Assistant Professor
T: 514-398-8756 | shangpeng.sun [at] mcgill.ca (Email) | Website | Macdonald-Stewart Building, MS1-100
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Degrees
PhD /University of Georgia
PhD /Beijing Jiaotong University
M.S. /Beijing Jiaotong University
B.S. /Xi’an University of Science and Technology
Short Bio
Dr. Shangpeng Sun is Assistant Professor in the Department of Bioresource Engineering at the Macdonald Campus of McGill University. 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’an University of Science and Technology (China) and Beijing Jiaotong University. He performed postdoctoral research at the University of Georgia in 2020 before joining McGill.
Professional Affiliations
- ASABE/CSBE (American Society of Agricultural and Biological Engineers)
- ITSC-312 Machine Vision, P-127 Robotics Studnet Design, ASABE
- Centre SEVE
- Review Editor, Frontiers in Plant Science
- Guest Editor, Remote Sensing
Research Interests
Dr. Shangpeng Sun’s 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
https://shangpenglab.github.io
Current Research Projects
High-throughput plant phenotyping: High-throughput plant phenotyping remains a bottleneck for crop breeding and functional genomics studies. Dr. Sun’s 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
BREE 312. Electric Circuits and Machines.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 3
Offered by: Bioresource Engineering (Faculty of Agric Environ Sci)
Terms Offered: Fall 2025
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Fall 2025 in Visual Schedule Builder.
Description
General circuit laws and DC circuits; electromagnetic circuits; inductance and
capacitance, natural and forced response of circuits; analysis of single phase and three phase networks; transformers, AC and DC motors/generators.
- Restriction: Not open to students who have taken ABEN 312.
- Three lectures and one 2-hour lab or problems per week.
- Prerequisite: AEMA 305.
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BREE 501. Simulation and Modelling.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 3
Offered by: Bioresource Engineering (Faculty of Agric Environ Sci)
Terms Offered: Winter 2026
View offerings for
Winter 2026 in Visual Schedule Builder.
Description
Philosophical and mathematical principles of computational modelling and simulation: Concepts of verification, parameterization, validation, and sensitivity analysis. Introduction to basic concepts of finite element modelling: Direct stiffness and weighted residual methods. Introduction to software packages for general systems and multiphysics, finite-element-based modeling. Emphasis on biosystems engineering applications, e.g., ecosystem dynamics, material properties, solid and structural mechanics, heat transfer, fluid dynamics, electrical and machinery systems.
- Prerequisite: BREE 252; AEMA 305; or permission of instructor.
- Restrictions: U3 students and above
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BREE 504. Instrumentation and Control.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 3
Offered by: Bioresource Engineering (Faculty of Agric Environ Sci)
Terms Offered: Fall 2025
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Fall 2025 in Visual Schedule Builder.
Description
An overview of instrumentation and control systems used in bioresource engineering. Hands-on development of data acquisition systems and learning strategies to process and interpret the signal obtained constitute the majority of the course.
- Restriction: Not open to students who have taken ABEN 504.
- 3 lecture hours and one 2-hour lab per week during Fall term every year
- Prerequisites: BREE 252 and BREE 312 or equivalents.
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Publications
View a list of current 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.