Lei Li | Environmental Data Analysis | Best Researcher Award

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Prof. Lei Li | Environmental Data Analysis | Best Researcher Award

Tianjin University | China

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✅ Suitability Summary

Prof. Li’s background seamlessly blends practical industry expertise with academic rigor. His early career at PetroChina provided him with hands-on experience in petroleum exploration, which he has effectively translated into his academic roles. His long-standing commitment to teaching and research in seismic interpretation positions him as a valuable contributor to petroleum geoscience education and innovation. His ability to bridge theoretical knowledge with real-world application makes him especially suited for advancing research in subsurface geology and reservoir prediction.

📘 Education & Experience

Prof. Lei Li received his Bachelor of Science degree in Applied Geophysics from Southwest Petroleum University in 2001. He continued his postgraduate studies at the China University of Petroleum (Beijing), earning a Master’s degree in Geology in 2007, followed by a Ph.D. in Petroleum Geosciences in 2010. Professionally, he began his career as a Research Assistant at the Northwest Branch of the Research Institute of Petroleum Exploration and Development (PetroChina) from 2001 to 2005. In 2010, he joined Xi’an Shiyou University as a Teaching Assistant and has since progressed to the position of Professor in the School of Earth Sciences and Engineering, where he has served since 2019.

📈 Professional Development

Throughout his academic journey, Prof. Lei Li has demonstrated a clear trajectory of growth and contribution. He transitioned from the petroleum industry into academia, bringing practical insights into the classroom and research lab. His focus on teaching seismic interpretation has equipped a new generation of geoscientists with critical skills. His advancement from Teaching Assistant to full Professor reflects his dedication to both teaching excellence and impactful research, as well as his leadership within the university’s Earth Sciences faculty.

🔬 Research Focus

Prof. Li’s research interests lie at the intersection of sedimentology and seismic analysis. His primary focus areas include seismic geomorphology, deep-water sedimentation, and reservoir prediction. Additionally, he has a strong interest in tidal sedimentation systems. His work aims to improve the interpretation of complex subsurface structures and contribute to more accurate hydrocarbon reservoir characterization, with a particular emphasis on deep-water environments—an increasingly significant area in global energy exploration.

🏆 Honors & Awards

No specific honors or awards were listed in the current biography. However, Prof. Li’s promotion to full professorship and his continued presence in leading academic and research roles at Xi’an Shiyou University speak to his professional recognition and contributions within the field of petroleum geosciences.

📚 Selected Publication

Seismic geomorphology and sedimentary architectures of mass transport deposits: Cases from Pearl River Mouth Basin and Niger Delta Basin

Authors: L. Lei, L. Bin, W. Yingmin
Journal: Journal of Central South University (Science and Technology)
Year: 2013

Identification and evolution of mass transport complexes and its significance for oil and gas exploration

Authors: L. Lei, W. Yingmin, Z. Lianmei
Journal: Acta Sedimentologica Sinica
Year: 2010

Deep-water gravity flow depositional elements and depositional systems in passive margin: Case studies in deep-water areas of Niger Delta and Baiyun Sag

Authors: L. Lei, W. Yingmin, X. Qiang
Journal: Pearl River Mouth Basin
Year: 2012

Sedimentary patterns and structural control across toe thrust belts, Niger Delta

Authors: Li Lei, W. Yingmin, Z. Lianmei
Journal: Earth Science (Journal of China University of Geosciences)
Year: 2008

Bankfull discharge as a key control on submarine channel morphology and architecture: Case study from the Rio Muni Basin, West Africa

Authors: L. Li, C. Gong, R.J. Steel
Journal: Marine Geology
Year: 2018

Arnobio Palacios Gutiérrez | Data analysis and climatology | Best Researcher Award

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Mr. Arnobio Palacios Gutiérrez | Data analysis and climatology | Best Researcher Award

Complutense University of Madrid | Spain

Publication Profile

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📘 Education & Experience

Arnobio Palacios Gutiérrez is a dedicated academic and researcher with a strong interdisciplinary background in mathematics, physics, and statistics. He earned his Bachelor’s degree in Mathematics and Physics from the Technological University of Chocó (Colombia), followed by a Master’s degree in Engineering Data Analysis, Process Improvement, and Decision-Making from the Polytechnic University of Valencia (Spain). Currently, he is pursuing a PhD in Data Analysis at the Complutense University of Madrid, focusing on climate change pattern recognition through time series clustering. With over a decade of professional experience, Arnobio has served as a university professor and researcher at UTCH, contributing significantly to curriculum design, institutional planning, and data-driven development initiatives.

✅ Suitability Summary

Arnobio combines academic rigor with practical field experience, making him highly suitable for roles in data science, research, and public policy innovation. His ability to model complex problems, analyze multidimensional data, and generate decision-support frameworks positions him as a valuable asset in both academic and applied research contexts. His teaching portfolio includes courses in calculus, differential equations, physics, and advanced statistics, complemented by experience in strategic planning, consulting, and public innovation at the national level in Colombia. He is a collaborative leader who thrives in multidisciplinary environments and maintains a strong commitment to social impact and educational excellence.

