Sher Shah Hassan | Agricultural | Best Researcher Award

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Mr. Sher Shah Hassan | Agricultural | Best Researcher Award

Mr. Sher Shah Hassan, Ministry of Climate Change, Pakistan

Sher Shah Hassan is an Agricultural Engineer and climate expert currently serving as a Team Lead and MRV/GIS Expert at the Global Climate-Change Impact Studies Centre (GCISC), Ministry of Climate Change, Pakistan. With extensive experience in GIS, remote sensing, climate risk assessment, and energy efficiency, he has played a key role in Pakistan’s GHG inventory, mitigation policies, and adaptation monitoring. He has collaborated with international organizations, including CITEPA (France), the World Bank, UNDP, and PIK (Germany), contributing to climate transparency frameworks and sustainable agricultural strategies. His research focuses on geospatial data analysis, machine learning applications in climate science, and sustainable land and water management.

Profile

Scopus

Summary:

Mr. Sher Shah Hassan is a strong candidate for the Best Researcher Award due to his contributions to air pollution and climate change research in Pakistan, his use of geospatial techniques, and his work’s direct impact on policymaking. However, to enhance his profile further, he could focus on expanding his research globally, publishing more independent work, and increasing international collaborations.

🎓 Education

Sher Shah Hassan holds a BSc (Hons) in Agricultural Engineering from the University of Engineering & Technology, Peshawar, Pakistan, graduating in 2017 with a CGPA of 3.58/4.00. His undergraduate thesis focused on “Spatial Flood Risk Analysis of Chenab River from Marala to Qadirabad Based on Multi-Criteria Decision Analysis (MCDA).” He is currently completing an MSc in Soil and Water Engineering at the same university, with a CGPA of 3.18/4.00. His master’s research integrates geospatial machine learning and multi-criteria decision-making for sustainable mangrove management in the Indus Delta, Pakistan.

đź’ĽExperience

Sher Shah Hassan has extensive experience in climate impact research, GIS applications, and agricultural engineering. He currently serves as Team Lead and MRV/GIS Expert at the Global Climate-Change Impact Studies Centre (GCISC), Ministry of Climate Change & Environmental Coordination, Pakistan, where he specializes in data collection, stakeholder engagement, and climate impact analysis. Since May 2021, he has also been the Team Leader for Mitigation & Adaptation at the Centre Interprofessionnel Technique d’Etudes de la Pollution Atmosphérique (CITEPA), France, where he contributes to GHG inventory management, climate transparency, and adaptation monitoring in Pakistan.

🔬Research Focus

Sher Shah Hassan’s research focuses on climate change mitigation and adaptation, sustainable agricultural practices, GIS-based environmental monitoring, energy efficiency in agriculture, and water resource management. His work integrates geospatial technologies and machine learning for sustainable land-use planning and climate resilience.

🛠️Skills

His expertise in GIS and remote sensing applications, climate risk assessment, agricultural engineering, geospatial data analysis, energy efficiency strategies, mitigation and adaptation policy development, stakeholder engagement, and technical report writing. He is also proficient in multi-criteria decision analysis, machine learning applications in climate science, and institutional capacity building.

🏆Awards

Throughout his career, he has been engaged in national and international climate research collaborations, contributing to policy frameworks and transparency mechanisms for climate adaptation. His contributions to Pakistan’s climate action strategies, particularly in MRV systems and energy efficiency, have been instrumental in shaping policy interventions.

đź“š Publications

  • Title: Assessing smog trends and sources of air pollutants across northeastern districts of Punjab, Pakistan using geospatial techniques 
  • Authors: M.A. Goheer (Muhammad Arif), S.S. Hassan (Sher Shah Hassan), A.S. Sheikh (A. S.), M.A. Uzair (Muhammad Ali), T.N. Satti (T. N.)
  • Journal: International Journal of Environmental Science and Technology 
  • Year of Publication: 2025

Conclusion:

 Mr. Sher Shah Hassan is a suitable candidate for the Best Researcher Award. His research aligns with pressing environmental challenges, and his findings have both scientific merit and policy implications. However, strengthening his global reach and independent research contributions could make his candidacy even stronger.

