Dip Patel | Data Analyst | Global Data Innovation Recognition Award

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Mr. Dip Patel | Data Analyst | Global Data Innovation Recognition Award

Vira Design LLC | United States

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INTRODUCTION 🌟

Mr. Dip Patel is a passionate and detail-oriented IT professional with a strong background in both civil engineering and information technology. With a natural flair for problem-solving and a zero-tolerance attitude toward errors, Dip is committed to delivering precise and innovative solutions in every role he undertakes. Currently based in Ashburn, Virginia, he brings creativity, dedication, and a deep desire to showcase his technical skills and knowledge in real-world applications.

EARLY ACADEMIC PURSUITS 🎓

Dip began his academic journey in civil engineering, earning a Bachelor of Engineering degree from Government Engineering College, Modasa, where he studied from May 2013 to May 2017. His strong technical foundation and analytical mindset led him to pursue a different path aligned with his growing interest in the digital world. He later obtained a Master of Science in Information Technology from the University of North America, Fairfax, VA, graduating in September 2022. This educational transition marked a pivotal point in his career, equipping him with cross-disciplinary knowledge in both structural systems and digital infrastructure.

PROFESSIONAL ENDEAVORS 💼

Dip has accumulated valuable experience in roles that showcase both his technical and analytical capabilities. Starting as an AWS Data Engineer at Vira Design, LLC in Sterling, VA (Oct 2022 – Apr 2024), he honed his skills in cloud infrastructure and data processing. His career evolved into a series of impactful Data Analyst roles at D3 Services (May – June 2024), Ramji LLC (July 2024 – Feb 2025), and again at Vira Design, LLC (Feb 2025 – Present), where he continues to contribute to intelligent data solutions. Dip’s professional network includes strong references from colleagues and supervisors such as Priyank Vira, Sunil Joshi, and Shital Patel, reflecting his reputation for reliability and innovation in the workplace.

CONTRIBUTIONS AND RESEARCH FOCUS 🔬

In addition to his work experience, Dip has demonstrated an active interest in cybersecurity and the intersection of technology with public health. His personal project, “Cyber Security in Health Sector” (June–August 2022), explored data privacy and information protection within healthcare systems, an increasingly critical issue in today’s digital age. Dip’s approach blends technical expertise with a problem-solving mindset, making him well-suited for roles that demand both innovation and strategic thinking.

IMPACT AND INFLUENCE 🌍

Through his various roles in the IT and data analytics sectors, Dip has contributed to enhancing data quality, optimizing systems, and supporting informed decision-making. His work has helped businesses streamline operations, secure sensitive information, and utilize data for strategic growth. Dip’s cross-disciplinary education and multicultural fluency (English, Gujarati, and Hindi) allow him to connect and collaborate across diverse teams and industries, making him a valuable asset in the global workforce.

ACADEMIC CITATIONS AND PUBLICATIONS 📚

While Dip has not yet published formal academic research or citations, his Cyber Security in Health Sector project stands as a testament to his independent research capability and interest in real-world technical challenges. His academic journey suggests a potential for future contributions to white papers, technical blogs, or case studies in data analytics and cybersecurity.

HONORS & AWARDS 🏅

Although formal awards are not listed, Dip has earned recognition through continued trust and re-employment by top firms such as Vira Design, LLC, highlighting his dependable performance and consistent contributions. His growing reputation in the fields of AWS data engineering and analytics demonstrates a career marked by impact and potential.

LEGACY AND FUTURE CONTRIBUTIONS 🔮

Dip Patel is a professional on the rise, with ambitions to continue exploring innovative data technologies and making meaningful contributions in cybersecurity and data science. He aims to further expand his knowledge, take on leadership roles, and drive transformation across industries through data-driven insights and secure technology systems.

FINAL NOTE ✨

Dip Patel represents the new generation of tech-savvy professionals who combine cross-functional expertise with a global perspective. With solid experience in data analytics, cloud engineering, and cybersecurity, paired with a relentless drive for perfection, he is ready to take on new challenges and make a lasting mark in the world of information technology. His journey so far reflects not only technical excellence but also the mindset of a lifelong learner and visionary thinker.

TOP NOTES PUBLICATIONS 📚

Title: Comparative Analysis of Data Visualization Tools: Tableau, Power BI & Looker

    • Authors: DB Patel

    • Journal: The Eastasouth Journal of Information System and Computer Science (ESISCS)

    • Year: 2023

Title: Reinforcement Learning in Dynamic Pricing Models for E-Commerce

    • Authors: DB Patel

    • Journal: The ES Economics And Entrepreneurship (ESEE)

    • Year: 2022

Title: Dynamic vs. Static Visualizations: Understanding Their Use Cases in Big Data Analysis

    • Authors: DB Patel

    • Journal: International Journal of Science and Research Archive

    • Year: 2022

Title: Building Scalable Business Intelligence Systems in the Cloud: A Technical Approach

    • Authors: DB Patel

    • Journal: International Journal of Science and Research Archive

    • Year: 2021

Title: Understanding the Impact of Text Analytics on Social Media Sentiment Analysis

    • Authors: DIPB Patel

    • Journal: International Journal of Scientific Research in Computer Science

    • Year: 2019

Feng Tian | Big Data Analytics | Best Researcher Award

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Prof Dr. Feng Tian | Big Data Analytics | Best Researcher Award

Hebei University of Engineering, China

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Scopus

INTRODUCTION 🌟

Prof. Dr. Feng Tian is a distinguished academic leader and researcher in the field of medical data science and bioinformatics. Currently, he serves as the Dean of the School of Medicine and the Director of the Hebei Key Laboratory of Medical Data Science at Hebei University of Engineering. His work is focused on integrating artificial intelligence with health big data, contributing significantly to the fields of bioinformatics and public health policy.