🎓 Professional Development

Throughout his career, Arnobio has pursued continuous professional growth. He was awarded the prestigious Young Researcher Fellowship by the Colombian Ministry of Science and actively engages in national development projects. His technical proficiency includes R programming, database management, statistical analysis, and scientific writing. As a consultant and planner, he has developed strategic indicators and improvement plans for institutions and contributed to the design of public innovation strategies. His leadership in academia and his ability to manage complex projects reflect his organizational and analytical strengths.

🔬 Research Focus

Arnobio’s research centers on the development of new methodologies for identifying climate change patterns using time series clustering with dimensionality reduction techniques. His doctoral work aims to enhance understanding of environmental change through data science, while his Master’s thesis applied multivariate analysis to explore socio-demographic and development indicators across more than a thousand Colombian municipalities. His interests extend to public sector innovation, production systems management, and biodiversity valuation—areas where he integrates statistical modeling with sustainable development goals.

🏆 Honors & Awards

Among Arnobio’s recognitions is the Young Researcher Award from the Colombian Ministry of Science, highlighting his early promise in scientific investigation. He has also been honored as a Multiplier Leader by Future Colombia for his active role in social initiatives and cultural heritage projects. His leadership in regional innovation, environmental analysis, and educational advancement continues to shape policy and academic discussions both in Colombia and internationally.

📚 Top Notes Publication

Title: Quantifying Impact of Geographical Variables on Climate Change Patterns over Spain by Time Series Clustering

    • Authors: Arnobio Palacios-Gutiérrez; Jose Luis Valencia-Delfa; María Villeta

    • Journal: Earth Systems and Environment

    • Year: 2025

Title: Identification of extreme temperature and precipitation patterns in Spain based on multiscale analysis of time series

    • Authors: Arnobio Palacios-Gutiérrez; Jose Luis Valencia-Delfa; María Villeta

    • Journal: Natural Hazards

    • Year: 2025

Title: Time series clustering using trend, seasonal and autoregressive components to identify maximum temperature patterns in the Iberian Peninsula

    • Authors: Arnobio Palacios Gutiérrez; Jose Luis Valencia Delfa; María Villeta López

    • Journal: Environmental and Ecological Statistics

    • Year: 2023

Title: Identification of precipitation and maximum temperature patterns in Spain during 1951 to 2021 using clustering based on multiscale analysis of time series

    • Authors: Arnobio Palacios Gutiérrez; Jose Luis Valencia Delfa

    • Journal: Preprint (EGU General Assembly)

    • Year: 2023

Title: Time Series Clustering using Trend, Seasonal and Autoregressive Components: Patterns of Change of Maximum Temperature in Iberian Peninsula

    • Authors: Arnobio Palacios Gutiérrez; Jose Luis Valencia Delfa

    • Journal: Publications of the Institute of Geophysics, Polish Academy of Sciences; Geophysical Data Bases, Processing and Instrumentation

    • Year: 2022

Nan Hu | Genome editing | Best Researcher Award

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Dr. Nan Hu | Genome editing | Best Researcher Award

Tarim University | China

Publication Profile

Scopus

Education & Experience 📚

Dr. Nan Hu is a distinguished academic and technical leader at Tarim University, where he serves as a lecturer at the College of Horticulture and Forestry. He has been recognized by the Henan Provincial Department of Education for his academic leadership and technical contributions. Dr. Hu is also the deputy director of the Key Laboratory of Facility Agriculture in Southern Xinjiang and heads the Vegetable Science discipline at Tarim University. His extensive experience in both teaching and research has contributed greatly to the growth and development of the university’s academic programs and scientific achievements.

Suitability Summary ✅

Dr. Hu’s expertise positions him as a key leader in the fields of plant genetics and horticulture. His work in tomato lateral branch development and plant genome editing aligns perfectly with both current agricultural challenges and future innovation needs. As a research leader and educator, he has demonstrated exceptional skills in bridging scientific research with practical applications, making him highly suitable for advancing crop development and agricultural technologies.

Professional Development 📜

Dr. Nan Hu has continuously advanced in his professional career, overseeing research projects funded by major Chinese institutions, including the National Natural Science Foundation of China and the China Postdoctoral Science Foundation. His leadership has helped propel the scientific community’s understanding of plant biology, especially in relation to horticulture. His role in talent development and support, such as managing projects within the Populus Euphratica Outstanding Youth Science and Technology Talent Support Program, further demonstrates his commitment to nurturing future generations of scientists.

Research Focus 🔬

Dr. Hu’s research primarily focuses on tomato lateral branch development, the regulation of apical dominance, and the application of genome editing technologies in plants. His innovative studies aim to enhance tomato crop yield and plant architecture, which has a direct impact on agricultural productivity. Furthermore, his work in improving germplasm resources through genetic modifications contributes to increasing the diversity and quality of crops. His groundbreaking research in plant genome editing also holds potential for revolutionizing agricultural practices.

