Liangding's Portfolio

About Me I'm currently a Computer Science PhD student and a Graduate Research Assitant at the University of Central Florida in Orlando, FL. My advisor is Dr. Carolina Cruz-Neira.

Get to know me!

Hi! It's Liangding Li and I am a current PhD student in Computer Science. My background focuses on applying Machine Learning and Generative AI in Virtual Reality (VR) and Augmented Reality (AR) to enhance immersive experiences and interaction capabilities.

My expertise includes data structures, algorithms, and practical development in Unity 3D, with a strong emphasis on leveraging computer vision, NLP deep learning, and AI-driven object tracking to create intelligent, adaptive VR/AR environments. I am particularly interested in how GenAI can be integrated into real-time simulations, digital twins, and spatial computing, unlocking new possibilities for education, training, and human-computer interaction. Contact me here.

Contact

My Skills

Unity3D

Vuforia

MRTK

Open XR

Web Development

Unreal

JavaScript

React

Unreal

NLP

Computer Vision

Gen AI

PyTorch

Python

Java

SQL

C++

HTML

CSS

Computer Vision

Projects Throughout my studies and work experience, I have had the opportunity to work on a variety of projects. I am excited to share with you some of my most notable projects and showcase my skills and achievements in the field of computer science

Pedestrian and Connected Vehicle(CV) Digital Twin Simulation Framework

A digital Twin framework for pedestrian in-the-loop simulation, leveraging computer vision and AI-driven body tracking in Python to recognize pedestrian movements from a single-camera input. Built a sample architecture with CARLA-SUMO co-simulation and CAVE for immersive visualization.

LIFT - A System to Create Mixed 360° Video and 3D Content for Live Immersive Virtual Field Trip

A system integrating deep learning and object tracking to recognize and track objects within live-streamed 360° video, enhancing interactive virtual field trips. Built a web-based authoring tool to seamlessly merge 3D models with video in real time, using React for the front end and Node.js for back-end operations, enabling educators to create engaging, collaborative experiences.

AR Engine Manuel on Hololens2

An AR training application for HoloLens 2, leveraging computer vision and object tracking to track physical models for spatial positioning. Utilized Unity 3D, MRTK, and Vuforia to enable precise 3D model alignment in an interactive training environment. Presented a live demo at an Air Force event.

Footbridge Structural Health Monitoring

A Structural Health Monitoring(SHM) system in a VR environment that includes the technical and visual information necessary for the engineers to make decisions for a footbridge on the campus of the University of Central Florida.

UCF VR Map for Android and iOS

A Google Cardboard VR map application that showcases the UCF campus by 360 degree photos, for iOS and Android devices using Unity 3D.

Immersive Visualization of Sneeze Simulation Data on Mobile Devices

A mobile virtual reality (VR) interface that helps people visualize droplet dispersion from the target person’s view. We implemented a VR application to visualize and interact with the sneeze simulation data immersively. Our application provides an easy way to communicate the correlation between social distance and infected droplets exposure, which is difficult to achieve in the real world.

Hi, I'm Leo