Phuong Thu Ky Doan

I'm Computer Scientist

About

Hello! I’m Phuong Thu Ky Doan, a second-year Computer Science student at the University of Lincoln, passionate about Computer Vision and its applications in Robotics. I am aspiring to pursue a PhD in this field. My recent work includes leading research at the Lincoln Centre for Autonomous Systems, where I improved 3D point cloud segmentation and optimized DBSCAN with OpenMP and CUDA. I am also leading a team in developing a robot waiter project that integrates gesture recognition, navigation, and speech interaction, aiming for real-world testing with the TIAGo robot.

Computer Science & Robotics.

I have a strong passion for Computer Vision in Robotics and a goal of pursuing a PhD in the field.

  • Birthday: 23 Oct 2004
  • Website: kyptdoan.github.io
  • Phone: +44 783 424 4346
  • City: Lincoln, United Kingdom
  • Age: 20
  • Degree: Computer Science
  • Email: ky.phuongthu.doan@gmail.com

I am currently looking for research internships for the summer of 2025.

Technical Skills

PYTHON ADVANCED
C++ INTERMEDIATE
C# INTERMEDIATE
SQL BASIC
ROS BASIC
GAZEBO BASIC
LINUX INTERMEDIATE

Resume

This summary highlights some of my key accomplishments, skills, and experiences.

Sumary

Phuong Thu Ky Doan

A second-year Computer Science student, with a strong interest in Computer Vision and Robotics.

  • Lincoln, United Kingdom
  • +44 783 424 4346
  • ky.phuongthu.doan@gmail.com

Education

Bachelor of Science in Computer Science

2023 - 2026

University of Lincoln, United Kingdom

Grade: First Class (88/100)

High School

2019 - 2022

VNU-HCM High School for the Gifted

GPA: 9.2/10.0

Professional Experience

Research Intern

2024 - Present

Lincoln Centre for Autonomous System (L-CAS), Lincoln, United Kingdom

  • Conducted research on automated segmentation methods for 3D point cloud data of strawberry plants, focusing on improving accuracy and precision on large high-dimensional datasets.
  • Developed tools for data visualisation enabling both semantic and instance segmentation modes using Open3D and Numpy (Python).
  • Improved the performance of unsupervised machine learning techniques (K-Means and DBSCAN) by 15% through the use of different color spaces and combining color and density-based methods.
  • Currently developing a parallel DBSCAN implementation to optimise time complexity in large high-dimensional datasets.

Academic Representative

2023 - 2024

University of Lincoln, United Kingdom

  • Led a group of 11 students from diverse cultural and academic background to gather feedback about challenges and concerns among first-year Computer Science students.
  • Analysed collected feedback to identify key academic concerns and raised to the department.
  • Ensured open communication between students and the department by facilitating regular meetings.

Technical Projects

I find fulfillment in both solo and team-based projects, using personal endeavors as a way to expand my expertise and learn new skills. Each project I undertake offers valuable opportunities to challenge myself and push the boundaries of what I can achieve. Below, I've highlighted a selection of projects that showcase my dedication, creativity, and growth.

  • All
  • Software
  • Research

Robot Waiter

Developing a robot waiter using the real TIAGo robot

3D Point Cloud Segmentation

Developing segmentation algorithms on 3D point cloud data

ConnectX Battlefield

A more interesting version of Connect4

Dice Game

A 2-player dice game

Hobbies

Traveling opens my eyes to the world’s diversity and beauty. Exploring new places, experiencing different cultures, and connecting with others inspire me. I thrive on adventure and never want to stop discovering the unknown.

Hobby 1
Hobby 2
Hobby 3
Hobby 4
Hobby 5
Hobby 6
Hobby 7
Hobby 9