Honors & Awards 🏆

Dr. Nan Hu has been recognized for his outstanding contributions to the field of horticulture. His research includes a highly cited paper published in leading journals such as Trends in Biotechnology and New Phytologist. In addition to his academic recognition, he has been honored by the Henan Provincial Department of Education for his leadership in both education and research. Dr. Hu has also secured prestigious research funding, including grants from the National Natural Science Foundation of China and the China Postdoctoral Science Foundation, underscoring his standing as a leading figure in his field.

📚 Top Notes Publication

Article Title: SlMYC2-SlMYB12 module orchestrates a hierarchical transcriptional cascade that regulates fruit flavonoid metabolism in tomato

Authors: H. Deng, M. Wu, Y. Wu, D. Grierson, M. Liu
Journal: Plant Biotechnology Journal
Year: 2025

Article Title: A vacuolar invertase gene SlVI modulates sugar metabolism and postharvest fruit quality and stress resistance in tomato

Authors: Y. Wu, H. Chen, M. Wu, Y. Wang, M. Liu
Journal: Horticulture Research
Year: 2025

Article Title: pHNRhCas9NG, single expression cassette-based dual-component dual-transcription unit CRISPR/Cas9 system for plant genome editing

Authors: N. Hu, R. Peng, F. Yan
Journal: Trends in Biotechnology
Year: 2025

Article Title: Genome-wide analyses of member identification, expression pattern, and protein–protein interaction of EPF/EPFL gene family in Gossypium

Authors: P. Li, Z. Zhao, W. Wang, Q. Lú, Y. Yuán
Journal: BMC Plant Biology
Year: 2024

Sina Rezaei | Data Analysis | Best Researcher Award

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Mr. Sina Rezaei | Data Analysis | Best Researcher Award

University of Tehran | Iran

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Biography of Mr. Sina Rezaei 📚

📚 Passionate Photogrammetry & 3D Reconstruction Specialist

Sina Rezaei is an innovative researcher currently pursuing his M.Sc. in Photogrammetry at the University of Tehran. With a strong foundation in Surveying Engineering, Sina’s academic journey focuses on the application of photogrammetry, 3D modeling, and remote sensing in the preservation of cultural heritage and geospatial analysis. His work is aimed at enhancing 3D reconstruction using spherical cameras and photogrammetry techniques, combining both scientific research and technology.

🎓 Education

Sina holds a B.Sc. in Surveying Engineering from the University of Tehran, where he achieved an impressive GPA of 3.72/4. He ranked among the top students in his class, showcasing his academic excellence. He is currently pursuing an M.Sc. in Photogrammetry at the same institution, with a focus on 3D Reconstruction of cultural heritage structures. His thesis examines the use of spherical cameras and photogrammetry techniques to improve accuracy in cultural preservation.

🔬 Research Interests

Sina’s research interests lie at the intersection of photogrammetry, computer vision, and 3D modeling. He is particularly interested in remote sensing, machine learning, and data analysis. His goal is to push the boundaries of image processing and optimization techniques to improve the accuracy and efficiency of 3D reconstruction methods, especially in the context of cultural heritage conservation and geospatial engineering.

🔧 Research & Work Experience

Sina has worked extensively in the field of photogrammetry and remote sensing. He is currently augmenting GNSS devices with visual positioning systems using photogrammetry solutions and implementing Structure from Motion (SFM) and Bundle Adjustment (BA) algorithms. In his Research Intern role at i3mainz, he focused on 3D reconstruction using spherical cameras, DSLR cameras, and laser scanners. Additionally, he contributed to the super-resolution of Sentinel-2 satellite data for urban sprawl analysis.

👨‍🏫 Teaching Experience

Sina has also gained valuable teaching experience as a Teaching Assistant for several courses at the University of Tehran, including Photogrammetric Data Acquisition, Data Collection from Images, and Technical English. His teaching role reflects his dedication to sharing his knowledge and passion for photogrammetry with the next generation of students.

🖥️ Selected Course Projects

During his academic career, Sina has worked on a variety of technical projects, including Photogrammetry Calculations, where he optimized stereo and aerial images using Python. He has also implemented optimization algorithms and image matching techniques using fuzzy logic in Soft Computing and worked on satellite image processing and radiometric corrections in his Remote Sensing Laboratory.

🏅 Honors & Awards

Sina has earned multiple honors during his academic journey, including being ranked 5th among 40 students in the College of Surveying and Geospatial Engineering at the University of Tehran. He is a proud member of the Iran’s National Elites Foundation, which granted him direct admission into the M.S. degree program. He has also earned certificates from Stanford University and DeepLearning.AI for completing courses in Supervised Machine Learning and Advanced Learning Algorithms.

