Spring 2025
Our projects cover a wide range of topics in music, audio, text, sports, sales, health, and behavior analysis. Students did great in their presentations!
Guitar Technique Classification, by Jiayin Yuan, Xiaohe Tian, and Ziyang Ou. <pdf> <slides>
Automatic Audio Transcription, by Ritchie Faran, Yongzhao Wu, and Sebastian Xu. <pdf> <slides>
Noise Tolerant Music Genre Classification, by Kareem Hassan. <pdf> <slides>
Sentiment Analysis of Online Reviews, by Mehmet Ozyurt and Ilan Pinco. <pdf> <slides>
Review Sentiment Analysis, by Matthew Lucht. <pdf> <slides>
Noise Robust Predictive Coding Network, by Rong Zeng and Mohammad Shakil. <pdf> <slides>
NBA Injury Analysis, by Max McClung. <pdf> <slides>
Identifying Material Property, by Hannan Wang and JD Qian. <pdf> <slides>
SNS Brownbook, by Saumili Chakravarty, Nyasha Gwaza, and Sufi Hossain. <pdf> <slides>
Image Repair Using DCGANs, by Martin Trpceski, Sean Gleason. <pdf> <slides>
CT Lung Nodule Detection using CNN, by Arvin Bahreini, Sarah Metry, and Jewelianna Langston. <pdf> <slides>
Comparing CNNs for Smile Detection, by Tabib Wasit Rahman. <pdf> <slides>
Spring 2024
Our projects cover a wide range of topics in finance, transportation, sports, energy, education and audio. Students did great in their presentations!
Basketball Player Performance Prediction, by Kevin Fobare, Mukhtar Suleman, Ryan Pappania, and Rodney Boone. <pdf> <slides>
Release Clause of Soccer Players in FC 24 Prediction: Machine Learning Models and Exploration, by Yicheng Shi, Haotian Yang, and Guangzhou Cai. <pdf> <slides>
Traffic Flow Prediction Using Spatial-Temporal Graph Neural Networks, by Chuan Liu, Qingyuan Hou, and Ruibing Song. <pdf> <slides>
Stock Market Predictor Using Recurrent Neural Network Machine Learning Model, by Omar Khalil, William Knoff, Hesham Elshafey, and Ian Curd. <pdf> <slides>
Fault Detection and Classification in Three-Phase Electrical Power Transmission Lines, by Ziyang Yuan, Hai Xi, Yanbo Peng, and Wentao Jiang. <pdf> <slides>
Movie Poster Analysis, by Cole Balacek, Skylar Bi, and Xingjian Du. <pdf> <slides>
Ink to Latex: A Transformer Based Math Expression Language Model, by Zirui Li, Jianxiong Li, Youjia Qian, and Haozhuo Liu. <pdf> <slides>
Mice Sleep Staging from EEG and EMG Signals, by Fazla Rabbi Mashrur , Yixuan Luo , Paul Berggren, and Yanlong Zhao. <pdf> <slides>
Facial Recognition for Student Engagement, by Jiachun Guo, Jianan Wu, Yifeng Tan and Sasanka Munasinghe. <pdf> <slides>
English-Language Accent Classification, by McCormack Chew, Sydney Haupt, and Ahmet Yusuf Salim. pdf> <slides>
Key Detection for Pop Music Supporting Modulation Point Locating Based on Transformer, by Boning Wang, Jiajun Wu, Yichuan Wang, and Jiajun Chen. <pdf> <slides>
Spring 2023
We had a set of very good oral presentations of final projects. These projects covered a wide range of topics including finance, security, transportation, arts, and physics.
Credit Card Fraud Detection, by Colin Blake, Kevin Wang, and Eric Wenner. <pdf> <slides>
Detection of Pools in Satellite Imagery using Yolov8 and Roboflow, by Elliot Weiner and Ryan Roos. <pdf> <slides>
Using Machine Learning to Assist Hardware Attacks, by Amelia Kwak, Soner Seckiner, and Jacob Sepinuck. <pdf> <slides>
SG-Net: Real-Time Multi-Task Autonomous Vehicle Vision, by Enis Zuo, Haixi Zhang, and Yufeng Yang. <pdf> <slides>
Short-Term Traffic Flow Prediction using KNN and LSTM, by Lydia King, Yifei Jin, and Oswald Garcia. <pdf> <slides>
Automatic Number Plate Recognition, by Manyang Piyin, Peter Han, Samuel Lee. <pdf> <slides>
Pedestrian Crossing Time Prediction and Risk Identification, by Zhenyu Pan, Zhuo Liu, and Yongchao Liu. <pdf>
Beatbox to Analog Drum Translation Using a Convolutional Neural Network, by Joe Bumpus, Noah Miller, and Julia Weinstock. <pdf> <slides>
Impressionist Painting Classifier, by Xiaoshan Liu and Danielle Williams. <pdf> <slides>
Data Augmentation of Heat-Like Equations using Physics-Informed Neural Network, by Bin Hoang and Migara Jayasingha. <pdf> <slides>