Davron Juraev | Data Modeling and Database Design | Research Excellence Award

Prof. Dr. Davron Juraev | Data Modeling and Database Design | Research Excellence Award

Research Fellow | Turon University | Uzbekistan

Prof. Dr. Davron Juraev is an internationally published mathematician whose research centers on ill-posed problems, elliptic systems, Cauchy problems, Helmholtz equation factorizations, mathematical physics, numerical analysis, and applied mathematical modeling. According to Google Scholar, he has 1,532 citations, 284 indexed documents, an h-index of 23, and an i10-index of 41, reflecting sustained global impact. His scholarship spans high-visibility journals and proceedings in mathematical physics, fractional calculus, spectral theory, computational mathematics, data analysis, and engineering applications, with extensive contributions to Helmholtz theory, regularization methods, and matrix factorization techniques. He has authored multiple research monographs and book chapters with international publishers, edited special issues in mathematical physics, and published across interdisciplinary domains including engineering systems, quantum decision models, and applied data sciences. His funded research leadership includes fundamental national and international collaborative projects, while his editorial board memberships, guest editorships, and reviewer service demonstrate recognized authority within the global applied mathematics and computational sciences community.

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Kunyuan Li | Data Modeling and Database Design | Research Excellence Award

Dr. Kunyuan Li | Data Modeling and Database Design | Research Excellence Award

Ph.D. Candidate | Army Engineering University of PLA | China

Dr. Kunyuan Li is an emerging interdisciplinary researcher whose work bridges mathematical theory and computational modeling, with a focus on fractal geometry, fractional calculus, and complex systems analysis. According to Scopus metrics, he holds 9 citations, 1 indexed document, and an h-index of 1, reflecting early but growing scholarly impact. His peer-reviewed publications in high-impact Q1 journals such as Fractals, Chaos, Solitons & Fractals, and Fractal and Fractional advance theoretical frameworks for self-affine curves, Hausdorff dimensions, and biological collective dynamics. His research contributions integrate numerical analysis, data-driven modeling, and artificial intelligence, supporting innovation across mathematics, nonlinear systems, and computational science.

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