Sandip Kumar Sarkar | Business, Management and Accounting | Best Researcher Award

Dr. Sandip Kumar Sarkar | Business, Management and Accounting | Best Researcher Award

Saint Louis University | United States

Dr. Sandip Kumar Sarkar is an accomplished scholar in Information Systems, specializing in technology-mediated behavior, digital platforms, artificial intelligence, and enterprise resource planning (ERP). He earned his Ph.D. in Information Systems from the University of Arkansas, following dual MBAs in Enterprise Resource Planning from Lamar University and Marketing from the University of Dhaka, where he also completed his BBA. Currently serving as a faculty member at Saint Louis University, Dr. Sarkar teaches courses in business technology management, enterprise systems, and analytics. His research has been published in reputable journals such as the International Journal of Information and Learning Technology, and several papers are under review in leading outlets including Information Systems Journal and Information Systems Frontiers. His work explores critical aspects of user behavior in digital technology adoption, virtual reality learning, and ethical responses to AI-generated content. Dr. Sarkar has presented at international conferences such as ICIS, AMCIS, and NeuroIS, and actively contributes as a reviewer for major information systems conferences and journals. Recognized for academic excellence and leadership, he holds SAP certifications and continues to advance ERP education and AI-driven business technologies through his teaching, research, and service.

Profiles : Scopus | Orcid | Google Scholar

Featured Publications

Sarkar, S. K. (2024). How immersive experiences in digital technology influence postadoption behavior. International Journal of Information and Learning Technology, 1–16.

Juan Chen | Mathematics | Best Researcher Award

Assoc. Prof. Dr. Juan Chen | Mathematics | Best Researcher Award

Wuhan University of Science and Technology | China

Assoc. Prof. Dr. Juan Chen is a distinguished scholar in computational mathematics and complex network dynamics, currently serving at the College of Science, Wuhan University of Science and Technology. With a Ph.D. from Wuhan University, Dr. Chen has made significant contributions to nonlinear systems, synchronization, and complex network theory. Her prolific academic record includes 33 research documents, 432 citations, and an h-index of 13, reflecting her impact in the field. Dr. Chen’s works have appeared in leading journals such as IEEE Transactions on Network Science and Engineering, Chaos, Solitons and Fractals, and Expert Systems with Applications. She has authored influential books, including Synchronization of Complex Dynamical Networks, and contributed chapters to Springer handbooks. As a principal investigator and key collaborator on multiple National Natural Science Foundation of China projects, her research bridges mathematical theory and applied network science. Dr. Chen’s focus on synchronization, control, and robustness of complex networks highlights her pivotal role in advancing interdisciplinary computational research. Her dedication to exploring network behavior, information processing, and system dynamics positions her as an influential figure in contemporary applied mathematics and systems engineering.

Profiles : Scopus | Orcid

Featured Publications

Yin, L., Chen, J., Gao, F., & Wu, X. (2025). Coevolution of opinion and consumption behavior under a two-layer network framework. Physica A: Statistical Mechanics and its Applications, 680, 131020.

Yu, X., Tu, L., Chai, L., Wang, X., & Chen, J. (2024). Construction of implicit social network and recommendation between users and items via the ISR-RRM algorithm. Expert Systems with Applications, 235, 121229.

Chai, L., Tu, L., Yu, X., Wang, X., & Chen, J. (2023). Link prediction and its optimization based on low-rank representation of network structures. Expert Systems with Applications, 219, 119680.

Chai, L., Tu, L., Wang, X., & Chen, J. (2022). Network-energy-based predictability and link-corrected prediction in complex networks. Expert Systems with Applications, 207, 118005.

Shen, H., Tu, L., Guo, Y., & Chen, J. (2022). The influence of cross-platform and spread sources on emotional information spreading in the 2E-SIR two-layer network. Chaos, Solitons and Fractals, 165, 112801.

Chen, J., Li, X., Wu, X., & Shen, G. (2022). Prescribed-time synchronization of complex dynamical networks with and without time-varying delays. IEEE Transactions on Network Science and Engineering, 9, 4017–4027.

Zhang, P., Chen, J., Tu, L., & Yin, L. (2022). Layout evaluation of new energy vehicle charging stations: A perspective using the complex network robustness theory. World Electric Vehicle Journal, 13, 127.

