Manjiang Xing | Digital economy | Best Researcher Award

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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

Omar Haddad | Artificial Intelligence | Best Researcher Award

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Dr. Omar Haddad l Artificial Intelligence | Best Researcher Award

MARS Research Lab, Tunisia

Author Profile

Google Scholar

🎓 Early Academic Pursuits

Dr. Omar Haddad began his academic journey with a solid foundation in mathematics, earning his Bachelor in Mathematics from Mixed High School, Tataouine North, Tunisia, in 2008. Building on this, he pursued a Fundamental License in Computer Science at the Faculty of Sciences of Monastir, University of Monastir, Tunisia, graduating with honors in 2012. He further honed his skills in advanced topics through a Research Master in Computer Science specializing in Modeling of Automated Reasoning Systems (Artificial Intelligence) at the same institution, completing his thesis on E-Learning, NLP, Map, and Ontology in 2016. This laid the groundwork for his doctoral studies in Big Data Analytics for Forecasting Based on Deep Learning, which he completed with highest honors at the Faculty of Economics and Management of Sfax, University of Sfax, Tunisia, in 2023.

💼 Professional Endeavors

Currently, Dr. Haddad is an Assistant Contractual at the University of Sousse, Tunisia, where he contributes to the academic and technological growth of the institution. He is a dedicated member of the MARS Research Laboratory at the University of Sousse, where he collaborates on cutting-edge projects in Artificial Intelligence and Big Data Analytics. His professional expertise extends to teaching across various levels, including preparatory, license, engineer, and master levels, with over 2,000 hours of teaching experience in state and private institutions.

📚 Contributions and Research Focus

Dr. Haddad’s research spans several transformative domains, including:

  • Artificial Intelligence (AI) and its application in solving complex problems.
  • Machine Learning (ML) and Deep Learning (DL) for advanced predictive modeling.
  • Generative AI and Large Language Models (LLMs) for innovation in Natural Language Processing (NLP).
  • Big Data Analytics for informed decision-making and forecasting.
  • Computer Vision for visual data interpretation and insights.

He has published three significant contributions in Q1 and Q2 journals and participated in Class C conferences, highlighting his commitment to impactful and high-quality research.

🌟 Impact and Influence

As a peer reviewer for prestigious journals like The Journal of Supercomputing, Journal of Electronic Imaging, SN Computer Science, and Knowledge-Based Systems, Dr. Haddad ensures the integrity and quality of academic contributions in his field. His work has influenced a diverse range of domains, from computer science education to applied AI, establishing him as a thought leader in his areas of expertise.

🛠️ Technical Skills

Dr. Haddad possesses a robust set of technical skills, including:

  • Proficiency in Deep Learning frameworks and Big Data tools.
  • Expertise in programming languages such as Python and C.
  • Knowledge of Database Engineering and algorithms.
  • Application of Natural Language Processing (NLP) in academic and industrial projects.

👨‍🏫 Teaching Experience

Dr. Haddad has an extensive teaching portfolio, covering a wide range of topics:

  • Database Engineering, Algorithms, and Programming, taught across license and engineer levels.
  • Advanced topics such as Big Data Frameworks, Foundations of AI, and Object-Oriented Programming.
  • Specialized courses on Information and Communication Technologies in Teaching and Learning.

His dedication to education is evident in his ability to adapt teaching strategies to different academic levels and institutional needs.

🏛️ Legacy and Future Contributions

Dr. Haddad’s legacy lies in his ability to bridge academia and industry through innovative research and teaching. As he continues to expand his expertise in Generative AI and LLMs, his future contributions will likely shape the next generation of intelligent systems and predictive analytics. His goal is to inspire students and researchers to harness the transformative potential of AI and Big Data to address global challenges.

🌐 Vision for the Future

Dr. Omar Haddad envisions a future where AI and Big Data technologies are seamlessly integrated into various sectors to enhance decision-making, foster innovation, and empower global communities. By combining his teaching, research, and technical skills, he aims to leave a lasting impact on the academic and technological landscape.

📖 Top Noted Publications
Toward a Prediction Approach Based on Deep Learning in Big Data Analytics
    • Authors: O. Haddad, F. Fkih, M.N. Omri
    • Journal: Neural Computing and Applications
    • Year: 2022
A Survey on Distributed Frameworks for Machine Learning Based Big Data Analysis
    • Authors: O. Haddad, F. Fkih, M.N. Omri
    • Journal: Proceedings of the 21st International Conference on New Trends in Intelligent Software Systems
    • Year: 2022
An Intelligent Sentiment Prediction Approach in Social Networks Based on Batch and Streaming Big Data Analytics Using Deep Learning
    • Authors: O. Haddad, F. Fkih, M.N. Omri
    • Journal: Social Network Analysis and Mining
    • Year: 2024
Big Textual Data Analytics Using Transformer-Based Deep Learning for Decision Making
    • Authors: O. Haddad, M.N. Omri
    • Journal: Proceedings of the 16th International Conference on Computational Collective Intelligence
    • Year: 2024

Feng Hu | Multi-modal feature recognition | Best Researcher Award

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Assoc Prof Dr. Feng Hu l Multi-modal feature recognition | Best Researcher Award

Communication University of China, China

Author Profile

Scopus

Early Academic Pursuits 🎓

Assoc. Prof. Dr. Feng Hu’s academic journey began with a deep interest in communication and information systems. He earned his Ph.D. in Communication and Information Systems from the prestigious Communication University of China (CUC), Beijing, in 2013. This educational foundation set the stage for his distinguished career in the fields of wireless communications, media convergence, and related technologies, shaping his future research and academic contributions.