Ze Zhang | Agricultural Science | Best Researcher Award

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Prof. Ze Zhang | Agricultural Science | Best Researcher Award

Prof. Ze Zhang, Shihezi University, China

Prof. Ze Zhang is the Director of the Department of Smart Agriculture and an Associate Professor at the College of Agriculture, Shihezi University, China. He holds a Ph.D. in Crop Cultivation and Farming Systems from Shihezi University. His research focuses on smart agriculture, agricultural remote sensing, and precision farming technologies, particularly in cotton production. He has authored 57 research papers, multiple books, and holds several patents on nitrogen diagnosis and soil nutrient management. With an h-index of 13 and 1,179 citations, his contributions have significantly advanced precision agriculture and digital farming innovations.

Profile

Scopus

Summary:

Prof. Ze Zhang has made outstanding contributions to smart agriculture, particularly in remote sensing applications for cotton production. His research, patents, and leadership in digital farming demonstrate his excellence in precision agriculture. His ability to secure research funding and publish extensively highlights his commitment to advancing agricultural technology. While he is a strong candidate for the Best Researcher Award, enhancing global collaborations, industry engagement, and mentorship could further strengthen his profile.

 

🎓 Education

Ze Zhang received his Bachelor’s degree in Forestry from Shihezi University in 2008, followed by a Master’s degree in Plant Nutrition from the same university in 2011. He completed his Ph.D. in Crop Cultivation and Farming Systems at Shihezi University in 2015.

 

đź’ĽExperience

Ze Zhang is currently the Director of the Department of Smart Agriculture and an Associate Professor at the College of Agriculture, Shihezi University. He has been actively involved in research, teaching, and innovation, particularly in the fields of smart agriculture and agricultural remote sensing.

 

🔬Research Focus

His research primarily focuses on smart agriculture, agricultural remote sensing, and precision farming technologies. His work addresses key challenges in cotton production by developing innovative solutions for monitoring, decision-making, and management efficiency, reaching internationally recognized standards.

Awards

Ze Zhang has contributed significantly to agricultural science, as evidenced by his h-index of 13, 57 research papers, and 1,179 literature citations. He has published multiple books on digital agriculture, precision irrigation, and cotton monitoring. He has also developed patented methods for nitrogen nutrition diagnosis in cotton and soil nutrient management using GIS and remote sensing.

 

Skills

Ze Zhang specializes in precision agriculture, agricultural remote sensing, nitrogen diagnosis in crops, smart farming technologies, and cotton production management. His expertise extends to integrating Geographic Information Systems (GIS), remote sensing, and the Internet of Things (IoT) in agriculture.

 

Publications

  • A Model for Fat Content Detection in Walnuts Based on Near-Infrared Spectroscopy

    • Authors: L. Luo, H. Zhang, Y. Wang, C. Feng, Z. Zhang
    • Journal: Horticulturae
    • Year: 2024

 

  • Warming Effect of the Desert Regulates Spatio-Temporal Distribution of Cotton Verticillium Wilt for the Oasis Agriculture Ecosystem

    • Authors: Y. Gui, C. Huang, J. Zhou, X. Lv, L. Zhang
    • Journal: Industrial Crops and Products
    • Year: 2024

 

  • Comprehensive Growth Monitoring Index Using Sentinel-2A Data for Large-Scale Cotton Production

    • Authors: H. Wang, Q. Yao, Z. Zhang, X. Lv, L. Zhang
    • Journal: Field Crops Research
    • Year: 2024

 

  • “Image-Spectral” Fusion Monitoring of Small Cotton Samples Nitrogen Content Based on Improved Deep Forest

    • Authors: S. Qin, Y. Ding, T. Zhou, Z. Zhang, L. Zhang
    • Journal: Computers and Electronics in Agriculture
    • Year: 2024

 

  • Modeling of Cotton Yield Estimation Based on Canopy Sun-Induced Chlorophyll Fluorescence

    • Authors: H. Wang, Y. Ding, Q. Yao, Z. Zhang, Z. Gao
    • Journal: Agronomy
    • Year: 2024

Conclusion:

Prof. Ze Zhang is a highly suitable candidate for the Best Researcher Award. His extensive research, leadership, and technological advancements in smart agriculture position him as a top contender. Addressing minor areas for improvement could further elevate his impact and reinforce his contributions to agricultural science on a global scale.

