Wahid
 Keystroke Timeing Identification: Anthony Porter, Zachary Wilcox
2012-2013
 Preventing Undergraduate Students Retention: Suvarna Arakh
 Spam Detection Filter using kNN Algorithms on GPUs: Patrick McElroy, Joshua Smithrud
 Phoneme Recognition: Marshall Brooks, Hank Burton
 Traffic Signal Optimization using Ant-Colony Heuristics: Kurt Boberg
 Using Self Organizing Maps to Infer Communities in Weblogs’ Social Network: Christopher Hansen
 Two-Level Clustering of Web Sites Using SOM: Marvin Evans, Leonard Patterson
 A Comparison of Machine Learning Techniques for Phishing Detection: Ryan Bolyard, Emaad Shah
2010-2011
 Knowledge extraction from hydrophones placed throughout the Columbia River - Jennifer Woods, Megan
Kostick, Zachary Haberman
 Text document classification using swarm intelligence – Andrew Wedling, Adam Mahlum, Nathan Scott
 Harmony search in transportation optimization – Barend Venter
 Protein folding using bee colony optimization – Kristoffer Hepler, Forrest Williamson
 Society and civilization: simulation of human behavior – Richard Chatterton, Brian Donohoe
 Stock market prediction system using artificial neural networks - Andrew Smigaj, James Smigaj
2008-2009
 Integrating the neuro-genetic CWU Chess engine in the ARENA GUI - Kyle Littlefield
 Society and Civilization: Simulation of Human Behavior - Martin Olevnik
 Expert system Asteroids - Kasey Loomis
 A GA approach for adaptive radiation - Wenbin Mei
 Sudoku solution via evolutionary computation - Eugen Roseberry
2007-2008
 Ant Colony Optimization for Graph Coloring - Brandon Wysocki, Benjamin Sisson
 Ordered Fuzzy ARTMAP for Predicting HIV-1 Protease Inhibitors - Christopher B. Abdul-Wahid, Grant I.
Barker
 Genetic algorithms in investment decision making modeling - Michael Wilson, Steven Curtis
 Attack detection in computer networks using a neural network approach - Hsun-Hung Chien
 A Genetic Approach for Crowd Simulation - Kevin Venables, Jason White
2006-2007
 Data Clustering with Particle Swarms - Jarrett Sauby
 SexualGA: Gender-Specific Selection for Genetic Algorithms - Robb Berry
 User Authentication using Backpropagation - Ted Steffen
 Computational Intelligence Techniques for Solving Rubik’s Cube - Joel Giese, Berk Erkul
 Modeling Civil Violence: An Evolutionary Multi-Agent Approach - Charles Stahl, Abe Dybvig
 A Neural Network Application for Attack Detection in Computer Networks - Toby Lewandoski
 A Self-Organizing Map Approach for Clustering of XML Documents - Sorin Bucse
2005-2006
 Web Data Mining - Jessica and Aaron Berglund
 Fuzzy ARTMAP Function Learning for Chess - Luke Magill
 Ant Colony Optimization Applied to the Seega Game - Andrew Szydlowski, Andrew Howell
 CWU Monsters Game - Luke Arntson, Loren Harris
 Code breaking - Chris Lee
 Language Processor - Blaire Sherman
 Password authentication using Backpropagation - Jonathan Widger
2004-2005
 Computational Chemistry - Sarah Abdul-Wahid, Catharine Collar
 Voice Recognition - Virgil Mednick
 Email Data Mining - Robert Mitchell
 Swarm Theory and Enemy Armor - Eric Newhouse
 Optimization of Buffer Sizes in Asynchronous Assembly - Yu-chih Hsiao
2003-2004
 Music Notation Convertor - Andreas Stefik
 Swarm Intelligence in Checker - Kelly McBride, Tye Wick
 Neural Networks in Chess - Ashur Odah, Joe Lemley, Phil Leder, Pushpinder Heer
 Spam Filtering using Computational Intelligence Techniques - Aaron St. John, Cory Stuart, Michael West
 Japanese Kanji Character Recognition - Andrew Pickard, Benjamin Rooney
 Customer Satisfaction Measuring using Neural Networks - Logan Riggs, Tom Rockey, Michael Pankiewcz