📚 Top Notes Publications

Evaluation of Network Design and Solutions of Fisheye Camera Calibration for 3D Reconstruction

    • Authors: Sina Rezaei, Hossein Arefi

    • Journal: Sensors

    • Year: 2025

Quality Analysis of 3D Point Cloud Using Low-Cost Spherical Camera for Underpass Mapping

    • Authors: Sina Rezaei, Angelina Maier, Hossein Arefi

    • Journal: Sensors

    • Year: 2024

Jun Wang | Artificial Intelligence | Best Researcher Award

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Assoc Prof Dr. Jun Wang | Artificial Intelligence | Best Researcher Award

Henan University | China

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👨‍🏫 INTRODUCTION

Assoc Prof Dr. Jun Wang is a distinguished academic at the School of Artificial Intelligence, Henan University. His expertise spans computer vision, intelligent robotics, and medical image processing. Through his pioneering research and educational contributions, Dr. Wang has had a significant impact on both academic circles and industrial advancements. He is recognized for his ability to bridge the gap between theoretical research and real-world applications, particularly in areas like robot path planning and salient object detection.

📚 EARLY ACADEMIC PURSUITS

Dr. Wang’s academic journey started with a strong passion for artificial intelligence and robotics. His early studies in machine learning and image processing laid the groundwork for his future research endeavors. His relentless pursuit of knowledge and curiosity in these fields led him to advance his education and make groundbreaking contributions that would later shape his successful career.

💼 PROFESSIONAL ENDEAVORS

As an Associate Professor, Dr. Wang has made invaluable contributions to both the academic and professional realms. He has taught courses such as programming, embedded systems, robotics, and computer vision, nurturing the next generation of engineers. His professional endeavors also extend beyond the classroom, as his innovations in robotics and AI have led to multiple successful collaborations with industry, enhancing both technological development and practical applications.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS

Dr. Wang’s primary research interests focus on computer vision, intelligent robotics, and medical image processing. His groundbreaking work has resulted in several cutting-edge algorithms, especially in the areas of salient object detection and robot path planning. His research is not only focused on solving theoretical challenges but also on providing practical solutions for real-world problems, particularly in healthcare and automation.

🌍 IMPACT AND INFLUENCE

Dr. Wang’s influence is far-reaching, both in academia and industry. His research has had a direct impact on robotics, AI technologies, and medical imaging, contributing to the development of advanced tools and systems. As a mentor, Dr. Wang has also inspired numerous students, leading them to win national and provincial robotics competitions, further cementing his role as a key figure in shaping the future of robotics and AI.

📑 ACADEMIC CITATIONS AND PUBLICATIONS

Dr. Wang’s extensive research has been widely published in prestigious journals such as Applied Intelligence, Neural Computing & Applications, and Multimedia Tools & Applications. Some of his key publications include:

  • Wang, J., Yang, Q., Yang, S. et al. Dual-path Processing Network for High-resolution Salient Object Detection. Appl Intell 52, 12034–12048 (2022).

  • Wang, J., Zhao, Z., Yang, S. et al. Global Contextual Guided Residual Attention Network for Salient Object Detection. Appl Intell 52, 6208–6226 (2022).
    His research continues to be cited globally, making him a leading figure in the fields of computer vision and robotics.

🏆 HONORS & AWARDS

Dr. Wang’s dedication to teaching and research has earned him numerous awards and honors throughout his career. His accolades include recognition from Henan Provincial Science and Technology Department and the National Natural Science Foundation of China. Additionally, he has been acknowledged for his role as an award-winning instructor, guiding students to victories in national and provincial robotics competitions.

🌟 LEGACY AND FUTURE CONTRIBUTIONS

Dr. Wang is leaving a lasting legacy through his continued research and innovative contributions. His current and future work promises to significantly impact the fields of robotics and AI, with a particular focus on medical imaging and robot interaction. Dr. Wang’s efforts ensure that his influence will continue for years to come, shaping the direction of future technological advancements in these fields.

💬 FINAL NOTE

Assoc Prof Dr. Jun Wang’s groundbreaking work in artificial intelligence, robotics, and medical image processing is a testament to his commitment to advancing technology and improving society. His research, mentorship, and innovations have not only enhanced academic knowledge but also practical applications across industries. As his legacy continues to inspire the next generation of researchers, Dr. Wang’s future contributions will undoubtedly continue to make a significant impact on the world.

TOP NOTES PUBLICATIONS 📚

Exploring Class-Agnostic Pixels for Scribble-Supervised High-Resolution Salient Object Detection

    • Authors: Jun Wang

    • Journal: Neural Computing and Applications

    • Year: 2022

Depth Enhanced Cross-Modal Cascaded Network for RGB-D Salient Object Detection

    • Authors: Jun Wang

    • Journal: Neural Processing Letters

    • Year: 2022

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

Zaiyang Xie | text analysis | Young Researcher Award

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Assoc Prof Dr. Zaiyang Xie | text analysis | Young Researcher Award

Zhejiang University of Technology | China

PUBLICATION PROFILE

Scopus

INTRODUCTION 🌟

XIE ZAIYANG is an Associate Professor at the School of Management, Zhejiang University of Technology. She holds a Doctorate in Management and has a strong academic background with degrees from Nankai University and Jinan University. Her academic pursuits have earned her recognition in the field, including being a recipient of various prestigious awards. She is also a graduate student supervisor and actively contributes to the academic community with her extensive research in corporate strategy, internationalization, and digital innovation management.