Ahmed Ali Ayoub Abdelmoneim | Agricultural | Best Researcher Award

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Dr. Ahmed Ali Ayoub Abdelmoneim | Agricultural | Best Researcher Award

 Dr. Ahmed Ali Ayoub, CIHEAM Bari, Italy

Dr. Ahmed Ali Ayoub is a distinguished researcher at the Mediterranean Agronomic Institute of Bari (CIHEAM Bari), Italy. With a Ph.D. in irrigation system modernization and an M.Sc. in Land and Water Resources Management, his work focuses on sustainable agriculture, water scarcity solutions, and IoT-based precision irrigation. Dr. Ayoub has extensive expertise in soil mapping, irrigation automation, and climate change mitigation, combining cutting-edge technologies like drones and microcontrollers to enhance water use efficiency. A recipient of multiple academic awards, he is committed to advancing innovative solutions for global agricultural challenges.

Profile

Scopus

Summary:

Dr. Ahmed Ali Ayoub has a robust research profile, addressing critical agricultural and environmental challenges through innovative and interdisciplinary approaches. His contributions to irrigation modernization, precision agriculture, and IoT-based solutions position him as a top contender for the Best Researcher Award. With his strong publication record, technical skills, and leadership in academia and research, he exemplifies the qualities of a forward-thinking researcher. However, additional efforts to amplify the visibility and impact of his work could further solidify his position as a global research leader.

 

🎓 Education

Ahmed Ali Ayoub Abdelmoneim has a robust educational background focused on agricultural engineering and water resources management. He holds a B.Sc. in Agriculture Sciences (Agricultural Engineering Program) from Cairo University. Later, he earned an M.Sc. in Land and Water Resources Management: Irrigated Agriculture from the Mediterranean Agronomic Institute of Bari (CIHEAM), where he was ranked first in his class. His master’s thesis explored comparative assessment of irrigation design criteria in Egypt. Ahmed also pursued advanced research studies as part of his Ph.D. at Bari Aldo Moro University and conducted doctoral research at the University of California, Davis. His work at UC Davis focused on hydraulic analysis of furrow irrigation systems using gated pipes under variable soil conditions, leveraging advanced technologies like drones, soil mapping tools, and automation. Additionally, he has a diploma in Laser Applications in Meteorology, Photochemistry, and Agriculture from Cairo University’s National Institute for Laser Enhanced Sciences (NILES).

 

đź’ĽExperience

Ahmed has accumulated significant experience in research, consultancy, project management, and technical innovation. Since March 2021, he has been a Researcher and Consultant at the Mediterranean Agronomic Institute of Bari, contributing to regional projects, teaching courses on solar energy and irrigation systems, and designing field experiments with modern technologies like IoT and 3D printing. From 2017 to 2021, during his Ph.D., he focused on modernization of traditional irrigation systems, employing automation and soil mapping technologies to enhance irrigation efficiency and reduce environmental impact. Ahmed also worked as a Technical Officer for the UNDP’s Low-Emission Capacity Building Project, where he managed climate change mitigation activities, stakeholder coordination, and training programs. His earlier roles include working as an Optical Emission Spectrometry Analyst with the General Organization for Export and Import Control (GOEIC) and as a Technical Office Engineer for Green Hills International, where he contributed to irrigation and drainage system designs for large-scale landscape projects like Uptown Cairo.

