José Firmino de Sousa Filho | Interregional Economics | Best Researcher Award

Dr. José Firmino de Sousa Filho –  Interregional Economics –  Best Researcher Award

State University of Feira de Santana | Brazil

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📍Current Position

José Firmino de Sousa Filho is currently affiliated with the Centro de Integração de Dados e Conhecimentos para a Saúde (CIDACS) at Fundação Oswaldo Cruz (FIOCRUZ), where he actively participates in research and development initiatives. His role focuses on integrating economic theories with public health data to understand socioeconomic determinants of health. José’s expertise in economic planning and applied social sciences is critical in ongoing projects aimed at reducing health inequities.

 

📝Publication Achievements

José has a strong publishing record, including significant contributions to esteemed journals. His recent works in JAMA Network Open and Science of the Total Environment reflect his interdisciplinary approach, bridging economy and public health. With five articles on Web of Science and a broader portfolio totaling fifteen, his work has accumulated 115 citations, highlighting his research’s impact in fields such as income segregation, cash transfers, and air pollution effects on health in Latin American urban centers.

 

🔍Ongoing Research

His ongoing research centers on the socio-economic impacts of structural economic shifts, particularly post-COVID-19 and the roles of public policies. Through his involvement in CIDACS projects like the SALURBAL initiative, José examines urban health inequalities and environmental health impacts, focusing on Latin American cities.

 

🔬 Research Interests

José’s research spans various economic topics, including BRIC economies, international trade, and industrial organization, with a particular focus on Brazilian economic structures. His interests lie in understanding the intersection of economy and health, the evolution of trade practices, and the socio-economic effects of public health policies.

 

🎓Academic Background

José obtained his Ph.D. in Economics from the Universidade Federal da Bahia (UFBA) in 2023, focusing on economic planning under the mentorship of Gervásio Ferreira dos Santos. He also completed his Master’s in Economics at UFBA in 2019, studying Brazilian economic changes. His academic journey began with a Bachelor’s degree in Economics from the Universidade Estadual de Feira de Santana (UEFS).

 

🏆Scholarships and Awards 

José’s scholarly pursuits have been recognized through scholarships and awards. He received support from FAPESB during his Master’s studies and was awarded first place at the Science Slam 2023 by CIDACS, underscoring his contributions to economic research in public health. Additionally, he secured third place for his presentation at the V Semana de Economia da UEFS, showcasing his early contributions to economic theory and policy.

 

🧬 Bioinformatics

Incorporating bioinformatics into his work, José applies statistical models to analyze socio-economic data with public health variables. His work in projects like SALURBAL requires the integration of bioinformatic tools to analyze large datasets, connecting socio-economic indicators with health outcomes in complex urban settings.

 

🌐Professional Associations 

José is a reviewer for several notable journals, including SSM – Population Health and Social Science & Medicine. His role as a reviewer is a testament to his knowledge and reputation in economics and public health, where he actively contributes to the quality and rigor of research in these fields.

 

 📚Training & Workshops 

José has undertaken various professional development programs to enhance his economic modeling and policy analysis skills. Notable courses include Causal Inference at UFPE and Applied General Equilibrium Models at USP. He also completed training in strategic management, public policies, and advanced Excel, showing a commitment to continuous learning.

 

🎤Oral Presentations and🗣️Thought Leadership 

Throughout his academic and professional career, José has delivered numerous presentations. His participation in events like the Science Slam 2023 highlights his effective communication skills and ability to share complex economic and health-related insights with a broader audience.

🧑‍🔬Tasks Completed as a Researcher 

José’s tasks include extensive data analysis and collaborative research within CIDACS. His projects have addressed the socio-economic impact of the COVID-19 pandemic in Brazil and structural changes in Brazil’s economy post-trade liberalization. His rigorous research methodologies and analytical skills have enabled him to produce valuable insights for policy-making and economic planning.

 

🚀Success Factors 

José attributes his success to a combination of rigorous academic training, continuous professional development, and a collaborative approach to research. His work ethic, combined with his proficiency in multiple languages, enables him to collaborate on international research projects and contribute to a diverse array of publications.

 

🔬Publications & Laboratory Experience

With publications in respected journals and active involvement in CIDACS research laboratories, José has honed his skills in data integration and analysis. His work often involves applying econometric models to study health and economic data, providing a quantitative basis for understanding economic disparities in Brazil and beyond.

 

🔍 Conclusion

José Firmino de Sousa Filho’s academic and professional journey reflects his commitment to advancing economic understanding, particularly in the context of public health. His interdisciplinary expertise in economic planning and data integration offers valuable insights into socio-economic challenges and their impact on public health. José’s continued research and dedication to applying economic models to real-world issues solidify his role as an influential figure in applied social sciences. 🌎

 

📚Publications

  • Global Value Chains and Intra-BRICs Trade in Value-added

     Authors: Crossref

      Journal: Journal of Government and Economics

  • The role of emergency aid in mitigating the local effects of the COVID-19 pandemic: evidence from Espírito Santo, Brazil

    Authors: Crossref

      Journal: Spatial Economic Analysis

  • Short-term associations between fine particulate air pollution and cardiovascular and respiratory mortality in 337 cities in Latin America

    Authors: José Firmino de Sousa Filho

      Journal: Science of The Total Environment

  • Income Segregation, Conditional Cash Transfers, and Breast Cancer Mortality Among Women in Brazil

    Authors: José Firmino de Sousa Filho

      Journal: JAMA Network Open

  • A scaling investigation of urban form features in Latin America cities

    Authors: José Firmino de Sousa Filho

      Journal: PLOS ONE

Bai Mbye Cham | Mathematics | Best Researcher Award

Dr. Bai Mbye Cham  –  Mathematics –  Best Researcher Award

University of The Gambia | Gambia

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Scopus

 

📍Current Position

Bai Mbye Cham is currently a Lecturer at the University of The Gambia in the Department of Arts and Sciences, Mathematics Section. In this role, he specializes in teaching a broad range of mathematics courses, including calculus, probability, statistics, linear algebra, and differential equations. Cham actively supervises examinations and contributes to a wide array of university events, such as seminars, sports, and community engagement initiatives.

 

📝Publication Achievements

Cham has co-authored numerous high-impact research papers, including:

  • “Numerical Study on Natural Convection in a Saturated Non-Darcian Porous Medium”, Applied Thermal Engineering (2024).
  • “Numerical Computations of Magnetohydrodynamic (MHD) Thermal Fluid Flow in a Permeable Cavity”, Case Studies in Thermal Engineering (2024).
  • Several other publications in esteemed journals like the Journal of the Brazilian Society of Mechanical Sciences and Engineering and AIP Advances.

 

🔍Ongoing Research

Cham is engaged in projects examining natural convection fluid flows, MHD studies in porous mediums, and second-law analyses using entropy generation methods. His work often integrates advanced computational simulations and numerical methods to study thermal properties within various environments.

 

🔬 Research Interests

Cham’s interests span:

  1. Numerical Analysis of Fluid Flow and Heat Transfer: Investigating the dynamic behaviors of fluids under magnetic and thermal conditions.
  2. Magnetohydrodynamics: Exploring the influence of magnetic fields on fluid dynamics.
  3. Entropy Generation: Focusing on optimization for energy efficiency in thermodynamic systems.

 

🎓Academic Background

Cham’s academic journey began at Kabafita Lower Basic School (2000–2006) and Brikama Methodist Academy (2006–2009), where he earned his Basic Education Certificate. He later attended Nusrat Senior Secondary School (2009–2012), completing the West African Senior Secondary Certificate Examination. Cham holds a BSc in Mathematics from the University of The Gambia and an MSc in Mathematical Sciences from the African Institute for Mathematical Sciences. Currently, he is pursuing a PhD in Mathematics at Comsats University Islamabad.

