Manjiang Xing | Digital economy | Best Researcher Award

Prof. Manjiang Xing | Digital economy | Best Researcher Award

Qilu Institute of Technology | China

Publication Profile

Scopus

INTRODUCTION 👨‍🏫

Xing Manjiang is a distinguished academic and researcher, holding a Ph.D. and serving as a senior engineer and professor at Qilu Institute of Technology in China. He specializes in fields like Digital Economy, Digital Trade, Smart Cities, Artificial Intelligence, and E-commerce, among others. Xing is a key figure in multidisciplinary research, where his work fuses various technologies and business sectors, demonstrating leadership in both academia and the industry. His contributions span across publishing multiple research papers and securing several patents.

EARLY ACADEMIC PURSUITS 🎓

Xing Manjiang’s academic journey began with a Bachelor’s degree in Thermal and Power Engineering from North China University of Science and Technology in 2004. He later pursued a Master’s degree in Project Management at North China Electric Power University, completing it in 2019. Continuing his commitment to academia, he earned a Ph.D. in International Management (Global Business) from Kyonggi University in 2024. These academic milestones laid the foundation for his diverse contributions in both research and teaching.

PROFESSIONAL ENDEAVORS 💼

Throughout his career, Xing has held significant roles both in academia and industry. He is currently serving as a Professor at Qilu University of Technology, where he is involved in research and teaching undergraduate courses such as International Economic Cooperation and Introduction to Big Data. In addition to his academic duties, he worked as a Part-time Technical Director & Financial Director at Mingchuang Kehuan (Beijing) Technology Co. from 2021 to 2024. His industry experience includes positions as a Senior Engineer and Technician in several power generation companies, where he gained expertise in equipment management and infrastructure management.

CONTRIBUTIONS AND RESEARCH FOCUS 💡

Xing’s research primarily focuses on Digital Economy, Smart Cities, Artificial Intelligence, E-commerce, Regional Economy, and Social Efficiency. He has explored the integration of big data and AI with business strategies, such as in cross-border e-commerce and industry innovation. Xing’s ability to bridge technology with business makes his research especially impactful. He’s led several key projects, such as the Sichuan Provincial Science and Technology Department’s Key R&D Project and the China Association of Business Economics 2024 Planning Project, among others.

IMPACT AND INFLUENCE 🌍

Xing’s academic work has made a considerable impact in the fields of digital transformation and economic growth strategies. Through his research, he has contributed to enhancing urban economic efficiency by exploring the potential of smart city development. His insights into digital economy integration and smart energy have been acknowledged in major international journals, helping to advance policies and strategies related to technology and regional economic development. His participation in global trade, economic cooperation, and AI integration has solidified his influence in both academia and industry.

ACADEMIC CITATIONS AND PUBLICATIONS 📚

Xing has published numerous influential papers in well-respected journals. Notable among them is his SSCI paper in the International Review of Financial Analysis, titled “Digital Economy, Dual Innovation Capability, and Enterprise Labor Productivity”. His papers are widely cited in top journals, and he has authored and co-authored numerous works that deal with economic productivity, smart city models, and innovative technologies. His patents and edited monographs further attest to his significant academic footprint. He has also authored and edited several important papers, contributing to the broader scientific community’s understanding of digital economies and sustainable development.

HONORS & AWARDS 🏅

Xing Manjiang has earned various professional honors throughout his career. He is a Senior Member of the Chinese Society of Technology Economics and serves on expert committees such as the China Association of Trade in Services and the Shandong Green and Low-Carbon Expert Committee. His leadership in innovation and technical advancements in smart energy and green development has earned him recognition from both industry and academia.

LEGACY AND FUTURE CONTRIBUTIONS 🚀

Xing’s legacy is built on his pioneering work in integrating digital economy and smart cities with sustainability. As he continues to contribute to the academic field, he aims to further explore the potential of AI and big data in driving economic transformation. His ongoing projects will continue to shape the way we view technological solutions in business and urban development, ensuring his influence endures in the coming decades.

FINAL NOTE ✨

With a remarkable career marked by deep academic achievements, innovative contributions, and impactful leadership in multiple sectors, Xing Manjiang has solidified his position as a leading academic and researcher in the fields of digital transformation and international trade. His work continues to shape modern understanding and application of artificial intelligence, big data, and smart technologies, paving the way for future breakthroughs that will undoubtedly benefit both academia and industry.