EARLY ACADEMIC PURSUITS 🎓

Dr. Tian’s academic journey began with a Bachelor’s degree in Biology from Tsinghua University, one of China’s most prestigious institutions. He pursued his Ph.D. in Bioinformatics at Tsinghua University from 2004 to 2009, where his research laid the foundation for his later contributions to the study of molecular biology and bioinformatics. His education provided him with a deep understanding of biological data analysis, which he later applied to medical research.

PROFESSIONAL ENDEAVORS 💼

Dr. Tian’s professional trajectory includes several key academic appointments. He has been a Professor at the School of Medicine, Hebei University of Engineering, since 2021. Prior to this, he gained valuable international experience as a Visiting Scholar at the National Center for Data Mining at the University of Illinois at Chicago (UIC) in 2007-2008. His career has been marked by a commitment to bridging the gap between artificial intelligence and healthcare.

CONTRIBUTIONS AND RESEARCH FOCUS 🔬

Dr. Tian’s research interests are multifaceted, focusing on the development and application of AI in health big data, bioinformatics, and public health policy. His research has greatly advanced the understanding of molecular subtyping and the minimal residual disease (MRD) mechanisms in acute lymphoblastic leukemia (ALL). By integrating multi-omics data and utilizing cutting-edge technologies, Dr. Tian has made groundbreaking contributions to the medical field, particularly in the context of cancer research and personalized medicine.

IMPACT AND INFLUENCE 🌍

Dr. Tian’s work has had a profound impact on both the scientific community and public health sectors. His AI-driven innovations in medical data analysis are paving the way for more accurate and personalized healthcare. The algorithms and platforms he has developed have not only enhanced tumor diagnosis and drug screening but also contributed to improving public health practices in China. His leadership in the field of medical data science has helped establish Hebei University of Engineering as a leading institution in AI-driven health research.

ACADEMIC CITATIONS AND PUBLICATIONS 📚

Dr. Tian has authored numerous publications in prestigious journals, with his work frequently cited by peers in the bioinformatics and medical research communities. His contributions include groundbreaking studies such as the development of a data processing system for miRNA expression profiling, as well as research into the regulatory impacts of transcription factors across species. More recently, his work has explored deep learning models for prehospital emergency classification and the molecular mechanisms of leukemia. Notable publications include:

  1. Tian F, Zhang H, Zhang X, et al. “miRAS: A Data Processing System for miRNA Expression Profiling Study.” BMC Bioinformatics, 2007.

  2. Tian F, Wu Y, Zhou Y, et al. “A New Single Nucleotide Polymorphism Genotyping Method.” Clin Chem Lab Med, 2008.

  3. Tian F, Xu W, Tian F, et al. “ETV6::ACSL6 Translocation-Driven Super-Enhancer Activation.” Haematologica, 2024.

His academic contributions continue to shape ongoing research in medical data science.

HONORS & AWARDS 🏅

Dr. Tian has been the recipient of several prestigious awards, recognizing his contributions to medical research and technology. Notable honors include:

  • First Prize, Hebei Provincial Science and Technology Progress Award, for his research on multi-omics AI algorithms in tumor diagnosis and anti-tumor drug screening (September 2024).

  • Second Prize, 2024 Invention and Entrepreneurship Achievement Award, China Association of Inventions, for his work in AI models in public health (July 2024).

  • First Prize, Hebei Medical Science and Technology Award, for his research on reducing residual risk after nucleic acid testing (May 2021).

These accolades reflect his leadership and innovation in the fields of health big data, bioinformatics, and AI applications in healthcare.

LEGACY AND FUTURE CONTRIBUTIONS 🔮

Dr. Tian’s legacy in the academic and medical fields is poised for significant growth. His ongoing research aims to further revolutionize the application of artificial intelligence in health data analysis, with an emphasis on cancer research and public health policy. His innovative work continues to shape the future of personalized medicine and healthcare, and he is dedicated to advancing his research in the coming years to further improve public health outcomes globally.

FINAL NOTE ✨

Prof. Dr. Feng Tian stands at the forefront of the intersection between artificial intelligence and healthcare. His pioneering research, leadership, and commitment to applying AI in medical data science have established him as a key figure in his field. With numerous accolades, publications, and ongoing contributions to healthcare and bioinformatics, Dr. Tian’s work continues to inspire the next generation of researchers and healthcare professionals. His legacy will undoubtedly shape the future of medical data science for years to come.

TOP NOTES PUBLICATIONS 📚

Flynet: a genomic resource for Drosophila melanogaster transcriptional regulatory networks

    • Authors: Not listed in your excerpt, but attributed to the Flynet project

    • Journal: Bioinformatics

    • Year: 2009

DL-PER: Deep Learning Model for Chinese Prehospital Emergency Record Classification

    • Authors: X. Zhang, H. Zhang, L. Sheng, F. Tian*

    • Journal: IEEE Access

    • Year: 2022

ETV6::ACSL6 translocation-driven super-enhancer activation leads to eosinophilia in acute lymphoblastic leukemia through IL-3 overexpression

    • Authors: Xu W*, Tian F*, Tai X, Song G, Liu Y, Fan L, Weng X, Yang E, Wang M, Bornhäuser M, Zhang C, Lock RB, Wong JWH, Wang J, Jing D, Mi JQ

    • Journal: Haematologica

    • Year: 2024

 PU.1 eviction at lymphocyte-specific chromatin domains mediates glucocorticoid response in acute lymphoblastic leukemia