Zhou, J., Chen, J., & Lu, J. (2017). On applicability of auxiliary system approach to detect generalized synchronization in complex networks. IEEE Transactions on Automatic Control, 62(7), 3468–3473.

Chen, J., Lu, J., & Zhou, J. (2013). Topology identification of complex networks from noisy time series using ROC curve analysis. Nonlinear Dynamics, 74, 1–8.

Zhang, Q., Chen, J., & Wan, L. (2013). Impulsive generalized function synchronization of complex dynamical networks. Physics Letters A, 377, 2754–2760.

Chen, J., Lu, J., Lu, X., Wu, X., & Chen, G. (2013). Spectral coarse graining of complex clustered networks. Communications in Nonlinear Science and Numerical Simulation, 18, 3036–3045.

Jiayang Gao | Business, Management and Accounting | Best Researcher Award

Assoc. Prof. Dr. Jiayang Gao | Business, Management and Accounting | Best Researcher Award

South China Normal University | China

Assoc. Prof. Dr. Jiayang Gao is an accomplished scholar in Management at the School of Economics and Management, South China Normal University, specializing in sustainability and innovation management. With an academic journey that began with a B.Sc. in Mathematics from Southeast University, followed by an M.Sc. in Computer Science at South China Normal University, and culminating in a Ph.D. in Management from Sun Yat-Sen University, Dr. Gao has built a strong interdisciplinary foundation. His academic career spans nearly two decades, serving as Lecturer from 2007 to 2025 before being appointed Associate Professor in 2025. He has further enriched his international experience as an Academic Visitor at the University of Birmingham and Loughborough University in the UK. Dr. Gao has authored 4 indexed documents with 39 citations across 39 scholarly records, achieving an h-index of 2, reflecting his growing influence in the field. His research explores mechanisms shaping emergent industries, institutional policy, and social psychology in workplace dynamics, with notable publications in Transportation Research Part D, Current Issues in Tourism, and Technological Forecasting and Social Change. He has also led and co-led several provincial and national research projects, particularly on clean energy vehicles, decent work, and digital industry transformation.

Profile : Scopus

Featured Publications

"Cold waves and electric vehicle adoption: Evidence from Chinese cities"
"Air quality and tourism orders: a quasi-experimental study"
"Forecasting the development of Clean energy vehicles in large Cities: A system dynamics perspective"
"Effects of Public Funding on the Commercial Diffusion of On-site Hydrogen Production Technology: A System Dynamics Perspective"
"Technical or Non-technical Innovation: Transformation Given Consideration to Decent Work by Small OEM Manufacturers"
"Did Industrial Upgrading Restrain Decent Work in the GPN Context: Based on Evidences from Guangdong Province"
"Study Review on FDI’s Impacts on Host Country Decent Work’s Main Index"
"State action on Online game industry and business marketing decision"
"Comparable study on Dynamic advantage among regional digital entertainment industry cluster"
"The comparison Study on online game industrial international Competitiveness between China and Korea"

 

 

Hassan Ramchoun | Mathematics | Best Researcher Award

Dr. Hassan Ramchoun | Mathematics | Best Researcher Award

Moulay Ismail University | Morocco

Author Profile

Scopus

Early Academic Pursuits

Dr. Hassan Ramchoun’s academic journey reflects a strong foundation in mathematics and computer science. Beginning with his bachelor’s studies in applied mathematics, he progressively advanced through a master’s degree in operations research and statistics, where he explored Bayesian approaches in artificial neural networks for medical imaging. His doctoral research in applied mathematics and computer science further solidified his expertise, focusing on parameter and hyper-parameter estimation in Bayesian neural networks with applications in classification and regression. These early experiences shaped his specialization in applied mathematics, artificial intelligence, and machine learning.

Professional Endeavors

Dr. Ramchoun has built a diverse academic career with teaching, research, and leadership responsibilities. Since joining ENCG Meknès, Moulay Ismail University, as a lecturer, he has also taught at multiple institutions including ENSAM Meknès and the Euro-Mediterranean University of Fès. His teaching portfolio covers a wide spectrum, from probability and statistics to optimization, data analysis, and artificial intelligence. His active engagement in curriculum design, supervision of students, and participation in doctoral juries reflects his deep commitment to higher education and student mentorship.

