Ph.D. Researcher @ UF

Hi, I'm
Dingyuan Huang

Navigating the intersection of Deep Learning and Robotics. Currently pursuing a Ph.D. at the University of Florida, with a focus on bridging mechanical intelligence and advanced computer vision.

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Dingyuan Huang
Current Status Ph.D. in Progress

Core Research

Deep Learning

Advanced CNN architectures for complex object recognition. Leveraging Keras for medical imaging analysis (Brain Tumor Classification).

Robotics

UR5 robotic arm integration with tactile sensing. Developing robust control interfaces using ROS & Python for precision manipulation.

VLA Models

Pioneering research in Vision-Language-Action models, enabling robots to interpret natural language commands into physical actions.

Academic Journey

UF

University of Florida

01/2026 - Present

IN PROGRESS

Ph.D. in Civil and Coastal Engineering

MS in Computer Science (Concurrent)

University of Florida

08/2024 - 12/2025

MS in Electrical and Computer Engineering

Completed

Central South University

09/2019 - 06/2023

BE in Mechanical Manufacture and Automation

Research & Experience

Highlighting key contributions in robotics and AI.

Python ROS PyTorch

Research Assistant @ DreamX Lab

UF Herbert Wertheim College | 04/2025 - Present

  • Built a mobile integrated robotic workstation based on a UR5 robotic arm, enabling modular automation.
  • Developed Python/ROS control interfaces for motion planning, object grasping, and teleoperation.
  • Integrated Robotiq 2F-85 gripper and tactile/force sensors for real-time feedback and dataset collection.

Team Leader @ Object Recognition

Univ. of Oxford (Remote) | 02/2023 - 05/2023

Led a team in garbage recognition tasks. Personally trained a CNN with Keras for brain tumor classification (Accuracy improved). Authored paper adopted by CONF-CDS 2023.

Deep Learning Paper Published

Intern @ Guoxuan New Energy

Hefei, China | 03/2024 - 05/2024

Optimized BMS control board circuits using AutoCAD. Modeled battery performance under various loads using MATLAB to optimize control strategies.

BMS MATLAB