Dr. Rasool Khodabakhshian | Biological Sciences | Best Researcher Award
Associate Professor from Ferdowsi University of Mashhad, Iran
Dr. Rasool Khodabakhshian is an accomplished Assistant Professor at the Department of Biosystems Engineering, Faculty of Agriculture, Ferdowsi University of Mashhad, Iran. His expertise spans across postharvest technology, precision agriculture, machine vision, and the design of agricultural machinery. With years of academic and industrial experience, Dr. Khodabakhshian has significantly contributed to advancing agricultural engineering through innovative research and practical solutions. He has a strong history of collaboration with international institutions, including his research work at Tsinghua University in China. His research primarily focuses on the nondestructive quality evaluation of agricultural products using advanced imaging technologies such as hyperspectral imaging and Raman spectroscopy. In addition to his academic contributions, Dr. Khodabakhshian has an impressive record of industrial engagement, where he has designed and developed a variety of agricultural machines and precision farming tools. His involvement in the manufacturing sector and his role as a quality assurance manager demonstrate his ability to bridge research with real-world applications. With multiple patents and national recognition, Dr. Khodabakhshian stands out as a dedicated researcher committed to enhancing agricultural productivity and sustainability. His practical innovations and applied research solutions have made a measurable impact on the agricultural sector.
Professional Profile
Education
Dr. Rasool Khodabakhshian’s educational journey has been robust and focused on agricultural machinery and biosystems engineering. He earned his Bachelor of Science degree in Agriculture Machinery Engineering from Shahid Bahonar University of Kerman, Iran, in 2007, where he designed and evaluated a pistachio hulling machine. He continued his studies at Ferdowsi University of Mashhad, obtaining a Master’s degree in Agriculture Machinery Engineering in 2009. His master’s research centered on the mechanical and aerodynamic properties of sunflower seeds to optimize processing techniques. Pursuing advanced studies, he completed his Ph.D. in Biosystem Engineering from Ferdowsi University of Mashhad in 2016, focusing on the nondestructive assessment of pomegranate ripeness and internal defects using VIS-NIR multispectral imaging. During his doctoral studies, he also conducted a research fellowship at Tsinghua University, Beijing, China, in 2015. There, he worked on determining ripeness and internal defects in pears using NIR hyperspectral imaging. His international exposure during this period provided him with valuable cross-border research experience and advanced imaging skills. Dr. Khodabakhshian’s educational background has been consistently aligned with agricultural engineering and has equipped him with both theoretical expertise and practical skills necessary for pioneering research in his field.
Professional Experience
Dr. Rasool Khodabakhshian’s professional experience is a blend of academic teaching, research, and practical industrial roles. Since March 2018, he has served as an Assistant Professor in the Department of Biosystems Engineering at Ferdowsi University of Mashhad, where he actively teaches, supervises research, and leads innovative agricultural engineering projects. His earlier experience includes working as a Quality Assurance Manager at Keyhan Sanat Ghaem Company from 2015 to 2018, where he was responsible for maintaining product standards and ensuring manufacturing efficiency. Between 2011 and 2015, he was the Production Manager at ARA VALVE Company, focusing on the production of industrial valves, which refined his managerial and production control skills. Dr. Khodabakhshian also worked as an engineer at Toos Fadak Company starting in 2008, contributing to the design and development of sprayers, balers, and other agricultural machinery. Earlier in his career, he participated in agricultural machinery testing at Ferdowsi University’s Center for Agricultural Machinery Testing. His diverse professional roles in both academia and industry have enriched his ability to create practical, research-driven solutions and have strengthened his leadership in agricultural machinery design and precision farming technology.
Research Interest
Dr. Rasool Khodabakhshian’s research interests encompass several critical areas in modern agricultural engineering. He is particularly passionate about postharvest technology and the development of advanced techniques for the nondestructive quality evaluation of agricultural products. His work integrates cutting-edge machine vision and spectral imaging technologies to assess internal and external fruit quality without causing damage. Dr. Khodabakhshian is also deeply involved in the design and optimization of farm machinery, aiming to increase efficiency and precision in agricultural practices. His expertise extends to precision farming, where he focuses on developing sensor-based autonomous systems that enhance crop protection and farm management. Additionally, his research includes predictive maintenance strategies and the use of technologies such as RFID in agriculture, contributing to the advancement of smart farming. His commitment to improving postharvest handling and precision agriculture is reflected in his numerous projects that blend mechanical engineering, automation, and agricultural science. His interdisciplinary approach helps in creating innovative solutions that address the practical challenges faced by farmers and the agricultural industry. Dr. Khodabakhshian’s research continues to contribute to increasing productivity, reducing waste, and promoting sustainable agricultural practices.
