Hieu N
- Research Program Mentor
PhD candidate at University of Connecticut
Expertise
Machine Learning in Finance and Computer Vision, Sentimental Analysis, NLP, Data Science
Bio
I am currently a Ph.D. student in Computer Science at the University of Connecticut. I am doing research related to Machine Learning in Finance. In the past, I have worked with computer vision projects ranging from object detection, recognition to image/video super-resolution; in the past few years, I also worked on NLP-related projects. Before becoming a computer science student, I majored in mathematics and worked on signal processing and steganography projects. As of 2021, I am also a Data Scientist for an Insurance and Financial company focusing on generative AI products. Former student's projects: -A Computer Vision-Based System to Make Street Crossings Safer for the Visually Impaired: Completed and Participated in National Competition. -Real-Time Traffic Sign Detection: A Case Study in a Santa Clara Suburban Neighborhood: Completed and published. -Using Supervised Machine Learning to Predict House Price: Completed and published. -Queerphobia Detection: Completed and published. -Suicidal Detection: Completed and published. -Housing Prediction - Chicago Case Study: Completed and published -Survey of Computer Vision: Completed -Predicting Diabetes: Completed -License Plate Detection: Completed -Object Detection Deployment: Completed -Depression Detection: CompletedProject ideas
Machine Learning in Finance: Forecasting Market Trend
In this project, you will learn fundamental machine learning methods ranging from Decision Trees, Random Forests, Support Vector Machines, to Recurrent Neural Networks to model and forecast financial data. The outcomes of this project are: -Brief literature review on stock forecasting -Fetch and preprocess financial data -Model and fine-tune hyperparameter -Interpret models and results. -Create GitHub repo to summarize your project -Write up research paper
Machine Learning in Computer Vision: Object recognition, Detection and Image super-resolution
In this project, you will survey and learn about the current state-of-the-art machine learning methods in Computer Vision. The outcomes of the project: -Collect and preprocess the customized dataset. -Train customized dataset with the current state-of-the-art methods. -Finetune and modify model to push the results performance. -Create Github Repo to summarize the project. -Write up a research paper.
Analyzing Social Media using NLP
In this project, you will learn how to collect or analyze public social media data, and use NLP method to classify the behaviors and understand the topic in-depth.