Zhandos Shynybay | Agricultural Engineering | Best Researcher Award

Published on by Global Academic Awards

Dr. Zhandos Shynybay | Agricultural Engineering | Best Researcher Award

Dr. Zhandos Shynybay, Almaty University of Power Engineering and Telecommunications named after Gumarbek Daukeyev, Kazakhstan

Dr. Zhandos Shynybay is a distinguished scholar in electrical power engineering ⚡ and agricultural energy systems 🌾. He earned his PhD in Energy Providing of Agriculture from Kazakh National Agrarian University. Currently, he serves as Head of the Department of Power Supply and Electric Drive at Almaty University of Power Engineering and Telecommunications. With extensive academic experience, he has authored multiple research papers 📄 on image-based quality assessment and energy efficiency. His contributions include patents 🏅 on agricultural and industrial automation. Recognized with a Certificate of Honor 🏆 from the Ministry of Education and Science of Kazakhstan, Dr. Shynybay is a leader in power systems innovation.

 

Publication Profile

Orcid

Academic and Professional Journey

 

Dr. Zhandos Shynybay is a renowned expert in energy systems and power engineering ⚡. He obtained his Bachelor’s degree (1997) in Energy Providing of Agriculture from the Kazakh Agricultural Institute and later pursued a Master’s degree (2009) in Electropower Engineering at Kazakh National Agrarian University. He further advanced his academic credentials by earning a PhD (2014) in Energy Providing of Agriculture from the same institution. Dr. Shynybay has dedicated his career to academia, starting as an Assistant Professor (2004-2009) at Kazakh National Agrarian University (KazNARU), later serving as a Senior Lecturer (2009-2014), and subsequently becoming an Associate Professor and Head of the Department (2014-2021). Since 2021, he has been leading as the Head of the Department of Power Supply and Electric Drive at Almaty University of Power Engineering and Telecommunications 🏫. His expertise spans power systems, electrical drives, and agricultural energy solutions, contributing significantly to research, innovation, and academic leadership. 🚀

Education

Dr. Zhandos Shynybay is a distinguished academic specializing in power supply and electric drives. He earned his PhD in 2014, following degrees from Kazakh Agricultural Institute and Kazakh National Agrarian University. With over two decades of experience, he currently serves as Head of the “Power Supply and Electric Drive” department at Almaty University of Power Engineering and Telecommunications. His research focuses on energy automation, image analysis, and agricultural engineering. Dr. Shynybay has authored multiple publications and holds patents in energy systems. He received the Certificate of Honor from Kazakhstan’s Ministry of Education. 🏆📡🔋

 

Awards and prizes:

Dr. Zhandos Shynybay is a renowned researcher and academic in power engineering, specializing in power supply and electric drives. He earned his PhD in 2014 after completing degrees at Kazakh Agricultural Institute and Kazakh National Agrarian University. Currently, he is the Head of the “Power Supply and Electric Drive” department at Almaty University of Power Engineering and Telecommunications. His research spans energy automation, image analysis, and agricultural engineering. A recipient of the Certificate of Honor from Kazakhstan’s Ministry of Education (2020), he has authored numerous publications and holds multiple patents. 🏆⚙️🔋

 

Research Focus ⚡

 

Dr. Zhandos Shynybay specializes in agricultural engineering, renewable energy, and computer vision applications in food quality assessment. His research includes digital image analysis for determining the physical parameters of apples 🍏, optimizing egg quality assessment 🥚, and developing automated sorting systems using computer vision. He has also contributed to renewable energy development 🌞💨 and harvesting optimization 🌾. His interdisciplinary work integrates AI, automation, and energy systems to enhance efficiency in agriculture and food production. His research has been widely published in high-impact journals and conference proceedings. 📚🔍

 

Publication Top Notes

  • 2025: “Methodology for Determining the Main Physical Parameters of Apples by Digital Image Analysis” – AgriEngineering.

    mdpi.com

  • 2022: “Development of Renewable Energy Sources in the World in the Section of Wind and Solar Energy” – Mechanics and Technologies.

  • 2021: “Express Methods and Procedures for Determination of the Main Egg Quality Indicators” – TEM Journal.

  • 2020: “Methodology for Conducting an Optimization Experiment for Harvesting Dry Short-Stalked Grain Crops” – IOP Conference Series: Earth and Environmental Science.