Research Skills
Dr. Rasool Khodabakhshian possesses a broad set of advanced research skills that align with his multidisciplinary expertise. He is proficient in applying machine vision, multispectral imaging, and hyperspectral imaging techniques for the nondestructive evaluation of agricultural products. His skills in postharvest technology enable him to design systems that ensure quality and reduce losses in agricultural production. Dr. Khodabakhshian is highly experienced in mechanical design and precision farming system development, including sensor-based autonomous machinery and smart spraying technologies. His research capabilities also extend to predictive maintenance, condition monitoring, and the application of RFID technology in agricultural environments. In terms of computational proficiency, he is skilled in programming languages such as C, Pascal, and MATLAB, and he is adept at using simulation and design software, including SOLIDWORKS, AUTOCAD, ANSYS, ABACUS, and SPSS for statistical analysis. Additionally, his experience with finite element methods for mechanical behavior analysis further enhances his research competence. These technical proficiencies support his ability to execute both theoretical studies and practical engineering solutions. Dr. Khodabakhshian’s wide-ranging skills make him a versatile researcher capable of contributing to various areas of biosystems engineering and precision agriculture.
Awards and Honors
Dr. Rasool Khodabakhshian has been the recipient of several prestigious awards and honors throughout his academic and professional career. His innovative contributions to agricultural machinery and postharvest technologies have earned him national patents, including a 2019 patent for an imaging spectrum recorder for agricultural products in the VIS/NIR range and a 2008 patent for a pistachio hulling machine. He was also awarded a patent in 2008 for the design of a surgery table for small domesticated animals. His scientific work has been recognized by the Food Processing & Technology journal, where he was honored as a prestigious author in 2011. Additionally, his research on variable rate technology in agricultural machinery was selected as the superior poster presentation at a precision farming conference in 2009. A notable academic achievement includes securing the first rank in the Iranian Nationwide PhD Entrance Exam for mechanics of agricultural machinery in 2012, outperforming over 1500 participants. These honors reflect Dr. Khodabakhshian’s dedication to applied innovation, his leadership in agricultural research, and his commitment to addressing real-world challenges through practical engineering solutions that benefit both the scientific community and the agricultural industry.
Conclusion
Dr. Rasool Khodabakhshian is an outstanding researcher whose multidisciplinary expertise and practical innovations significantly contribute to the advancement of agricultural engineering. His research focuses on postharvest technology, machine vision, precision farming, and nondestructive evaluation, all of which address critical challenges in modern agriculture. His ability to combine mechanical design, sensor integration, and spectral imaging has led to the development of impactful, patented agricultural solutions. Dr. Khodabakhshian’s work bridges the gap between theoretical research and practical application, making his contributions valuable to both academia and industry. While he has demonstrated strong national influence through patents and awards, expanding his international collaborations and increasing his presence in globally recognized journals could further elevate his scientific impact. His language proficiency and global networking could also be enhanced to fully realize his international potential. Nevertheless, Dr. Khodabakhshian’s research achievements, industrial experience, and commitment to innovation make him an excellent candidate for the Best Researcher Award. His continued efforts are likely to yield further advancements in sustainable and precision agriculture, making a lasting impact on food quality, productivity, and agricultural technology worldwide.
Publications Top Notes
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Non-destructive evaluation of maturity and quality parameters of pomegranate fruit by visible/near infrared spectroscopy
Authors: R. Khodabakhshian, B. Emadi, M. Khojastehpour, M. R. Golzarian, et al.
Year: 2017
Citations: 64 -
Development of a multispectral imaging system for online quality assessment of pomegranate fruit
Authors: R. Khodabakhshian, B. Emadi, M. Khojastehpour, M. R. Golzarian, et al.
Year: 2017
Citations: 54 -
Maintenance management of tractors and agricultural machinery: Preventive maintenance systems
Authors: R. Khodabakhshian
Year: 2013
Citations: 48 -
Application of Vis/SNIR hyperspectral imaging in ripeness classification of pear
Authors: R. Khodabakhshian, B. Emadi
Year: 2017
Citations: 46 -
Determining quality and maturity of pomegranates using multispectral imaging
Authors: R. Khodabakhshian, B. Emadi, M. Khojastehpour, M. R. Golzarian
Year: 2017
Citations: 41 -
Determination of the modulus of elasticity in agricultural seeds on the basis of elasticity theory
Authors: R. Khodabakhshian, B. Emadi
Year: 2011
Citations: 38 -
Prediction of repair and maintenance costs of farm tractors by using of preventive maintenance
Authors: R. Khodabakhshian, M. Shakeri
Year: 2011
Citations: 38 -
An evaluation of IR spectroscopy for authentication of adulterated turmeric powder using pattern recognition
Authors: R. Khodabakhshian, M. R. Bayati, B. Emadi
Year: 2021
Citations: 34 -
A comparative study of reflectance and transmittance modes of Vis/NIR spectroscopy used in determining internal quality attributes in pomegranate fruits
Authors: M. R. G. Rasool Khodabakhshian Kargar, Bagher Emadi, Mehdi Khojastehpour
Year: 2019
Citations: 33 -
Adulteration detection of Sudan Red and metanil yellow in turmeric powder by NIR spectroscopy and chemometrics: The role of preprocessing methods in analysis
Authors: R. Khodabakhshian, M. R. Bayati, B. Emadi
Year: 2022
Citations: 32