Professional Endeavors and Contributions 🌐

Dr. Feng Hu is a prominent figure in the domain of 5G/6G wireless communications, and his professional journey has been marked by several key roles. Since December 2018, he has been an Associate Professor at Communication University of China and a master tutor, where he plays a significant role in mentoring future engineers and researchers. He has also been an active member of the Working Group of Radio, Film, and Television Administration for Wireless Interactive Radio and Television, as well as a member of the Working Group of 5G Broadcast. These positions have allowed him to contribute to the development and regulation of cutting-edge technologies in the media and communications sector.

Research Focus and Impact 🔬

Dr. Hu’s research interests lie in the development of transmitting and receiving techniques for 5G and 6G wireless communications. His work focuses on optimizing wireless communication systems, utilizing machine learning, and exploring optimization theory to enhance the efficiency and performance of modern communication technologies. His research has significant implications for the advancement of wireless communication systems, contributing to the global transition to next-generation technologies and improving communication capabilities in various sectors.

Technical Skills and Expertise ⚙️

Dr. Hu is highly skilled in the areas of wireless communications, machine learning, and optimization theory. His expertise includes developing novel algorithms and techniques for 5G/6G systems, addressing challenges in data transmission, signal processing, and system optimization. He is proficient in applying advanced mathematical models and machine learning approaches to improve communication systems’ performance, reliability, and security, making him a key player in advancing the state-of-the-art in wireless communications.

Teaching Experience and Mentorship 🍎

As an Associate Professor and master tutor, Dr. Hu is deeply involved in shaping the next generation of professionals in communication and information systems. He has taught a variety of undergraduate and graduate-level courses, imparting his knowledge in wireless communications, machine learning, and optimization. His mentorship extends beyond the classroom, guiding students in research and academic pursuits, while fostering a culture of innovation and critical thinking in the field of communications.

Legacy and Future Contributions 🌱

Dr. Hu’s legacy is rooted in his pioneering work in the development of 5G/6G wireless communication systems and his significant contributions to the academic and professional communities. Looking ahead, he aims to continue pushing the boundaries of wireless communication technologies, with a particular focus on optimizing next-generation communication networks and integrating machine learning approaches to improve system efficiencies. His future contributions will likely influence both academic research and practical implementations in the rapidly evolving fields of wireless communications and media convergence.

Academic Citations and Recognition 🏆

Dr. Feng Hu’s research has garnered recognition in top-tier academic journals and conferences in the fields of communication systems and wireless technology. His work has not only contributed to the scientific community but has also influenced industry practices and standards in wireless communication. He continues to be a sought-after figure in academic circles, providing valuable insights into the development of 5G/6G systems and machine learning applications in communications.

Professional Affiliations and Leadership 🌍

Dr. Hu is an active member of several esteemed organizations, including IEEE and the Society of Communications, where he holds the prestigious title of Senior Member. His involvement in key working groups related to wireless interactive radio and television and 5G broadcast further highlights his leadership in shaping the future of communication technologies. These affiliations enhance his ability to drive impactful research and contribute to the global dialogue on the future of communication systems.

Future Outlook and Innovation 🚀

With his vast expertise in wireless communication systems and emerging technologies, Dr. Hu’s future endeavors will focus on leading innovations in 6G communication systems, integrating artificial intelligence and machine learning to enhance system performance, and tackling the challenges posed by next-generation wireless networks. His ongoing research will play a critical role in shaping the future of global communication, advancing both academic theory and practical applications in the field.

 Top Noted Publications 📖

SDDA: A progressive self-distillation with decoupled alignment for multimodal image–text classification

Authors: Chen, X., Shuai, Q., Hu, F., Cheng, Y.
Journal: Neurocomputing
Year: 2025

EmotionCast: An Emotion-Driven Intelligent Broadcasting System for Dynamic Camera Switching

Authors: Zhang, X., Ba, X., Hu, F., Yuan, J.
Journal: Sensors
Year: 2024

 Asymptotic performance of reconfigurable intelligent surface assisted MIMO communication for large systems using random matrix theory

Authors: Hu, F., Zhang, H., Chen, S., Zhang, J., Feng, Y.
Journal: IET Communications
Year: 2024

Real-Time Multi-Service Adaptive Resource Scheduling Algorithm Based on QoE

Authors: Li, W., Li, S., Hu, F., Yin, F.
Conference: 2024 IEEE 12th International Conference on Information and Communication Networks, ICICN 2024
Year: 2024

5G RAN Slicing Resource Allocation Based on PF/M-LWDF

Authors: Hu, F., Qiu, J., Chen, A., Yang, H., Li, S.
Conference: 2024 4th International Conference on Computer Communication and Artificial Intelligence, CCAI 2024
Year: 2024