Top Notes Publications 📚

Manjiang Xing, Chi Gong, Gyu-Hyen Moon, Xiaohong Ge
    • Title: Digital economy, dual innovation capability and enterprise labor productivity

    • Journal: International Review of Financial Analysis

    • Year: 2025

    • DOI: 10.1016/j.irfa.2025.104005

Manjiang Xing et al.
  • Title: Optimal Scheme Selection Model of Distributed Photovoltaic Consumption in Smart City Based on Gaussian Mixture Model

  • Journal: Journal of Nanoelectronics and Optoelectronics

  • Year: 2024

  • DOI: 10.1166/jno.2024.3575

Manjiang Xing et al.
    • Title: Enhancing urban economic efficiency through smart city development: A focus on sustainable transportation

    • Journal: Computers and Electrical Engineering

    • Year: 2024

    • DOI: 10.1016/j.compeleceng.2023.109058

Xing, Manjiang
    • Title: Power Information System Database Cache Model Based on Deep Machine Learning

    • Journal: Intelligent Automation & Soft Computing

    • Year: 2023

    • DOI: 10.32604/iasc.2023.034750

Manjiang Xing et al.
    • Title: Research on Smart City Competitiveness Model Based on the Integration of Digital Economy and Smart Energy

    • Journal: 무역통상학회지 (Korea Citation Index)

    • Year: 2022

    • DOI: 10.29331/JKRAIC.2022.12.22.6.277

Olivier Donfouet | intelligence artificielle | Best Scholar Award

Dr. Olivier Donfouet | intelligence artificielle | Best Scholar Award

Université de Dschang/Cameroun | Cameroon

Publication Profile

Scopus

🌍 Dr. Olivier Donfouet: Bridging Mathematics, AI, and Agriculture 🚀

INTRODUCTION 📚

Dr. Olivier Donfouet is a distinguished mathematical economist, researcher, and entrepreneur dedicated to leveraging Artificial Intelligence (AI) to transform agricultural practices in Africa. With a strong background in mathematical economics, project management, and technology-driven solutions, he has contributed significantly to both academia and industry. His expertise spans economic modeling, agricultural innovation, and AI-driven research, making him a key figure in sustainable agricultural development.

EARLY ACADEMIC PURSUITS 🎓

Dr. Donfouet’s academic journey began at Université de Dschang, where he earned a Ph.D. in Mathematical Economics. His foundational studies included a Master’s and Bachelor’s degree in the same field, equipping him with advanced skills in economic analytics, statistical modeling, and AI applications in economics. His academic excellence was complemented by hands-on experiences with data analysis software such as Stata, SPSS, and LaTeX.

PROFESSIONAL ENDEAVORS 💼

Dr. Donfouet has amassed diverse professional experiences, including:
Academic Internship at the International Center for Artificial Intelligence in Morocco
Drone Technology Training for Agricultural Innovation
Lecturing & Mentorship at Université de Dschang
Entrepreneurship in Sustainable Product Development
Active Participation in International Conferences on AI & Gender Equality

Beyond academia, he is recognized as an entrepreneur and business leader, having successfully developed eco-friendly mosquito-repellent candles—a project that earned him national recognition and innovation awards.

CONTRIBUTIONS AND RESEARCH FOCUS  ON INTELLIGENCE ARTIFICIELLE🔬

Dr. Donfouet’s research focuses on AI’s impact on agricultural productivity, gender equality, and sustainability. His notable contributions include:
🔹 Investigating AI-driven economic models for sustainable agriculture
🔹 Exploring ICT’s role in reducing undernourishment in Africa
🔹 Analyzing AI’s contribution to empowering women in agriculture
🔹 Examining AI’s effect on total factor productivity in agriculture

His innovative approach to precision agriculture and economic modeling makes his work highly relevant to policymakers, researchers, and industry leaders.

IMPACT AND INFLUENCE 🌍

Dr. Donfouet’s work extends beyond research—his influence is seen in:
Educating the next generation of economists and AI researchers
Advancing AI applications in African agriculture
Innovating sustainable solutions for economic development
Shaping policies through data-driven insights

His leadership in youth mentorship, religious associations, and AI-driven economic policies further cements his influence in both academic and community spheres.

ACADEMIC CITATIONS AND PUBLICATIONS 📝

Dr. Donfouet has contributed to leading peer-reviewed journals, including:
1️⃣ “Is Artificial Intelligence Helping to Empower Women in Agriculture in Africa?” (GeoJournal, 2024)
2️⃣ “Impact of AI on Total Productivity of Agricultural Factors in Africa” (Environment, Development and Sustainability, 2024)
3️⃣ “How Important is ICT for Reducing Undernourishment in Africa?” (Telematics and Informatics Reports, 2023)

These publications highlight the intersection of AI, economic growth, and sustainable agriculture.

