Kobra Heidarbeigi | Agricultural | Best Researcher Award

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Kobra Heidarbeigi | Agricultural | Best Researcher Award

Associate Professor at Ilam University, Iran.

Dr. Kobra Heidarbeigi is a highly accomplished associate professor in the Department of Mechanical Engineering of Biosystems at Ilam University, Iran. With a deep-rooted passion for agricultural machinery and biosystems engineering, she has made significant contributions to the field through innovative research and teaching. Her expertise lies in the integration of advanced technologies to solve real-world agricultural challenges, particularly in the areas of food safety and quality control. Dr. Heidarbeigi is known for her commitment to fostering an inclusive learning environment, inspiring her students to pursue excellence in research and innovation. Through her academic and research endeavors, she aims to enhance agricultural practices and contribute to sustainable development.

Professional Profile

Education

Dr. Kobra Heidarbeigi holds a Ph.D. in Mechanical Engineering of Agricultural Machinery from the University of Tehran, where she achieved an impressive GPA of 18.83/20. Her doctoral thesis focused on implementing advanced detection systems using electronic tongue and electronic nose technology to identify saffron adulteration. Before this, she earned her M.Sc. in the same field from the University of Tehran, achieving a GPA of 17.33/20 with a thesis on vibration condition monitoring of tractor gearboxes. Dr. Heidarbeigi completed her B.Sc. in Engineering of Agricultural Machinery at Ilam University, where she graduated with a GPA of 15.57/20. Her strong academic foundation is complemented by her international experience during a sabbatical study at the University of Valladolid in Spain, where she expanded her research capabilities and knowledge in agricultural machinery.

Professional Experience

With a robust academic career that began in 2006, Dr. Kobra Heidarbeigi has amassed extensive teaching and research experience in mechanical engineering, particularly in the agricultural sector. As an associate professor at Ilam University, she has taught various undergraduate and graduate courses, including agricultural machinery, vibration analysis, and advanced engineering topics. Her research experience encompasses innovative projects aimed at improving agricultural practices through technology integration, including the development of systems for detecting food adulteration and monitoring equipment health. Dr. Heidarbeigi has collaborated on numerous research initiatives, contributing her expertise in artificial intelligence and machine learning to enhance agricultural machinery’s performance and reliability. She remains actively engaged in academia, mentoring students and guiding them through research projects that promote sustainable agricultural practices and technological advancements.

Research Interest

Dr. Kobra Heidarbeigi’s research interests lie at the intersection of mechanical engineering, agricultural machinery, and biosystems. Her primary focus includes the development and application of advanced technologies, such as electronic tongues and electronic noses, for food safety and quality control. She is also dedicated to exploring the potential of artificial intelligence and machine learning in monitoring and diagnosing agricultural machinery, contributing to improved operational efficiency and reduced downtime. Additionally, Dr. Heidarbeigi is passionate about vibration analysis and condition monitoring, particularly in agricultural equipment, to enhance its reliability and performance. Her multidisciplinary approach integrates engineering principles with agricultural challenges, aiming to develop sustainable solutions that positively impact food production and safety. By focusing on innovative methodologies, she seeks to advance the field of agricultural engineering and contribute to the well-being of the agricultural sector.

Award and Honor

Throughout her academic career, Dr. Kobra Heidarbeigi has received several prestigious awards recognizing her exceptional contributions to the field of agricultural machinery and biosystems engineering. Notably, she was awarded the best Ph.D. thesis at the University of Tehran, highlighting the significance and quality of her research work. Additionally, she received the university’s encouragement award for her ongoing commitment to research and education. Dr. Heidarbeigi also received the esteemed Prof. Hamdy Hassanin Award for excellence in graduate studies, which underscores her impact on mentoring and guiding graduate students. Her research has been supported by various grants, including the Graduated Research Challenge Fund (GRCF) from the Egyptian Academy of Science and Technology. These accolades reflect her dedication to advancing agricultural engineering and her commitment to promoting research excellence in her field.