EARLY ACADEMIC PURSUITS 🎓

XIE ZAIYANG completed her Doctorate in Management from Nankai University in December 2020, after which she also pursued postdoctoral studies. Her Ph.D. research was conducted in collaboration with Jinan University (a national public scholarship). She began her academic career at Zhejiang University of Technology in December 2020, where she serves as a faculty member in the Department of Business Administration and as the class advisor for the 2102 Business Administration class.

PROFESSIONAL ENDEAVORS 💼

Currently, XIE ZAIYANG is an Associate Professor in the Department of Business Administration, where she teaches, researches, and leads several significant academic projects. She is a member of the Academy of Management (AOM), the Academy of International Business (AIB), and the International Association for Chinese Management Research (IACMR). XIE ZAIYANG has also contributed as a reviewer for numerous academic journals, ensuring the quality of publications in her field.

CONTRIBUTIONS AND RESEARCH FOCUS 🔍

Her main research focuses include corporate strategy, internationalization, digital innovation management, and the governance of multinational corporations. She has secured several national and provincial-level research grants, leading projects on globalization, de-globalization, and corporate innovation, among others. XIE ZAIYANG’s studies have had a considerable influence on how businesses understand strategic decision-making and innovation in an increasingly interconnected and rapidly changing global environment.

IMPACT AND INFLUENCE 🌐

XIE ZAIYANG has published more than 30 papers in renowned journals such as the Journal of World Business, Technological Forecasting and Social Change, and Journal of Business Research. Her research has made a significant impact in the academic community, receiving numerous citations and awards. Notably, her work on the dynamics of multinational enterprises and innovation strategies has contributed to the advancement of corporate governance theory and practice.

ACADEMIC CITATIONS AND PUBLICATIONS 📚

XIE ZAIYANG’s academic work has been widely cited and published in both international and Chinese journals. Some of her notable works include:

  • Returnee managers as an asset for emerging market multinational enterprises (Journal of World Business, 2022)

  • Big data and emerging market firms’ innovation in an open economy (Technological Forecasting and Social Change, 2021)

  • US-China Decoupling and the Chinese Firms’ Real Option to Defer R&D Investment (Journal of World Business, 2025)

In addition to her journal articles, she has authored several books and monographs on corporate governance and international business strategy.

HONORS & AWARDS 🏆

XIE ZAIYANG has been recognized with several prestigious awards, including the “National Top 100 Cases” award and the Zhejiang Provincial Outstanding Research Case award. She has also received numerous accolades for her teaching and research efforts, such as national and provincial-level research grants and awards for excellence in case studies. Her research has been selected for inclusion in the “China Management Case Sharing Center (CMCC)” and other important academic repositories.

LEGACY AND FUTURE CONTRIBUTIONS 🌱

XIE ZAIYANG’s contributions to the academic field have laid the groundwork for future research on multinational enterprises, innovation strategies, and the evolution of corporate governance in China and beyond. Her ongoing work continues to influence the development of strategic management theories, particularly in the context of globalization and digital transformation. As a mentor and researcher, she aims to continue advancing knowledge in the intersection of global business strategy and innovation management.

FINAL NOTE 📅

XIE ZAIYANG is a dedicated scholar and educator who has made significant contributions to the field of management studies. Her work on strategic management, innovation, and corporate governance provides valuable insights for both scholars and practitioners. As she continues to lead impactful research, her legacy will shape the future of international business strategy and management.

TOP NOTES PUBLICATIONS 📚 

Returnee managers as an asset for emerging market multinational enterprises: Chinese cross-border acquisitions (2008–2017)

    • Authors: Xie Z.Y., Wang L.

    • Journal: Journal of World Business

    • Year: 2022

Big data and emerging market firms’ innovation in an open economy: The diversification strategy perspective

    • Authors: Xie Z.Y., Wang J., Miao L.

    • Journal: Technological Forecasting and Social Change

    • Year: 2021

Relationships between fluctuations of environmental regulation, technological innovation, and economic growth: A multinational perspective

    • Authors: Xie Z.Y., Qu L., Lin R.H., et al.

    • Journal: Journal of Enterprise Information Management

    • Year: 2021

US-China Decoupling and the Chinese Firms’ Real Option to Defer Overall but R&D Investment

    • Authors: Shao L., Xie Z.Y.*, Qiu Y.X., Wang L.

    • Journal: Journal of World Business

    • Year: 2025

The Rise of Female Board Representation in China as a Glocalization Process (2010-2018)

    • Authors: Wang L., Xie Z.Y.*, Majid Abdi, et al.

