About

Minh Do is a highly skilled and experienced researcher and Master of Computer Science at Nanyang Technological University (NTU). With a focus on Computer Vision, Deep Learning, and Embedded Systems for Intelligent Transportation Systems in Smart Cities, Minh has a deep understanding of the latest AI and machine learning technologies and how they can be applied to real-world problems. As a researcher at the Hardware and Embedded System Lab (HESL), School of Computer Science and Engineering (SCSE), Minh has gained extensive experience in developing real-time applications for intelligent transportation systems based on computer vision and deep learning techniques. He has worked on multi-object detection, classification, and multi-object tracking on low-cost and low-power embedded computing platforms, including computer boards such as Odroid N2/XU4, Raspberry Pi, Jetson TX1, surveillance cameras, and sensors. Minh's programming skills include C++ and Python, and he has worked with frameworks such as Tensorflow, Pytorch, and OpenCV. Minh's academic achievements include a Bachelor of Engineering (B.Eng.) in Electrical, Electronic and Communications Engineering Technology/Technician from Da Nang University of Science and Technology. He is currently pursuing a Master by Research in Computer Science at NTU, where he has taken courses in Applied Artificial Intelligence, Deep Learning for Natural Language Processing, and Special Advanced Topic - Digital Image Processing, achieving excellent grades in all of them. Minh's technical skills include research, computer vision, deep learning, AI, NLP, image processing, Python, OpenCV, Tensorflow, Pytorch, Keras, object detection, ML, neural networks, and object detection. With over seven years of relevant experience, Minh is a highly capable and motivated researcher with a proven track record of success.