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agent-chase

A game where one player tries to stop another from reaching the goals. This is meant to be a project demonstrating a genetic algorithm that succeeds for both players.

auditoryunveil-decodingemotionsinspeech

Uses audio analysis along with a Convolutional Neural Network model to detect emotions in speech.

blockchain-based-federated-learning-optimization

cardiothoracicdiagnosispublicrepository

carpusfracturediagnosticsyolov7-public

Diagnosing wrist fractures requires specialized training. We will use leading computer vision algorithms for automated fracture detection.

cnn-music-classification

coding-challenge-2022-fall

Coding challenge for applications to ACM Research's Fall 2022 semester.

coding-challenge-2023-spring

Coding challenge for applications to ACM Research's Spring 2023 semester.

coding-challenge-f20

Coding challenge for Fall 2020 cohort

coding-challenge-f21

Coding challenge for the Fall 2021 cohort

coding-challenge-s21

Coding challenge for Spring 2021 cohort

coding-challenge-s22

conceal-and-reveal

Exploring Image Steganography and Steganalysis in a semester-long student led and professor advised research project in ACM Research.

covid-genetic-analysis

ACM Research 2021 | Application of Clustering Methods for Genetic Analysis of SARS-CoV-2

deep-learning-for-brain-disorders

While deep learning for brain disorder diagnosis has become pretty advanced over the past few years, many studies have only focused on the diagnosis of one disorder. There are countless studies showing how effective deep learning is to detect Alzheimer’s, or schizophrenia, or brain tumors, but not any that try to detect all three. In this project, participants will use deep learning to classify 3-4 brain disorders, such as Alzheimer's and schizophrenia, using MRI brain scans, by creating a working probability model.

enhancing-cancer-detection-through-natural-language-processing

examining-social-media

ACM Research Fall 2021 | Survey the large-scale effect of modern-day social media and how its growing popularity and use has affected “mob mentality,” also known as crowd theory, and analyze the role of websites such as Twitter in influencing recent financial and economic trends.

exoplanet-atmosphere-analysis-with-ml

explainable-artificial-intelligence

“Explainable AI” (XAI) is a hot topic in the machine learning research space, and for good reason: it allows researchers to get a glimpse into the once black-box algorithms that increasingly govern our digital lives. XAI is about understanding the predictions and reasoning that AI systems use.

exploring-decentralized-applications-on-the-high-performance-solana-blockchain

exploring-interactive-ai-virtual-streamers-in-2d-and-vr-environments

fall-2023-research-projects

finding-security-vulnerabilities

You will learn the basics of cybersecurity penetration testing and put your hacking skills to the test: our team will work together to find security vulnerabilities in a pre-existing, real-world, open-source software project. The ultimate goal is to be able to demonstrate a significant vulnerability and submit a pull request to patch it.

forensicsight

fraudulent-website-detection

ACM Research Fall 2021 | Develop multiple machine learning models to determine which approach would provide the most accurate fraud classifications.

hatedeception_public