Green Agriculture Recognition Archives

University of Sussex, United Kingdom

Author Profile

Orcid ID

Suitable for this Best Researcher Award

Gibbon Innocent Tirivanhu Masukwedza is a distinguished climate scientist specializing in subseasonal-to-seasonal (S2S) prediction and climate variability. His research enhances the predictability of dry spells in Southern Africa, contributing to agricultural resilience. With expertise in statistical modeling, geospatial data analysis, and high-performance computing, he plays a pivotal role in impact-based forecasting (IbF) and climate-informed decision-making. His work significantly advances early warning systems, drought risk management, and the application of ENSO signals in agriculture. His interdisciplinary collaborations integrate climate science with policy and practice, strengthening food security and climate adaptation strategies worldwide.

Education

Dr. Masukwedza holds a PhD in Climate Science, with a focus on subseasonal-to-seasonal prediction and climate variability. He has conducted pioneering research on dry spell predictability, large-scale agrometeorologically relevant dry spells (LARDS), and the influence of atmospheric teleconnections. His doctoral work has been instrumental in refining climate forecasting methodologies, improving their application in drought mitigation and food security. His academic training includes advanced courses in geospatial analysis, climate modeling, and impact-based forecasting. He actively collaborates with meteorological agencies, agricultural experts, and policymakers, ensuring his research has practical implications in real-world climate adaptation and resilience-building efforts.

Professional Experience

Dr. Masukwedza is a Postdoctoral Research Fellow at the University of Sussex. His research focuses on the CLARITY project, funded by UK Aid and co-funded by IDRC Canada, where he enhances subseasonal-to-seasonal prediction frameworks. He has worked extensively on NASA-funded projects, integrating climate modeling with decision-making for agricultural sustainability. His contributions to impact-based forecasting (IbF) include improving drought early warning systems and developing predictive tools for extreme weather events. He collaborates with international research teams, contributing to cutting-edge advancements in climate risk assessment, atmospheric dynamics, and statistical downscaling techniques.

Awards and Recognition

Dr. Masukwedza has been recognized globally for his contributions to climate science. He has received accolades for his research on extreme weather events and their impact on agriculture, including best paper awards at climate science conferences. His work has been acknowledged in international climate adaptation programs, emphasizing his expertise in subseasonal-to-seasonal prediction. He has been invited as a keynote speaker at multiple international climate forums and serves as a peer reviewer for high-impact scientific journals. His research has influenced policy frameworks for climate risk mitigation and agricultural resilience across Southern Africa and beyond.

Research skills On Crop Science

Dr. Masukwedza is proficient in climate data analysis, subseasonal-to-seasonal (S2S) prediction, and geospatial modeling. He specializes in impact-based forecasting (IbF) and the assessment of large-scale agrometeorological dry spells. His expertise includes statistical modeling, bias correction techniques, and machine learning applications in climate science. He actively contributes to interdisciplinary collaborations, integrating meteorological data with agricultural risk management strategies. His research on ENSO’s influence on climate variability enhances drought mitigation approaches, strengthening food security and resilience in vulnerable regions. His technical proficiency and scientific insights drive advancements in climate prediction and decision-support systems.

Publications

Storylines of Unprecedented Extremes in the Southeast United States. Bulletin of the American Meteorological Society (2025)

Characteristics and atmospheric drivers of large-scale agrometeorological dry spells in subseasonal-to-seasonal timescales over Zimbabwe (2025).

Assessing the extended-range forecast skill of extreme agrometeorological dry spells over Southern Africa (2025).

Subseasonal predictability of weekly rainfall and rainy season onset over East Africa (2025).

Detectable use of ENSO information on crop production in Southern Africa. Climate Services (2024).

Potential for surprising heat and drought events in wheat-producing regions of USA and China. npj Climate and Atmospheric Science (2023).

A Regime Perspective on the North Atlantic Eddy-Driven Jet Response to Sudden Stratospheric Warmings. Journal of Climate (2020).

Operational Regional Flash Flood Guidance System: A case study of Zimbabwe. World Meteorological Organization Special Issue on Water (2018).

Henan University of Technology, Zhengzhou Henan China

Author Profile

Scopus

Orcid ID

Google Scholar

Suitable for this Best Researcher Award

Dr. Muhammad Imran is a highly accomplished plant pathologist with a strong research focus on plant-microbe interactions, sustainable agriculture, and biocontrol methods for plant disease management. His academic journey, spanning institutions in China, Saudi Arabia, and Pakistan, reflects his commitment to international collaboration and scientific advancement. His research aligns with global agricultural challenges, aiming to reduce chemical pesticide use and promote eco-friendly plant protection strategies. Dr. Muhammad Imran’s research excellence, innovative contributions to sustainable agriculture, and extensive publication record make him a highly suitable candidate for a Best Researcher Award. His dedication to advancing plant pathology, integrating biotechnological tools, and fostering global collaborations position him as a leading figure in his field. His work has not only contributed to fundamental scientific knowledge but also holds significant practical implications for sustainable agricultural practices worldwide.