    • Journal: Journal of Business Research

    • Year: 2024

Tengteng Zhuang | Higher Education | Best Researcher Award

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Assist Prof Dr. Tengteng Zhuang | Higher Education | Best Researcher Award

Beijing Normal Univerity | China

PUBLICATION PROFILE

Orcid

📚 INTRODUCTION

Assist. Prof. Dr. Tengteng Zhuang is a distinguished academic at Beijing Normal University in China, specializing in various fields related to higher education, engineering education, and the collaboration between industries and universities. His research focuses on advancing the professional development of university educators, the learning and growth of students, and the intersection of education policies and real-world application. With a robust background in education administration and policy, Dr. Zhuang has significantly contributed to shaping educational practices, particularly in China’s higher education system.

🎓 EARLY ACADEMIC PURSUITS

Dr. Zhuang’s academic journey began with his undergraduate studies at Nanjing University of Posts and Telecommunications, where he earned a Bachelor’s degree in Engineering in 2010. This foundation in engineering set the stage for his deep interest in education, prompting him to pursue a Master’s degree in Education from Beijing Normal University. He furthered his education by obtaining a Ph.D. in Education from the Chinese University of Hong Kong, where he specialized in educational administration and policy, completing his doctoral studies in 2020.

💼 PROFESSIONAL ENDEAVORS

Dr. Zhuang’s professional career includes significant roles at top academic institutions. He has served at Beijing Normal University’s Institute of Higher Education since 2021, focusing on the research and development of higher education strategies. Prior to this, he worked at the People’s Public Security University of China, where he made substantial contributions to teaching and academic research. His teaching roles have covered a broad range of subjects, including higher education administration, educational development, and quantitative research methods at the master’s level, with a particular focus on international students.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS

Dr. Zhuang’s research primarily revolves around the fusion of industry and education, the professional development of university educators, and student growth in contemporary higher education. He has also dedicated significant effort to exploring how engineering education can be modernized in China through systemic reforms, focusing on creating impactful educational environments that align closely with industry needs. His work also touches on comparative higher education, with a particular emphasis on China’s higher education system and the global dynamics influencing it.

🌍 IMPACT AND INFLUENCE

Dr. Zhuang’s research has had a profound impact on Chinese higher education, especially in relation to the integration of industry within academic settings. His work in “university-industry collaborations” has provided critical insights into how these partnerships can be optimized to improve educational outcomes for students and meet the demands of a rapidly evolving job market. His books and journal articles on these topics have been influential in both academic and policy-making circles, helping bridge the gap between educational theory and practical implementation in engineering and STEM fields.

📑 ACADEMIC CITATIONS AND PUBLICATIONS

Dr. Zhuang has a prolific record of academic publications, with several articles in high-impact journals such as Studies in Higher Education, Asia Pacific Journal of Education, and Journal of Educational Research. His published works span a broad spectrum of subjects, from educational policy and industry collaborations to the development of professional teaching practices. Notably, his monographs, Modernizing China’s Undergraduate Engineering Education through Systematic Reforms and Engineering Teaching in China’s Higher Education, have received widespread recognition in the academic community. He has contributed to various book chapters and conference proceedings as well.

🏅 HONORS & AWARDS

Throughout his career, Dr. Zhuang has been recognized for his excellence in both research and teaching. In 2023, he was honored with the title of Outstanding Mentor at Beijing Normal University. In 2020, he received the prestigious Postgraduate Research Output Award from the Chinese University of Hong Kong. Dr. Zhuang’s academic prowess has also earned him full scholarships during his doctoral studies, further cementing his place as a leading figure in his field. His qualifications and achievements reflect his commitment to advancing educational theory and practice.

💡 LEGACY AND FUTURE CONTRIBUTIONS

Dr. Zhuang’s future contributions are poised to further shape the landscape of higher education, particularly in China’s engineering and technology sectors. His ongoing research in university-industry collaboration and the professional development of faculty members continues to be at the forefront of educational innovation. With a clear focus on creating a sustainable, quality-driven educational ecosystem, Dr. Zhuang’s legacy is one of bridging the gap between academia and industry while preparing students for the challenges of a rapidly evolving global workforce.

📝 FINAL NOTE

Dr. Tengteng Zhuang stands as a leading expert in the intersection of higher education, industry collaboration, and educational reform. His research, teaching, and publications contribute to shaping the future of engineering education in China and beyond. His commitment to enhancing the quality of higher education and fostering international collaboration ensures that his influence will be felt for years to come.

📚 TOP NOTES PUBLICATIONS 

Competent fish in little ponds: Testing the relationship between academic achievement and social-emotional skills

    • Authors: Jieping Shi, Tengteng Zhuang

    • Journal: International Journal of Educational Research

    • Year: 2025

Modernizing higher education with industrial forces in Asia: a comparative study of discourse of university-industry collaboration in China, Japan, and Singapore

    • Authors: Tengteng Zhuang, Misao Oh, Keiko Kimura

    • Journal: Asia Pacific Education Review

    • Year: 2025-03

What affects the teaching agency of university instructors? A social realist perspective

    • Authors: Tengteng Zhuang, Alan C. K. Cheung, Wilfred W. F. Lau, Yang Su

    • Journal: Asia Pacific Journal of Education

    • Year: 2025-03-15

Ushering in industrial forces for teaching-focused university-industry collaboration in China: a resource-dependence perspective