  • 2019: “Approach for Egg Defects Assessment Using Image Analysis” – Annals of DAAAM and Proceedings of the International DAAAM Symposium.

  • 2019: “Design and Performance of an Automatic Egg Sorting System Based on Computer Vision” – TEM Journal.

  • 2018: “An Indirect Approach for Egg Weight Sorting Using Image Processing” – Journal of Food Measurement and Characterization.

  • 2013: “Express Method and Device for Definition of Potato Tubers Parameters” – Bulgarian Journal of Agricultural Science.

 

Lucas Franco | Precision agriculture | Best Researcher Award

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Mr. Lucas Franco | Precision agriculture | Best Researcher Award

Mr. Lucas Franco, Universidade Federal de São Carlos, Brazil

Lucas is a Senior Developer at iDtrust, specializing in financial solutions with technologies like Java, Python, AWS, and Agile methodologies. He holds a Master’s in Computer Science from UFSCar, focusing on AI-driven drone route optimization for precision agriculture. Lucas also has expertise in automation and data analysis, with experience in the agricultural and industrial sectors. He has worked on projects with Embrapa/Qualcomm and Inselli Engenharia & Ciência Aplicada, contributing to automation and intelligent systems development. Passionate about learning and research, he is skilled in programming, machine learning, and cloud computing. 💻🤖🚁

Publication Profile

Google Scholar

Education and Academic Background

Lucas Franco holds a Master’s degree in Computer Science from UFSCar (2017-2019), where he conducted research on optimizing drone routes for precision agriculture using AI, under the guidance of Prof. Dr. Edilson Kato. He earned his Bachelor’s degree in Computer Science from UniSeb (2012-2015) and a degree in Industrial Automation Technology from IFSP (2009-2011). Lucas also completed a technical course in Industrial Automation at CEFET in 2008. His academic background equips him with a strong foundation in computer science, automation, and innovative technology applications. 🚁🤖💡

Professional Experience

Lucas Franco is currently a Senior Developer at iDtrust (2018-present), creating financial solutions using Java, Python, AWS Cloud, and Agile Scrum methodology. From 2016 to 2018, he worked on the Embrapa/Qualcomm project, focusing on drone technology for precision agriculture, image processing, and system configuration. He also taught Digital Circuits at Domênico Technical School (2016). Between 2010-2016, Lucas worked as a Systems Analyst at Inselli Engenharia, conducting research in automation, gas leak detection, embedded systems, software testing, and database management. He also assisted in automation courses at IFSP. 🤖📊💻

Qualifications

Lucas Franco has strong qualifications in Computer Science, proficient in programming languages such as Java, Python, R, MATLAB/SCILAB, C/C++, and Delphi. He has experience with AWS Cloud services, machine learning, data processing, and SQL database management, alongside embedded system development in Linux. In Industrial Automation, he excels in research and development, PLC programming, instrumentation, communication protocols, and bench testing with industrial equipment. Personally, Lucas possesses strong logical reasoning, teamwork skills, interpersonal relationships, and a passion for self-learning, research, and knowledge sharing. He is always eager to contribute and enhance team knowledge. 🤖📚

Research Focus

Lucas dos Santos Franco’s research primarily focuses on drone technology and precision agriculture. His work explores flight path optimization for multirotor Unmanned Aerial Vehicles (UAVs) using Ant Colony Optimization (ACO), a metaheuristic algorithm, to enhance agricultural applications. This research aims to improve aerial coverage in farming practices, optimizing efficiency and reducing operational costs. Additionally, his expertise in machine learning, data processing, and cloud computing complements his research in automation, especially for systems involving UAVs, remote sensing, and georeferencing. His contributions support technological advancements in agriculture and automation. 🌾🤖📡

Publication Top Notes

Publication: “A method for planning multirotor Unmanned aerial vehicle flight paths to cover areas using the Ant Colony Optimization metaheuristic”
Cited by: ERR Kato, RS Inoue, L dos Santos Franco
Year: 2025
📚🌍

Jjiajun Hu | Agricultural | Best Researcher Award

Published on by Global Academic Awards

Assoc Prof Dr  Jjiajun Hu |  Agricultural  |  Best Researcher Award

Associate Professor at  Shanghai University, China

Jiajun Hu is an Associate Professor at Shanghai University’s School of Life Sciences, where he also serves as a researcher at the Shanghai Key Laboratory of Bio-Energy Crops. He received his Doctor’s degree in Environmental Engineering from Tongji University, focusing his research on environmental microbial technology. Dr. Hu’s work spans various aspects of environmental science, including microbial CO2 fixation, waste biomass recycling, and soil remediation. He has authored over 110 papers, with recent contributions in leading journals highlighting his expertise in biochar applications, groundwater remediation, and innovative approaches to environmental challenges.