HONORS & AWARDS 🏅

🏆 4th Place National Innovation Award (Ministry of Small and Medium Enterprises, Yaoundé)
🏆 3rd Place CATI2 Innovation Award (Université de Dschang)
🏆 Recognized AI Researcher at International Conferences
🏆 Leadership & Entrepreneurship Excellence in Agriculture

FINAL NOTE ✨

Dr. Olivier Donfouet is a trailblazer in mathematical economics and AI-driven agricultural solutions. His work continues to push the boundaries of economic theory, AI applications, and sustainable innovation, making him a key player in Africa’s digital agricultural revolution.

LEGACY AND FUTURE CONTRIBUTIONS 🔮

🔸 Future research on AI-driven solutions for climate-resilient agriculture
🔸 Advancing economic policies integrating AI for food security
🔸 Bridging the gap between technological innovations and agricultural practices
🔸 Mentorship programs for emerging scholars in AI & Economics

TOP NOTES PUBLICATIONS 📚

Title: Is artificial intelligence helping to empower women in agriculture in Africa?

Authors: Olivier, D., & Ibrahim, N.
Journal: GeoJournal
Year: 2024

Title: Impact of artificial intelligence on the total productivity of agricultural factors in Africa.

Authors: Donfouet, O., & Ngouhouo, I.
Journal: Environment, Development and Sustainability
Year: 2024

Title: How important is ICT for reducing undernourishment in Africa?

Authors: Domguia, E. N., Hymette, L. F. N., Nzomo, J. T., Ngassam, S. B., & Donfouet, O.
Journal: Telematics and Informatics Reports
Year: 2023

zahrasadat momeni | Game theory | Best Researcher Award

Mrs. zahrasadat momeni | Game theory | Best Researcher Award

Concordia University, Canada

👨‍🎓Professional Profile

Google Scholar Profile

📝 Summary

Mrs. Zahrasadat Momeni is a Ph.D. candidate at Concordia University, Canada, specializing in Structural Control Engineering. With advanced expertise in bridge dynamics, seismic analysis, and control systems, she designs systems that enhance bridge resilience to seismic activity. Zahrasadat’s approach combines cutting-edge software tools and AI/ML techniques to improve structural safety and performance.

🎓 Education

Zahrasadat holds a Ph.D. in Structural Control Engineering from Concordia University (2018–Present). She also completed a Post Graduate Degree in AI & Machine Learning at Purdue University (2021–2022). Prior to this, she earned her Master’s (2014–2016) and Bachelor’s (2008–2013) degrees in Civil Engineering from Sharif University of Technology and K.N.T University of Technology, respectively.

💼 Professional Experience

At Concordia University, Zahrasadat works as a Research and Analysis Specialist in Bridge Dynamics and Seismic Design. She develops advanced models to assess bridge behavior under seismic conditions and designs control systems to reduce vibrations and increase resilience. Previously, at Sharif University, she worked as a Research Assistant, where she led the seismic analysis and finite element modeling of long-span bridges.

📚 Academic Citations

Her research on bridge control systems and seismic resilience has been cited in numerous civil engineering publications. Zahrasadat continues to contribute to the academic community with ongoing work on seismic design and structural control systems.

💻 Technical Skills

Zahrasadat is proficient in structural analysis software such as SAP2000, ETABS, ABAQUS, CSiBridge, and MATLAB/Simulink. She is also skilled in Python programming and familiar with machine learning and data science tools like Jupyter Notebook and Visual Studio Code.

👩‍🏫 Teaching Experience

As a research assistant and teaching collaborator at Concordia University, Zahrasadat has provided hands-on guidance in seismic design and bridge dynamics. She has also mentored students in the use of finite element analysis and structural control systems.

🔬 Research Interests

Zahrasadat’s research interests focus on enhancing the seismic resilience of bridge structures through innovative control systems and AI/ML integration. She aims to improve bridge performance under dynamic loads and reduce the risk of collapse during seismic events.

 

📖Top Noted Publications

Intelligent control methodology for smart highway bridge structures using optimal replicator dynamic controller

Authors: Z. Momeni, A. Bagchi
Journal: Civil Engineering Journal
Year: 2023

Multi-objective control optimization of isolated bridge using replicator controller and NSGA-II

Authors: Z. Momeni, A. Bagchi
Journal: Heliyon
Year: 2023

Optimal replicator dynamic controller for semi-active control of long span cable stayed bridge with considering special variability of seismic excitations

Authors: Z. Momeni, A. Bagchi
Journal: Structures
Year: 2023