    • Authors: Tengteng Zhuang, Haitao Zhou, Qintao Sun

    • Journal: Studies in Higher Education

    • Year: 2024-12

Engagement, determinants and challenges: a multinational systematic review of education-focused university-industry collaborations

    • Authors: Tengteng Zhuang, Jieping Shi

    • Journal: Educational Review

    • Year: 2024-07-28

Yue Xin | inventory management | Women Researcher Award

Posted on by Research Data Analysis

Dr. Yue Xin | inventory management | Women Researcher Award

Ocean university of chain | China

PUBLICATION PROFILE

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📝 Summary

Dr. Yue Xin is a dedicated researcher currently pursuing a Ph.D. in Probability Theory and Mathematical Statistics at China People’s University. His academic work focuses on time series analysis, data-driven decision-making, and inventory management strategies. With numerous published papers in top-tier SCI-indexed journals, he has gained recognition for his innovative contributions to mathematical modeling, particularly in financial markets and environmental science.

🎓 Education

Dr. Yue completed his Bachelor’s in Information and Computational Science from Shandong University, earning a GPA of 87.9/100. He is currently pursuing his Ph.D. at China People’s University with an impressive GPA of 3.84/4, specializing in Probability Theory and Mathematical Statistics. Additionally, he spent a year as a joint Ph.D. student at Nanyang Technological University in Singapore, enhancing his global academic exposure.

💼 Professional Experience

Dr. Yue has participated in several high-profile research projects, contributing to areas such as missile defense strategies, game theory, and underwater confrontation analysis. He played a key role in modeling and solving critical problems using differential game theory. His collaboration with top researchers and institutions has honed his expertise in both theoretical and applied mathematics.

📚 Academic Citations & Publications

Dr. Yue has published several influential papers in prominent journals like the Journal of Computational and Applied Mathematics and Applied Mathematics and Computation. His work includes advanced topics like maximum likelihood estimation, uncertain autoregressive models, and the valuation of options in uncertain fractional-order environments. His papers are highly cited in the academic community, reflecting the impact of his research.

🔧 Technical Skills

Dr. Yue is proficient in multiple programming languages and software tools, including Python, Matlab, R, and C++. He is skilled in using LaTeX for scientific writing and is also well-versed in Microsoft Office. His expertise extends to statistical analysis, machine learning, and developing data-driven models for complex decision-making in finance and risk management.

👨‍🏫 Teaching Experience

With a passion for teaching, Dr. Yue has served as a teaching assistant for various courses, such as Mathematical Modeling, Game Theory, Probability Theory, and Higher Algebra. He has also assisted in courses on Big Data Analysis and Supply Chain Management, where he shares his extensive knowledge and fosters a dynamic learning environment.

🔬 Research Interests

Dr. Yue’s research interests lie in the fields of time series analysis, differential equations, and data-driven decision-making. He focuses on the development of innovative models for inventory management and risk assessment, and his work is particularly relevant to financial market analysis and environmental forecasting. He is dedicated to applying mathematical techniques to real-world problems.

📚 Top Notes Publications 

Maximum likelihood estimation for uncertain autoregressive moving average model with application in financial market

    • Authors: Y Xin, J Gao, X Yang, J Yang

    • Journal: Journal of Computational and Applied Mathematics

    • Year: 2023

Orthogonal series method for uncertain nonparametric regression with application to carbon dioxide emissions

    • Authors: Y Xin, J Gao

    • Journal: Communications in Statistics-Simulation and Computation

    • Year: 2024

Power-barrier option pricing formulas in uncertain financial market with floating interest rate

    • Authors: H Zhao, Y Xin, J Gao, Y Gao

    • Journal: AIMS Math

    • Year: 2023

Time series prediction method for multi-source observation data

    • Authors: X Gao, Y Xin, J Yang

    • Journal: International Journal of General Systems

    • Year: 2024

Regional express delivery network planning: A location-routing model and two-tier adaptive GA

    • Authors: W Li, Y Xin, G Yang

    • Journal: Information Sciences

    • Year: 2025

Estimation of parameters and valuation of options written on multiple assets described by uncertain fractional differential equations

    • Authors: Y Xin, Y Zhang, I Noorani, F Mehrdoust, J Gao

    • Journal: Applied Mathematics and Computation

    • Year: 2025

xian Zhang | Geosciences | Best Researcher Award

Posted on by Research Data Analysis

Dr. xian Zhang | Geosciences | Best Researcher Award

Hunan University of Finance and Economics | China

 PUBLICATION PROFILE

Scopus

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INTRODUCTION 🧑‍🏫

Dr. Xian Zhang is a distinguished academic in the field of information technology and management, currently serving as a Lecturer at the School of Information Technology and Management, Hunan University of Finance and Economics since 2023. With a robust educational background and a strong research profile, Dr. Zhang has made significant contributions to the field of electromagnetic data processing and signal identification. His research spans a wide range of topics, particularly focusing on the processing of magnetotelluric data and noise elimination methods.

