Manjiang Xing | Digital economy | Best Researcher Award

Posted on by ScienceFather

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

Abeer abdelhalim | Big Data Analytics | Best Researcher Award

Posted on by ScienceFather

Prof. Abeer abdelhalim | Big Data Analytics | Best Researcher Award

Prof. Abeer abdelhalim | Big Data Analytics – king faisal university | Saudi Arabia

Abeer M. M. Abdelhalim is a Full Professor of Accounting at King Faisal University, KSA, specializing in managerial accounting with over 30 years of academic and professional experience. He has contributed significantly to the field with numerous publications in peer-reviewed journals and has secured prestigious research grants. Prof. Abdelhalim is highly skilled in project management, scientific research, and organizing academic events. He has worked in various academic and leadership roles across multiple institutions, and his research focuses on management accounting, cost accounting, and financial disclosure. A dedicated educator, he fosters a stimulating learning environment for students and has led various training programs in accounting. His passion for continuous self-learning and development keeps him at the forefront of modern educational practices and technologies.

Profile

Orcid 

Education

Prof. Abeer M. M. Abdelhalim earned his Bachelor’s in Accounting in 1995 from the Faculty of Commerce, Suez Canal University, Egypt. He then completed his Master’s in Cost & Managerial Accounting in 2000, followed by a Ph.D. in Managerial Accounting in 2006 from the same institution. His academic background laid the foundation for his distinguished career in both teaching and research. Prof. Abdelhalim’s education has empowered him to contribute significantly to the field of accounting, particularly in managerial and cost accounting, through various publications and applied research. His educational journey continues to inspire his teaching and consultancy work today.

Professional Experience

Prof. Abdelhalim has held several key positions throughout his career. Currently, he is a Full Professor of Accounting at King Faisal University, KSA, where he has also served as an Associate Professor and Assistant Professor. Prior to this, he worked at Imam University and Suez Canal University, where he taught various accounting and financial subjects. He has designed and implemented numerous accounting systems and led educational development projects. Additionally, Prof. Abdelhalim has extensive experience in training and consultancy, having conducted numerous workshops and courses in financial and managerial accounting. His leadership roles include heading committees in strategic planning, accreditation, and student affairs.

Awards and Recognition

Prof. Abeer M. M. Abdelhalim has earned several prestigious awards throughout his career. Notably, he won the First Place in Economic Studies from Prince Rashid bin Humid for Culture and Sciences in 2018. He also received the Distinguished Publication Award from the Scholarly Council at King Faisal University in 2023 for his significant contributions to research. His work in academia and research has been widely recognized, making him a leading figure in his field. His dedication to excellence in teaching and research continues to earn him accolades and recognition from both academic institutions and professional organizations.

Research Skills

Prof. Abdelhalim possesses advanced skills in scientific research, particularly in the fields of managerial and cost accounting. He has authored numerous articles in high-impact journals and has a strong track record of securing research grants. His research interests include financial reporting, digital transformation in accounting, big data analytics, and corporate sustainability. Prof. Abdelhalim is highly skilled in conducting applied research that addresses practical challenges in the accounting profession, particularly in relation to modern technologies such as blockchain and artificial intelligence. He is also experienced in leading research teams and contributing to global academic conferences.

Publications

From the Internet of Things to the Internet of Ideas: The Role of Artificial Intelligence
👤 Abeer Abdelhalim | 📖 Springer International Publishing | 🌍 2023 | DOI: 10.1007/978-3-031-17746-0 | ISBN: 9783031177453, 9783031177460 | ISSN: 2367-3370, 2367-3389 🌟🎓

The Moderating Role of Digital Environmental Management Accounting in the Relationship between Eco-Efficiency and Corporate Sustainability
👤 Abeer Abdelhalim | 📖 Sustainability | 🌍 2023 | April 23 | 🌟🎓💼

The Influence of Audit Committee Chair Characteristics on Financial Reporting Quality
👤 Abeer Abdelhalim, Abdalwali Lutfi, Saleh Zaid Alkilani, Mohamed Saad, Malek Hamed Alshirah, Ahmad Farhan Alshirah, Mahmaod Alrawad, Malak Akif Al-Khasawneh, Nahla Ibrahim | 📖 Journal of Risk and Financial Management | 🌍 2022 | November 29 | DOI: 10.3390/jrfm15120563 🌟🎓💼

The Relationship between Risk Disclosure and Firm Performance: Empirical Evidence from Saudi Arabia
👤 Abeer Abdelhalim | 📖 The Journal of Asian Finance, Economics and Business | 🌍 2021 | June 30 | DOI: 10.13106/JAFEB.2021.VOL8.NO6.0255 🌟🎓💼

Xiaobin Ling | Data Science | Best Researcher Award

Posted on by ScienceFather

Dr. Xiaobin Ling | Data Science | Best Researcher Award

UMass Medical School | United States

Publication Profile

Orcid

👨‍🔬 Summary

Dr. Xiaobin Ling is a Postdoctoral Researcher at the RNA Therapeutics Institute, UMass Medical School, specializing in lncRNA structure and Cryo-EM. With a Ph.D. in Structural Biology from Fudan University, his work focuses on the mechanisms of RNA structures, molecular biology, and biophysics, with a strong emphasis on cryo-electron microscopy (Cryo-EM).