Contributions and Research Focus

Dr. Ramchoun’s research focuses on applied mathematics, artificial intelligence, and data science, with particular emphasis on Bayesian neural networks, deep learning, optimization, and statistical learning methods. He has contributed to developing new methods for training and optimizing neural networks, incorporating regularization and Bayesian inference. His work extends to multi-objective optimization for neural architectures, convolutional neural networks, and applications in big data analytics. His scholarly contributions are reflected in numerous publications in international journals and conferences, alongside editorial contributions to Springer volumes on artificial intelligence and industrial applications.

Accolades and Recognition

Dr. Ramchoun’s academic excellence has been acknowledged through distinctions such as the CNRST excellence research scholarship and his recognition for doctoral work with high honors. His research output is regularly published in reputed international journals including Neurocomputing, Knowledge-Based Systems, Soft Computing, and Evolving Systems. His active involvement as a reviewer for leading journals and as a member of scientific committees of conferences demonstrates recognition of his expertise by the global scientific community.

Impact and Influence

Through his work, Dr. Ramchoun has significantly influenced both the academic and applied dimensions of artificial intelligence. His innovations in neural network optimization and Bayesian learning methods have advanced understanding in machine learning research, while his teaching and supervision of master’s and doctoral students have contributed to developing future generations of researchers. By bridging theoretical modeling with practical applications, his contributions have relevance not only in academia but also in applied domains such as data science, robotics, and image processing.

Legacy and Future Contributions

The legacy of Dr. Ramchoun lies in his efforts to advance the integration of applied mathematics with artificial intelligence, particularly in deep learning and Bayesian modeling. His involvement in research projects, scientific committees, and international conferences ensures that his contributions extend beyond publications to shaping the field itself. Looking forward, his continued work in optimization techniques, advanced statistical learning, and interdisciplinary applications promises to strengthen the role of artificial intelligence in addressing scientific and industrial challenges.

Publications


  • Article: Convergence of batch gradient descent with learnable smooth masks for pruning feedforward neural networks
    Authors: Quasdane, M., Ramchoun, H., Masrour, T.
    Journal: Neurocomputing
    Year: 2025


  • Article: Enhancing CNN structure and learning through NSGA-II-based multi-objective optimization
    Authors: Elghazi, Khalid, Ramchoun, Hassan, Masrour, Tawfik
    Journal: Evolving Systems
    Year: 2024


  • Article: Implicitly adaptive optimal proposal in variational inference for Bayesian learning
    Authors: Bakhouya, Mostafa, Ramchoun, Hassan, Hadda, Mohammed, et al.
    Journal: International Journal of Data Science and Analytics
    Year: 2024


  • Article: Gaussian Mixture Models for Training Bayesian Convolutional Neural Networks
    Authors: Bakhouya, M., Ramchoun, H., Hadda, M., Masrour, T.
    Journal: Evolutionary Intelligence (Springer)
    Year: 2024


  • Article: Sparse smooth group L0L1/2 regularization method for convolutional neural networks
    Authors: Quasdane, M., Ramchoun, H., Masrour, T.
    Journal: Knowledge-Based Systems
    Year: 2023


Conclusion

Dr. Hassan Ramchoun exemplifies the qualities of a dedicated academic, innovative researcher, and committed educator. His career reflects a balance of teaching excellence, impactful research, and institutional service. With strong foundations in mathematics and expertise in artificial intelligence, his contributions are shaping the evolving landscape of machine learning and data science. His recognition, publications, and leadership in academic communities confirm his standing as an influential figure whose work will continue to resonate in both research and applied domains.

Shadi Hassanajili | Chemical Engineering | Best Researcher Award

Prof. Dr. Shadi Hassanajili | Chemical Engineering | Best Researcher Award

Shiraz University | Iran

Author Profile

Scopus

Orcid

Google Scholar

Early Academic Pursuits

Prof. Dr. Shadi Hassanajili laid a strong foundation in the field of chemical and polymer engineering through her studies at leading Iranian universities. Her academic journey began with a bachelor’s degree in chemical engineering, where she investigated the use of PVC plastisol as a synthetic leather material. She advanced her specialization with a master’s degree in polymer engineering, focusing on polyurethane and polypropylene blends for blood bag materials. Her doctoral research in polymer engineering at Tarbiat Modares University centered on polyurethane and polycaprolactone blends as cardiovascular implants, marking the beginning of her lifelong engagement with biomedical materials and polymeric innovations.

