Scholar Excellence in Research

The mission of the computer science director of undergraduate studies is to engage students in the research process and facilitate the discovery of new knowledge through collaboration.

The Scholar Excellence in Research program mission is to:

  • Provide peer support for undergraduates seeking a research career
  • Organize and promote the bi-annual showcase of undergraduate scholars.
  • Hold colloquia for undergraduates currently involved in research and inquiry
  • Educate undergraduates about available research-related academic resources

Scholar Excellence in Reasearch Fall 2022:

Brain MRI Images Classification Method: Applying CNN

Classifying Sentinel-2 Satellite Images Based on Tree Coverage

Felon prediction with CNN variants

Recommending Movie Systems

Using LSTM(s) to Accurately Predict Stock Market Prices

Prediction of Patient Survival using Supervised Machine Learning

Parkinson’s Disease

Stellar Classification with Convolutional Neural Network

A Comparison of Machine Learning Methods for Water Quality Prediction

Detecting and Classifying Alzheimer’s Disease From MRI Scans using Convolutional Neural Networks

Brain Stroke Variable

Using Convolutional Neural Networks (CNN) to Detect Invasive Ductal Carcinoma (IDC)

Classifying Text Messages as Spam using Convolutional Neural Networks

Pneumonia Detection Using Convolutional Neural Network

Classification of Melanoma via Machine Learning Techniques

Detection of Lung Cancer Using Convolutional Neural Networks

Identifying Fruits and Vegetables Using CNN and MobilenetV2

Applying Deep Learning Models on Social Media Sentiment Data in order to Improve Airline Customer Experience

Using Recurrent Neural Networks to Predict Air Quality 

Data Normalization, Deep Learning, and Cancer Diagnosis

Scholar Excellence in Reasearch Fall 2023:

Automating Well Log Correlation with Soft Attention Convolutional Neural Networks

Retinal Disease Detection Using Convolutional Neural Networks

A Comparative Assessment of CNN and Machine Learning Models on MRI Brain Tumor Images

Heart Disease Prediction Using Machine Learning

Brain Tumor Classification in MRI with Deep Learning

Binary Classification using Machine Learning Models