Mohammad Nadimi
Tagline:Assistant Professor, Department of Biosystems Engineering, University of Manitoba
Winnipeg, MB, Canada
Welcome
Welcome to Dr. Nadimi’s group websites
Dr. Mohammad Nadimi is an Assistant Professor of Biosystems Engineering at the University of Manitoba, Canada, renowned for his contributions to the storage, handling, and quality monitoring of cereal grains, oilseeds, leguminous crops, and their derivatives.
Dr. Nadimi’s specialization includes integrating cutting-edge electronic technologies with advanced data analysis methods to improve agricultural practices. His expertise is robust in imaging, spectroscopy, laser systems, and smart sensors, which he combines with machine learning and artificial intelligence to enhance the monitoring of grain quality post-harvest and reduce post-harvest losses.
Dr. Nadimi’s innovative approach extends to the development of both hardware and software solutions, which designers of grain quality monitoring and assessment instruments frequently reference. An active and respected member of the academic community, Dr. Nadimi has authored 42 peer-reviewed articles and presented 22 papers at various international conferences. Moreover, he serves as a Senior Editor for the Elsevier journal ‘Measurement: Food’, where he collaborates with the editorial team to push the boundaries of knowledge in innovative measurement techniques for assessing food quality and safety.
Research Interests
- Smart post-harvest crop quality monitoring
- Data Analytics in crop storage
- Microstructural analysis of agri-food products
- Laser-based systems in agri-food domain
Projects
Machine Vision for Crop Quality Assessment
date: 2021Organization:University of Manitoba
Description:In this project, we utilized state-of-the-art machine vision technologies to enhance crop quality assessment within the grain industry. Our approach involved the development of systems that employ advanced color imaging, spectroscopy, hyperspectral imaging, X-ray imaging, and X-ray Micro-CT technologies. These systems are designed to continuously monitor crop quality throughout the production, storage, and handling stages, thereby improving the grain industry’s capacity for quality control.
This work has resulted in the publication of over 10 papers, showcasing significant advancements in grain quality monitoring through innovative technologies. The details of these publications can be found in the Publication section.
Data Mining in the Agri-Food Industry
date: 2020Organization:University of Manitoba
Description:In this digital transformation era, managing the massive volume of data generated daily in the agri-food industry is a formidable challenge. Using artificial intelligence and deep learning techniques, we have conducted comprehensive data mining in the agri-food industry, in various domains, including but not limited to drying optimization, facilitating crop classification using augmentation techniques, important feature selection from large datasets, and honing the selection of gene signatures to improve crop tolerance against various stressors.
This work has resulted in the publication of over 10 papers, showcasing significant advancements in grain quality monitoring through innovative technologies. The details of these publications can be found in the Publication section.Microstructural Analysis of Raw and Processed Agri-Foods
date: 2020Organization:University of Manitoba
Description:Understanding the microstructure of agri-food products is crucial for defect detection, nutritional quality optimization, and processing refinement. Using X-ray imaging techniques alongside microscopy methods such as Scanning Electron Microscopy (SEM), we have contributed to developing tools for assessing microstructures of various agri-food products, including oilseeds, snacks, and flours, deepening insights into storage and processing effects.
This work has resulted in the publication of over 10 papers, showcasing significant advancements in grain quality monitoring through innovative technologies. The details of these publications can be found in the Publication section.
Publications
For a comprehensive list of publications, please visit Dr. Nadimi's Google Scholar profile linked below:
Join Our Research Team
Dr. Mohammad Nadimi is actively seeking motivated individuals to join our dynamic research group at the Department of Biosystems Engineering, University of Manitoba. We are looking for candidates who are passionate about agricultural engineering and eager to contribute to innovative research.
Opportunities Available:
Graduate Students: If you have strong self-motivation and a deep interest in agricultural engineering, we encourage you to contact Dr. Nadimi to discuss potential graduate studies in our lab.
Undergraduate Research: Dr. Nadimi is enthusiastic about supervising undergraduates who are eager to gain hands-on research experience and contribute to our projects.
Visiting Scholars: Our lab welcomes visiting scholars looking to collaborate and contribute their expertise.
Industry Collaborations: We actively seek partnerships with industry stakeholders interested in the practical applications of our research.
National and International Partnerships: We are open to forming both national and international collaborations that enhance knowledge exchange and push the boundaries of research in agricultural engineering.
Let's connect and explore how you can be part of our exciting research initiatives!
Grant and Funding
AS ASSISTANT PROFESSOR
Research Start-up Funds: Dr. Mohammad Nadimi received $125k in research start-up funding from the University of Manitoba, which facilitated the initiation of his innovative research projects in Biosystems Engineering.
CONTRIBUTED AS POSTDOC
Research Funding: Dr. Nadimi has played a pivotal role in securing significant research funding during his tenure as a postdoctoral researcher. Notably, he contributed to the development of a successful $1.3 million NSERC Alliance-Mitacs Accelerate grant application.
Student Funding: Throughout his postdoctoral tenure, Dr. Nadimi has actively supported the advancement of student research capabilities. He has assisted in drafting successful HQP training funding proposals, securing a total of $372k.
HQP Training
During his postdoctoral tenure, Dr. Mohammad Nadimi has mentored 11 highly qualified personnel (HQP), including four summer undergraduate students, three Master's students, two PhD students, and two junior postdoctoral fellows.