Professional Endeavors

Over the years, Prof. Hassanajili has held several significant academic and administrative positions at Shiraz University. Her career began as an assistant professor and evolved into leadership roles such as Head of the Department of Chemical Engineering and Vice Chancellor for Education and Graduate Studies. Rising to the rank of professor, she has made lasting contributions to teaching and institutional development. Her long-standing commitment to higher education reflects her ability to balance research, leadership, and mentoring with excellence.

Contributions and Research Focus

Prof. Hassanajili’s research spans a wide range of areas including biomedical materials, rheology of polymers, nanocomposites, polymeric membranes for gas separation, and ferrofluids for oil spill remediation. She has pioneered work in developing smart polymeric stents with anticoagulation properties, self-healing coatings for anti-corrosion, and nanocomposite gels for water management in hydrocarbon reservoirs. Her patents in polymer-coated nanoparticles, gas separation membranes, and oil pollution devices highlight her innovative approach to solving industrial and environmental challenges. Her research reflects a deep integration of polymer science with healthcare, energy, and environmental applications.

Accolades and Recognition

Throughout her career, Prof. Hassanajili has been recognized for academic excellence and innovation. She graduated with distinction at both the bachelor’s and master’s levels, earning top ranks in her field, and received the prestigious Excellent PhD Thesis Award. Her recognition extends to her patents and funded projects, which showcase her ability to translate research into impactful technological solutions. These honors underscore her standing as a leading figure in polymer and chemical engineering.

Impact and Influence

Prof. Hassanajili has had a profound influence on both academic and industrial spheres. Her work in polymer-based biomedical applications has advanced knowledge in cardiovascular implants, scaffolds, and wound-healing technologies. In the energy sector, her contributions to enhanced oil recovery, polymer-enriched water systems, and nanocomposites have improved efficiency and sustainability. Her teaching of core courses in thermodynamics, rheology, polymer engineering, and fluid mechanics has shaped generations of chemical engineers, while her leadership roles have strengthened Shiraz University’s position in scientific research and education.

Legacy and Future Contributions

The legacy of Prof. Hassanajili lies in her ability to bridge fundamental polymer science with applied engineering for human health, industry, and the environment. Her patents, publications, and collaborative projects with national industries demonstrate her forward-looking vision. With continued engagement in nanomedicine, self-healing materials, and environmentally responsive polymers, her future contributions are poised to further impact healthcare innovations and sustainable engineering practices.

Publications


  • Thermal and mechanical enhancement of poly (methyl methacrylate) microcapsules using multi-walled carbon nanotubes and hydrophobic silica nanoparticles
    Authors: Abed Khavand, Fereshteh Ayazi, Shadi Hassanajili
    Journal: Journal of Molecular Liquids
    Year: 2025


  • Fabrication of rapid self-healing thermoset polymer by the encapsulation of low-viscosity unsaturated vinyl ester resin and methyl ethyl ketone peroxide for the corrosion
    Authors: A. Khavand, S. Hassanajili
    Journal: Polymer Bulletin
    Year: 2024


  • Development and characterization of bio-based polyurethane flexible foams containing silver nanoparticles for efficient dermal healing application
    Authors: M.M. Soltanzadeh, M.R. Hojjati, S. Hassanajili, A.A. Mohammadi
    Journal: New Journal of Chemistry
    Year: 2024


  • Enhanced Natural Gas Sweetening with Ultralow H₂S Concentration via Polycarbonate-Silica Mixed Matrix Membranes
    Authors: R. Sadeghi, S. Hassanajili
    Journal: Korean Journal of Chemical Engineering
    Year: 2024


  • Zoledronate loaded polylactic acid/polycaprolactone/hydroxyapatite scaffold accelerates regeneration and led to enhance structural performance and functional ability of the radial bone defect in rat
    Authors: A. Oryan, S. Hassanajili, S. Sahvieh
    Journal: Iranian Journal of Veterinary Research
    Year: 2023


Conclusion

Prof. Dr. Shadi Hassanajili represents an exceptional blend of academic brilliance, pioneering research, and institutional leadership. From her early academic pursuits in chemical and polymer engineering to her current role as a professor and innovator, she has consistently advanced the boundaries of knowledge. Her contributions in biomedical polymers, nanocomposites, and environmental applications reflect both scientific depth and societal relevance. Her career stands as a testament to the role of dedicated scholarship in driving innovation, inspiring students, and shaping industries.

