Yuxiao Dou

I am a year 4 student from Electrical and Electronic Engineering school, NTU. I am proficient in Python and C/C++ and I have previous experience with AI and Machine Learning as well. Besides, I have a strong passion for learning and exploring new knowledge.

Black Sesame Technology, Engineering Intern (AICV) Dec 2021 – May 2022

• Developed a PoC (Proof of Concept) project.
• Explored new paper and new open-source
• Trained CNN Model, screened data and developed data screening tools
• Evaluate algorithms, applications, evaluation tools and delivered evaluation report

• Project 1 “Computer Vision Development”: Successfully applied two software programming (i.e., C++, Python) to design, code and build Pose Estimation Method “CenterNet” which was efficient and precise for smart phone detection of objects and humans. Acquired knowledge, skill and ability with competency and insights into various open-source pose methods (e.g., Alphapose, Openpose) 

• Project 2 “Simulation Tool Development”: Successfully deployed three software programming (i.e., C++, C#, Python) to build and customized simulation tool for extracting Human Keypoints and Depth Data from GTAV. Explored Carla Simulator to extract customized data for Auto-Driving Training

• Increased efficiency of saving pictures from camera by 50% for both projects. 
• Rectified critical GUI application and connection issues for result displaying in both projects.
• Involved actively in Computer Vision designing and parametrization.
• Co-operated with two Product Design Engineers to develop solutions of AI camera.

• Project 1 “Computer Vision Development”: Applied Python Programming with OpenCV to build computer vision application to extract video streaming and photos from CCTV for analyzing and detecting free space in corridor. Utilized the Sort Tracking Algorithm to label and track detected objects accurately.

• Project 2 “AI Camera Application Development”: Applied Python Programming with OpenCV to build computer vision application in ADAM API for integrating with Panasonic’s AI Camera for detecting unattended objects. Satisfied requirements including alerting about detected “unattended” objects and data self-cleaning. Successfully resolved data transferring problem in ADAM API.

• Developed the Autonomous Driving Simulator for facilitating training process. 
• Increased 100% efficiency with simulator thereby achieving cost saving in real testing.

• Project 1 “Autonomous Driving Simulator Development”: Applied Python Programming to build Carla Simulator for autonomous bus testing in Ubuntu System. Used Robot Operating System to manage Carla Simulator (using ros-bridge for data and signal connectivity)

• Project 2 “Way Point Follower Development”: Applied two programming (i.e., C++, Python) to build waypoint follower for accepting given waypoints and automatically navigated to designated location coordinates. Arranged connection with vehicle spawned in Carla Simulator.

Nanyang Technological University (NTU) Aug 2019 – Jun 2023 (Expected)

• Bachelor of Engineering (Electrical and Electronic Engineering)
• MOE Scholarship Recipient
• Honours (Highest Distinction) (Expected); current GPA: 4.63/5.00
• Specialization: Info-Communications Engineering (Computer Engineering)
• Relevant Modules: (1) Artificial Intelligence and Data Mining (2) Computer Vision (3) Intelligent System Design (4) Machine Learning Design and Applications (5) Data Structure and Algorithms (6) From Computational Thinking to Programming [C Programming])