 

🏆Scholarships and Awards 

Cham’s academic excellence has earned him scholarships, notably for his MSc studies at the African Institute for Mathematical Sciences. He also received Executive of the Year (2018) in the Kani Kunda Tendala Youth and Social Development Association and several other recognitions for his community service efforts.

 

🌐Professional Associations 

Cham is actively involved in multiple associations:

  • University of The Gambia Science Student Association (Past President and Honorary Advisor)
  • Gambia Red Cross Society: Certified in first-aid training
  • Youth Ambassadors of Peace
  • Kani Kunda Tendala Youth and Social Development Association (President)

 

 📚Training & Workshops 

Cham has attended training workshops across mathematical sciences, computational modeling, and professional skill-building. Notably, he participated in University of The Gambia Science Student Association seminars and workshops, covering renewable energy, examination preparation, and stress management.

 

🎤Oral Presentations and🗣️Thought Leadership 

Cham has delivered seminars such as:

  • Renewable Energy for Sustainable Development (University of The Gambia, 2023)
  • Numerical Simulation of Mesh-Based and Mesh-Free Methods for Fluid Flows (COMSATs University, 2023)

 

🧑‍🔬Tasks Completed as a Researcher 

Cham has contributed to projects on thermal engineering and fluid mechanics. His research tasks include computational simulations, mathematical modeling, and data analysis for complex heat transfer scenarios. His work on numerical modeling in porous mediums has informed the broader understanding of fluid dynamics under variable conditions.

 

🚀Success Factors 

Cham attributes his success to:

  1. Community Support: Drawing on strong connections within academic and community groups.
  2. Continuous Learning: Regularly updating his knowledge through training and workshops.
  3. Collaboration: Working with renowned academics and participating in joint projects.

 

🔬Publications & Laboratory Experience

Cham has co-authored numerous articles, such as those in Applied Thermal Engineering and Journal of the Brazilian Society of Mechanical Sciences and Engineering. His laboratory experience includes performing computational fluid dynamics (CFD) and magnetohydrodynamic (MHD) analyses, with extensive work on numerical simulation techniques.

 

🔍 Conclusion

Cham’s dedication to mathematics and his involvement in academic and community spheres make him a valued contributor to the field. His impactful research, combined with a commitment to teaching and mentorship, exemplifies his leadership in the University of The Gambia and beyond.

 

📚Publications

  • Fluid flow control around unequal cylinder spacing behind three side-by-side cylinders

     Authors: Shams-ul-Islam, Cham, B.M., Zia-ul-Islam, Sheikh, N.

      Journal:  Journal of the Brazilian Society of Mechanical Sciences and Engineering,

  • Numerical computations of magnetohydrodynamic (MHD) thermal fluid flow in a permeable cavity: A time dependent based study

    Authors: Cham, B.M., Islam, S.-U., Majeed, A.H., Ali, M.R., Hendy, A.S.

      Journal:  Case Studies in Thermal Engineering,

  • Numerical study on natural convection in a saturated non Darcian porous medium under radiation and entropy generation effects

    Authors: Cham, B.M., Islam, S.-U., Islam, Z.-U.

      Journal:  Applied Thermal Engineering

  • Unsteady, two-dimensional magnetohydrodynamic (MHD) analysis of Casson fluid flow in a porous cavity with heated cylindrical obstacles

    Authors: Cham, B.M., Shams-Ul-Islam, Saleem, M., Talib, S., Ahmad, S.

      Journal:  AIP Advances

  • Numerical analysis of heat and mass transfer of MHD natural convection flow in a cavity with effects of source and sink

    Authors: Ahmad, S., Cham, B.M., Liu, D., Hussien, M.A., Waqas, H.

      Journal:  Case Studies in Thermal Engineering

Xiangfei Zeng | audit governance | Best Researcher Award

Dr. Xiangfei Zeng  –  audit governance  –  Best Researcher Award

Anhui University of Technology | China

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Scopus

Orcid

 

📍Current Position

As the Head of the Accounting Department and an Associate Professor, Xiangfei Zeng oversees the academic and administrative operations within his department, supervising curriculum development, faculty support, and research initiatives. His focus is on cultivating an environment that fosters academic excellence, creativity, and a strong foundation in accounting and financial management.

 

📝Publication Achievements

Zeng’s publication portfolio reflects his expertise and research acumen in management science and accounting. His articles, often published in reputable journals, cover topics such as financial management, accounting best practices, and educational methodologies. These publications contribute valuable insights into the field and are a testament to his dedication to advancing knowledge in accounting and management science.

 

🔍Ongoing Research

Currently, Zeng’s research explores advanced topics within management science and accounting, with a particular interest in integrating artificial intelligence to optimize accounting processes. His ongoing work addresses current challenges in financial management and the potential of AI-driven solutions, aiming to introduce innovative methodologies that streamline complex accounting tasks.

 

🔬 Research Interests

Zeng’s primary research interests lie at the intersection of management science, accounting education, and instructional strategies. His work often involves examining the efficacy of various teaching methodologies, assessing performance metrics, and exploring the role of technology in enhancing educational delivery. His interests are continuously evolving, keeping pace with the latest advancements in both accounting and pedagogy.

 

🎓Academic Background

Xiangfei Zeng obtained his Ph.D. in Management Science and Engineering from Southeast University in Nanjing, a credential that solidifies his foundation in the field. This academic experience, paired with his extensive teaching history at Anhui University of Technology since July 2003, underscores his expertise and dedication to the discipline.

 

🏆Scholarships and Awards 

Throughout his career, Zeng has earned multiple awards recognizing his excellence in both teaching and research. These accolades highlight his commitment to academic integrity, his contributions to management science, and his effectiveness as an educator.

 

🌐Professional Associations 

As an active member of several academic and professional associations, Zeng collaborates with peers in the fields of accounting and management science. These memberships allow him to stay updated on the latest industry trends and methodologies, fostering professional development and enhancing his research.

 

 📚Training & Workshops 

Over his career, Zeng has attended numerous training sessions and workshops focused on advanced accounting techniques, management strategies, and instructional methodologies. These sessions contribute to his growth as both a researcher and educator, allowing him to bring the latest insights into his teaching practice.

 

🎤Oral Presentations and🗣️Thought Leadership 

Xiangfei Zeng is a seasoned presenter, having delivered presentations at various national and international conferences. His ability to communicate complex ideas clearly and engage audiences highlights his public speaking skills and contributes to his reputation as a thought leader in accounting and management science.

 

🧑‍🔬Tasks Completed as a Researcher 

As a dedicated researcher, Zeng has undertaken a variety of tasks that include developing performance assessment frameworks, analyzing financial management trends, and studying the impact of multi-media teaching tools on student engagement. His methodological approach to research ensures comprehensive results that contribute to advancements in his field.

 

🚀Success Factors 

Zeng attributes his success to several factors: his dedication to continual learning, a passion for teaching, a proactive approach to problem-solving, and his ability to adapt to emerging trends in accounting and education. His commitment to excellence is evident in both his teaching and research achievements.

 

🧪Publications & Laboratory Experience

His publications are a testament to his extensive knowledge and experience, offering insights into contemporary issues in accounting and management science. Zeng’s experience in research labs has furthered his skills in experimental design and data analysis, which he applies to both his research and classroom settings.

