University of Prince Edward Island, Canada
👨🎓Professional Profile
Scopus Profile
👩🔬Summary
Muhammad Hassan is a dedicated agricultural researcher and M.Sc. student in Sustainable Design Engineering at the University of Prince Edward Island (UPEI), Canada. With over five years of experience in sustainable crop production, agronomy, and precision agriculture, his expertise spans across Canada and Pakistan. His research focuses on greenhouse gas (GHG) emissions prediction, biofertilizers, precision irrigation systems, and digital agriculture technologies, particularly in potato crop research. Hassan combines advanced machine learning with field data to support sustainable agricultural practices and environmental efficiency.
👨🎓 Education
Muhammad Hassan is currently pursuing a Master of Science in Sustainable Design Engineering at the University of Prince Edward Island (UPEI), Canada (Sep 2022 – Dec 2024). He completed his Bachelor of Science in Agricultural Engineering at the University of Agriculture, Faisalabad, Pakistan, in 2017. His academic journey has equipped him with a strong foundation in both agricultural engineering and sustainable practices.
💼 Professional Experience
Muhammad has extensive experience in agricultural research and practical field applications. As a Research Intern in the MITACS Research Accelerate Program (Apr 2023 – Mar 2024), he explored the potential of sugar kelp as an environmentally friendly biofertilizer for sustainable potato production. He also worked with a multidisciplinary research team at UPEI (Apr 2023 – Oct 2024) where he conducted extensive field data collection across large areas in Atlantic Canada, focusing on greenhouse gas (GHG) emission monitoring. Previously, as a Field Expert with CABI in Pakistan (May 2020 – Aug 2022), he enhanced technology-based agriculture and improved productivity in rural Punjab. His earlier research included projects on precision irrigation systems and unmanned aerial agro-chemical spraying systems in collaboration with the University of Agriculture, Faisalabad, Pakistan.
Muhammad Hassan has contributed significantly to agricultural research with several academic publications. In 2024, he co-authored the paper titled, Prediction of Carbon Dioxide Emissions from Atlantic Canadian Potato Fields using Advanced Hybridized Machine Learning Algorithms, published in Smart Agricultural Technology. This research focuses on using advanced machine learning models to predict carbon dioxide emissions from potato fields in Atlantic Canada, aiming to optimize sustainable agricultural practices. Another key publication by Hassan, also in 2024, is Monitoring of Greenhouse Gas Emission Drivers in Atlantic Canadian Potato Production: A Robust Explainable Intelligent Glass-Box, which appeared in Results in Engineering. This work explores the factors driving greenhouse gas emissions in potato production and introduces an innovative, explainable model for better understanding and mitigating their impact.
💻 Technical Skills
Muhammad is skilled in a variety of software and tools relevant to his research. He is proficient in Microsoft Applications, Minitab Statistical Software, ArcGIS, R Programming, WEKA ML Software, and Edraw Max. He has hands-on experience with precision agriculture tools like the LICOR Soil Gas Flux System and climate data analytics tools.
🎓 Teaching & Mentoring Experience
Muhammad has actively engaged in mentoring roles at UPEI. He supported international students through the UPEI Buddy Program (Aug 2023), helping them adapt to campus life. He also assisted with the UPEI Tax Return Event (Mar 2023), where he helped students file their tax returns and supported their financial needs.
🔬 Research Interests
Muhammad’s research interests focus on sustainable agriculture, with an emphasis on greenhouse gas emissions and their reduction in farming practices. He is particularly interested in using advanced machine learning models for predicting emissions like CO2 and N2O from agricultural fields. Additionally, he is exploring the impact of biofertilizers and precision irrigation on improving soil health, crop productivity, and overall environmental sustainability. Muhammad is also keen on advancing digital agriculture technologies to enhance farming efficiency.
📖Top Noted Publications
Prediction of carbon dioxide emissions from Atlantic Canadian potato fields using advanced hybridized machine learning algorithms – Nexus of field data and modelling
Authors: Hassan, M., Khosravi, K., Farooque, A. A., Esau, T. J., Boluwade, A., & Sadiq, R.
Journal: Smart Agricultural Technology
Year: 2024
Monitoring of Greenhouse Gas Emission Drivers in Atlantic Canadian Potato Production: A Robust Explainable Intelligent Glass-Box
Authors: Jamei, M., Hassan, M., Farooque, A. A., Ali, M., Karbasi, M., Randhawa, G., Yaseen, Z. M., & Dwyer, R.
Journal: Results in Engineering
Year: 2024
Nitrous Oxide Prediction Through Machine Learning and Field-Based Experimentation: A Novel Strategy for Data-Driven Insights
Authors: Hassan, M., Khosravi, K., Farooque, A. A., Esau, T. J., Farooque, A. A., Randhawa, G., Garmdareh, S. E. H., Hu, Y., Yaqoob, N., & Jappa, A. T.
Journal: Under-review (no journal mentioned yet)
Year: 2024
Variable rate irrigation through digital agriculture for sustainable water management: A meta-review on current challenges and future directions
Authors: Yaqoob, N., Farooque, A. A., Shah, S. H., Abbas, F., & Hassan, M.
Journal: Under-review (no journal mentioned yet)
Year: 2024
Quantifying and Predicting Carbon Dioxide Emissions Using Advanced Modeling Techniques for Sustainable Potato Production in Prince Edward Island, Canada
Authors: Hassan, M., Farooque, A. A., Khosravi, K., Macdonald, E., & Barrett, R.
Journal: Presented at the 2024 Northeast Potato Technology Forum (Conference)
Year: 2024