Education

Dr. Muhammad Imran holds a Ph.D. in Arid Land Agriculture (Crop Protection) from King Abdulaziz University, Jeddah, Saudi Arabia (2018-2022). Prior to this, he earned an M.Phil in Agriculture (Plant Pathology) from China Agricultural University, Beijing, China (2015-2017). His academic journey began with a Bachelor’s degree in Agriculture (Plant Pathology) from the University of Sargodha, Pakistan (2011-2015). His education focused on plant disease resistance, biocontrol agents, and sustainable agricultural practices. His academic rigor and interdisciplinary approach have shaped his expertise in developing innovative plant disease management strategies. Currently, he serves as an Assistant Professor/Post-Doctoral Researcher at Henan University of Technology, where he continues his groundbreaking research on microbial-based plant disease control solutions.

Professional Experience

Dr. Muhammad Imran has a diverse professional background in academia and research. Since 2023, he has been a Post-Doctoral Researcher at the School of Biological Engineering, Henan University of Technology, China. Previously, he served as an HEC-IPFP Interim Faculty Member in Pakistan (2022-2023) and a Joint Lecturer at King Abdulaziz University, Jeddah, Saudi Arabia (2019-2022). Additionally, he worked as a Research Associate at King Abdulaziz University (2018-2022) and an Internee Teacher in the Punjab Education Department, Pakistan (2017-2018). His professional experience is centered on plant pathology, disease resistance mechanisms, and biocontrol applications, contributing to sustainable agricultural practices.

Awards and Recognition

Research skills On Plant Pathology

Dr. Muhammad Imran specializes in plant pathology, microbial interactions, and biocontrol applications. His expertise includes disease resistance mechanisms, molecular plant pathology, and integrated disease management. Proficient in advanced molecular biology techniques, bioinformatics, and nanotechnology applications in agriculture, he is committed to sustainable disease control methods. His research emphasizes reducing chemical pesticide use while enhancing plant immunity through microbial solutions. His contributions are instrumental in fostering green agricultural advancements.

Publications

Insights into the dynamics of biochemical profile and relative gene expression of cucumber fruits associated with Fusarium spoilage

Journal: Journal of Plant Diseases and Protection
Year: 2025
Authors: Muhammad Imran, Hanan A. Khalifa, Zhongke Sun, Muhammad Saqib Bilal, Mohamed Hassan Abd El-Wahed, Kamal A. M. Abo-Elyousr, Esmat F. Ali, Chengwei Li

One stone two birds: Endophytes alleviating trace elements accumulation and suppressing soilborne pathogen by stimulating plant growth, photosynthetic potential and defense related gene expression

Journal: Journal of Hazardous Materials
Year: 2024
Authors: Muhammad Imran, Zhongke Sun, Kamal A.M Abo-Elyousr, Haider Ali, Munirah F. Aldayel, Chengwei Li

Bacillus Amyloliquefaciens IKMM and Zinc Nanoparticles as Biocontrol Candidate Induce the Systemic Resistance by Producing Antioxidants in Tomato Plants Challenged with Early Blight Pathogen

Journal: Journal of Crop Health
Year: 2024
Authors: Munirah F. Aldayel, Hind Salih Alrajeh, Nashwa Mohamed Ateaf Sallam, Muhammad Imran

Use of Trichoderma culture filtrates as a sustainable approach to mitigate early blight disease of tomato and their influence on plant biomarkers and antioxidants production

Journal: Frontiers in Plant Science
Year: 2023
Authors: Muhammad Imran, Kamal A. M. Abo-Elyousr, Magdi A. A. Mousa, Maged M. Saad

Isolation of Pseudomonas syringae pv. Tomato strains causing bacterial speck disease of tomato and marker-based monitoring for their virulence

Journal: Molecular Biology Reports
Year: 2023
Authors: Bahaa Elhayq, Muhammad Imran, Kamal A.M Abo-Elyousr, Amer F. Mahmoud

Biocontrol Potential of Trichoderma harzianum and Zinc Nanoparticles to Mitigate Gray Mold Disease of Tomato

Journal: Gesunde Pflanzen
Year: 2023
Authors: Muhammad Imran, Kamal A. M. Abo-Elyousr, Mohamed E. El-Sharnouby, Esmat F. Ali, Nashwa M. A. Sallam, Hadeel M. M. Khalil Bagy, Ismail R. Abdel-Rahim