🧑‍🏫 Current Position

Postdoctoral Researcher
RNA Therapeutics Institute, UMass Medical School (2024–Present)

  • Research on RNA structures, particularly long non-coding RNAs (lncRNAs).
  • Focus on Cryo-EM techniques to elucidate RNA structural dynamics.

🎓 Education

Ph.D. in Structural Biology (2017–2023)
Fudan University, Shanghai, China

  • Research: Mechanisms and regulation of microRNA biogenesis and lncRNA structure.
    Master’s in Chemical Biology (2013–2016)
    Xiamen University, Xiamen, China
  • Research: Drug mechanisms targeting nuclear receptors.
    B.Sc. in Biotechnology (2008–2013)
    Jinggangshan University, Ji’an, China

💼 Professional Experience

Senior Research Assistant (2022–2023)
Cryo-EM Core Facility, Sichuan University, China

  • Managed operations for Titan Krios G3i, Talos Arctica G2, and JEOL1400 microscopes.
  • Applied Cryo-EM techniques for structural research.

Structural Biologist Researcher (2021–2022)
Runjia Pharmaceutical Technology Co., Ltd, Shanghai, China

  • Investigated ADAR inhibitors and their functions.

Research Assistant (2016–2017)
South University of Science and Technology of China, Shenzhen, China

  • Focused on microRNA biogenesis and its regulation.

📚 Academic Publications

Dr. Ling has authored numerous peer-reviewed publications in top journals, including Nature, Nature Structural & Molecular Biology, and Cell Reports. Notable works include:

  1. Cryo-EM structure of a natural RNA nanocage (Nature, 2025)
  2. Circularly permuted group II introns and their mechanisms (Nature Structural & Molecular Biology, 2025)
  3. Human telomeric G-quadruplex DNA binding (BBA – Gene Regulatory Mechanisms, 2023)
  4. ADAR inhibitors and their function (prepint, 2022)

💡 Technical Skills

  • Cryo-EM: Expertise in cryo-electron microscopy for RNA and protein structural analysis.
  • RNA Structure Analysis: Proficient in the study of RNA folding and dynamics.
  • Molecular Biology: Strong background in RNA and DNA manipulation, including G-quadruplexes and microRNA biogenesis.
  • Computational Tools: Skilled in structural bioinformatics and molecular modeling.

👨‍🏫 Teaching Experience

Dr. Ling has contributed to academic training and mentoring at multiple institutions, particularly in structural biology and RNA research.

🔬 Research Interests On Data Science

  • Structural biology of RNA molecules, focusing on lncRNAs and their roles in gene regulation.
  • Application of Cryo-EM to explore the structural dynamics of RNA and protein complexes.
  • Investigating RNA-related therapeutic strategies, including the use of RNA nanocages and RNA-based drug delivery systems.

 📚 Top Notes Publications

Cryo-EM structure of a natural RNA nanocage
    • Authors: Xiaobin Ling*, Dmitrij Golovenko, Jianhua Gan, Jinbiao Ma*, Andrei A. Korostelev*, Wenwen Fang*
    • Journal: Nature
    • Year: 2025 (accepted)
Structures of a natural circularly permuted group II intron reveal mechanisms of branching and back-splicing
    • Authors: Xiaobin Ling*, Yuqi Yao*, Jinbiao Ma*
    • Journal: Nature Structural & Molecular Biology
    • Year: 2025
The mechanism of UP1 binding and unfolding of human telomeric G-quadruplex DNA
    • Authors: Xiaobin Ling#, Yuqi Yao#, Lei Ding, Jinbiao Ma*
    • Journal: Biochimica et Biophysica Acta (BBA) – Gene Regulatory Mechanisms
    • Year: 2023
DHX9 resolves G-quadruplex condensation to prevent DNA double-strand breaks
    • Authors: Juan Chen#, Xiaobin Ling#, Youshan Zhao#, Sheng Li, Manan Li, Hailian Zhao, Xianguang Yang, Chun-kang Chang, Jinbiao Ma*, Yuanchao Xue*
    • Journal: preprint
    • Year: 2022
Phytochrome B inhibits the activity of phytochrome-interacting factor 7 involving phase separation
    • Authors: Yu Xie, Wenbo Liu, Wenjing Liang, Xiaobin Ling, Jinbiao Ma, Chuanwei Yang, Lin Li*
    • Journal: Cell Reports
    • Year: 2023
Modular characterization of SARS-CoV-2 nucleocapsid protein domain functions in nucleocapsid-like assembly
    • Authors: Yan Wang#, Xiaobin Ling#, Jian Zou, Chong Zhang, Bingnan Luo, Yongbo Luo, Xinyu Jia, Guowen Jia, Minghua Zhang, Junchao Hu, Ting Liu, Yuanfeiyi Wang, Kefeng Lu, Dan Li, Jinbiao Ma*, Cong Liu*, Zhaoming Su*
    • Journal: Molecular Biomedicine
    • Year: 2023

