Peng Zhao | Agricultural Digitization | Best Researcher Award

Prof. Peng Zhao | Agricultural Digitization | Best Researcher Award

Prof. Peng Zhao, Taiyuan Normal University, China

Zhao Peng, born in 1973 in Taiyuan, Shanxi, is a professor, master’s supervisor, and Dean of the School of Computer Science and Technology at Taiyuan Normal University. A distinguished academic and technical leader in Shanxi Province, he is a key talent under the “Sanjin Talents” program. He serves as Deputy Director of the Shanxi Provincial Key Laboratory of Intelligent Optimization Computing and Blockchain Technology and Director of multiple research centers. He holds various leadership roles in academic and industry organizations, including President of the Shanxi Province Industry-Education Integration Promotion Association and Vice President of the Shanxi Province Computer Society. His expertise spans software engineering, big data, and blockchain technology, with over 45 research papers, 8 textbooks, and a monograph. His contributions to research, teaching, and industry collaborations have significantly impacted the technological landscape in China.

Publication Profile

Scopus

Education 🎓

Zhao Peng pursued his higher education in computer science and technology, specializing in software engineering, big data, and mobile internet. He completed his undergraduate and graduate studies at leading Chinese institutions, where he developed a strong foundation in computational research and system development. His academic journey included advanced research in blockchain technology and artificial intelligence applications. As a dedicated educator, he has contributed to national-level curriculum planning, authoring several textbooks and research monographs. His education also includes postdoctoral research in management science and engineering, where he supervised various interdisciplinary projects. Through continuous learning and collaborations with top academic institutions, he has remained at the forefront of emerging technologies, influencing education and research in China. His academic background has played a crucial role in shaping his career, enabling him to lead multiple innovative research initiatives in artificial intelligence, data analysis, and computational optimization.

Experience 🏅

With decades of experience in academia and research, Zhao Peng has held key leadership roles in prestigious institutions. He currently serves as the Dean of the School of Computer Science and Technology at Taiyuan Normal University, where he oversees research development and curriculum innovation. He has been instrumental in founding and leading various research laboratories, including the Shanxi Provincial Blockchain Technology Application Joint Laboratory. As a postdoctoral co-supervisor, he has mentored numerous students and researchers. His administrative roles extend beyond academia, as he plays an active part in the Shanxi Province Industry-Education Integration Promotion Association and the Taiyuan Federation of Industry and Commerce. His industry collaborations have led to multiple groundbreaking projects in big data, AI-driven analytics, and blockchain applications. Through his extensive experience, he has successfully bridged academia and industry, fostering technological advancements and cultivating future leaders in computing sciences.

Awards and Honors 🏆

Zhao Peng has received numerous awards and recognitions for his contributions to research, education, and industry collaborations. He was honored as a top talent under the “Sanjin Talents” program by the Shanxi Provincial Party Committee. His teaching achievements earned him the first prize in provincial-level teaching excellence. He has received funding for multiple key research projects and has been recognized for his contributions to blockchain and big data technologies. His leadership in industry-academic integration has earned him prestigious awards, solidifying his influence in China’s tech landscape. Additionally, his work on national-level textbooks and monographs has been acknowledged by academic institutions and governmental bodies. Through his research and leadership, he has significantly impacted software engineering and computational sciences, making him a key figure in technological advancements in Shanxi and beyond.

Research Focus 🔬

Zhao Peng’s research focuses on software engineering, big data, and mobile internet technologies. His work explores innovative applications of artificial intelligence, blockchain, and intelligent optimization computing. He has published extensively in SCI and EI-indexed journals, addressing key challenges in data analytics and security. His research on blockchain technology has contributed to advancements in decentralized data management, while his work in big data analytics has improved decision-making processes in various industries. He has also played a vital role in integrating AI with real-world applications, leading interdisciplinary projects that bridge technology and industry. His research extends to talent big data intelligent analysis and evaluation, enhancing workforce optimization using AI-driven solutions. With multiple patents and software copyrights, his research significantly impacts the development of intelligent computing systems and next-generation digital infrastructure. His contributions continue to shape the future of computational research and industry applications. 🚀

Publication Top Notes

LBi-DBP, an accurate DNA-binding protein prediction method based lightweight interpretable BiLSTM network

 

 

Zhandos Shynybay | Agricultural Engineering | Best Researcher Award

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.

  • 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.