    • Authors: Dominik Beck#,, Honghui Cao#, Feng Tian#, Yizhou Huang#, Miao Jiang, Han Zhao, Xiaolu Tai, Wenqian Xu, Hansen J Kosasih, David J Kealy, Weiye Zhao, Samuel J Taylor, Gaoxian Song, Diego Chacon-Fajardo, Yashna Walia, Meng Wang, Adam A Dowle, Andrew N Holding, Katherine S Bridge, Chao Zhang, Jin Wang, Jian-Qing Mi, Richard B Lock, Charles E. de Bock*, Duohui Jing*

    • Journal: Nature Communications

    • Year: 2024

 Single-Cell Atlas Reveals Tumorigenic Profiles and Immune Dynamics of Adrenal Incidentalomas

    • Authors: Meng Wang#, Guangmin Zheng#, Xiaoyong Hu#, Feng Tian#, Tuo Li, Zheng Zhang, Kai Gong, Shiwei Chen, Lin Yuan, Yu Qi, Lin Li, Daofu Cheng, Liu Liu, Fuqiang Liu, Yujing Sun, Xiangdong Fang, Ruxing Zhao*, Bing Liu*, Chao Zhang*

    • Journal: Advanced Science

    • Year: 2025

Spatial analysis of prehospital emergency medical services accessibility: a comparative evaluation of the GAUSS-probability two-step floating catchment area model in Handan City

    • Authors: Tian F, Lu S, Yang Z, Zhao T, Li P, Zhang H

    • Journal: Frontiers in Public Health

    • Year: 2025

Kun Li | Real-world Case Studies | Young Researcher Award

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Dr. Kun Li | Real-world Case Studies | Young Researcher Award

Shandong Daizhuang Hospital | China

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🧑‍⚕️ INTRODUCTION

DR. KUN LI is a renowned clinical medical expert and Associate Professor at Daizhuang Hospital of Shandong Province. With a career built on rigorous academic training and pioneering clinical research, he currently serves as the Director of the Neuroregulation Center. Dr. Li is widely recognized for his contributions in the fields of psychiatry, neuroimaging, and non-invasive brain stimulation. His extensive research and leadership in national scientific projects have positioned him as an influential figure in China’s mental health and neuroscience research community.

🎓 EARLY ACADEMIC PURSUITS

Dr. Kun Li laid a solid academic foundation through his studies at Gannan Medical University, Xinxiang Medical University, and Sichuan University, gaining comprehensive medical and research training. His early academic journey was marked by a deep interest in psychiatric neuroscience, which became the cornerstone of his future research pursuits.

🏥 PROFESSIONAL ENDEAVORS

Professionally, Dr. Li has risen to a prestigious role as Associate Professor and Director of the Neuroregulation Center at Daizhuang Hospital of Shandong Province. In this role, he oversees multiple neuromodulation projects, clinical trials, and interdisciplinary collaborations. His leadership extends to administrative, educational, and research initiatives, making substantial contributions to both clinical practice and scientific innovation.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS

Dr. Li’s research focuses on noninvasive brain stimulation, mental illnesses (notably obsessive-compulsive disorder, depression, and schizophrenia), and brain imaging. His involvement spans several major research projects funded by prominent institutions including the National Natural Science Foundation of China, Henan and Shandong Provincial Departments of Science and Technology, and Peking University Neuroscience Labs. His studies have explored rTMS, chrono-rhythm-based interventions, cerebellar connectomics, and biomarkers for mental health disorders, with a particular emphasis on adolescent mental health and early diagnosis.

🌍 IMPACT AND INFLUENCE

Through his interdisciplinary research, Dr. Li has significantly influenced the landscape of psychiatric treatment in China. His work on neural biomarkers, functional connectivity, and advanced imaging techniques has introduced new diagnostic and therapeutic approaches. As a principal investigator on several high-impact projects, Dr. Li’s research has been instrumental in advancing precision psychiatry and patient-centered care models.

📚 ACADEMIC CITATIONS AND PUBLICATIONS

Dr. Kun Li has authored 21 SCI-indexed journal articles, many as the first or corresponding author. His published work includes studies in Behavioural Brain Research, Neuroscience Letters, Frontiers in Psychiatry, Journal of Affective Disorders, and Schizophrenia Research. His meta-analysis on deep TMS for OCD and reviews on neuromodulation in geriatric depression reflect both breadth and depth in the field. These publications are widely cited and respected in the scientific community.

🏆 HONORS & AWARDS

Dr. Li’s research achievements have earned him the Second Grade Science and Technology Achievement Award from the Education Department of Henan Province (2022). He is also actively recognized through national and provincial funding awards, including youth innovation programs and major science projects. His work has received both peer and institutional recognition for innovation and societal contribution.

🧠 LEGACY AND FUTURE CONTRIBUTIONS

Looking ahead, Dr. Li continues to lead multiple ongoing research projects (2024–2028) focused on rTMS, light therapy, brain network modeling, and psychosomatic disorders. His ambition to bridge traditional Chinese medicine and modern neuroscience through chrono-rhythm-based exercise interventions highlights a unique interdisciplinary vision. His legacy is being built not only through impactful research but also through mentoring young scientists and contributing to professional medical organizations.

✍️ FINAL NOTE

Dr. Kun Li exemplifies the integration of academic excellence, clinical innovation, and compassionate mental healthcare. With a clear focus on advancing neuroregulation techniques, early intervention in psychiatric disorders, and translational brain research, Dr. Li is a thought leader committed to shaping the future of psychiatry in China and beyond.

