• Name: Huynh Thai Hoa (Huỳnh Thái Hòa)
• Affiliation: Soongsil University / DeltaX
• Email: [email protected]
• Leetcode: huynhthaihoa
• Linkedin: huynhthaihoa

I am a dedicated software research engineer who takes pleasure in delving into the capability of Computer Vision and Artificial Intelligence to address everyday challenges. My goal is to contribute towards creating a better world, particularly in transportation, education, and healthcare, for the well-being of my loved ones. Throughout this lifelong and challenging journey, I eagerly anticipate collaborating with and learning from the amazing people around me.

• Programming languages: C, C++, Python, C#, MATLAB, Java, Javascript.
• Fundamentals: Data Structures & Algorithms, Computer Vision, Deep Learning, Machine Learning.
• Frameworks/Libraries: OpenCV, Tensorflow, Pytorch, Darknet, FFMPEG, DeepStream, ROS, WPF, Qt.
• Software version control: Git, SVN.
• Databases: Microsoft SQL Server, MySQL, SQLite, Postgres.
• Hardware platform: Jetson Nano, Jetson Xavier NX.
• Languages: Vietnamese (Native), English (Professional), Korean (Basic).
• Others: Microsoft Office, LaTEX, JSON, XML, Batch.

• Coordinating the team to develop and maintain smart in-cabin monitoring solutions for the advanced driver-assistance system.
• Collaborating with the team to propose and design solutions for 2D/3D perception problems using cameras (pinhole/fisheye, RGB/IR) with LIDAR/RGB-D supervision.
• Designing, implementing, and maintaining utility software for camera calibration, data collection, annotation, and analysis.

• Participated in Deep Neural Network training pipeline: data labeling, cleaning, and training.
• Developed tools for preprocessing datasets and evaluating inference model consistency.
• Developed new features and improved client programs’ performance and dynamic-link libraries (DLL).
• Developed a video processing system for interesting object detection.
• Researched and proposed solutions for company projects.

• Researched to find solutions for Optical Character Recognition (OCR) problems in detecting and recognizing license plate numbers and container codes.
• Evaluated the performance and consistency of several deep learning frameworks on our custom dataset.
• Deployed inference model on NVIDIA Jetson Nano board

• Researched to find and solve problems in the vehicle localization process based on detecting vehicle taillights using camera images.
• Read and wrote scientific papers related to the project.

• Learned the software development process in practice.
• Supported team to design and develop plugins as required by customers.
• Attended the peer-review process that uses appropriate tools to evaluate code quality.

• GPA: 4.01/4.05
• Thesis: LED Taillight Matching in Nighttime Vehicle Positioning
• Supervisor: Professor Myungsik Yoo

• GPA: 8.6/10
• Thesis: Coronary Arteries Segmentation from Coronary Angiogram
• Supervisor: M.Sc. Thi-Vuong Pham

• Thai-Hoa Huynh, Myungsik Yoo, Taillight Matching and Pairing Algorithm for Stereo-Vision-based Nighttime Vehicle Positioning, Applied Sciences (2020)
• Thai-Hoa Huynh, Myungsik Yoo, Nighttime LED Taillight Detection Method with Optical Camera Communication System, 한국통신학회논문지 (2020)
• Thai-Hoa Huynh, Tuan-Anh Pham, Myungsik Yoo, Detection Algorithm for Overlapping LEDs in Vehicular Visible Light Communication System, IEEE Access (2019)