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

 

 

Jjiajun Hu | Agricultural | Best Researcher Award

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.