Hieu N
- Research Program Mentor
PhD at University of Connecticut
Expertise
Machine Learning in Finance and Computer Vision, Sentimental Analysis, NLP, Data Science
Bio
I am a Ph.D. in Computer Science (University of Connecticut) and a Staff Data Scientist specializing in the intersection of Machine Learning and Finance. With a foundational background in Mathematics, my expertise spans the evolution of AI—from early work in signal processing and steganography to advanced Computer Vision (object detection, super-resolution) and Natural Language Processing. Currently, I lead technical initiatives in the insurance and financial sectors, specifically focusing on the development and deployment of Generative AI products. As a mentor, I bridge the gap between rigorous academic research and high-impact industrial applications. Research & Project Expertise My mentorship and research history cover a broad spectrum of AI disciplines, including: • Computer Vision: Developing safety systems for the visually impaired, real-time traffic sign recognition, and automated license plate detection. • NLP & Social Impact: Detecting sensitive indicators in text, such as queerphobia, suicidal ideation, and clinical depression. • Predictive Modeling: Deep experience in econometric and housing market forecasting using supervised learning, alongside healthcare analytics like diabetes prediction. • System Deployment: Expertise in taking models from a "survey" or research phase to full-scale deployment. Select Mentored Projects & Publications • A Computer Vision-Based System for Visually Impaired Pedestrians (National Competition Participant & Published Paper) • Real-Time Traffic Sign Detection: Suburban Case Study (Published) • Queerphobia and Mental Health Detection Series (Published) • Multi-City Housing Price Prediction Models (Published)Project 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.