Tarbiat Modares University - Iran
Author Profile
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🎓 Early academic pursuits
Dr. Ebrahim Taghinezhad began his academic journey with a strong interest in agricultural machinery and biosystems engineering. he pursued his bachelor of science degree in agricultural machinery engineering from ferdowsi university, mashhad, iran, in 2008. his deep curiosity and passion for advanced agricultural techniques motivated him to further his education, leading to a master's degree in agricultural machinery mechanic engineering from the university of tarbiat modares, tehran, iran, in 2011. with an aim to contribute to agricultural development through innovative research, dr. taghinezhad obtained his philosophy of doctorate (ph.d.) in agricultural machinery mechanic engineering from tarbiat modares university, tehran, iran, in 2015. his doctoral research was centered on optimizing agricultural machinery for better productivity and sustainability, establishing a solid foundation for his future research contributions.
💼 Professional endeavors
Dr. Ebrahim Taghinezhad has held esteemed positions in the field of agricultural and biosystems engineering. he currently serves as a distinguished research scientist at the department of food chemistry, wrocław university of environmental and life sciences, wroclaw, poland. along with his international research contribution, he is also actively engaged as a faculty member at the department of biosystems engineering, tarbiat modares university, tehran, iran. his professional career is marked by the development of innovative agricultural machinery, enhancement of food processing technologies, and implementation of non-destructive methods to improve food quality and productivity. his diverse expertise in agricultural engineering and spectroscopy has allowed him to bridge the gap between modern agriculture and advanced technological applications.
🔬 Contributions and research focus
Dr. Taghinezhad's research interests revolve around precision agriculture, remote sensing, and non-destructive food quality analysis. his key areas of research include machine vision, Spectroscopy imaging spectroscopy, and the design and manufacture of modern agricultural machinery integrated with sensors and automatic control systems. his contributions in modeling and optimization using soft computing, including artificial neural networks (anns), adaptive neuro-fuzzy inference systems (anfis), and response surface methodology (rsm), have significantly advanced agricultural mechanization. additionally, he is recognized for his work in the application of spectroscopy data processing and hyperspectral imaging to ensure food quality and safety. his innovative approach toward developing automatic control mechanisms for agricultural machinery has helped optimize energy consumption and enhance crop productivity.
🏆 Accolades and recognition
Dr. Ebrahim Taghinezhad has received significant recognition for his groundbreaking research and academic contributions. his association with the european network for assuring food Spectroscopy imaging integrity using non-destructive spectral sensors (sensorfint) highlights his global influence in food quality control. his extensive research outputs have been published in renowned international journals and have gained considerable citations, reinforcing his impactful contribution to agricultural and food engineering. his exemplary guidance as a research supervisor for numerous ph.d. and m.sc. students has also earned him immense respect within the academic community.
🌍 Impact and influence
Dr. Taghinezhad's pioneering work in agricultural machinery engineering and food quality assessment has had a profound impact on the agricultural industry. his innovative research in non-destructive food quality evaluation, coupled with advanced spectroscopy techniques, has set a new benchmark for food processing industries globally. by integrating artificial intelligence, Spectroscopy imaging neural networks, and soft computing in agricultural operations, he has revolutionized the field of precision agriculture. his dedication to promoting sustainable agriculture through energy optimization and modern agricultural machinery design has positively influenced both researchers and industry professionals.
💡 Legacy and future contributions
Dr. Taghinezhad's legacy lies in his remarkable contributions to the field of agricultural engineering, specifically in precision agriculture, spectroscopy, and food quality assessment. his commitment to advancing non-destructive methods for food quality evaluation and optimizing agricultural machinery efficiency will continue to inspire future researchers and industry professionals. as he continues his academic and research pursuits, dr. taghinezhad aims to foster a sustainable agricultural future by integrating artificial intelligence, sensor technology, and advanced computational modeling. his dedication to mentoring future researchers ensures that his impactful legacy will extend to upcoming generations of agricultural scientists.
Notable Publications
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Title: The Potential Application of HSI and VIS/NIR Spectroscopy for Non-Invasive Detection of Starch Gelatinization and Head Rice Yield during Parboiling and Drying Process
Author(s): Ebrahim Taghinezhad, Antoni Szumny, Adam Figiel, Meysam Latifi Amoghin, Ali Mirzazadeh, José Blasco, Sylwester Mazurek, Salvador Castillo-Gironés
Journal: Journal of Food Composition and Analysis, 2025-03
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Title: Energy Flow Analysis in Oilseed Sunflower Farms and Modeling with Artificial Neural Networks as Compared to Adaptive Neuro-Fuzzy Inference Systems (Case Study: Khoy County)
Author(s): Hossein Lotfali Nezhad, Vali Rasooli Sharabiani, Javad Tarighi, Mohammad Tahmasebi, Ebrahim Taghinezhad, Antoni Szumny
Journal: Energies, 2024-06-06
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Title: Effect of Cold Plasma‐Treated Turmeric on the Oxidative Stability and Quality of the Oil From the Milk Thistle Seeds
Author(s): Kamyab Samandari, Bahram Fathi-Achachlouei, Sodeif Azadmard-Damirchi, Jafar Borhanian, Ebrahim Taghinezhad, Antoni Szumny, Ali Ganjloo
Journal: Journal of Food Processing and Preservation, 2024-01
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Title: The Potential Application of Innovative Methods in Neural Networks for Surface Crack Recognition of Unshelled Hazelnut
Author(s): Alireza Shojaeian, Hossein Bagherpour, Reza Bagherpour, Jafar Amiri Parian, Farhad Fatehi, Ebrahim Taghinezhad, Zhanming Li
Journal: Journal of Food Processing and Preservation, 2023-11-08
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Title: Predicting Quality Properties of Pears during Storage Using Hyper Spectral Imaging System
Author(s): Ebrahim Taghinezhad, Vali Rasooli Sharabiani, Mohammadali Shahiri, Abdolmajid Moinfar, Antoni Szumny
Journal: Agriculture, 2023-09-29