Tianyuan Xiao | Chemistry | Best Researcher Award

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Prof. Tianyuan Xiao | Chemistry | Best Researcher Award

Qiqihar University | China

Prof. Tianyuan Xiao is a distinguished researcher with a strong record of contributions to materials chemistry and sustainable energy research, having published 32 scientific documents that have garnered 247 citations , reflecting an h-index of 9. His research primarily explores deep eutectic solvents (DES), lignin nanoparticles, covalent adaptive networks, flame retardant materials, and lignin-based adhesive hydrogels, with an additional focus on density functional theory (DFT) for molecular modeling and analysis. Prof. Xiao’s studies are driven by the pursuit of sustainable and high-performance materials derived from lignocellulosic biomass. His recent influential works include “Recent Progress in Deep Eutectic Solvent (DES) Fractionation of Lignocellulosic Components: A Review” published in Renewable and Sustainable Energy Reviews and “Cracking Aryl Ether Bonds of Lignin by Gamma-Valerolactone (GVL) in Coordination with Acid Lithium Bromide Molten Salt System” in the International Journal of Biological Macromolecules. Through his research, Prof. Xiao has significantly advanced understanding of biomass valorization, solvent design, and green chemistry, offering novel insights into environmentally friendly processes for energy and materials innovation.

Profile : Scopus

Featured Publications

Xiao, T., Song, J., Jia, W., Sun, Y., Guo, Y., Fatehi, P., & Shi, H. (2025). Cracking aryl ether bonds of lignin by γ-valerolactone (GVL) in coordination with acid lithium bromide molten salt system. International Journal of Biological Macromolecules, 309(Part 1), 142643.

Xiao, T., Hou, M., Guo, X., Cao, X., Li, C., Zhang, Q., Jia, W., Sun, Y., Guo, Y., & Shi, H. (2024). Recent progress in deep eutectic solvent (DES) fractionation of lignocellulosic components: A review. Renewable and Sustainable Energy Reviews, 192, 114243.

Salman Shahzad | Social Sciences | Best Researcher Award

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Mr. Salman Shahzad | Social Sciences | Best Researcher Award

Xi'an Jiaotong University | China

Mr. Salman Shahzad is a distinguished legal researcher whose academic and scholarly work focuses on public-private partnerships, intellectual property law, and comparative legal systems. Currently pursuing a Ph.D. at Xi’an Jiaotong University, his research explores legal frameworks for public-private partnerships in emerging economies, particularly comparing Pakistan and China. He has earned recognition for his academic excellence, including awards from the New Silk Road Law School Alliance and multiple “Outstanding International Student” honors. His extensive participation in international conferences and training programs—ranging from AI law and corporate law to climate change and arbitration—reflects his interdisciplinary engagement with global legal challenges. With a strong foundation in intellectual property law from Zhongnan University of Economics and Law and an LLB from Abdul Wali Khan University, he has contributed significantly to discussions on copyright, patent harmonization, and digital regulation. His publications span topics such as AI liability, cyberbullying, and extradition law, featured in reputable platforms including ResearchGate and national newspapers. Mr. Shahzad’s active memberships in professional legal associations and contributions to legal education, writing, and policy discourse demonstrate his commitment to advancing legal scholarship and bridging comparative perspectives between national and international legal systems.

Profiles : Orcid | Google Scholar

Featured Publications

Shahzad, S., & Wang, B. (2025, June 2). Geographical indications and sustainable development: Bridging policy gaps in Pakistan’s GI framework for socio-economic growth. Sustainability, 17(11), 5114.

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

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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.

Gwo Dong Lin | Mathematics | Excellence in Research Award

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Prof. Gwo Dong Lin | Mathematics | Excellence in Research Award

