Completed M.S. students
2021 - Anurag Polampelli - "Automatic Attendance Through Face Recognition"
2020 - Jay Patel - "Question Answering Across Knowledge Bases Using Graph Convolutional Network"
2020 - Matthew Anderson - "Tessellation Shader Detail Implementation for Simple Surfaces using OpenGL"
2020 - William Dobson - "An Enhanced Ant Colony Algorithm for Compiler Instruction Scheduling"
2019 - Priya Gundlupet Venkatesh - "Enhancing Image Inpainting with GANs"
2019 - Divya Devarakonda - "Time Series Analysis and Forecasting of Crime Data"
2019 - Bhoomi Shah - "Botnet Account Detection on Twitter using Deep Learning"
2018 - Bhagyashree Rawlani - "Distracted Driver Detection using Capsule Network"
2018 - Thrilok Ravindra - "Simulation of Water using OpenGL/JOGL"
2018 - Prem Bhaskara - "Hardware Implementation of Neural Network with Particle Swarm Optimization on FPGA"
2018 - Nientzu Kuan - "Forecasting Future Stock Price Movement by Market Sector using LSTM Recurrant Network"
2018 - Aditya Babhulkar - "Self-Driving Car using UDACITY's Car Simulator Environment and Trained by Deep Neural Network"
2018 - Sudarshan Deo - "DL with CNN for Image Recognition: Step-by-Step Process from Preparation to Generalization"
2018 - Ramya Vellore Ramesh - "Pandemic Disease Monitoring Tool using Twitter Data"
2017 - Mrunal Makwana - "EEG Sensor Data Analysis for Mental Health Assessment"
2017 - Suganya Srinivasan" - "Moviebox: An Android Application using Rest Interface"
2017 - Kurt Miller - "Memory Mechanism for Argument Component Link Prediction"
2017 - Sinduja Balasubramanian - "Text Mining on Amazon Reviews to Extract Feature-Based Feedback"
2017 - Prachi Utkhede - "Framework for Intelligent Homes"
2017 - Iyoel Megerssa - "Generative Adversarial Networks for Palliative Care"
2017 - Raymond Rivera - "RAGE: A Programmable Shader-Based OpenGL Renderer and Scene Graph"
2017 - Jon Tinney - "Virtual Reality on the Web"
2017 - Meetkumar Patel - "WEBOICE: Voice Enabled Web Browser"
2017 - Cody Jackson - "Virtual Reality Technical Demos"
2017 - Diveena Thirupathy - "Community Shop: A Web Application for a Social Shopping Experience"
2017 - Subashini Hariharan - "ZeroQ - Android Mobile Application"
2016 - John Keeling - "SpeKculator: Genetic Algorithm Chord Progression Generator"
2016 - Charu Khosla - "YouTube Data Analysis Using Hadoop"
2016 - Kalyani Gandhi - "Earthquake Prediction Using Spark"
2015 - Sripriya Shekar - "Content Analysis of Participant ITEST Journals"
2014 - Aditya Hiran Pilla - "Career Plan Tracker"
2014 - Eric Henderson - "Terrain Based Memetic Algorithm for a Self Splitting Neural Network"
2014 - Shirish Gajera - "An Improved LightsOut app for the Android"
2013 - Arun Pandian - "Training Neural Networks with Ant Colony Optimization"
2013 - Amer Harb - "Face Recognition in Hyper Facial Feature Space"
2013 - Sonal Sharma - "NNGo9x9: Evolving a Neural Network to play Go"
2013 - Greg Cantrell - "Viewer Perspective Kiosk"
2013 - Steven Ray - "Genetic QWOP - Evolving a Bipedal Gait in a 2D World"
2012 - Avinash Pandey - "Model for Communication with a Cognitive Memory"
2012 - Adam Ruggles - "Stereoscopic Tracking in Three Dimensions with Neural Network Hardware"
2012 - Nadir Hajiyani - "Web-Based Technology Solutions for Not-For-Profits"
2012 - Ameya Deo - "Neural Network for Intelligent System Monitoring"
2011 - Phaedra Krizo - "A High School Game Programming Curriculum and its Effects on Student Motivation"
2011 - Brad Johnson - "Terrain-Based Memetic Algorithms Visualization"
2011 - P. Hatwalne - "SQLiDetect: A Web-Based Intrusion Detection Application for SQL Injections"
2011 - Alok Nakate - "Neural Networks Non-Linear Scaling"
2010 - Brian Lavender - "Implementation of Genetic Algorithms into a Network Intrusion Detection System"
2010 - Hitesh Wadhwani - "A Tool for Tracking Objects through V1KU, a Neural Network System"
2010 - Ryan Norton - "Self-Splitting Neural Network Visualization Tool Enhancements"
2010 - Akshaya Togrikar - "Image Sharing Application (IShA)"
2010 - Dylan Bartholemew - "Two-Dimensional Chunk Extraction in Self-Splitting Neural Networks"
2010 - Jake Locken - "An Integrated Solution to Reducing Foam Waste in an Automated Beverage Dispenser"
2009 - Joseph Graf - "Checkers Game for the iPhone with Trappy Minimax"
2009 - Leo Lu - "Xiangqi with Trappy Minimax"
2009 - Teza Madalasa - "RSS Feeds System for News Websites"
2008 - Antoine Hersen - "Holonomic Functions and Ore Algebra in Axion"
2008 - Philip Truong - "Training Self-Splitting Neural Network with Particle Swarm Optimization"
2008 - Ratnesh Raval - "Retriever for the Desktop"
2007 - Hamid Ghasimeyeh - "Analysis and Implementation of a New Multiuser Strategy Game"
2006 - Tahar Lemseffer - "Course on Oracle Query Optimization"
2006 - Satish Chollangi - "Academic Advising Application Using ASP.NET2.0, C# and PSP2.1"
2006 - Paul Andrew Skaggs - "Games with Personality: Controlling Game Agents Using Artificial Neural Networks Trained for Unique Play Styles"
2006 - Jeb Crouson - "A Self-Splitting Modular Neural Network"
2006 - Venugopal Chilamkur - "Ingres-Oracle Bridge Tool"
2006 - Michael Pope - "Terrain-Based Genetic Algorithm - A Comparative and Visual Study"
2005 - Brian Johnson - "GIS Routing with a Genetic Algorithm"
2005 - Kamal Lemseffer - "Oracle Query Optimization"
2005 - Michael Negley - "A Java Applet that Uses Optimal Expectation to Play Yahtzee"
2005 - Linda Marie Huynh - "Checkers with Trappy Minimax"
2005 - Ahmed Reda - "A Trappy Minimax Algorithm"
2005 - Michael Olsen Darter - "Vehicle Steering Control Using Modular Artificial Neural Networks"
2004 - Hoa Vin Quach - "User Authentication Using Keystroke Analysis and Neural Network"
2003 - Zach Matley - "Evolving Static Direction Maps for Fast Pathfinding"
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