 

Mohammad Reza Ahangari | Big Data Analytics | Best Researcher Award

Posted on by ScienceFather

Mr. Mohammad Reza Ahangari | Big Data Analytics | Best Researcher Award

Mr. Mohammad Reza Ahangari at ministry of education, Iran

👨‍🎓 Profile

🧠 Early Academic Pursuits

Dr. Mohammad Reza Ahangari’s journey into the realm of mathematics began with his undergraduate studies at Isfahan University of Technology, where he pursued a Bachelor of Applied Mathematics from 2003 to 2008. This foundational education provided him with a solid grounding in mathematical theories and applications. Following his undergraduate studies, Dr. Ahangari continued his academic journey at Azad University in Mashhad, Razavi Khorasan, earning a Master of Applied Mathematics between 2009 and 2012. His master’s program allowed him to delve deeper into complex mathematical concepts and research methodologies. His quest for knowledge did not end there; he embarked on a PhD in Applied Mathematics at Payam-e-Noor University, which he pursued from 2016 to 2024. His doctoral research focused on advanced mathematical models and optimization techniques, further cementing his expertise in the field.

💼 Professional Endeavors

Since September 2009, Dr. Ahangari has been a dedicated Mathematics Teacher with the Ministry of Education in Mashhad, Razavi Khorasan, Iran. Over the past 15 years, he has demonstrated a profound commitment to fostering a positive learning environment. His teaching approach is characterized by innovative lesson plans that cater to diverse learning styles, ensuring that all students have the opportunity to excel. Dr. Ahangari has consistently utilized various teaching methodologies and educational technologies to enhance student engagement and understanding of complex mathematical concepts. His ability to create engaging and effective learning experiences has made him a respected figure in the educational community.

🔬 Contributions and Research Focus

Dr. Ahangari’s research has made significant contributions to the field of applied mathematics. His work includes the development and application of advanced mathematical models and optimization techniques. Notably, he co-authored the paper “A Generalized Optimization-Based Generative Adversarial Network,” published in Expert Systems with Applications in 2024. This research explores innovative approaches to optimization in generative adversarial networks, demonstrating Dr. Ahangari’s expertise in integrating mathematics with cutting-edge technology. Additionally, his work on fuzzy-based structural similarity indices in meteorology, as detailed in his paper “Utilizing Generative Adversarial Networks Using a Category of Fuzzy-Based Structural Similarity Indices for Constructing Datasets in Meteorology,” showcases his ability to apply mathematical theories to real-world problems. His research contributions reflect a deep understanding of both theoretical and practical aspects of mathematics.

🏆 Accolades and Recognition

Dr. Ahangari’s dedication to mathematics education and research has been recognized through various accolades. He earned his Mathematics Teacher Certification in 2024, a testament to his expertise and commitment to the field. In 2023, he participated in professional development programs focused on advancing mathematics education, further highlighting his commitment to staying at the forefront of educational practices. His research contributions have also been acknowledged through publications in esteemed journals and presentations at significant seminars, such as the 6th Seminar on Control & Optimization in Birjand, Iran.

🌟 Impact and Influence

Dr. Ahangari’s impact on mathematics education extends beyond his teaching role. His innovative curriculum development and creation of interactive learning modules have significantly enhanced the educational experience for his students. His commitment to nurturing critical thinking and problem-solving skills in students has prepared them for future academic and professional challenges. By integrating advanced mathematical concepts with practical applications, Dr. Ahangari has influenced both his students and the broader educational community.

🌱 Legacy and Future Contributions

Looking forward, Dr. Ahangari aims to continue his contributions to both mathematics education and research. His ongoing projects include the development of a comprehensive math curriculum guide and the creation of interactive math learning modules. These initiatives reflect his dedication to enhancing educational resources and methodologies. As he continues to advance his research and educational practices, Dr. Ahangari is poised to leave a lasting legacy in the field of mathematics. His work not only advances mathematical knowledge but also inspires future generations of students and educators.