 

🔍 Conclusion

Professor Xiangfei Zeng’s career exemplifies a blend of academic rigor, research innovation, and educational commitment. His ongoing contributions to management science, coupled with his dedication to student development and instructional excellence, make him a valuable asset to Anhui University of Technology and a noteworthy candidate for any academic accolade. His passion for continuous improvement, coupled with his ability to inspire students and colleagues alike, highlights his enduring impact on the field of accounting and beyond.

 

📚Publications

  • Corporate environmental, social, and governance information disclosure and audit governance in the context of green development

        Authors:  Wang, J., Zeng, X.

        Journal:  Journal of Cleaner Production

  • Supplier concentration and debt maturity structure

        Authors:  Zhang, T., Wang, Y., Zeng, X.

        Journal:  Business Process Management Journal

  • Customer concentration and company risk-taking: Effective contract or managerial power?

        Authors:  Zu, Y., Zheng, Q., Qiao, M., Zeng, X.

        Journal:  Managerial and Decision Economics

  • Management control matching pattern and company strategic aggressiveness: empirical test based on annual report text information

        Authors:  Zeng, X., Zhang, T., Zu, Y.

        Journal:  Chinese Management Studies

  • Management control matching patterns and firm innovation modes

        Authors:  Zeng, X., Zhang, T., Chen, L., Zu, Y.

        Journal:  Technology Analysis and Strategic Management

Bih-Chuan Lin | Disaster risk reduction and management | Excellence in Research

Assist. Prof. Dr. Bih-Chuan Lin  –  Disaster risk reduction and management  – Excellence in Research

Da Yeh University | Taiwan

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📍Current Position

Bih Chuan Lin is an Assistant Professor at DaYeh University’s Department of Architecture and Interior Design, as well as at the Graduate School of Architecture. Lin also serves as a Professional Consultant for the Tzu Chi Charity Foundation and Tzu Chi Merit Association, and has specialized in architectural planning and disaster management research since 2013. With expertise in adaptive capacity, community resilience, and sustainable design, Lin contributes significantly to the advancement of disaster-resilient, community-focused architectural practices.

 

📝Publication Achievements

Lin has an impressive track record of publications in highly regarded journals and conferences. Recent works include a 2024 paper on adaptive capacity-building in earthquake-prone communities published in Geomatics, Natural Hazards and Risk. Lin’s other prominent publications include articles in the International Journal of Disaster Risk Reduction and the Journal of Advanced Research in Applied Sciences and Engineering Technology. Lin has also delivered distinguished presentations at conferences like the Adv. ESCC 2024 and the 8th International Conference on Environment and Disasters, sharing insights on sustainable and resilient architecture.

 

🔍Ongoing Research

Lin’s ongoing research focuses on enhancing adaptive capacity for communities affected by environmental disasters, specifically earthquakes. Currently working on the “113 Resilient Taiwan Plan,” Lin collaborates as a consultant to support research on urban and rural resilience in extreme disaster contexts. Lin is also evaluating ecosystem services in Taiwan’s Hualien County, contributing to studies that assess the environmental and economic impacts of development, and working on frameworks for biodiversity conservation under the Reserve Conservation Program.

 

🔬 Research Interests

Lin’s research interests are diverse and cross-disciplinary. These include disaster management, community resilience, sustainable design, and architecture with a focus on green building and universal accessibility. Lin’s expertise in landscape and urban design is also central to research that integrates environmental and human behavior in project planning, especially in disaster-prone areas. Further, Lin is passionate about inclusive design, advocating for accessible spaces for all ages and abilities.

 

🎓Academic Background

Lin’s academic journey is notable, with a recent PhD from the Department of Natural Resources and Environmental Studies at National DongHwa University (2023). Previously, Lin was a PhD Candidate in Architecture at National Cheng Kung University (2010) and earned a Master’s in Architecture, Planning, and Design from Kansas State University (2004). Lin’s foundational studies in architecture began with a Bachelor’s degree from Tamkang University and a B.A. in Architecture Engineering from Chengshiu College in Kaohsiung, Taiwan.

 

🏆Scholarships and Awards 

Lin’s career is decorated with numerous accolades. Recently, Lin was awarded the Best Research Award at the 4th International Research Awards on Global Business, Economics, Finance, and Social Sciences in 2023. Lin’s work was also recognized at the 13th Annual Conference on Development Studies with an Outstanding Dissertation Award (2021). Lin’s design prowess was highlighted with wins in Taiwan’s “Beautiful Toilet Environment-Built It by You” Public Toilet Competition in 2024, showcasing creativity in sustainable architecture.

 

🌐Professional Associations 

Lin actively participates in multiple professional associations and editorial roles. As an editor and reviewer for journals such as the International Journal of Disaster Risk Reduction and Journal of Advanced Research in Applied Sciences and Engineering Technology, Lin contributes to advancing knowledge across architectural and environmental sciences. Lin’s involvement extends to conferences like the IWEG 2024, where Lin serves as a reviewer and mentor.

 

 📚Training & Workshops 

Lin’s commitment to continuous learning and professional development is evident through numerous workshops and training sessions attended. These include Tzu Chi’s training programs on community resilience and disaster preparedness, as well as sustainability workshops aligned with SDGs. This ongoing training keeps Lin at the forefront of current trends and technologies in disaster-resilient architecture and sustainable urban planning.

 

🎤Oral Presentations and🗣️Thought Leadership 

Lin’s impactful presentations span international conferences, where Lin has been a Distinguished Speaker multiple times, such as at the Adv. ESCC 2023 and 2024. Topics presented include adaptive capacity-building, community-based earthquake management, and minimalist architecture. These presentations reflect Lin’s role as an authoritative voice in sustainable disaster-resilient architecture.

 

🧑‍🔬Tasks Completed as a Researcher 

As a researcher, Lin has completed critical tasks including the development of frameworks for adaptive capacity in earthquake-prone regions. Lin has also led projects on the evaluation of ecosystem services in Taiwan’s East Coast and urban planning projects in Hualien County. Lin’s hands-on approach in both individual and collaborative projects highlights an ability to translate theoretical frameworks into practical, community-beneficial applications.

 

🚀Success Factors 

Lin’s success stems from a blend of rigorous academic background, industry experience, and a dedication to impactful research. Attributes such as a collaborative spirit, commitment to community-centric projects, and continuous professional growth are integral to Lin’s achievements in academia and public service.

 

📖 Publications & Laboratory Experience

Lin’s extensive publication record and experience in architectural and disaster management labs demonstrate a practical application of theoretical research. As a project designer and researcher, Lin’s work includes public building designs such as museums, community centers, and disaster-resilient housing. This hands-on laboratory experience has shaped Lin’s approach to architecture, focusing on both resilience and sustainability.

 

🔍 Conclusion

Bih Chuan Lin is a distinguished academic and professional, known for contributions that blend architectural expertise with sustainable, disaster-resilient solutions. Lin’s career, spanning academia, public service, and consultancy, is dedicated to creating adaptive, inclusive, and sustainable communities. Through a holistic approach that encompasses design, community resilience, and ongoing research, Lin’s work leaves a lasting impact on the fields of architecture and disaster management.

 

📚Publications

  • Assessing the efficacy of adaptive capacity-building strategies in earthquake-prone communities

        Authors: Lin, B.C., Lee, C.H.

        Journal:  Geomatics, Natural Hazards and Risk

  • Constructing an adaptability evaluation framework for community-based disaster management using an earthquake event

        Authors: Lin, B.C., Lee, C.H.

        Journal:  International Journal of Disaster Risk Reduction

  • Conducting an adaptive evaluation framework of importance and performance for community-based earthquake disaster management

        Authors: Lin, B.-C., Lee, C.-H.