📚 TOP NOTES PUBLICATIONS 

Addressing the overlooked challenge of dysphagia in schizophrenia: A call for action

    • Authors: Xiumei Hou, Huimin Gao, Cuiyuan Fu, Kun Li

    • Journal: Asian Journal of Psychiatry

    • Year: 2025

Distributed White Matter Abnormalities in Major Depressive Disorder: A Diffusion Tensor Imaging Combined Support Vector Machine Study

    • Authors: Sen Li, Yinghong Xu, Jian Cui, Kun Li, Shanling Ji, Hailong Shen, Yu Wan, Chunyu Dong, Hao Zheng, Wanru Qiu et al.

    • Journal: Depression and Anxiety

    • Year: 2025

The entorhinal cortex and cognitive impairment in schizophrenia: A comprehensive review

    • Authors: Kun Li, Liju Qian, Chenchen Zhang, Jiajia Zhang, Chuang Xue, Yuebing Zhang, Wei Deng

    • Journal: Progress in Neuro-Psychopharmacology and Biological Psychiatry

    • Year: 2025

Advances in non-invasive neuromodulation techniques for geriatric depression: A comprehensive review

    • Authors: Guanqiao Song, Yihan Wu, Huili Xing, Ronglian Zheng, Yining Kou, Chenchen Zheng, Meng Zhang, Kun Li

    • Journal: Journal of Clinical and Basic Psychosomatics

    • Year: 2025

Deep transcranial magnetic stimulation for treatment-resistant obsessive-compulsive disorder: A meta-analysis of randomized-controlled trials

    • Authors: Kun Li, Liju Qian, Chenchen Zhang, Rui Li, Jinkun Zeng, Chuang Xue, Wei Deng

    • Journal: Journal of Psychiatric Research

    • Year: 2024

Muhammad Younus | E-Government | Best Researcher Award

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Dr. Muhammad Younus | E-Government | Best Researcher Award

Universitas Muhammadiyah Yogyakarta | Pakistan

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🎓 INTRODUCTION

I graduated in 2019 with a Bachelor’s degree in Computer Science from the Karachi Institute of Economics and Technology, Pakistan. My journey into the world of technology began here, where I built a strong foundation in core computing concepts and problem-solving. With a natural inclination toward innovation and systems thinking, I transitioned into the logistics sector, working as a Business IT Analyst at TPL Logistics, a pioneering Pakistani startup focused on digitizing the country’s logistics operations from the first mile to the last. Recently, in 2024, I completed a Master’s Degree in Government Science from Universitas Muhammadiyah Yogyakarta, Indonesia. My academic and professional experiences have sparked a profound interest in research—especially on how governance and public administration can be transformed through digital innovation. I am currently pursuing my Doctorate in Government Affairs and Administration to further this vision.

🧠 EARLY ACADEMIC PURSUITS

My academic journey began at Korangi Public Secondary School (2007–2012), where I laid the groundwork with a focus on Computer Science. I pursued my intermediate education in Pre-Engineering at SSAT Degree College (2012–2014), which expanded my analytical and mathematical abilities. I then earned a Bachelor’s degree in Computer Science from the Karachi Institute of Economics and Technology (2015–2019). My thirst for interdisciplinary learning led me to Indonesia, where I completed my Master’s degree in Government Sciences at Universitas Muhammadiyah Yogyakarta (2022–2024). Presently, I am enrolled in their Doctoral program, exploring the nexus between technology and governance.

💼 PROFESSIONAL ENDEAVORS

My professional journey started with internships and short-term roles as a Web Developer at Ksoft International and Interns Pakistan in 2018. I then joined TPL Logistics, a YC-backed startup (Rider – YC WC22), in early 2019. Over five years, I served as a Business Analyst in the Product Research and Software Development Department. There, I worked on digital logistics solutions, process automation, and business intelligence tools. My role required the integration of technology with traditional systems—an experience that sharpened both my technical and strategic thinking capabilities.

🔍 CONTRIBUTIONS AND RESEARCH FOCUS

Driven by a strong interdisciplinary mindset, my research interests lie at the intersection of technology and governance. I focus on Digital Government, Process Automation, Smart Cities, E-Government, Digital Transformation, Public Policy, Smart Citizens, International Relations, and Public Sector Innovation. Through my academic work and professional insights, I aim to develop data-driven governance models and contribute to the evolution of transparent, accountable, and efficient public services.

🌍 IMPACT AND INFLUENCE

My work in the logistics tech space contributed to reshaping last-mile delivery models in Pakistan, improving operational efficiency, transparency, and data accuracy. As a researcher, my goal is to influence government decision-making by leveraging AI, data analytics, and civic technology. The combination of my technical and governance background places me in a unique position to drive innovation within the public sector, especially in emerging economies.

📚 ACADEMIC CITATIONS AND PUBLICATIONS

While pursuing my Master’s degree, I have engaged in academic writing, focusing on smart governance frameworks, digital transformation policies, and data analytics for public decision-making. I utilize tools like Nvivo, VOSviewer, SmartPLS, Bibliometrix, and Zotero for qualitative and bibliometric analysis. My ongoing doctoral research will be focused on the implementation of AI-powered governance systems in Southeast Asia, with an emphasis on comparative public administration.

🏅 HONORS & AWARDS

  • Dean’s Recommendation Letter – Universitas Muhammadiyah Yogyakarta

  • Performance Excellence Recognition – TPL Logistics (Product Development Team)

  • Innovation Contributor Award – For proposing a digital dashboard used in field logistics monitoring

  • Internship Distinction Certificate – Interns Pakistan & Ksoft International

🔮 LEGACY AND FUTURE CONTRIBUTIONS

I aspire to be a thought leader at the crossroads of governance and technology. With a strong belief in ethical innovation, my long-term vision is to design and implement inclusive, transparent, and tech-driven governance frameworks. I intend to contribute to both academic literature and real-world policymaking. My goal is to work with international think tanks, government bodies, and academic institutions to develop future-ready administrative models.

