Prof. Vali Rasooli Sharabiani | Biological Sciences | Editorial Board Member

University of Mohaghegh Ardabili | Iran

Dr. Vali Rasooli Sharabiani is a distinguished Professor at the University of Mohaghegh Ardabili, Iran, whose research centers on precision agriculture, smart farming technologies, and non-destructive measurement methods for sustainable crop production and food processing. His scientific work integrates artificial intelligence, hyperspectral imaging, and multivariate data analysis to enhance agricultural efficiency, resource management, and environmental protection. Dr. Sharabiani’s contributions have significantly advanced the understanding of variable rate technology, remote sensing, and the application of machine learning models such as ANNs, ANFIS, and fuzzy logic in agricultural systems. His interdisciplinary approach bridges engineering, agronomy, and data science, making his research highly influential in both academic and industrial sectors. With more than 1,500 citations, an h-index of 21, and an i10-index of 37 on Google Scholar, along with high-impact publications indexed in Scopus, his scholarly achievements reflect strong global recognition. Dr. Sharabiani’s research outputs are widely referenced in the fields of agricultural mechanization, energy-efficient drying systems, and precision monitoring of crop and soil properties.

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Featured Publications

Kaveh, M., Sharabiani, V. R., Chayjan, R. A., & Taghinezhad, E. (2018). ANFIS and ANNs model for prediction of moisture diffusivity and specific energy consumption of potato, garlic, and cantaloupe drying under convective hot air dryer. Information Processing in Agriculture, 5(3), 372–387.

Kaveh, M., Chayjan, R. A., Taghinezhad, E., Sharabiani, V. R., & Motevali, A. (2020). Evaluation of specific energy consumption and GHG emissions for different drying methods (Case study: Pistacia Atlantica). Journal of Cleaner Production, 259, 120963.

Jahanbakhshi, A., Kaveh, M., Taghinezhad, E., & Rasooli Sharabiani, V. (2020). Assessment of kinetics, effective moisture diffusivity, and specific energy consumption in the pistachio kernel drying process in microwave drying. Journal of Food Processing and Preservation, 44(6), e14449.

Jahedi Rad, S., Kaveh, M., Sharabiani, V. R., & Taghinezhad, E. (2018). Fuzzy logic, artificial neural network, and mathematical model for prediction of white mulberry drying kinetics. Heat and Mass Transfer, 54(11), 3361–3374.

Rasooli Sharabiani, V., Kaveh, M., Abdi, R., Szymanek, M., & Tanaś, W. (2021). Estimation of moisture ratio for apple drying by convective and microwave methods using artificial neural network modeling. Scientific Reports, 11(1), 9155.

Assist. Prof. Dr. Hanen Marzouki | Biotechnology | Best Researcher Award

University of Monastir | Tunisia

Dr. Hanen Marzouki is an accomplished Assistant Professor in Biological Sciences from Tunisia, specializing in the study of essential oils, plant extracts, and their biological activities. Her research focuses on the chemical characterization, chromatographic separation, and bioactivity evaluation of natural compounds derived from medicinal and aromatic plants. She has significantly contributed to understanding the biochemical composition, allelopathic potential, and pharmacological properties of essential oils—particularly those of Laurus nobilis L., Eucalyptus species, and Artemisia herba-alba. Her interdisciplinary expertise spans phytochemistry, in vitro propagation, and molecular analysis, integrating traditional botanical knowledge with modern biotechnological and analytical techniques. Dr. Marzouki has collaborated internationally on research exploring supercritical CO₂ extraction, GC/MS profiling, and in silico molecular docking to investigate bioactive substances for potential therapeutic and agricultural applications. Her scholarly impact is reflected in Scopus with 135 citations across 123 documents and an h-index of 4. On Google Scholar, she continues to build an expanding citation base highlighting her contributions to natural product chemistry and sustainable bioresources.

Featured Publications

Marzouki, H., Horchani, M., Chaieb, I., M’Rabet, Y., Ben Jannet, H., & Saadaoui, E. (2025). Chemical characterization, in silico investigations, in vitro evaluation of allelopathic potential and insecticidal activity of Laurus nobilis L. essential oil. Chemistry & Biodiversity.

Piras, A., Marzouki, H., Falconieri, D., Porcedda, S., Gonçalves, M. J., & Salgueiro, L. (2017). Chemical composition and biological activity of volatile extracts from leaves and fruits of Schinus terebinthifolius Raddi from Tunisia. Records of Natural Products, 11(1), 9–16.

Floris, S., Fais, A., Rosa, A., Piras, A., Marzouki, H., & Era, B. (2019). Phytochemical composition and enzyme inhibitory properties of seed extracts from the Washingtonia filifera palm. RSC Advances, 9, 21278.

Marzouki, H., Falconieri, D., Piras, A., & Porcedda, S. (2015). Chemical composition of essential oils from needles of Pinus pinaster from Italy and Tunisia. Asian Journal of Chemistry, 27(7).

Marzouki, H., Khaldi, A., Piras, A., & Marongiu, B. (2009). Biological activity evaluation of the oils from Laurus nobilis of Tunisia and Algeria extracted by supercritical carbon dioxide. Natural Products Research, 23, 230–237.