ACM Research
Providing a structured research environment by guiding undergraduate students through semester-long Computer Science research projects.
UT Dallas (Richardson, TX)
Pinned Repositories
Blockchain-Based-Federated-Learning-Optimization
Coding-Challenge-S22
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.
exoplanet-atmosphere-analysis-with-ML
online-portfolio-selection
ACM Research 2021 | Implementing and benchmarking the performance of various online portfolio selection algorithms on real-world trading scenarios.
targeted-password-guesses
We refined a GPT-3 model on Wattpad user account data to generate targeted password guesses automatically.
temporal-lidar
ACM Research 2021 | Improving the Utility of Temporal LIDAR Data in Semantic Segmentation
text-mining-extraction
ACM Research Spring 2021 | Explore a variety of data and text mining methodologies to develop a tool that extracts information from historical documents, generates scores based on the data, and helps researchers approach conclusions about the documents.
thephishingproject
ACM Research 2020 | An email parser used to identify potential phishing attacks targeted towards college students and administration.
vr-viewport-analysis
ACM Research 2020 | Using viewport prediction based on features users are more likely to view to reduce data bandwidth.
ACM Research's Repositories
ACM-Research/online-portfolio-selection
ACM Research 2021 | Implementing and benchmarking the performance of various online portfolio selection algorithms on real-world trading scenarios.
ACM-Research/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.
ACM-Research/temporal-lidar
ACM Research 2021 | Improving the Utility of Temporal LIDAR Data in Semantic Segmentation
ACM-Research/thephishingproject
ACM Research 2020 | An email parser used to identify potential phishing attacks targeted towards college students and administration.
ACM-Research/vr-viewport-analysis
ACM Research 2020 | Using viewport prediction based on features users are more likely to view to reduce data bandwidth.
ACM-Research/exoplanet-atmosphere-analysis-with-ML
ACM-Research/text-mining-extraction
ACM Research Spring 2021 | Explore a variety of data and text mining methodologies to develop a tool that extracts information from historical documents, generates scores based on the data, and helps researchers approach conclusions about the documents.
ACM-Research/Coding-Challenge-S22
ACM-Research/language-trends-mobile-keyboard
We trained a recurrent neural network model on Tweets from crypto bros, K-pop stans, and other Twitter subgroups.
ACM-Research/music-generation
ACM Research 2021 | Generating Music using LSTM Neural Networks
ACM-Research/cnn-music-classification
ACM-Research/image-classification-cnn
ACM Research 2020 | A convolutional neural network to classify retinal optical coherence tomography scans.
ACM-Research/coding-challenge-2022-fall
Coding challenge for applications to ACM Research's Fall 2022 semester.
ACM-Research/fraudulent-website-detection
ACM Research Fall 2021 | Develop multiple machine learning models to determine which approach would provide the most accurate fraud classifications.
ACM-Research/NLP-Summarizer
ACM Research 2020 | Analyzing text summarization with five different extractive and abstractive models.
ACM-Research/swarm-robotics-algorithm-comparison
Explore algorithms that use swarm robotics concepts to accomplish difficult tasks, implement such algorithms, and compare the speed and accuracy of these algorithms when competing in various tasks like moving across an environment with obstacles and collecting items throughout an environment.
ACM-Research/vr-user-behavior-clustering
Analyze user behavior data within VR videos and categorize users based on their viewing behavior for any VR Video. ACM Research Fall 2021
ACM-Research/Coding-Challenge-F20
Coding challenge for Fall 2020 cohort
ACM-Research/Coding-Challenge-F21
Coding challenge for the Fall 2021 cohort
ACM-Research/Coding-Challenge-S21
Coding challenge for Spring 2021 cohort
ACM-Research/object-detection-thermal-img
ACM-Research/reinforcement-learning-traffic-control
ACM Research 2022 | Reinforcement Learning for Traffic Light Control
ACM-Research/vr-user-behavior-analysis
ACM Research 2021 | Exploring user behavior in virtual reality through heat map visualization and behavior classification.
ACM-Research/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.
ACM-Research/covid-genetic-analysis
ACM Research 2021 | Application of Clustering Methods for Genetic Analysis of SARS-CoV-2
ACM-Research/parametric-design-sustainable-living
ACM-Research/stress-diagnosis-neural-networks