📝 FINAL NOTE

My journey—spanning computer science, logistics technology, and government sciences—has been shaped by an ongoing commitment to innovation and public impact. As I continue my doctoral research, I remain passionate about bringing transformative changes to public institutions through intelligent systems and inclusive technologies. I am confident that under the mentorship of esteemed scholars and in collaboration with global research communities, I will be able to make meaningful contributions to the field of digital governance and public sector reform.

TOP NOTES PUBLICATIONS 📚

Virtual Democracy: Exploring the Viability of Election Voting via Metaverse Technology

  • Authors: Muhammad Younus

  • Journal/Source: IT and Semantic Web Contributions to Digital Transformation: Towards Inclusive Economies and Societies (Book Chapter)

  • Year: 2025

Leveraging Data-Driven Decision Making in Marketing: Transforming Marketing Practices for Civil Servants in Government

  • Authors: Muhammad Younus

  • Journal/Source: Multiple-Criteria Decision-Making (MCDM) Techniques and Statistics in Marketing (Book Chapter)

  • Year: 2025

Conceptualizing Smart Citizen as Smart Voter and Its Relationships with Smart Election Process

  • Authors: Muhammad Younus

  • Journal: Discover Global Society

  • Year: 2025

Scientometric Analysis of Digital Transformation Maturity in Research and Development

  • Authors: Riski Riski, Achmad Nurmandi, Muhammad Younus, Herman Lawelai, Wahdania Suardi

  • Journal: Society

  • Year: 2025

The Digital Maturity Revealed: The Secret of Sustainable Transformation

  • Authors: Muhammad Younus

  • Journal: Jurnal Studi Pemerintahan

  • Year: 2025

Muhammad Riaz | Data Science | Best Researcher Award

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Dr. Muhammad Riaz | Data Science | Best Researcher Award

Chengdu University of Technology, Chengdu | China

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INTRODUCTION 👨‍🔬

Dr. Muhammad Riaz is an accomplished academic and researcher specializing in geology. He currently holds the position of Associate Researcher at the College of Energy Resources, Chengdu University of Technology, China. With an extensive background in both academic and practical fields of geology, Dr. Riaz has contributed significantly to various projects and studies, particularly in sedimentology and biostratigraphy. His work has had a profound impact in both his home country, Pakistan, and internationally.

EARLY ACADEMIC PURSUITS 🎓

Dr. Riaz’s academic journey began at the University of the Punjab in Lahore, Pakistan, where he completed his Bachelor’s and MPhil degrees in Applied Geology. His passion for geology led him to pursue a PhD in Geology at China University of Geosciences in Beijing, where he further honed his skills and knowledge. His doctoral research focused on the study of sedimentary structures and formations, laying the groundwork for his future contributions in the field.

PROFESSIONAL ENDEAVORS 💼

Throughout his career, Dr. Riaz has held numerous prestigious positions, both in academia and in industry. He currently works as an Associate Researcher at Chengdu University of Technology in China. Prior to this, he served as a Senior Sedimentologist at the Hydrocarbon Development Institute of Pakistan (HDIP), where he focused on sedimentology and biostratigraphy. His role as an Assistant Professor at the Centre for Geographical Information System, University of the Punjab, Lahore, has also shaped his academic trajectory. He has contributed to various research projects related to geological studies, particularly in hydrocarbon exploration and resource management.

CONTRIBUTIONS AND RESEARCH FOCUS 🔬

Dr. Riaz’s research primarily focuses on sedimentology, stratigraphy, and geological fabric diversity. He has contributed significantly to understanding the Cambrian bioherms along the Northern Margin of the North China Craton. His research also includes the study of the economic significance of Permian Wargal Limestone in Pakistan’s Western Salt Range. His work in geosciences, particularly sedimentology, has provided valuable insights into the geological history and resource potential of these regions.

IMPACT AND INFLUENCE 🌍

Dr. Riaz’s work has had a lasting impact on the academic community as well as the petroleum and energy sectors. Through his research and collaboration with institutions like the Hydrocarbon Development Institute of Pakistan and the China University of Geosciences, he has influenced the development of geological studies in sedimentology, hydrocarbon exploration, and resource management. His projects have advanced the understanding of geological formations, contributing to better resource utilization and environmental management.

ACADEMIC CITATIONS AND PUBLICATIONS 📚

Dr. Riaz has authored numerous research papers and publications in prestigious scientific journals. His work is frequently cited by other geologists and researchers in the fields of sedimentology and geological exploration. He has also presented his research findings at various international conferences, further solidifying his reputation as a leading expert in his field. His published work continues to be a valuable resource for researchers and industry professionals alike.

HONORS & AWARDS 🏆

Dr. Riaz’s outstanding contributions have been recognized through various prestigious awards. In 2023, he was honored with the “Best Performance Award” by the Hydrocarbon Development Institute of Pakistan. In 2021, he received a research grant from the Higher Education Commission of Pakistan. His achievements have also been acknowledged with multiple awards, including the Outstanding Scientific Research Achievement Award from China University of Geosciences in 2018 and merit scholarships from the University of the Punjab.