        Journal:  Natural Hazards

Enfa Fu | Environmental protection treatment | Best Researcher Award

Dr. Enfa Fu  –  Environmental protection treatment  –  Best Researcher Award

Anhui Jiangnan Chemical Industry Co. LTD | China

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Scopus

 

📍Current Position

Currently, Enfa Fu is a graduate researcher pursuing a Master’s and Doctoral degree in Materials Science and Engineering at the Nanjing University of Science and Technology. Since September 2016, he has been involved in advanced research on energetic polymer materials. This position has allowed him to hone his skills in polymer material preparation, drying, and combustion mechanisms, making substantial contributions to the field.

 

📝Publication Achievements

Fu has published several notable research articles in international journals, advancing the scientific understanding of energetic polymers:

Solvent Transport Dynamics in Nitrocellulose PropellantsDefence Technology

Modeling Solvent Behavior in Long Stick PropellantsDefence Technology

Thermal Decomposition of Propellants with PCM NanocompositesDefence Technology

Novel Superabsorbent Polymer Composites Based on α-celluloseCellulose

Numerical Simulation of Drying ProcessesConference Paper

 

🔍Ongoing Research

Fu has played a significant role in multiple national projects:

National Defense Administration Special Project: Focused on coating schemes for mixed ester propellants, Fu designed a propellant coating scheme, contributing to the propellant’s preparation and combustion mechanism.

Thirteenth Five-Year Plan Project: Investigated factors affecting the combustion performance of propellants, overseeing their design, preparation, and testing.

National Natural Science Foundation Project: Conducted research on the pyrolysis mechanisms of trapezoidal nitrocellulose, preparing low-sensitive nitrocellulose for use in high-combustion-efficiency applications.

China Ordnance Co. Innovation Competition: Led research on high-pressure combustion mechanisms, where he drafted project ideas and defended project summaries.

 

🔬 Research Interests

Enfa Fu’s interests span a wide range within materials science, particularly energetic polymer materials. His research addresses the following:

Combustion mechanisms

Drying mechanisms

Simulation of gas flow

Extrusion molding processes

 

🎓Academic Background

2016.09—Present: Nanjing University of Science and Technology
Master’s and Doctorate in Materials Science and Engineering.

2012.09—2016.06: Anhui University
Bachelor’s degree in Polymer Materials and Engineering.

With a solid foundation in polymer materials, Fu has pursued an in-depth educational path, earning prestigious degrees and developing expertise in energetic materials.

 

🏆Scholarships and Awards 

Fu has received multiple scholarships and honors:

Third Prize in the 6th Innovation Competition of China Ordnance Industry Group

Postgraduate Scholarship from Nanjing University of Science and Technology

Title of “Social Activist” at Nanjing University for his contributions beyond academics

First Prize in the National College Student Financial Elite Challenge

 

🌐Professional Associations 

Fu has actively engaged in various professional networks, connecting with industry leaders and other experts to further his understanding and expand his professional footprint.

 

 📚Training & Workshops 

His workshop participation and continuous training ensure that he remains up-to-date with cutting-edge technology and advancements in polymer materials and defense applications.

 

🎤Oral Presentations and🗣️Thought Leadership 

Enfa Fu has presented his research at multiple conferences, sharing his findings on gas flow simulations, drying mechanisms, and propellant combustion dynamics. His presentations demonstrate his ability to communicate complex ideas effectively.

 

🧑‍🔬Tasks Completed as a Researcher 

As a researcher, Fu has handled multiple responsibilities:

Preparation and testing of propellant materials

Design of coating schemes for propellant efficiency

Performance analysis using SEM, XRD, DSC, and other characterization tools

Writing applications for research funding and designing project structures

 

🚀Success Factors 

Fu’s success as a researcher stems from his technical skills in material preparation, analytical expertise in testing, and strategic thinking in project design. His proficiency in two- and three-dimensional modeling, numerical simulation, and data analysis has solidified his reputation as a capable and versatile researcher.

 

🔍 Conclusion

Enfa Fu’s journey reflects a commitment to advancing materials science, particularly in the field of energetic polymers. His diverse skills, extensive project experience, and published research have established him as a promising figure in this specialized field. His consistent achievements and practical expertise make him well-equipped to lead future innovations in materials science and polymer engineering. Fu’s dedication to understanding and improving material efficiency contributes meaningfully to both academic knowledge and practical applications in national defense, positioning him for impactful future contributions.

 

📚Publications

Preparation and performance studies on organic-inorganic phase change composites based on zeolitic imidazolate and paraffin for reducing gun barrel erosion.

    Authors:  Wang, Y., Pu, C., Luan, Y., Du, J., Xiao, Z.

    Journal:  Journal of Energy Storage

Review, recent advancements in zeolitic imidazole frameworks-67 (ZIF-67) and its derivatives for the adsorption of antibiotics

         Authors:  Saghir, S., Zhang, S., Wang, Y., Zahid, A.H., Pu, C.

         Journal:  Journal of Environmental Chemical Engineering

Novel superabsorbent polymer composite embedded with sodium alginate and diatomite for excellent water absorbency, water retention capacity, and high thermal stability

          Authors:  Wang, Y., Fu, E., Saghir, S., Xiao, Z.

         Journal:  Journal of Molecular Structure

Solvent transport dynamics and its effect on evolution of mechanical properties of nitrocellulose (NC)-based propellants under hot-air drying process

       Authors:  Fu, E., Yi, M., Liu, Q., Xiao, Z.

       Journal:  Defence Technology

Modeling and simulation of solvent behavior and temperature distribution within long stick propellants with large web thickness undergoing drying

        Authors:  Fu, E., Liu, Q., Luan, Y., He, W., Xiao, Z.

       Journal:  Defence Technology

Yukun Cheng | Algorithmic Game Theory | Best Researcher Award

Prof. Yukun Cheng  –  Algorithmic Game Theory –  Best Researcher Award

Jiangnan University | China

      Profil

Scopus

Scholar

📍Current Position

As a Professor, Dr. Cheng’s research focuses on complex themes in information economics, with an emphasis on algorithmic game theory, combinatorial optimization, and networked public goods.

 

📝Publication Achievements

Dr. Cheng’s publications include highly influential articles in top-ranked journals such as Games and Economic Behavior and Mathematics of Operations Research. She has recently co-authored papers addressing challenges like Sybil attacks in resource exchange networks, where her insights aid in understanding vulnerabilities and incentives in digital markets. Her work on network resource-sharing protocols explores the fairness of information and resource exchange. Noteworthy publications also include:

  • Algorithmic Equilibrium Challenges in the Digital Economy (2023) – A study on equilibrium strategies in the digital market.
  • Game-Theoretic Analysis for Green R&D Investment Strategies in the Vehicle Market (2023) – Examining eco-friendly R&D investment decisions.

 

🔍Ongoing Research

Dr. Cheng is currently involved in projects funded by the National Natural Science Foundation of China, such as:

  1. Algorithms and Complexity of Nash Equilibria in Networked Public Goods Games with Prosocial Behaviors (2025-2028) – Aiming to model equilibrium strategies where users display prosocial tendencies.
  2. Theory and Mechanism Design for Resource Sharing Games (2019-2022) – A completed study offering new insights into strategic sharing and utility maximization in shared environments.
  3. Strategy-proof Mechanism Design without Monetary Transactions (2013-2016) – Investigating fair allocation in games without money, critical for fair public resource access.

Her research extends to blockchain technology applications, where she has pioneered concepts for decentralized platforms, including a blockchain-based public donation system and a distributed file storage system, which are crucial for secure data sharing.