Academia Sinica, Institute of Statistical Science | Taiwan

Prof. Gwo Dong Lin is a distinguished statistician and mathematician whose extensive contributions have profoundly influenced the fields of probability theory, moment problems, and life distribution analysis. With an h-index of 18, 71 published documents, and 933 citations from 783 sources, his scholarly output demonstrates both depth and enduring impact. He earned his Ph.D. in Management Science from Tamkang University, following earlier degrees in mathematics from National Taiwan Normal University. Over his career, Prof. Lin served at Academia Sinica’s Institute of Statistical Science, including roles as Deputy Director and Acting Director, and later as Adjunct Research Fellow. He has also directed the Social and Data Science Research Center under the Hwa-Kang Xing-Ye Foundation. His editorial work spans several international journals, and he has been an invited speaker at global conferences organized by the International Statistical Institute and other leading organizations. Recognized as an ISI Elected Member since 1991 and recipient of Taiwan’s Outstanding Research Award (1994–1995), Prof. Lin’s pioneering studies on characterizations of distributions, inequalities for transforms, and moment determinacy continue to shape modern statistical theory and inspire future explorations in applied probability and statistical modeling.

Profile : Scopus

Featured Publications 

Lin, G. D., & Stoyanov, J. (2025). New sufficient conditions for moment-determinacy via probability density tails. Mathematics, 13, 2671.

Dou, X., Kuriki, S., Lin, G. D., & Richards, D. (2025). EM estimation of the B-spline copula with penalized pseudo-likelihood functions. Statistical Papers, 66, 30.

Lin, G. D., & Stoyanov, J. (2024). New characterizations of the Gamma distribution via independence of two statistics by using Anosov’s theorem. Theory of Probability and Its Applications, 69, 745–759 (Russian edition); SIAM version, 69, 592–604.

Hu, C.-Y., & Lin, G. D. (2022). Characterizations of the normal distribution via the independence of the sample mean and the feasible definite statistics with ordered arguments. Annals of the Institute of Statistical Mathematics, 74, 473–488.

Lin, G. D., & Hu, C.-Y. (2022). On the semi-Mittag-Leffler distributions. Probability and Mathematical Statistics, 42, 81–96.

Hu, C.-Y., Lin, G. D., & Stoyanov, J. (2021). Characterization of probability distributions via functional equations of power-mixture type. Mathematics, 9, 271. Also in: L. Shaikhet (Ed.), Prime Archives in Applied Mathematics (2nd ed.). Hyderabad, India: Vide Leaf.

Lin, G. D., & Dou, X. (2021). An identity for two integral transforms applied to the uniqueness of a distribution via its Laplace–Stieltjes transform. Statistics, 55, 365–385.

Dou, X., Kuriki, S., Lin, G. D., & Richards, D. (2021). Dependence structures of B-spline copulas. Sankhyā: The Indian Journal of Statistics, Series A, 83, 238–311.

Lin, G. D., & Hu, C.-Y. (2021). Formulas of absolute moments. Sankhyā: The Indian Journal of Statistics, Series A, 83, 476–495.

Hu, C.-Y., & Lin, G. D. (2020). Necessary and sufficient conditions for unique solution to functional equations of Poincaré type. Journal of Mathematical Analysis and Applications, 491, 124399.

Stoyanov, J. M., Lin, G. D., & Kopanov, P. (2020). New checkable conditions for moment determinacy of probability distributions. Theory of Probability and Its Applications, 65, 634–648 (Russian edition); SIAM version, 65, 497–509.

Lin, G. D., Dou, X., & Kuriki, S. (2019). The bivariate lack-of-memory distributions. Sankhyā: The Indian Journal of Statistics, Series A, 81, 273–297.

Lin, G. D. (2019). On powers of the Catalan number sequence. Discrete Mathematics, 342, 2139–2147.

Hu, C.-Y., & Lin, G. D. (2018). Characterizations of the logistic and related distributions. Journal of Mathematical Analysis and Applications, 463, 79–92.

Lin, G. D. (2017). Recent developments on the moment problem. Journal of Statistical Distributions and Applications, 4, 5.

Lai, C.-D., Lin, G. D., Govindaraju, K., & Pirikahu, S. (2017). A simulation study on the correlation structure of Marshall–Olkin bivariate Weibull distribution. Journal of Statistical Computation and Simulation, 87, 156–170.

Juan Chen | Mathematics | Best Researcher Award

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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.

Hassan Ramchoun | Mathematics | Best Researcher Award

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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

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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.