LEGACY AND FUTURE CONTRIBUTIONS 🔮

Dr. Riaz’s legacy in the field of geology is defined by his deep commitment to research, teaching, and industry advancement. As he continues his work at Chengdu University of Technology, his future contributions are expected to further enhance the understanding of geological processes, especially in sedimentology and biostratigraphy. His ongoing research promises to shape the future of energy resources, environmental studies, and geological exploration in both Asia and globally.

FINAL NOTE ✨

Dr. Muhammad Riaz’s career is a testament to his dedication to the advancement of geological sciences. From his early academic pursuits to his current role as a prominent researcher, his work continues to inspire the next generation of geoscientists. With his extensive experience and continued passion for research, he is poised to make even more significant contributions to the world of geology, shaping the future of energy resources and geological exploration.

TOP NOTES PUBLICATIONS 📚

Article Title: Microbially-dominated Cambrian (Miaolingian) carbonate reef of the North China

    • Authors: Ming-Xiang Mei, Muhammad Riaz, Ardiansyah Koeshidayatullah, Zi-Liang Liu

    • Journal: Journal of Palaeogeography

    • Year: 2025

Article Title: Understanding the origin of ancient carbonate ooids: recent findings

    • Authors: Muhammad Riaz, Santanu Banerjee, Khalid Latif, Ziliang Liu, Mohamed S. Ahmed, Douaa Fathy

    • Journal: International Geology Review

    • Year: 2024

Article Title: Biohermal complex dominated by microbial carbonates from the early Miaolingian (lower Cambrian) Maozhuang Formation, North China

    • Authors: Mingxiang Mei, Muhammad Riaz, Khalid Latif, Ziliang Liu, Mohamed S. Ahmed, Douaa Fathy

    • Journal: Facies

    • Year: 2023

Article Title: Morphology and genesis of the Cambrian oncoids in Wuhai Section, Inner Mongolia, China

    • Authors: Muhammad Riaz, Khalid Latif, Tehseen Zafar, Enzhao Xiao, Shahid Ghazi

    • Journal: Carbonates and Evaporites

    • Year: 2022

Article Title: Sequence stratigraphy, depositional and diagenetic environments of the late Cambrian glauconite bearing oolitic limestones in the Kelan Section, Shanxi, China

    • Authors: Muhammad Riaz, G M Bhat, Khalid Latif, Tehseen Zafar, Shahid Ghazi

    • Journal: Journal of Earth System Science

    • Year: 2022

Article Title: Diversified calcimicrobes in dendrolites of the Zhangxia Formation, Miaolingian Series (Middle Cambrian) of the North China craton

    • Authors: Ming-Xiang Mei, Muhammad Riaz, Zhen-Wu Zhang, Qing-Fen Meng, Yuan Hu

    • Journal: Journal of Palaeogeography

    • Year: 2021

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

Weiguo Cao | medical image processing | Best Innovation Award

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Dr. Weiguo Cao | medical image processing | Best Innovation Award

Mayo Clinic | United States

Publication Profile

Google Scholar

👨‍💻 Summary

Dr. Weiguo Cao is a Senior Research Fellow at the Mayo Clinic, specializing in computer vision, machine learning, and medical image processing. With a Ph.D. in Computer Science from the Chinese Academy of Sciences, his research bridges cutting-edge AI technologies with healthcare applications, focusing on diagnostic tools and medical image analysis.

🎓 Education

Dr. Cao completed his Ph.D. in Computer Science at the Institute of Computing Technology, Chinese Academy of Sciences, Beijing, in 2011. His dissertation was titled “3D Non-rigid Shape Analysis Technology and their Applications.”

💼 Professional Experience

Dr. Cao has held key roles at prestigious institutions. He is currently a Senior Research Fellow at Mayo Clinic (June 2021-present), following his tenure as a Postdoctoral Associate at the State University of New York (2017-2021). Previously, he worked as a Research Scientist at Alibaba Group (2016-2017) and the Institute of Computing Technology, Chinese Academy of Sciences (2011-2016).

📚 Academic Citations

Dr. Cao’s work is widely recognized, with numerous publications in medical imaging, computer vision, and AI. His research outputs have contributed to advancements in medical image segmentation, machine learning algorithms, and deep learning for clinical decision support.

💻 Technical Skills

Dr. Cao is proficient in Python, C++, MATLAB, and R for programming. His technical expertise spans image processing, including texture and shape analysis, medical image segmentation, and feature extraction. He has deep experience in machine learning, working with models like SVM, Random Forest, CNN, and RNN. He’s also skilled in software design, system architecture, and using tools like Keras, TensorFlow, PyTorch, and CUDA.

👨‍🏫 Teaching Experience

Throughout his career, Dr. Cao has mentored students and researchers, offering expertise in image processing, machine learning, and software development. His contributions to educational projects and research have supported the development of new AI applications in healthcare.

🔬 Research Interests

Dr. Cao’s research interests include medical image processing (detection, segmentation, and classification of medical images), machine learning (deep learning models like CNN and RNN for healthcare), pattern recognition, and software design for creating advanced diagnostic tools. His work aims to improve the accuracy and efficiency of clinical decision-making through AI-powered systems.