 

🔬Research Focus

Dr. Ahmed Ali Ayoub’s research is dedicated to tackling global challenges in climate change, water scarcity, and sustainable agriculture. His primary areas of focus include the modernization of irrigation systems, such as furrow and drip irrigation, to enhance efficiency and uniformity. He leverages the Internet of Things (IoT) to automate irrigation management tools, including tensiometers and infiltration devices. Ahmed also specializes in utilizing soil mapping technologies and remote sensing, such as drones and multi-spectral cameras, to advance precision agriculture. His work emphasizes improving water distribution systems, studying the impact of soil variability on irrigation performance, and developing affordable, sustainable solutions for precision irrigation to optimize water use and increase crop productivity.

 

Awards

Ahmed has been recognized for his academic and professional excellence with several awards. He was ranked first in the CIHEAM M.Sc. Program (2014–2015) and second in his undergraduate class at Cairo University’s Agricultural Engineering Department (2010). These distinctions highlight his commitment to academic and research excellence.

Skills

Dr. Ayoub has a versatile skill set encompassing technical, research, and organizational capabilities. He is proficient in CAD design, Python programming, C++ (Arduino IDE), GIS tools like ArcGIS, and image processing software such as Pix4D. His research expertise includes irrigation modeling tools like DSSAT, AquaCrop, CropWat, and Daily ET0, as well as advanced soil analysis technologies like Veris U3 mapping systems and Pario meter devices. With strong digital competence, he designs IoT applications, integrating 3D printing and automation using microcontrollers like ESP32. Ahmed’s organizational skills are demonstrated through his leadership roles as a lab supervisor, internal auditor for ISO/IEC 17025 accreditation, and coordinator of youth networks such as MedYWat. Fluent in English (IELTS 7.5) and proficient in Italian, he excels in communication, delivering technical webinars, and managing training programs.

Publications

  • Title: Forecasting Blue and Green Water Footprint of Wheat Based on Single, Hybrid, and Stacking Ensemble Machine Learning Algorithms Under Diverse Agro-Climatic Conditions in Nile Delta, Egypt
    Authors: Lotfy, A.A., Abuarab, M.E., Farag, E., Abdelmoneim, A.A., Mokhtar, A.
    Journal: Remote Sensing
    Year: 2024
    Citations: 0

 

  • Title: Advancements in Remote Sensing for Evapotranspiration Estimation: A Comprehensive Review of Temperature-Based Models
    Authors: Derardja, B., Khadra, R., Abdelmoneim, A.A.A., Deflorio, A.M., Volden, E.
    Journal: Remote Sensing
    Year: 2024
    Citations: 3

 

  • Title: Towards Affordable Precision Irrigation: An Experimental Comparison of Weather-Based and Soil Water Potential-Based Irrigation Using Low-Cost IoT-Tensiometers on Drip Irrigated Lettuce
    Authors: Abdelmoneim, A.A., Khadra, R., Elkamouh, A., Derardja, B., Dragonetti, G.
    Journal: Sustainability (Switzerland)
    Year: 2024
    Citations: 5

 

  • Title: OptGate: A New Tool to Design and Analyze the Performance of Conventional and Self-Compensating Gated Pipe Systems
    Authors: Abdelmoneim, A.A., Daccache, A., Khadra, R.
    Journal: Journal of Irrigation and Drainage Engineering
    Year: 2023
    Citations: 0

 

  • Title: Internet of Things (IoT) for Soil Moisture Tensiometer Automation
    Authors: Abdelmoneim, A.A., Khadra, R., Derardja, B., Dragonetti, G.
    Journal: Micromachines
    Year: 2023
    Citations: 6

 

  • Title: Internet of Things (IoT) for Double Ring Infiltrometer Automation
    Authors: Abdelmoneim, A.A., Daccache, A., Khadra, R., Bhanot, M., Dragonetti, G.
    Journal: Computers and Electronics in Agriculture
    Year: 2021
    Citations: 13

Conclusion:

Dr. Ahmed Ali Ayoub is a suitable candidate for the Best Researcher Award, given his substantial contributions to agricultural engineering and sustainability. His innovative research, technical expertise, and dedication to capacity-building make him a deserving nominee. By further enhancing the dissemination and societal application of his research, he can elevate his profile and continue to make transformative contributions to global agricultural and environmental sustainability.