 

Parvin Sharayei | Agricultural and Biological Sciences | Best Researcher Award

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Assoc. Prof. Dr. Parvin Sharayei | Agricultural and Biological Sciences | Best Researcher Award

AREEO | Iran

Author Profile

Scopus

🎓 Early Academic Pursuits

Dr. Parvin Sharayei’s journey into the realm of food science began at Ferdowsi University of Mashhad, where she earned her B.Sc. in Food Science and Technology (1990–1994). She continued to deepen her expertise with an M.Sc. from Tarbiat Modarres University (1994–1997) in Food Science and Technology. Her academic excellence culminated in a Ph.D. in Food Chemistry (2006–2010) from her alma mater, Ferdowsi University of Mashhad, laying the foundation for her impactful research career.

👩‍🔬 Professional Endeavors

With a career spanning over two decades at the Khorasan Razavi Agricultural and Natural Resources Research and Education Center, AREEO, Dr. Sharayei has steadily advanced through roles of increasing responsibility—from Research Lecturer (1997–2010), to Assistant Professor (2011–2018), and currently, Associate Professor (since 2018). Her longstanding affiliation reflects both her dedication and her leadership in agricultural food engineering research.

🧪 Contributions and Research Focus

Dr. Sharayei’s research is at the cutting edge of sustainable food science. Her recent work delves into the development of biodegradable films using agricultural waste like corn husks and saffron corm starch, and antimicrobial nanocomposite films leveraging natural resources. She has contributed significantly to extraction techniques for bioactive compounds from food waste (such as apple pomace, cinnamon, and pomegranate peel), and to the microencapsulation of valuable compounds like astaxanthin from shrimp shells. Her focus is both scientific and practical—aiming to improve food quality, safety, and sustainability.

🏅 Accolades and Recognition

Dr. Sharayei's prolific academic output includes articles in renowned journals such as International Journal of Biological Macromolecules, Starch/Stärke, LWT, and Journal of Food Process Engineering. Her repeated collaborations with global scholars and her role in advancing green and innovative food technologies underscore her respected standing in the international scientific community.

🌍 Impact and Influence

Through her interdisciplinary research, Dr. Sharayei has influenced both academic and applied fields in food science. Her studies on biodegradable materials and sustainable extraction processes offer real-world applications that support environmental preservation and food industry innovation. Her mentorship and collaborations have enriched the scientific community in Iran and beyond.

🔮 Legacy and Future Contributions

Looking forward, Dr. Parvin Sharayei is poised to further pioneer eco-friendly materials, food waste valorization, and advanced preservation techniques. Her work will continue to inspire new generations of researchers, fostering a more sustainable, health-conscious food system while anchoring Iran as a center for food technology research.

Publications

📄 Bioactive films from saffron corm and corn husk: A transformative solution for antioxidant and antimicrobial pistachio packaging
Authors: Parvin Sharayei, Razieh Niazmand, Mahboobe Sarabi Jamab, Yeganeh Sabeghi, Soodabeh Einafshar, Elham Azarpazhooh, Vahideh Sharif, Farzaneh Sharif
Journal: LWT – Food Science and Technology
Year: 2025

📄 Optimization of a novel antimicrobial nanocomposite film based on starch saffron corm incorporating nanoclay/lignin/extract using response surface methodology
Authors: Razieh Niazmand, Parvin Sharayei, M. Heydari-Majd, M. Sayahi
Journal: International Journal of Biological Macromolecules
Year: 2025

📄 Development of biodegradable films based on natural extract from the waste: Corn-husk derived materials and saffron corm starch
Authors: Parvin Sharayei, Razieh Niazmand, Yeganeh Sabeghi
Journal: Starch/Stärke
Year: 2025

📄 Enhanced recovery of apple pomace phenolic compounds: Optimizing subcritical water extraction
Authors: M. Derakhshan, A. H. Elhami Rad, M. Javanmard Dakheli, Parvin Sharayei, M. Armin
Journal: International Journal of Food Science
Year: 2025

📄 The impact of drying techniques on stabilizing microencapsulated astaxanthin from shrimp shells: A comparative study of spray drying versus freeze drying
Authors: Parvin Sharayei, A. Rohani, Yeganeh Sabeghi, D. Gandomzadeh
Journal: Journal of Food Process Engineering
Year: 2024

Xin Ding | Engineering | Best Researcher Award

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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