不良研究所

Degrees

PhD /University of Georgia
PhD /Beijing Jiaotong University
M.S. /Beijing Jiaotong University
B.S. /Xi鈥檃n University of Science and Technology

Short Bio

Dr. Shangpeng Sun is Assistant Professor in the Department of Bioresource Engineering at the Macdonald Campus of 不良研究所. He obtained his second Ph.D. from the University of Georgia (USA) and the first Ph.D. from Beijing Jiaotong University (China), following undergraduate and graduate studies at Xi鈥檃n University of Science and Technology (China) and Beijing Jiaotong University. He performed postdoctoral research at the University of Georgia in 2020 before joining 不良研究所.

Professional Affiliations

• ASABE/CSBE (American Society of Agricultural and Biological Engineers)
• ITSC-312 Machine Vision, P-127 Robotics Studnet Design, ASABE
• Review Editor, Frontiers in Plant Science
• Guest Editor, Remote Sensing

Research Interests

Dr. Shangpeng Sun鈥檚 main research interests are to develop and adopt innovative sensing technologies and computational methodology for solving challenges in next-generation smart agriculture, aiming to improve the production of high-quality food in the face of the rapidly growing human population and global environmental change. For example, he develops ground/aerial remote sensing platforms to gather crop data and designs data mining algorithms using artificial intelligence, 2D/3D computer vision, and statistical theory to quantify and predict plant growth and development.

Lab Website

Current Research Projects

High-throughput plant phenotyping: High-throughput plant phenotyping remains a bottleneck for crop breeding and functional genomics studies. Dr. Sun鈥檚 research aims to develop computational methods using 2D/3D computer vision and machine/deep learning for a quantitative description of plant phenotypic traits.

Crop growth and development monitoring: Dr. Sun develops unmanned ground/aerial vehicle platforms integrating sensors such as RGB, thermal, and multispectral cameras to monitor crops periodically, and build mathematical models for quantitative evaluation of the plant growth and development.

3D point cloud reconstruction and segmentation : Dr. Sun develops 3D remote sensing systems to reconstruct object 3D point clouds using LiDAR, ToF cameras, and stereo cameras and studies semantic/instance segmentation and object tracking in point clouds.

Courses

Publications

I am looking for highly motivated MS/PhD students to join my lab, please send your CV to shangpeng.sun [at] mcgill.ca.if you are interested in my research. Also, for short-term visit and research collaboration on the related topics, please also send your correspondence to my email.