📚 Top Notes Publications 

3D-GLCM CNN: A 3-dimensional gray-level co-occurrence matrix-based CNN model for polyp classification via CT colonography

    • Authors: J. Tan, Y. Gao, Z. Liang, W. Cao, M.J. Pomeroy, Y. Huo, L. Li, M.A. Barish, …

    • Journal: IEEE Transactions on Medical Imaging

    • Year: 2020

An Investigation of CNN Models for Differentiating Malignant from Benign Lesions Using Small Pathologically Proven Datasets

    • Authors: Shu Zhang, Fangfang Han, Zhengrong Liang, Jiaxing Tan, Weiguo Cao, Yongfeng …

    • Journal: Computerized Medical Imaging and Graphics

    • Year: 2019

GLCM-CNN: Gray Level Co-occurrence Matrix Based CNN Model for Polyp Diagnosis

    • Authors: J. Tan, Y. Gao, W. Cao, M. Pomeroy, S. Zhang, Y. Huo, L. Li, Z. Liang

    • Journal: 2019 IEEE EMBS International Conference on Biomedical & Health Informatics

    • Year: 2019

SHREC’08 Entry: 3D Face Recognition Using Moment Invariants

    • Authors: D. Xu, P. Hu, W. Cao, H. Li

    • Journal: IEEE International Conference on Shape Modeling and Applications

    • Year: 2008

Real-Time Accurate 3D Reconstruction Based on Kinect v2

    • Authors: Li Shi-Rui, Li Qi, Li Hai-Yang, Hou Pei-Hong, Cao Wei-Guo, Wang Xiang-Dong, …

    • Journal: Journal of Software

    • Year: 2016

Ling Huang | Emerging Research Trends | Best Researcher Award

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Prof. Ling Huang | Emerging Research Trends | Best Researcher Award

Nanjing Tech University | China

PUBLICATION PROFILE

Scopus

👨‍🔬 Summary

Prof. Ling Huang is a distinguished professor at Xinjiang University in China, specializing in Inorganic Chemistry, Rare Earth Chemistry, and Functional Materials. With over two decades of research and academic experience, his work focuses on areas such as rare earth luminescence, defect engineering, and advanced material applications. His expertise has led him to significant accolades, including being named a Fellow of the Royal Society of Chemistry (FRSC). Prof. Huang has also mentored numerous graduate students and postdoctoral researchers, leaving a lasting impact on the scientific community.

🎓 Education

Prof. Huang completed his Ph.D. in Inorganic Chemistry at Nanjing University (1996 – 2001) in China, following his B.Sc. in Chemistry from Jiangsu Normal University (1992 – 1996). His academic journey laid the foundation for his future research in chemistry and materials science.

💼 Professional Experience

Prof. Huang has held several prestigious positions throughout his career. He is currently a Professor at Xinjiang University (2021 – Present). Prior to this, he served as a professor at Nanjing Tech University (2012 – 2021), and as an associate professor at Nanyang Technological University in Singapore (2009 – 2012). His industry experience includes working as a Senior Research Scientist at Corning Inc., USA (2008 – 2009). Additionally, he has been a Post-Doctoral Research Associate at Northwestern University, Florida State University, and UC Berkeley, USA, where he honed his expertise in nanomaterials and rare earth chemistry.

📚 Academic Citations

Prof. Huang has authored over 180 publications, contributing significantly to the fields of luminescence and functional materials. Notable papers include “Abnormal But Rational: Luminescence Anti-Thermal Quenching in ScPO4:Er” and “Atomic Pr-Stabilized Pt Nanoclusters Accelerate Alkaline Hydrogen Evolution”, both of which are currently under review in prestigious journals such as Nature Communications and Angewandte Chemie.

🛠️ Technical Skills

Prof. Huang’s technical expertise covers a broad range of scientific fields. He is skilled in rare earth luminescence (upconversion/downshifting, anti-thermal quenching), material synthesis (creating functional ceramics, glasses, and solid-state electrolytes), and defect engineering (optimizing properties of materials through bandgap engineering and structural manipulation).

📖 Teaching Experience

Throughout his academic career, Prof. Huang has taught various courses at both the undergraduate and graduate levels. At Nanjing Tech University, he has taught courses such as Inorganic Chemistry, Luminescent Materials, and Advanced Nanomaterials (2014 – Present). Additionally, at Nanyang Technological University, he taught Bioelectronics, Chemistry I & II, and Biomedical Nanotechnology (2009 – 2012), shaping the education of future scientists and engineers.

🔬 Research Interests

Prof. Huang’s research interests lie at the intersection of rare earth chemistry and functional materials. He investigates luminescent materials, focusing on anti-thermal quenching and chiral luminescence. His research extends to functional materials, including solid-state fuel cells and optical devices, and solid-state chemistry, where he explores defect engineering to enhance the properties of materials for a variety of applications.

📚 Top Notes Publications 

Anti-thermal quenching upconversion luminescence of Cr3+ in Sc2(WO4)3:Yb/Cr

    • Authors: Yang Wei, Shuaihao Wu, Ran Chen, Yanqing Lu, Ling Huang

    • Journal: Nano Research

    • Year: 2025

Ultra-low temperature selective catalytic reduction of NOx into N2 by micron spherical CeMnOx in high-humidity atmospheres containing SO2

    • Authors: Xixi Chen, Peng Gao, Ling Huang, Zonghang Liu, Yuesong Shen

    • Journal: Applied Catalysis B: Environmental

    • Year: 2025

Orderly Stacked “Tile” Architecture with Single-Atom Iron Boosts Oxygen Reduction in Liquid and Solid-State Zn–Air Batteries

    • Authors: Bin Zhang, Jingshuang Dang, Hongyi Li, Ling Huang, Jingui Duan

    • Journal: Advanced Functional Materials

    • Year: 2025

RbB7O10(OH)2 and NaB11O16(OH)2: alkali metal hydroxyborates with two-dimensional layered structures and large birefringence

    • Authors: Yujing Zheng, Ke Li, Ling Huang, Fangfang Zhang

    • Journal: Dalton Transactions

    • Year: 2025

Regulating the Dynamics of Interpenetrated Porous Frameworks for Inverse C2H6/C2H4 Separation at Elevated Temperature

    • Authors: Kui Tan, Jingui Duan, Ling Huang

    • Journal: Angewandte Chemie International Edition in English

    • Year: 2025

Usman Ullah | Green Finance | Best Researcher Award

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Mr. Usman Ullah | Green Finance | Best Researcher Award

Quaid-i-azam University, Pakistan

PUBLICATION PROFILE

Scopus

INTRODUCTION 🌍

Mr. Usman Ullah is a compassionate, driven, and dedicated individual, deeply focused on empowering communities through education. His work reflects a strong sense of empathy and a commitment to making a positive impact on the world. By engaging in academics, research, and social sector initiatives, Mr. Ullah demonstrates his dedication to achieving his goals and creating a meaningful difference.