📖 Publications

Manganese doped La0.8Ba0.2FeO3 perovskite oxide as an efficient electrode material for supercapacitor

    • Authors: Asadi, F., Ahangari, M., Mostafaei, J., Asghari, E., Niaei, A.
    • Journal: Journal of Alloys and Compounds
    • Year: 2024

A generalized optimization-based generative adversarial network

    • Authors: Farhadinia, B., Ahangari, M.R., Heydari, A., Datta, A.
    • Journal: Expert Systems with Applications
    • Year: 2024

Utilizing Generative Adversarial Networks Using a Category of Fuzzy-Based Structural Similarity Indices for Constructing Datasets in Meteorology

    • Authors: Farhadinia, B., Ahangari, M.R., Heydari, A.
    • Journal: Mathematics
    • Year: 2024

Effect of Pd doping on the structural properties and supercapacitor performance of La0.8Sr0.2Cu0.7Mn0.3O3 and La0.8Sr0.2Cu0.4Mn0.6O3 as electrode materials

    • Authors: Ahangari, M., Mostafaei, J., Zakerifar, H., Asghari, E., Niaei, A.
    • Journal: Electrochimica Acta
    • Year: 2023

Machine learning-based life cycle optimization for the carbon dioxide methanation process: Achieving environmental and productivity efficiency

    • Authors: Sayyah, A., Ahangari, M., Mostafaei, J., Nabavi, S.R., Niaei, A.
    • Journal: Journal of Cleaner Production
    • Year: 2023

Investigation of structural and electrochemical properties of SrFexCo1-xO3-δ perovskite oxides as a supercapacitor electrode material

    • Authors: Ahangari, M., Mostafaei, J., Sayyah, A., Delibas, N., Niaei, A.
    • Journal: Journal of Energy Storage
    • Year: 2023

Application of SrFeO3 perovskite as electrode material for supercapacitor and investigation of Co-doping effect on the B-site

    • Authors: Ahangari, M., Mahmoodi, E., Delibaş, N., Asghari, E., Niaei, A.
    • Journal: Turkish Journal of Chemistry
    • Year: 2022

Xianzhe Duan – Big Data Analytics – Best Researcher Award

Posted on by ScienceFather

Assoc Prof Dr Xianzhe Duan - Big Data Analytics - Best Researcher Award 

University of South  -  China

Author Profile 

Early Academic Pursuits

Assoc Prof Dr. Duan Xianzhe began his academic journey at Hebei University of Geosciences, China, where he earned his Bachelor's degree in Geology in June 2008. Subsequently, he pursued a Ph.D. at the Institute of Geology and Geophysics, Chinese Academy of Sciences, completing his doctoral studies in July 2014.

Professional Endeavors

Since December 2016, Assoc Prof Dr.Duan has been serving as an Associate Professor at the University of South China, and he took on the role of Director of the Geology Department in December 2020. His commitment to international collaboration is evident from his time as a Visiting Fellow at the Research School of Earth Sciences, Australian National University, from December 2016 to December 2017.

Contributions and Research Focus

Assoc Prof Dr. Duan's research is characterized by a diverse range of topics within the field of Geology. Notably, he has made substantial contributions to understanding uranium species in deep groundwater, nuclide migration in geological disposal of high-level radioactive wastes, creep behavior of deep granite tunnels, volcanic CO2 flux prediction, and in situ U-Pb dating of rutile and titanite in gold deposits.

Accolades and Recognition

His dedication and proficiency in teaching have earned him several accolades, including the title of Excellent Teacher of South China University in 2023, and the second prize in the National Geological Course Teaching Competition for Young University Teachers in 2021.

Impact and Influence

Assoc Prof Dr. Duan's impact is not confined to academia; he actively participates in various professional bodies and committees, including membership in The Innovation Center for Geological Disposal of High-level Radioactive Waste of China Atomic Energy Agency and The Nuclear Geology Committee of Geological Society of China.

Legacy and Future Contributions

With over 10 national and provincial research projects, 50 scientific research papers, 6 patents, and numerous teaching achievements, Assoc Prof Dr. Duan has built a substantial legacy. His future contributions are poised to further enhance the understanding of geological processes, especially in the realms of uranium behavior, nuclide migration, and deep geological repository design.

In conclusion, Assoc Prof Dr. Duan Xianzhe's comprehensive academic background, international exposure, and significant research contributions make him a compelling candidate for the International Research Awards, particularly in the Best Researcher Award category.

Notable  Publications