 

🔬 Research Interests

Her recent work explores strategic behavior in resource-sharing games and the implications of these interactions on digital economy platforms. Her expertise and mentorship benefit not only students but also the larger academic and technological community.

 

🎓Academic Background

Dr. Yukun Cheng is a distinguished scholar and doctoral advisor at the School of Business, Jiangnan University. She earned her Bachelor’s degree in Mathematics from Anhui University in 2002, followed by a Master’s from the Academy of Mathematics and Systems Science at the Chinese Academy of Sciences in 2005. She completed her Ph.D. at Shanghai University in 2010, specializing in algorithmic game theory and information economics. Dr. Cheng conducted postdoctoral research at Zhejiang University from 2010 to 2013 and visited the University of Melbourne in 2012–2013. Her work has since spanned critical areas such as combinatorial optimization and public goods.

 

🏆Scholarships and Awards 

Dr. Cheng has received numerous awards and acknowledgments, reflecting her influence and innovation in algorithmic game theory and economics. Notable awards include grants from the National Natural Science Foundation. Her patents include a permissionless distributed storage method and a microgrid energy trading system, underscoring her contributions to blockchain security and sustainable energy solutions.

 

🧬Bioinformatics 

While primarily focused on game theory, Dr. Cheng has recently explored intersections between bioinformatics and algorithmic optimization. This multidisciplinary approach aims to introduce game-theoretic strategies in bioinformatics, offering innovative ways to analyze biological data through cooperative strategies.

 

🌐Professional Associations 

Dr. Cheng is an active member of several academic societies and regularly collaborates with global institutions. Her partnerships span prestigious universities and research bodies, fostering an international perspective and a diverse research portfolio.

 

 📚Training & Workshops 

Dr. Cheng frequently participates in workshops and training on mechanism design and blockchain applications.

 

🎤Oral Presentations and🗣️Thought Leadership 

Notable presentations include her talk on Sybil attacks and network security at the International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2023), highlighting her expertise in digital economy vulnerabilities and collective strategy implementation.

 

🧑‍🔬Tasks Completed as a Researcher 

In her role as a professor and researcher, Dr. Cheng actively guides research projects, oversees doctoral theses, and manages the Jiangnan University Business School’s research collaborations. Her core tasks involve mentoring students, publishing pioneering research, and enhancing cross-disciplinary approaches within her team.

 

🚀Success Factors 

Dr. Cheng’s success stems from her innovative mindset and dedication to addressing real-world economic and technological issues. Her research has shaped strategic models that drive sustainable resource management and secure data exchanges, contributing to the greater good of the digital economy.

🧪Publications & Laboratory Experience

With extensive laboratory experience, Dr. Cheng has conducted numerous experiments on network resource-sharing protocols and data security applications, combining theory with practical implications. Her laboratory work has led to significant breakthroughs in blockchain and algorithmic research.

 

🔍 Conclusion

Professor Yukun Cheng’s remarkable contributions to game theory, blockchain technology, and digital economics position her as a leading researcher and educator. Her achievements in developing secure resource-sharing platforms and innovative mechanism designs underline her commitment to both academia and society. With her continued focus on collaborative economic models and strategic applications of game theory, Dr. Cheng’s work will undoubtedly drive advancements in technology and economics, making her an inspiring candidate for the Best Researcher Award.

📚Publications

  • An Improved Approximation Algorithm for the Capacitated Correlation Clustering Problem

        Authors:  Ji, S., Cheng, Y., Tan, J., Zhao, Z.

        Journal: International Journal of Foundations of Computer Science,

  • Cooperation models in automotive supply chain under low-carbon emission reduction policies

        Authors:  Cheng, Y., Yao, Z., Meng, T.

        Journal: Journal of Combinatorial Optimization

  • Decentralized Funding of Public Goods in Blockchain System: Leveraging Expert Advice

        Authors:  Li, J., Cheng, Y., Huang, W., Xie, J., Zhang, J.

        Journal: IEEE Transactions on Cloud Computing

  • Game-Theoretic Analysis for Green R&D Investment Strategies in the Vehicle Market

        Authors:  Yao, Z., Cheng, Y., Chen, J., Cui, X.

        Journal: Asia-Pacific Journal of Operational Research

  • Truthfulness of a Network Resource-Sharing Protocol

        Authors:  Cheng, Y., Deng, X., Qi, Q., Yan, X.

        Journal: Mathematics of Operations Research

 

Valerio Belardi | Mechanical Engineering | Best Researcher Award

Dr. Valerio Belardi  –  Mechanical Engineering  –  Best Researcher Award

University of Rome Tor Vergata | Italy

      Profil

Scopus

ORCID

📍Current Position

Dr. Valerio G. Belardi is an accomplished Assistant Professor of Machine Design at the University of Rome Tor Vergata. Additionally, he serves as an Adjunct Professor of Mechanical Engineering at the Catholic Institute of Technology. His career focus is on machine design, structural analysis, and the development of advanced modeling approaches for complex mechanical systems. His work extends into significant research projects in nuclear fusion, particularly in thermostructural analysis, lattice metamaterials, and tokamak reactor design methodologies. Through these endeavors, he has contributed extensively to both academic and applied engineering fields, making notable strides in materials and mechanical structural design.

 

📝Publication Achievements

Dr. Belardi’s contributions to the academic and professional engineering communities are reflected in his impressive portfolio of scientific publications. He is a published author in high-impact journals, where his work covers topics such as composite laminates, custom finite element modeling, composite lattice structures, and aluminum foam simulations. His peer-reviewed articles have gained recognition within the fields of machine design, nuclear fusion, and material science. Furthermore, his role as Guest Editor for notable issues like Advanced Finite Element Method and Its Applications in Applied Sciences (MDPI) and Theoretical and Numerical Analysis of Composite Structures in Buildings (MDPI) highlights his leadership in guiding specialized discussions within the engineering community.

 

🔍Ongoing Research

Dr. Belardi is involved in several ongoing projects that highlight his expertise and dedication to innovation. His projects are often interdisciplinary and international in nature, bringing together leading institutions and research centers. Some of his prominent projects include:

  • Cryostat System for DTT Reactor: Dr. Belardi led a project in collaboration with ENEA to design and validate a cryostat system for the DTT fusion reactor. This project involves complex analyses for operative and seismic conditions.
  • Multi-axial Fatigue Design of Metal Components: His work on multi-axial fatigue design, a collaboration with EUROfusion, aims to create criteria for predicting fatigue crack propagation in nuclear fusion environments, employing both experimental and finite element modeling approaches.
  • DEMO Divertor Pin Joints: Working with Culham Center for Fusion Energy, he is formulating structural integrity guidelines for critical components in fusion reactors.
  • Design of Metamaterials for Fusion Reactors: In partnership with various European institutions, Dr. Belardi is developing high-energy-absorbing tungsten lattice metamaterials, adding value to the DEMO and DTT fusion reactors.

 

🔬 Research Interests

Dr. Belardi’s research interests reflect a dedication to pushing the boundaries of machine design and structural analysis. He specializes in the analytical and numerical modeling of composite structures and bolted joints, stress analysis of welded joints, and aluminum foams. His expertise also extends to anisogrid lattice structures, genetic optimization algorithms, and the analysis of materials under extreme conditions, such as those found in fusion reactors. These areas of focus position him at the forefront of research in mechanical and structural engineering.

