Research Interests
My research interest is deeply rooted in the advancement of computer vision and its integration with machine learning and deep learning to revolutionize the way we understand and reconstruct the world digitally. The pursuit of highly accurate 3D scene reconstruction, underpinned by pattern recognition and semantic segmentation, stands at the forefront of my scholarly endeavors. I am particularly captivated by the challenge of creating systems that not only perceive but also comprehend our environment in a multi-dimensional context. The potential of AI to transform vast arrays of visual data into detailed, actionable insights promises groundbreaking applications in fields ranging from autonomous navigation to urban planning. With a focus on sophisticated algorithms like NeRF and DeepLabv3, my aim is to push the boundaries of digital twin technology, ensuring that semantic understanding enhances every virtual representation. This passion for blending visual data with semantic information drives my commitment to contributing to this vibrant and vital field of research.
Education
- M.Eng. in Civil Engineering, University of Toronto, September 2019 - November 2020
- B.Sc. in Environmental Science, University of Waterloo, June 2017 - April 2019
- B.Eng. in Environmental Engineering, Dalian University of Technology, September 2015 - June 2017