Lei Zhang | Agriculture | Best Researcher Award

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Prof. Dr. Lei Zhang | Agriculture | Best Researcher Award

Prof. Dr. Lei Zhang, Zhejiang Sci-Tech University, China

Prof. Dr. Lei Zhang is a Professor at the School of Mechanical Engineering, Zhejiang Sci-Tech University, China, and a Visiting Scholar at the Robotics Laboratory of Texas State University. He holds a Doctor of Engineering in Mechatronics from the Chinese Academy of Sciences and specializes in mechanism synthesis, agricultural machinery, and robotics. With leadership in numerous national and provincial research projects, he has published over 40 academic papers and holds more than 70 patents. He is an active member of IEEE and serves as an editor and reviewer for several international journals.

Profile

Scopus

Summary:

Prof. Dr. Lei Zhang’s extensive research in mechatronics, agricultural machinery, and robotics has positioned him as a leader in his field. His ability to integrate complex engineering solutions with real-world applications is exemplified by his numerous patents, high-impact publications, and successful project leadership. As a professor at Zhejiang Sci-Tech University and a visiting scholar at Texas State University, he continues to influence the next generation of engineers and researchers. His contributions not only advance technical knowledge but also promote innovation in sustainable agricultural practices and automation.

🎓 Education

Lei Zhang holds a Doctor of Engineering degree in Mechatronics Engineering from the Shenyang Research Institute of Automation, Chinese Academy of Sciences. He earned his Master’s degree in Mechatronics Engineering from the College of Mechanical Engineering and Applied Electronics Technology, Beijing Polytechnic University, and a Bachelor’s degree in Mechanical Design and Manufacturing from the School of Mechanical Engineering, Shandong University of Technology.

đź’ĽExperience

Lei Zhang is a Professor at the School of Mechanical Engineering, Zhejiang Sci-Tech University, where he has served since 2008 in various academic roles including Lecturer, Associate Professor, and Master’s Supervisor. He is also a Visiting Scholar at the Robotics Laboratory of Texas State University. Earlier in his career, he worked as an Assistant Lecturer at Shandong Second Vocational College.

🔬Research Focus

Lei Zhang’s research focuses on mechanism synthesis, agricultural machinery, and robotics. He has led and participated in multiple high-level research projects, including a sub-project under the National Key Research and Development Program of the 14th Five-Year Plan, two National Natural Science Foundation of China projects, and several initiatives sponsored by provincial departments and industry partners. His work has led to the publication of over 40 academic papers, with more than 30 indexed by SCI and EI.

🛠️Skills

Professor Zhang possesses extensive expertise in mechanism synthesis, agricultural machinery equipment, and robot technology. His technical strengths are further demonstrated by his portfolio of over 40 invention patents and 36 utility model patents. He is highly skilled in managing and executing research projects and has successfully led numerous national and provincial-level research initiatives as well as enterprise-commissioned projects.

🏆Awards

Lei Zhang has received multiple prestigious awards in recognition of his contributions to science and technology. He was awarded the Second Prize in the Zhejiang Provincial Science and Technology Progress Award in 2017 for his work on adjustable-presser-foot thread-breakage-responsive wide-format embroidery machines. In 2021, he earned the Third Prize in the same award category for the development and industrial application of multi-head wide-format ultra-high-speed embroidery equipment.

đź“š Publications

Title: Lightweight Classification of Lotus Seedpod Quality Using Improved YOLOv3-Tiny Model
Authors: L. Zhang; H. Yan; Y. Jia; B. Ye; Z. Ma
Year: 2024
Journal: Nongye Gongcheng Xuebao / Transactions of the Chinese Society of Agricultural Engineering

Title: Analysis and Optimization of Low-Resistance Animal Bionic Subsoiling Shovel Based on EDEM
Authors: L. Zhang; X. Wang; J. Chen; H. Wang; Y. Cao
Year: 2024
Journal: Agriculture (Switzerland)

Title: Optimization Design and Experiment of Cam-Elliptical Gear Combined Vegetables Curved Surface Labeling Mechanism
Authors: L. Zhang; H. Zhou; J. Chen; Y. Liu; X. Zhang
Year: 2024
Journal: Frontiers in Robotics and AI

Conclusion:

Prof. Dr. Lei Zhang’s excellence in research, patent contributions, and project leadership makes him a strong contender for the Best Researcher Award. His groundbreaking work in agricultural machinery and robotics showcases his potential to drive further advancements in technology that address real-world challenges. While opportunities for greater global collaboration and outreach exist, Prof. Zhang’s current body of work undeniably positions him as a leading researcher, deserving recognition for his innovative contributions to both academia and industry.

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.