 

🎓Academic Background

Dr. Belardi’s academic journey began with a Bachelor’s degree in Mechanical Engineering from the University of Rome Tor Vergata, followed by a Master’s degree in the same discipline, graduating cum laude. In 2018, he completed his Ph.D. in Design, Manufacturing, and Operations Engineering with a scholarship from Avio S.p.A., where his thesis explored anisogrid composite lattice shells and bolted joints. These educational milestones laid a strong foundation for his expertise in advanced engineering practices, simulation, and design.

 

🏆Scholarships and Awards

Throughout his career, Dr. Belardi has received numerous awards and honors. Most notably, he earned the Materials 2022 Outstanding Reviewer Award from MDPI for his contributions to scientific peer review. His work is recognized not only in Italy but also internationally, through collaborations with EUROfusion, the ENEA research center, and other prestigious organizations.

 

🧬Bioinformatics 

While Dr. Belardi’s research is rooted in mechanical and structural engineering, his work occasionally intersects with bioinformatics through his development of analytical tools and simulation techniques that could benefit biological structural analyses. His analytical methods and structural simulations have the potential to be adapted for use in bioinformatics, particularly in areas where structural analysis is critical.

 

🌐Professional Associations 

Dr. Belardi is actively involved in numerous professional associations and international collaborations, including partnerships with EUROfusion and ENEA. His role within these organizations emphasizes his commitment to advancing engineering through multi-institutional teamwork, expanding the reach of his research and its potential applications.

 

 📚Training & Workshops 

Dr. Belardi has attended and contributed to workshops and training sessions, especially those connected to his research in nuclear fusion and finite element modeling. His attendance at conferences, like the EUROfusion WPDIV Monitoring Meetings and the International Conference on Stress Analysis (AIAS 2023), signifies his ongoing engagement with cutting-edge research discussions and advancements in his field.

 

🎤Oral Presentations and🗣️Thought Leadership 

An accomplished presenter, Dr. Belardi has delivered presentations at numerous international conferences. His recent presentations at EUROfusion and AIAS demonstrate his expertise and ability to communicate complex topics effectively. Through these talks, he shares his findings on structural assessment, fatigue design, and composite materials, making his insights accessible to broader audiences.

 

🧑‍🔬Tasks Completed as a Researcher 

Dr. Belardi has successfully led research tasks such as the optimization of composite lattice structures, finite element analysis for various reactor components, and methodologies for spot joint analysis. His work in these areas showcases a strong commitment to improving structural integrity and material efficiency in demanding applications.

 

🚀Success Factors 

The success of Dr. Belardi’s research can be attributed to his rigorous analytical skills, innovative approach to problem-solving, and extensive collaboration with both academic and industry partners. His ability to navigate complex projects with an interdisciplinary approach has allowed him to make significant contributions to machine design and structural analysis.

 

🧪Publications & Laboratory Experience

Dr. Belardi has an extensive background in laboratory research and simulation. His contributions in these settings include developing custom finite element modeling techniques, optimization workflows, and complex structural analyses for composite materials and welded joints. His laboratory experience strengthens his theoretical insights, enabling practical applications in machine design.

 

🔍 Conclusion

Dr. Valerio G. Belardi stands out as a dedicated and innovative researcher in machine design and structural analysis. His work has profoundly impacted nuclear fusion research and material science, positioning him as a respected figure in his field. His academic achievements, industry collaborations, and publication record testify to his commitment to advancing engineering knowledge and applications. Through his ongoing projects and research, Dr. Belardi is poised to continue influencing future developments in structural engineering and machine design.

📚Publications

  • Divertor Tokamak Test facility project: status of design and implementation

      Authors: Romanelli, F., Abate, D., Acampora, E., Zuin, M., Zumbolo, P.

      Journal: Nuclear Fusion

  • Multiaxial fatigue rule applied to disc specimens with variable thickness subjected to an equibiaxial stress state

      Authors: Villani, G., Aiello, G., Belardi, V.G., Vivio, F., You, J.-H.

      Journal: Fatigue and Fracture of Engineering Materials and Structures

  • Effects of seismic isolation on the dynamic behaviour of the DTT torus complex during earthquake events

      Authors: Fulici, M., Belardi, V.G., Dalla Palma, M., Vivio, F., Fanelli, P.

      Journal: Fusion Engineering and Design

  • Bending theory of composite pressure vessels: A closed-form analytical approach

      Authors: Belardi, V.G., Ottaviano, M., Vivio, F.

      Journal: Composite Structures

  • Structural Assessment of the DTT Cryostat Design

      Authors: Barone, G., Belardi, V., Palma, M.D., Polli, G.M., Vivio, F.

      Journal: IEEE Transactions on Plasma Science,

Zhiying Wang | emergency decision-making | Best Researcher Award

Prof. Dr. Zhiying Wang  –  emergency decision-making  –  Best Researcher Award

Anhui University of Technology | China

      Profil

Scopus

ORCID

📍Current Position

Zhiying Wang, Ph.D. is a Professor and Ph.D. Supervisor at the School of Management Science & Engineering, Anhui University of Technology in Ma’anshan, Anhui, China. Since December 2022, Dr. Wang has led the Center for Crisis Management and Decision Science. In addition to this role, Dr. Wang actively oversees research projects and academic programs in management and emergency decision-making.

 

📝Publication Achievements

Dr. Wang has made significant contributions to academic literature, focusing on decision-making, emergency response, and public opinion crisis management. Recent publications include: Applied Soft Computing – Emotion updating in multi-stage emergency decision-making. Nonlinear Dynamics – Interaction between rumors and behaviors using the SEIR-UD model. Granular Computing – Probabilistic linguistic term sets in decision-making. Each article reflects a rigorous approach to critical real-world issues, furthering the academic understanding of crisis management.

 

🔍Ongoing Research

Dr. Wang’s ongoing research projects delve into multi-stage intervention decisions, emergency management, and public opinion dynamics. Funded by the National Natural Science Foundation of China, these projects explore topics such as: Public Opinion Crisis Intervention – Studying asynchronous evolution and effective multi-stage interventions. Emergency Decision-Making Methods – Incorporating public opinion into decisions for handling major emergencies.

 

🔬 Research Interests

Dr. Wang’s research interests lie at the intersection of Public Opinion Crisis Management, System Optimization, and Decision Support Systems. These fields integrate behavioral science and systems engineering, contributing to effective and informed decision-making practices in emergencies.

 

🎓Academic Background

Dr. Wang holds an impressive academic record: Ph.D. in Management Science and Engineering (Nankai University, 2016) Master’s in Management Science and Engineering (Tianjin University of Technology, 2013) Bachelor’s in Information Management and Information Systems (Ludong University, 2010) These qualifications form a robust foundation in management science, allowing Dr. Wang to merge theory and practical application.

 

🏆Scholarships and Awards 

Dr. Wang has received numerous awards, including the Anhui Province Leading Talents Program for Higher Education: Wanjiang Scholar and the Foundation for Distinguished Young Scholars of Anhui Provincial Department of Education. These awards underscore the impact of Dr. Wang’s research and highlight his contributions to advancing crisis management science.

 

🧬Bioinformatics 

While not traditionally aligned with bioinformatics, Dr. Wang’s work with big data and predictive modeling in crisis scenarios has intersected with bioinformatics principles, especially during epidemiological crises.

 

🌐Professional Associations 

Dr. Wang is a member of several prestigious academic organizations, contributing actively to Management Science, Systems Engineering, and Decision Science forums.

 

 📚Training & Workshops 

Dr. Wang frequently participates in international conferences and workshops. During a Visiting Scholar Program at the University of Windsor, Dr. Wang engaged with leaders in decision science and management, exchanging insights on global crisis management trends and methods.