 

profile

 

Education:

  • Ph.D. in Environmental Engineering, Tongji University, 2012
  • M.Sc. in Biochemical Engineering, East China University of Science and Technology, 2009
  • B.Sc. in Biotechnology, Hefei University of Technology, 2006

Research Interests:

Environmental microbial technology, microbial CO2 fixation, recycling of waste biomass, soil remediation.

Research Focus: Agricultural Research

Dr. Jiajun Hu, as an Associate Professor at Shanghai University’s School of Life Sciences and a researcher at the Shanghai Key Laboratory of Bio-Energy Crops, specializes in agricultural research. His work primarily revolves around enhancing agricultural productivity and sustainability through innovative practices. Dr. Hu’s research interests include:

  • Microbial Technology in Agriculture: Developing microbial solutions for enhancing soil fertility, nutrient cycling, and crop health.
  • Bio-Energy Crops: Studying biochar applications, waste biomass utilization, and their impact on agricultural productivity and sustainability.
  • Soil Remediation: Investigating methods to improve soil quality, reduce pollution, and optimize agricultural land use.

His dedication to advancing agricultural technologies aims to address global food security challenges and promote environmentally friendly farming practices.

Citation:

  • Citations: 1,193
  • Documents: 886
  • h-index: 19

Publication Top Notes:

  • In-situ targeted removal of naphthalene from groundwater by peroxymonosulfate activation using molecularly imprinted activated carbon: Efficacy, mechanism and applicability
    • Authors: Bo Zhang, Dai C., Li J., Li Z., Hon Leong K.
    • Journal: Separation and Purification Technology, 2024, 348, 127730
    • Summary: This article likely explores the effectiveness, mechanisms, and practical applications of using molecularly imprinted activated carbon to remove naphthalene from groundwater using peroxymonosulfate activation.
  • Activated carbon/persulfate-driven in-situ remediation of naphthalene-polluted groundwater: Insights into active sites, passivation-activation mechanisms and practical applications
    • Authors: Dai C., Zhang J.B., Zou J.J., Liang Y., Zhou L.
    • Journal: Journal of Environmental Chemical Engineering, 2024, 12(4), 113126
    • Summary: Focuses on the use of activated carbon and persulfate for in-situ remediation of naphthalene-polluted groundwater, discussing active sites, passivation-activation mechanisms, and practical applications.
  • Nanobubbles improve peroxymonosulfate-based advanced oxidation: High efficiency, low toxicity/cost, and novel collaborative mechanism
    • Authors: Zhang J.B., Zou J.J., Dai C., Leong K.H., Xu X.S.
    • Journal: Journal of Hazardous Materials, 2024, 472, 134499
    • Summary: Explores the enhancement of peroxymonosulfate-based advanced oxidation using nanobubbles, emphasizing high efficiency, low toxicity/cost, and novel collaborative mechanisms.
  • Response model between nanobubble preparation parameters and properties: Controllable preparation & its application example
    • Authors: Feng X.R., Hu J., Liu N., Han Y., Li J.
    • Journal: Journal of Water Process Engineering, 2024, 64, 105660
    • Summary: Likely discusses a response model for controlling nanobubble preparation parameters and their properties, with practical applications.
  • A novel mycelial pellet applied to remove polycyclic aromatic hydrocarbons: High adsorption performance & its mechanisms
    • Authors: Zou J.J., Dai C., Hu J., Fu R., Zhou L.
    • Journal: Science of the Total Environment, 2024, 922, 171201
    • Summary: Examines the use of a novel mycelial pellet for high-performance adsorption of polycyclic aromatic hydrocarbons, detailing the mechanisms involved.
  • Preparation of C=C polymerization-oriented magnetic protein molecularly imprinted polymer and the application for membrane flux improvement
    • Authors: Zhang Q., Hu J., Guo H., Tian Y., Ngo H.H.
    • Journal: Desalination, 2024, 573, 117206
    • Summary: Involves the preparation of a magnetic protein molecularly imprinted polymer focused on C=C polymerization and its application for improving membrane flux.