 

Xin Ding | Engineering | Best Researcher Award

Dr. Xin Ding | Engineering | Best Researcher Award

Shandong Jianzhu University | China

Author Profile

Scopus

Orcid

Early Academic Pursuits 🎓

Dr. Xin Ding’s journey in architecture began with an unwavering passion for sustainable and energy-efficient designs. She pursued a Bachelor’s Degree in Architecture at Politecnico di Torino, where she developed a strong foundation in structural design, environmental adaptation, and architectural aesthetics. Her academic excellence was further reinforced when she earned a Master’s Degree in Sustainable Architecture and Landscape Design from Politecnico di Milano, achieving an impressive final grade of 106/110. Driven by her commitment to eco-conscious construction, she is currently advancing her expertise with a Ph.D. in Green Building at Shan Dong Jian Zhu University, focusing on energy-efficient and climate-responsive architectural solutions.

Professional Endeavors 🏢

Dr. Ding has seamlessly blended academic research with practical application through her diverse professional experiences. As an Assistant Architect, she contributed to innovative architectural projects at Modum Architects in Nanjing, Peter Jaeger Architetti in Torino, and LGC Ingegneria e Architettura in Italy. Her experience in multiple international firms has allowed her to apply cutting-edge sustainability principles to real-world designs. She has also participated in bidding projects and international architecture competitions, showcasing her ability to innovate and push the boundaries of sustainable architecture.

Contributions and Research Focus 📚

A dedicated researcher, Dr. Ding has made significant contributions to green building technologies and biophilic architecture. Her research focuses on energy efficiency, carbon footprint reduction, and climate-responsive design strategies. Some of her most notable publications include:

  • Energy Efficiency in Biophilic Architecture – A systematic review and analysis of sustainable architectural solutions using CiteSpace and VOSviewer (Buildings, 2024).
  • Data-Driven Photovoltaic Systems in Academic Buildings – Research on carbon emissions, energy payback, and comfort in climate-responsive structures (Building and Environment, 2025).
  • Winter Thermal Comfort in Nursing Homes – A field study addressing thermal comfort in healthcare facilities in China (Buildings, 2024).

Her work has shaped the future of energy-efficient building design and has been widely referenced in sustainable architecture research.

Accolades and Recognition 🏆

Dr. Ding’s pioneering research and dedication to sustainability have earned her recognition as one of the leading voices in the field. Her contributions have been acknowledged through academic awards, research grants, and industry accolades. She has also been a key participant in international architectural competitions, further solidifying her reputation as an influential thinker and practitioner in sustainable architecture.

Impact and Influence 🌎

Dr. Ding’s research is not just theoretical—it has real-world applications that contribute to the global sustainability movement. Her work on biophilic design, photovoltaic energy integration, and climate-adaptive buildings is shaping how cities and communities transition toward net-zero architecture. She has also mentored aspiring architects and collaborated with international experts, amplifying her influence in academia and industry.

Legacy and Future Contributions 🔮

With a firm commitment to sustainable innovation, Dr. Ding continues to pioneer research in green building and climate-adaptive architecture. She aims to further explore advanced smart-building materials, renewable energy solutions, and urban sustainability strategies. Her legacy will inspire future generations of architects and researchers to build a world where architecture harmonizes with nature.

