ㅤRichard Capraruㅤㅤ 孔君龙
PhD Student in Electrical and Electronic Engineering
Nanyang Technological University
About Me
“The ideal engineer is a composite… He is not a scientist, he is not a mathematician, he is not a sociologist or a writer, but he may use the knowledge and techniques of any or all of these disciplines in solving engineering problems.” - N.W. Dougherty
My research is centred around machine learning, computer vision, sensors, robotics and automation. I am always interested in new and exciting projects.
Interests
- Artificial Intelligence
- Signal, Image and Video Processing
- Robotics
Education
PhD in Electrical and Electronic Engineering, 2025
Nanyang Technological University (新加坡南洋理工大学)
BEng in Electrical and Electronic Engineering, 2021
University College London
Research
Autonomous Driving
Increasing Safety
AI systems
Optimizing Accuracy
Adverse Conditions
Enhancing Robustness
.js-id-deep-learning
Gesture Recognition
Radar sensors are able to classify different hand gestures thanks to their ability to sense subtle movements (Micro-Doppler) over short ranges.
Intelligent Vehicle Perception
Autonomous Vehicles rely on various sensors to perceive the environment and make logical decisions for identifying the optimal navigation paths while obeying the transportation rules.
Synthetic Apperture Radar
SAR is a form of radar that is used to create two-dimensional images or 3D reconstructions of objects, such as landscapes.
Skills
Programming
Python, PyTorch, MATLAB,
Computer Vision
Object detection/classification
Signal Processing
Remote Sensing
Education
PhD in Electrical and Electronic Engineering
Research Fellowship/Exchange in Computer Science
BEng in Electrical and Electronic Engineering
Experience
PhD Research Student
Accomplishments
Imperial TUM NTU Global Fellowship
Data for Sustainability
Singapore International Graduate Award
Publications
Teaching
Project Co-Supervision:
- Bachelor of Engineering Final Year Thesis Project: Sensor fusion for object detection under adverse weather - completed
- Design & Innovation Project (DIP): LiDAR Sensing under Rainy Conditions - completed
Course Teaching Assistantship:
- Introduction to Data Science and Artificial Intelligence (IE0005)
Extra Courses
APRU Global Health Leadership In The Real World Course