EARLY ACADEMIC PURSUITS 🎓

Mr. Ullah’s academic journey began at Quaid-i-Azam University (QAU), where he pursued an M.Phil. in Management Sciences, focusing on economic indicators, green finance, technology innovations for sustainable development, and energy efficiency with governance mediation. Before this, he completed a BS in Accounting & Finance from the Institute of Management Sciences in Peshawar. His solid academic foundation has paved the way for his dedication to advancing research in management, sustainability, and economics.

PROFESSIONAL ENDEAVORS 👨‍🏫

Mr. Ullah has held various prominent academic positions. He is currently an Adjunct Faculty Member at Quaid-i-Azam School of Management Sciences and a Teaching & Research Associate at QASMS, QAU. Additionally, he has served as a Lecturer at USWA Institute of Higher Studies in Islamabad. His earlier role as a Project Assistant at Ensemble Pour Le Développement Humain included overseeing project administration, financing, and inventory management, providing him with valuable experience in the non-profit and social sectors.

CONTRIBUTIONS AND RESEARCH FOCUS 📑

Mr. Ullah’s research revolves around sustainable development, green finance, and economic indicators, with a particular emphasis on enhancing energy efficiency through technology and governance. His M.Phil. thesis analyzed how governance can mediate the relationship between economic indicators and green technologies to promote sustainable development. His work seeks to bridge the gap between economic progress and environmental sustainability.

IMPACT AND INFLUENCE 🌍

Through his academic roles and research, Mr. Ullah has significantly impacted students, professionals, and organizations in fields like management, sustainability, and economics. He has inspired many individuals to pursue careers that combine education, sustainability, and social responsibility. His leadership in organizing international conferences and seminars, such as those focused on sustainability and climate change, reflects his dedication to advancing global environmental awareness.

ACADEMIC CITATIONS AND PUBLICATIONS 🔍

Mr. Ullah has made notable contributions to the academic community. He currently serves as a reviewer for respected journals like the International Journal of Innovation Science, Journal of Environmental Development & Sustainability, and Journal of Knowledge Economy. His ongoing research and publication in these journals highlight his thought leadership in areas such as sustainable finance, innovation, and environmental governance.

HONORS & AWARDS 🏅

Throughout his career, Mr. Ullah has received several honors and awards in recognition of his contributions to education, research, and social impact. He has played a key role in organizing workshops and conferences that focus on advancing sustainability and innovation. His commitment to promoting higher education and social change has earned him recognition as a distinguished academic and professional in his field.

LEGACY AND FUTURE CONTRIBUTIONS 🌱

Mr. Ullah’s legacy is grounded in his dedication to education, sustainability, and research. Looking ahead, he intends to continue contributing to academic discourse and driving initiatives that promote sustainable development. His future work will likely focus on integrating green finance with economic growth and advancing technologies that foster environmental sustainability, aiming to leave a lasting impact on society.

FINAL NOTE 🌟

Mr. Usman Ullah’s journey reflects a passionate commitment to education, research, and social betterment. Through his work, he continues to inspire others and will undoubtedly play a pivotal role in shaping a more sustainable and equitable future. His dedication to empowering communities and advancing academic knowledge ensures that his contributions will be felt for generations to come.

TOP NOTES PUBLICATIONS 📚 

Towards a Green Economy: Investigating the Impact of Sustainable Finance, Green Technologies, and Environmental Policies on Environmental Degradation

    • Authors: Muhammad Ahsan Iqbal, Dr. Wasim Abbas Saheen, Suheela Shabir, Usman Ullah

    • Journal: Journal of Environmental Management (Q1, IF-8)

    • Year: 2025

Empowering Sustainable Development through Finance, Economic Factors, Technology-Innovation, and Governance Index for a Flourishing Future

    • Authors: Usman Ullah, Dr. Wasim Abbas Shaheen

    • Journal: Environment Development and Sustainability (Q1, IF 4.7)

    • Year: 2024

Green Finance, Technology Innovation and Economic Indicators with Governance Index Role and Conditional Effect of Financial Risk in Achieving Energy Efficient Economies Across the Globe

    • Authors: Usman Ullah, Dr. Wasim Abbas Shaheen

    • Journal: Journal of Renewable and Sustainable Energy Reviews (IF 15.9)

    • Year: 2023 (Under Review)

Systematic Literature Review on Capital Budgeting Techniques

    • Authors: Wasim Abbas Shaheen, Tayebba Saleem, Noman Shafi, Usman Ullah

    • Journal: UCP Journal of Business Perspectives

    • Year: 2025

How Female Labor Participation and Literacy Positively Influence FDI Inflows: Empirical Evidence from OECD Countries

    • Authors: Wasim Abbas Shaheen, Qurat ul Ain Sajid, Noman Shafi, Usman Ullah

    • Journal: Journal of Finance & Economics Research

    • Year: 2025

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