Publications


  • 📄 Energy Efficiency in Biophilic Architecture: A Systematic Literature Review and Visual Analysis Using CiteSpace and VOSviewer
    Author(s): Ding, X., Cui, Y., Chen, Z., & Zhang, H.
    Journal: Buildings
    Year: 2024


  • 📄 Data-driven Approach of Academic Building-integrated Photovoltaic System Based on Carbon Emission, Energy Payback Time and Comfort: Considering Climate Change
    Author(s): Zhengshu Chen, Yanqiu Cui, Dexuan Song, Haichao Zheng, Xin Ding, Haoran Yang
    Journal: Building and Environment
    Year: 2025


  • 📄 Field Study on Winter Thermal Comfort of Occupants of Nursing Homes in Shandong Province, China
    Author(s): Sun, N., Ding, X., Bi, J., & Cui, Y.
    Journal: Buildings
    Year: 2024

 

Zetian Si | Energy | Best Researcher Award

Mr. Zetian Si | Energy | Best Researcher Award

Lanzhou Jiaotong University | China

Author Profile

Scopus

🌱 Early Academic Pursuits

Mr. Zetian Si pursued his academic journey with a focus on Engineering Thermophysics, earning his Doctorate from Nanjing University of Aeronautics and Astronautics. His early research laid the foundation for his expertise in industrial wastewater treatment and energy systems, demonstrating a strong commitment to solving complex environmental and engineering challenges.

💼 Professional Endeavors

Currently an associate professor at Lanzhou Jiaotong University's School of Environmental and Municipal Engineering, Mr. Si has dedicated his career to advancing the fields of industrial wastewater treatment, energy-efficient technologies, and intelligent mechanical fault diagnosis. His research integrates cutting-edge techniques to enhance sustainability in industrial processes.

🔬 Contributions and Research Focus

Mr. Si's work primarily revolves around vacuum membrane distillation systems and mechanical vapor recompression for wastewater treatment. He has authored 20 SCI papers and holds two invention patents, highlighting his contributions to improving heat and mass transfer in energy and environmental systems. His notable publications include studies on sulfuric acid waste treatment and hybrid membrane distillation systems.

🏆 Accolades and Recognition

With multiple high-impact research papers and patents, Mr. Si has established himself as a thought leader in his field. His studies have been cited in prominent journals such as Desalination, Journal of Environmental Management, and Industrial Water Treatment, showcasing the global recognition of his research.

🌍 Impact and Influence

Mr. Si's innovative approaches to industrial wastewater management and energy efficiency have practical applications in environmental protection and sustainable industrial practices. His research has influenced advancements in membrane distillation technology, contributing to the development of cleaner and more efficient water treatment systems.

🔮 Legacy and Future Contributions

As an active researcher, Mr. Si continues to explore new frontiers in energy systems and environmental engineering. His future contributions are expected to drive further innovations in sustainable water treatment, intelligent mechanical diagnostics, and energy-efficient industrial solutions, making a lasting impact on both academia and industry.

 

Publications


📄  Performance Prediction of Vacuum Membrane Distillation System Based on Multi-Layer Perceptron Neural Network
 Author(s): Si, Z., Li, Z., Li, K., Li, Z., Wang, G.
 Journal: Desalination
 Year: 2025


📄  Research on Heat and Mass Transfer Characteristics of Vacuum Membrane Distillation Device for Sulfuric Acid Solution
 Author(s): Wang, X., Si, Z., Zhang, L.
 Journal: Desalination and Water Treatment
 Year: 2025


📄  Experimental Study on the Treatment of Sulfuric Acid Waste by Hollow Fiber Vacuum Membrane Distillation
 Author(s): Zhang, L., Si, Z., Xiao, F., Zhou, C.
 Journal: Industrial Water Treatment
 Year: 2024


📄  Experimental Study on Vacuum Membrane Distillation System of Hollow Fiber Coupled with Mechanical Vapor Recompression
 Author(s): Deng, L., Si, Z., Li, Z., Zhang, Y.
 Journal: Industrial Water Treatment
 Year: 2024


📄 Experimental Investigation on the Hybrid System of Mechanical Vapor Recompression and Hollow Fiber Vacuum Membrane Distillation Applied for Wastewater Treatment
 Author(s): Si, Z., Li, Z., Zhuang, X., Zhou, D.
 Journal: Journal of Environmental Management
 Year: 2024


📄  Performance Comparison of Vertical and Horizontal Vacuum Membrane Distillation Module Coupled with Mechanical Vapor Recompression
 Author(s): Si, Z., Zhang, Y., Zhuang, X., Li, Z., Xiang, J.
 Journal: Desalination
Year: 2024