Ekta Pandey | Plant Stress Physiology | Best Researcher Award

Ms. Ekta Pandey | Plant Stress Physiology | Best Researcher Award

Research Scholar at Aligarh Muslim University | India

Ms. Ekta Pandey is a dedicated research scholar at Aligarh Muslim University specializing in Environmental Stress Plant Physiology with a strong focus on salinity tolerance, plant–microbe interactions and sustainable crop improvement approaches, recognized for her emerging contributions to abiotic stress biology through influential publications including Potential Uses of Nanotechnology in Agriculture Sustainability: Concerns Now Raised, Salinity: Its Influence on the Environment and Sustainable Agriculture and the Strategies Involving Phytoprotectants Against It, Prospects for the Use of Metabolomics Engineering in Exploring and Harnessing Chemical Signaling in Root Galls, Plant Metabolomics Based on Single-Cell Technology, Dissecting Stress-Tolerant Traits of CRISPR-Edited Crops by High-Throughput Omics Technologies, and Resilient Capacity Against Rising Temperature Gained by Coordinated Approaches of CRISPR/Cas with Functional Genomics, along with impactful journal contributions such as AMF-Mediated Mitigation of Cd-Induced Toxicity in Cicer arietinum, Application of Rhizobium Alleviates Cadmium Stress-Induced Damage to Growth and Yield, Plant Growth-Promoting Rhizobacteria Induced Protection: A Plant Immunity Perspective, Morphological and Biochemical Responses of Vicia faba Grown on Fly Ash Amended Soil, Mitigating Salt Stress in Lens culinaris Through Rhizobium-Enhanced Photosynthesis and Antioxidant Defense, From Stress to Strength: Improving Fenugreek Seed Germination Under Saline Conditions with Moringa Leaf Extract Priming, and Linking the Interaction of Salicylates and Jasmonates for Stress Resilience in Plants, reflecting her expertise in physiological, biochemical and molecular strategies that strengthen plant adaptation under harsh environments; her academic journey is further distinguished by multiple book chapters, collaborative research works, peer-review service for reputed international journals, and ongoing scientific contributions that aim to advance climate-resilient agriculture, enhance crop productivity under salinity stress, and develop innovative biostimulant-based and microbe-assisted solutions for future sustainable farming systems.

Profile : Scopus | Orcid | Google Scholar

Featured Publications : 

Kumari, R., Pandey, E., Bushra, S., Faizan, S., & Pandey, S. (2024). Plant growth promoting rhizobacteria (PGPR) induced protection: A plant immunity perspective. Physiologia Plantarum, 176(5), e14495.

Bushra, S., Faizan, S., Badar, A., Pandey, E., Kumari, R., & Akhtar, M. S. (2024). AMF-mediated mitigation of Cd-induced toxicity in Cicer arietinum and their influence on growth, photosynthesis efficiency, cell viability, antioxidants and yield attributes. South African Journal of Botany, 164, 9–22.

Bushra, S., Faizan, S., Badar, A., Kumari, R., & Pandey, E. (2024). Application of rhizobium alleviates the cadmium stress-induced damage to growth, photosynthetic efficiency, cell viability and yield by up-regulating antioxidants in Cicer arietinum L. Journal of Plant Growth Regulation, 43(6), 2014–2026.

Khan, F., Pandey, E., Fatima, S., Khan, A., Zeb, S. Z., & Ahmad, F. (2023). Prospects for the use of metabolomics engineering in exploring and harnessing chemical signaling in root galls. In Root-Galling Disease of Vegetable Plants (pp. 309–338). Springer.

Hussain, A., Faizan, S., Kumari, R., & Pandey, E. (2024). Morphological and biochemical responses of Vicia faba grown on fly ash amended soil in the presence of Rhizobium leguminosarum and arbuscular mycorrhizal fungus. Environmental Science and Pollution Research, 31(31), 44361–44373.

 

Jiquan Wang | Crop Science | Editorial Board Member

Prof. Dr. Jiquan Wang | Crop Science | Editorial Board Member

Professor at Northeast Agricultural University | China

Prof. Dr. Jiquan Wang is a distinguished professor at the College of Engineering, Northeast Agricultural University, recognized for his extensive contributions to agricultural systems engineering, intelligent optimization algorithms, and data-driven decision-making in agriculture; he completed his bachelor’s, master’s, and doctoral studies in engineering at leading agricultural universities in China and began his professional career as a technician in an electronics company before transitioning into academia, where he progressed through roles including teaching assistant, lecturer, associate professor, visiting scholar, and professor; his research portfolio spans theoretical and applied studies in genetic algorithms, hybrid evolutionary algorithms, firefly algorithms, sine–cosine optimization, mayfly optimization, carnivorous plant algorithms, whale optimization, evolutionary game theory, agricultural production modeling, pork supply forecasting, crop planting structure optimization, multilevel thresholding image segmentation, food supply chain safety, and agricultural technological progress measurement; he has served as principal investigator for numerous competitive research grants supported by provincial, national, and public-welfare programs, covering subjects such as agricultural machinery system optimization, BP neural network applications, groundwater monitoring technologies, seasonal rural labor estimation, rice production integration, and supply-demand regulation models for agricultural products; he has supervised many postgraduate theses involving advanced optimization techniques, machine learning applications, routing algorithms, neural networks, production function analysis, supply chain coordination, and image-based crop identification; his scholarly output includes influential publications in top international journals such as Computers and Electronics in Agriculture, Expert Systems with Applications, Applied Soft Computing, Applied Intelligence, IEEE Access, Mathematics, Sustainability, Knowledge-Based Systems, and Computational Intelligence and Neuroscience, and he has served as associate editor of major academic textbooks including Agricultural Systems Engineering and Management Information System Analysis and Design, with his works widely cited for advancing modern agricultural engineering; his innovation record includes numerous authorized patents covering agricultural machinery, intelligent scheduling methods, crop production devices, soil and crop processing systems, optimization-based agricultural tools, and smart mechanization structures, reflecting his leadership in merging engineering innovation with computational intelligence for sustainable agricultural development.

Profile : Scopus | ORCID

Featured Publications : 

Jinling, B., Wang, J., & Zhang, H. (in press). An optimization method for corn planting parameters based on mutation breeding sea horse optimization algorithm. Computers and Electronics in Agriculture.

 Author, A., & Wang, J. (in press). A knowledge-driven smart system based on reinforcement learning for pork supply-demand regulation. Agriculture (Switzerland).

Author, A., Author, B., & Wang, J. (in press). Edge–Region collaborative segmentation of potato leaf disease images using Beluga Whale Optimization Algorithm with danger sensing mechanism. Agriculture (Switzerland).

Author, A., Author, B., Author, C., & Wang, J. (2024). Identifying rice lodging based on semantic segmentation architecture optimization with UAV remote sensing imaging. Computers and Electronics in Agriculture, (vol/issue not provided).