 

🎤Oral Presentations and🗣️Thought Leadership 

In conferences and seminars, Dr. Wang has presented on topics like public opinion crisis evolution and multi-stage decision-making under uncertainty. These presentations facilitate knowledge sharing and highlight Dr. Wang’s leading role in innovative management science research.

 

🧑‍🔬Tasks Completed as a Researcher 

Key tasks include: Leading Crisis Management Research Center – Dr. Wang has pioneered crisis management methodologies and trained a new generation of researchers. Developing Decision Support Models – Creating models that incorporate public opinion data, environmental factors, and crisis dynamics to support informed decision-making.

 

🚀Success Factors 

Dr. Wang’s success stems from an interdisciplinary approach combining systems theory, decision-making psychology, and practical applications. His commitment to addressing real-world crises positions him as a thought leader in emergency management.

 

🧪Publications & Laboratory Experience

Dr. Wang’s extensive publication record and laboratory experience underscore his proficiency in data-driven modeling and crisis simulation. His work in crisis prediction and public sentiment analysis has significantly advanced methodologies in the field.

 

🔍 Conclusion

Zhiying Wang, Ph.D., is a recognized expert in crisis management and emergency decision-making. As a professor, researcher, and mentor, Dr. Wang’s contributions continue to influence both academia and public policy. His efforts in developing innovative decision-support models have set new standards for managing public opinion crises.

📚Publications

A novel distance measure for probabilistic linguistic term sets with application to emergency decision-making

    Authors: Liu, H., Wang, Z., Jia, H.

    Journal: Granular Computing

A SEIR-UD model with reinforcement effect for the interaction between rumors and rumor-induced behaviors

    Authors: Zhao, H., Wang, Z., Zhao, H., Nie, H.

    Journal: Nonlinear Dynamics

An intuitionistic fuzzy grey-Markov method with application to demand forecasting for emergency supplies during major epidemics

    Authors: Wang, Z., Jia, H.

    Journal: Grey Systems

Emergency material distribution and transportation optimization model considering altruistic behavior of disaster victims | 考虑灾民利他行为的应急物资分配与运输优化模型

    Authors: Wang, Z., Fu, H., Nie, H., Chang, Z.

   Journal: China Safety Science Journal

Impact and trade off analysis of land use change on spatial pattern of ecosystem services in Chishui River Basin

   Authors: Luo, R., Yang, S., Wang, Z., Zhang, T., Gao, P.

    Journal: Environmental Science and Pollution Research

Mingxi Li | FinTech | Best Researcher Award

Ms. Mingxi Li  –  FinTech  –  Best Researcher Award

University of Illinois Urbana-Champaign | United States

      Profiles

Orcid

 

📍Current Position

Graduate Student, University of Illinois Urbana-Champaign (UIUC)
Mingxi Li is currently pursuing a Master’s degree in Predictive Analytics and Risk Management at UIUC, United States. Since August 2023, Mingxi has been deepening his expertise in data-driven methodologies and predictive modeling, holding an impressive GPA of 3.89. His coursework has focused on cutting-edge subjects such as Artificial Intelligence, Statistical Learning, Advanced Predictive Analytics, and Applied Bayesian Analysis, which have provided him with a solid foundation in risk management and predictive analytics

 

📝Publication Achievements

Mingxi’s research work has already gained visibility through two significant publications. In 2024, he co-authored a study, “Predicting Body Composition in the U.S. Population Using Machine Learning Models,” published in Medicine & Science in Sports & Exercise. This work focuses on applying machine learning to predict body composition metrics, contributing valuable insights to health-related AI applications. Additionally, an upcoming article in the North American Journal of Economics and Finance titled “Regional FinTech Development and Total Factor Productivity Among Firms: Evidence from China” is set to be published in 2025. This paper examines the impact of FinTech development on productivity, reflecting Mingxi’s versatility in applying AI to diverse fields, including finance.

 

🔍Ongoing Research

Mingxi’s ongoing research projects center on leveraging machine learning and predictive analytics across various fields. His recent project on a Recommendation System for Amazon Products utilized an LDA-based recommendation model to improve collaborative filtering using NLP techniques. Another notable project involves Predictive Modeling in Flight Data, where he employed Random Forest algorithms to predict flight ground times with accuracy-enhancing methods such as feature engineering and performance evaluation.

 

🔬 Research Interests

Mingxi’s research interests are broad yet focused within predictive analytics, covering essential areas such as risk management, AI, and data science applications. His passion for bioinformatics, as evidenced by his machine learning model work in medical data, showcases his drive to explore interdisciplinary applications of AI, particularly in healthcare and finance.

 

🎓Academic Background

Mingxi graduated with a Bachelor’s degree in Finance from Southwest University of Political Science & Law, China, in 2022, where he maintained a solid GPA of 3.5. His finance education included a robust curriculum focused on Corporate Finance, Financial Supervision, Financial Risk Management, and Finance Engineering. His journey into predictive analytics at UIUC allows him to merge his financial knowledge with AI, making him uniquely qualified for data-intensive finance roles.

 

🏆Scholarships and Awards 

Mingxi has shown exemplary academic performance, achieving a GPA of 3.89 in a rigorous program at UIUC. His dedication has not only earned him high grades but also contributed to several impactful projects in fields as varied as finance, health, and technology.

 

🧬Bioinformatics 

Mingxi’s work on predictive models for heart disease reflects his engagement with bioinformatics, where he applied machine learning models, such as Random Forest and XGBoost, to identify key predictors of heart disease with an accuracy of 83%. This expertise emphasizes his interdisciplinary skillset and commitment to using data science to solve real-world health issues.

 

🌐Professional Associations 

As part of his graduate journey, Mingxi actively engages in professional associations related to finance, data science, and risk management. These affiliations allow him to stay current on industry trends, collaborate with other professionals, and participate in discussions that shape his research and career path.

 

 📚Training & Workshops 

Mingxi has attended workshops focused on AI tools, machine learning, and data analytics, enhancing his technical expertise in Python, R, SQL, SPSS, MATLAB, and more. These sessions have equipped him with the skills needed to analyze and interpret complex datasets efficiently, preparing him for high-demand roles in the analytics field.

 

🎤Oral Presentations and🗣️Thought Leadership 

Mingxi has presented his projects at academic and professional platforms, particularly those related to predictive modeling in health and finance. His ability to effectively communicate complex models and their implications for real-world applications demonstrates his readiness for roles that require both technical expertise and client-facing skills.

 

🧑‍🔬Tasks Completed as a Researcher 

Mingxi’s portfolio includes various analytical projects with a strong research component, such as his work on Amazon’s Recommendation System and Flight Data Predictive Modeling. His ability to manage data processing, feature engineering, and model evaluation highlights his technical skills and attention to detail. Additionally, his role in developing predictive models for employee attrition and heart disease underlines his commitment to impactful, data-driven insights.

 

🚀Success Factors 

Mingxi’s success stems from a unique combination of analytical acumen, technical skills, and a proactive attitude toward interdisciplinary research. His expertise in both finance and data science, combined with his practical experience in machine learning and predictive analytics, gives him a competitive edge. His participation in projects such as Amazon’s recommendation system exemplifies his adaptability and creativity in solving diverse problems.

 

🧪Publications & Laboratory Experience

Mingxi’s laboratory and data analysis experience are well-documented through his publications and projects. His exposure to various data-processing environments and use of analytical tools like Stata, SPSS, and SQL reflect a comprehensive skill set. His publication on body composition prediction and ongoing work in FinTech analytics attest to his research capabilities and laboratory expertise.