EARLY ACADEMIC PURSUITS 🎓

Dr. Zhang embarked on his academic journey with a focus on computer science and engineering. He earned his D.D. from Shaoyang University in 2016, followed by an M.D. from Hunan Normal University in 2019. His academic pursuits culminated in a Ph.D. from Central South University in 2022, laying a strong foundation for his future research endeavors. These early years of study instilled in him a deep understanding of data analysis and computational methods, which he later applied to his work on electromagnetic data.

PROFESSIONAL ENDEAVORS 💼

Since 2023, Dr. Zhang has been contributing to the academic community as a Lecturer at the School of Information Technology and Management, Hunan University of Finance and Economics. His professional career has been characterized by a commitment to both teaching and groundbreaking research. In his role, he imparts knowledge to future professionals in the field, shaping the next generation of experts in data analysis and information technology.

CONTRIBUTIONS AND RESEARCH FOCUS 🔬

Dr. Zhang’s research is centered on signal processing, with a particular emphasis on magnetotelluric and electromagnetic data. His work on separating magnetotelluric signals, utilizing advanced computational techniques like composite multiscale dispersion entropy and orthogonal matching pursuit, has garnered recognition within the scientific community. Additionally, his exploration of machine learning techniques, such as grey wolf optimization and detrended fluctuation analysis, has brought innovative approaches to electromagnetic signal identification and noise reduction.

IMPACT AND INFLUENCE 🌍

Dr. Zhang’s research has not only advanced the field of electromagnetic signal processing but also impacted the methods used in geophysics, specifically in noise elimination and feature extraction from complex data sets. His work has influenced both theoretical developments and practical applications in geophysical exploration. Furthermore, his interdisciplinary approach bridges the gap between data science, physics, and engineering, offering insights into improving electromagnetic signal processing technologies.

ACADEMIC CITATIONS AND PUBLICATIONS 📚

Dr. Zhang’s scholarly contributions are well-documented in numerous peer-reviewed journals. His work has been published in prestigious journals, including Earth Planets and Space, Acta Geophysica, Oil Geophysical Prospecting, Machine Learning: Science and Technology, and Geophysical Prospecting. His notable journal articles cover a wide range of topics, from noise removal techniques to advanced signal processing methods using machine learning algorithms. These publications have significantly contributed to the body of knowledge in the areas of signal processing and geophysical exploration.

HONORS & AWARDS 🏆

Dr. Zhang’s exceptional research efforts have been recognized with various accolades, including the prestigious Hunan Xiaohe Science and Technology Talent Award in 2024. This recognition underscores his outstanding contributions to science and technology, particularly in the realm of geophysical data processing and electromagnetic signal analysis. His work continues to inspire and influence future research in these fields.

LEGACY AND FUTURE CONTRIBUTIONS 🔮

As Dr. Zhang continues to develop his research and academic career, his contributions to signal processing and electromagnetic data analysis are expected to have lasting effects on both academia and industry. His future work is poised to further bridge the gap between theoretical research and practical applications, particularly in environmental monitoring, resource exploration, and technological advancements in data processing. His legacy will be defined by his ability to solve complex scientific problems and inspire innovation in data-driven technologies.

FINAL NOTE 📝

Dr. Xian Zhang’s career reflects a deep commitment to advancing the field of electromagnetic signal processing. His impressive academic background, coupled with his ongoing professional contributions, solidifies his role as a leading figure in his field. With a growing portfolio of research, honors, and impactful publications, Dr. Zhang’s work continues to push the boundaries of what is possible in data analysis and signal processing. His future endeavors are sure to influence both academia and practical applications across various industries.

TOP NOTES PUBLICATIONS 📚

Controlled-source electromagnetic noise attenuation via a deep convolutional neural network and high-quality sounding curve screening mechanism

    • Authors: Yecheng Liu, Diquan Li, Jin Li, Xian Zhang

    • Journal: GEOPHYSICS

    • Year: 2025

Noise Elimination for Wide Field Electromagnetic Data via Improved Dung Beetle Optimized Gated Recurrent Unit

    • Authors: Zhongyuan Liu, Xian Zhang, Diquan Li, Shupeng Liu, Ke Cao

    • Journal: Geosciences

    • Year: 2025

Coordinate Attention-Temporal Convolutional Network for Magnetotelluric Data Processing

    • Authors: Jin Li, Hong Cheng, Jiayu Wang, Xian Zhang, Jingtian Tang

    • Journal: IEEE Transactions on Geoscience and Remote Sensing

    • Year: 2024

Intelligent processing of electromagnetic data using detrended and identification

    • Authors: Xian Zhang, Diquan Li, Bei Liu, Yanfang Hu, Yao Mo

    • Journal: Machine Learning: Science and Technology

    • Year: 2023

Deep structure of the Rongcheng geothermal field, Xiongan New Area: Constraints from resistivity data and boreholes

    • Authors: Yunqi Zhu, Diquan Li, Yanfang Hu, Xian Zhang, Fu Li, Feng Ma, Guiling Wang

    • Journal: Geothermics

    • Year: 2023