Conclusion

In conclusion, Dr. Kobra Heidarbeigi is an exemplary candidate for the Best Researcher Award. Her strong academic background, innovative research contributions, and commitment to advancing agricultural engineering demonstrate her potential to lead and inspire in the scientific community. By addressing the identified areas for improvement, Dr. Heidarbeigi can further elevate her contributions and recognition in the field, making her a deserving recipient of this prestigious award.

Publications top noted

Detection of chlorine in potassium chloride and potassium sulfate using chemical imaging and artificial neural network

Authors: Hossein Nargesi, M., Heidarbeigi, K., Moradi, Z., Abdolahi, S.

Year: 2025

Citation: Nargesi, M. H., Heidarbeigi, K., Moradi, Z., & Abdolahi, S. (2025). Detection of chlorine in potassium chloride and potassium sulfate using chemical imaging and artificial neural network. Spectrochimica Acta – Part A: Molecular and Biomolecular Spectroscopy, 326, 125253.

The application of machine vision in the detection of adulteration in powdered biological materials

Authors: Heidarbeigi, K., Nargesi, M. H.

Year: 2024

Citation: Heidarbeigi, K., & Nargesi, M. H. (2024). The application of machine vision in the detection of adulteration in powdered biological materials. In The Future of Imaging Technology (pp. 55–70).

Quality assessment of liquids using imaging and machine learning methods

Author: Heidarbeigi, K.

Year: 2024

Citation: Heidarbeigi, K. (2024). Quality assessment of liquids using imaging and machine learning methods. In The Future of Imaging Technology (pp. 41–54).

Test and evaluation of farm machinery and equipment using imaging technology

Author: Heidarbeigi, K.

Year: 2024

Citation: Heidarbeigi, K. (2024). Test and evaluation of farm machinery and equipment using imaging technology. In The Future of Imaging Technology (pp. 87–100).

Comparing Aerodynamic Terminal Velocity of Open and Closed Mouth Pistachio Nuts Using Wind Column

Authors: Heidarbeigi, K., Samadi, S.

Year: 2024

Citation: Heidarbeigi, K., & Samadi, S. (2024). Comparing Aerodynamic Terminal Velocity of Open and Closed Mouth Pistachio Nuts Using Wind Column. Journal of Nuts, 15(2), 195–205.

Vibration Analysis of a Single-Cylinder Engine Fueled by Magnetized Biodiesel-Diesel Fuel Blend

Authors: Samadi, S., Heidarbeigi, K.

Year: 2023

Citation: Samadi, S., & Heidarbeigi, K. (2023). Vibration Analysis of a Single-Cylinder Engine Fueled by Magnetized Biodiesel-Diesel Fuel Blend. Romanian Journal of Acoustics and Vibration, 20(2), 167–171.

Electronic tongue as innovative instrument for detection of crocin concentration in saffron (Crocus sativus L.)

Authors: Yousefi-Nejad, S., Heidarbeigi, K., Roushani, M.

Year: 2022

Citation: Yousefi-Nejad, S., Heidarbeigi, K., & Roushani, M. (2022). Electronic tongue as innovative instrument for detection of crocin concentration in saffron (Crocus sativus L.). Journal of Food Science and Technology, 59(9), 3548–3556.

Technical efficiency, sensitivity analysis and economic assessment applying data envelopment analysis approach: A case study of date production in Khuzestan State of Iran

Authors: Hesampour, R., Hassani, M., Hanafiah, M. M., Heidarbeigi, K.

Year: 2022

Citation: Hesampour, R., Hassani, M., Hanafiah, M. M., & Heidarbeigi, K. (2022). Technical efficiency, sensitivity analysis and economic assessment applying data envelopment analysis approach: A case study of date production in Khuzestan State of Iran. Journal of the Saudi Society of Agricultural Sciences, 21(3), 197–207.

Characterization of vibration and noise pollution of SI engine fueled with magnetized ethanol–gasoline blends by time–frequency methods

Authors: Faraji, H., Heidarbeigi, K., Samadi, S.

Year: 2021

Citation: Faraji, H., Heidarbeigi, K., & Samadi, S. (2021). Characterization of vibration and noise pollution of SI engine fueled with magnetized ethanol–gasoline blends by time–frequency methods. Noise and Vibration Worldwide, 52(11), 356–364.