 

🔍 Conclusion

Mingxi Li stands out as a dynamic and versatile candidate with strengths in predictive analytics, risk management, and data science. His educational background, bolstered by hands-on experience in finance and machine learning, positions him as a valuable asset to any data-intensive field. Mingxi’s interdisciplinary knowledge, combined with his commitment to innovation, will likely lead him to make significant contributions to both academia and industry.

📚Publications

Regional FinTech development and total factor productivity among firms: Evidence from China

     Authors: Yunzhong Li; Chengfang Ye; Mingxi Li; Wai Yan Shum; Fujun Lai

     Journal:  The North American Journal of Economics and Finance

Predicting Body Composition In The U.S. Population Using Machine Learning Models

       Authors: Huaijin Xu; Jason Situ; Ruibo Hou; Mingxi Li; Xiaotian Gao

       Journal: Medicine & Science in Sports & Exercise

 

Wei Zhang | Digital economy | Best Researcher Award

Assoc. Prof. Dr. Wei Zhang  –  Digital economy  –  Best Researcher Award

Chongqing University of Posts and Telecommunications | China

      Profil

Scholar

📍Current Position

Dr. Wei Zhang currently holds the position of Associate Professor at the School of Economics and Management at Chongqing University of Posts and Telecommunications (CQUPT). In this role, he specializes in digital economy and low-carbon economy, with extensive experience in research and academic mentorship. Dr. Zhang’s focus extends to decision-making consulting, where he contributes strategic insights on topics such as the “dual carbon” strategy and the digital economy. His influence has had a tangible impact, providing provincial leaders with policy guidance and contributing to both academic and practical advancements in his field.

 

📝Publication Achievements

Dr. Zhang has a robust publication record with over 20 academic papers published in high-impact journals like Science of the Total Environment and Applied Mathematical Modelling. These publications primarily focus on digital innovation, economic modeling, and sustainable development strategies. His research has garnered citations and recognition among peers, influencing discussions on modern economic practices. In addition to journal articles, Dr. Zhang has contributed to five monographs that explore the digital economy and low-carbon strategies in depth, thereby enriching the academic resources available for both students and professionals.

 

🔍Ongoing Research

Currently, Dr. Zhang is engaged in research that emphasizes sustainable economic practices within the digital economy. He is actively investigating carbon reduction strategies alongside the economic impacts of digital transformation. His work aligns with global initiatives on sustainability and environmental responsibility, and he leads 20 research projects funded by provincial and ministerial institutions. These projects are tailored to address the challenges of economic modernization and environmental sustainability.

 

🔬 Research Interests

Dr. Zhang’s primary research interests lie in the digital economy and low-carbon economy. He aims to identify actionable strategies that bridge the gap between economic growth and environmental responsibility. His interests also extend to sustainable business models, economic modeling for policy development, and decision-making frameworks in the digital era. This focus enables him to contribute to the evolving discourse on how economies can adapt to the digital age while prioritizing sustainability.

 

🎓Academic Background

Dr. Zhang has a comprehensive academic foundation that underscores his expertise in economics and environmental policy. Having completed numerous research-oriented projects, he has developed both theoretical and practical insights into economics and its applications within digital ecosystems. His work aligns closely with the academic and research standards set by CQUPT, where he serves as an influential educator and mentor.

 

🏆Scholarships and Awards 

Dr. Zhang’s dedication has earned him three prestigious awards for scientific research achievements at the provincial and ministerial levels. These awards not only highlight his significant contributions but also underscore the impact of his work on local and national policies. Additionally, Dr. Zhang’s research has been cited by provincial leaders, affirming the practical implications of his findings in shaping policy.

 

🧬Bioinformatics 

With the rise of bioinformatics and computational modeling, Dr. Zhang integrates economic theories with advanced data analytics to predict outcomes in both digital and low-carbon economies. His approach blends traditional economic concepts with bioinformatics tools, allowing for a more accurate analysis of trends and forecasting. This interdisciplinary focus provides a nuanced perspective on how digital and economic transformations impact both industry and society.

 

🌐Professional Associations 

Dr. Zhang is actively involved in professional associations related to economics and environmental science. His affiliations keep him at the forefront of emerging trends, allowing him to collaborate with fellow researchers and policymakers. These memberships enrich his perspective and enable him to contribute to policy and industry innovations.

 

 📚Training & Workshops 

To maintain his knowledge and skill set, Dr. Zhang regularly participates in workshops and training sessions focused on economic modeling, sustainable business practices, and digital transformation strategies. These training opportunities enhance his expertise, enabling him to provide updated knowledge and best practices to his students and colleagues.

 

🎤Oral Presentations and🗣️Thought Leadership 

Dr. Zhang is a sought-after speaker at academic and professional conferences. His presentations cover topics such as digital economy impacts, low-carbon strategies, and sustainable growth models, where he engages with audiences by discussing the practical applications of his research.

 

🧑‍🔬Tasks Completed as a Researcher 

Throughout his career, Dr. Zhang has completed numerous research tasks, including feasibility studies, economic impact analyses, and digital transformation assessments. He has also provided comprehensive reports to support decision-making at provincial levels, contributing to policy shifts and sustainable business model adoption.

 

🚀Success Factors 

Several factors contribute to Dr. Zhang’s success:

Interdisciplinary Expertise: His ability to blend digital innovation with economics sets his work apart.

Research Influence: Dr. Zhang’s research has directly impacted provincial policies and earned him recognition within academic and professional circles.

Commitment to Sustainability: His focus on sustainable and low-carbon economies ensures his work remains relevant and forward-looking.

 

🧪Publications & Laboratory Experience

Dr. Zhang’s laboratory experience includes conducting real-world economic simulations and experiments that explore sustainable growth and environmental policy impacts. His publications reflect this rigorous approach, addressing the digital economy and low-carbon strategies through empirical evidence and innovative modeling.

 

🔍 Conclusion

Dr. Wei Zhang is a respected figure in the fields of economics and sustainability, with a focus on the digital economy and low-carbon strategies. His contributions to academic research, coupled with his policy-shaping influence, make him a leading voice in sustainable economic practices. Dr. Zhang’s work at Chongqing University of Posts and Telecommunications continues to inspire and guide future generations of economists, creating a legacy that combines economic growth with environmental stewardship.

📚Publications

Event-based consensus of multi-agent systems with general linear models

     Authors: W Zhu, ZP Jiang, G Feng

     Journal :  Automatica

Event-triggering sampling based leader-following consensus in second-order multi-agent systems

      Authors: H Li, X Liao, T Huang, W Zhu
     Journal : IEEE Transactions on Automatic Control

Event-based leader-following consensus of multi-agent systems with input time delay

       Authors: W Zhu, ZP Jiang
       Journal: IEEE Transactions on Automatic Control 60 (5), 1362-1367

Leader-following consensus of second-order agents with multiple time-varying delays

Authors: W Zhu, D Cheng

 Journal : Automatica

Function projective synchronization for fractional-order chaotic systems

Authors: P Zhou, W Zhu

 Journal: Nonlinear Analysis: Real World Applications 12 (2)

Event-based impulsive control of continuous-time dynamic systems and its application to synchronization of memristive neural networks

Authors: W Zhu, D Wang, L Liu, G Feng

 Journal: IEEE Transactions on Neural Networks and Learning Systems

Second-order global consensus in multiagent networks with random directional link failure

Authors: H Li, X Liao, T Huang, W Zhu, Y Liu

 Journal: IEEE transactions on neural networks and learning systems

Event-triggered distributed average consensus over directed digital networks with limited communication bandwidth

Authors: H Li, G Chen, T Huang, Z Dong, W Zhu, L Gao

 Journal: IEEE transactions on cybernetics