Milena Ignatova | Chemistry | Best Researcher Award

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Prof. Milena Ignatova | Chemistry | Best Researcher Award

Institute of Polymers, Bulgarian Academy of Science | Bulgaria

Prof. Milena Ignatova is a distinguished researcher at the Laboratory of Bioactive Polymers, Institute of Polymers, Bulgarian Academy of Sciences (IP-BAS). Her prolific scientific career is reflected through 56 publications, cited 2,615 times by 2,070 documents, with an impressive h-index of 27. Her work primarily focuses on the design and synthesis of functional polymer materials derived from renewable and biodegradable sources. She has made remarkable contributions in developing electrospun nanofibrous and hybrid polymer materials with antibacterial, antioxidant, and anticancer properties. Prof. Ignatova has played a leading role in national and international research projects, including one as a principal investigator funded by the National Science Fund. Her research integrates polymer chemistry, nanotechnology, and biomedical applications to create multifunctional materials with potential uses in drug delivery, wound healing, and tissue engineering. Her studies on chitosan-, polylactide-, and poly(vinyl alcohol)-based electrospun fibers incorporating bioactive compounds such as rosmarinic acid and lidocaine have advanced the field of bioactive and smart materials. Through continuous innovation and international collaboration, Prof. Ignatova has established herself as a leading figure in polymer science, significantly contributing to the advancement of sustainable and biomedical polymer technologies.

Profiles : Scopus | Orcid | Google Scholar

Featured Publications

Ignatova, M., Paneva, D., Kyuchyuk, S., Manolova, N., Rashkov, I., Mourdjeva, M., & Markova, N. (2025). Multifunctional electrospun materials from poly(vinyl alcohol)/chitosan and polylactide incorporating rosmarinic acid and lidocaine with antioxidant and antimicrobial properties. Polymers, 17(19), 2657.

Anastasova, I., Ignatova, M., Manolova, N., Rashkov, I., Markova, N., Toshkova, R., Georgieva, A., Kamenova-Nacheva, M., Trendafilova, A., & Ivanova, V. (2024). Chitosan/hyaluronate complex-coated electrospun poly(3-hydroxybutyrate) materials containing extracts from Melissa officinalis and/or Hypericum perforatum with various biological activities: Antioxidant, antibacterial and in vitro anticancer effects. Polymers, 16(15), 2105.

Anastasova, I., Tsekova, P., Ignatova, M., & Stoilova, O. (2024). Imparting photocatalytic and antioxidant properties to electrospun poly(L-lactide-co-D,L-lactide) materials. Polymers, 16(13), 1814.

Ignatova, M., Manolova, N., Rashkov, I., Georgieva, A., Toshkova, R., & Markova, N. (2023). 5-Amino-8-hydroxyquinoline-containing electrospun materials based on poly(vinyl alcohol) and carboxymethyl cellulose and their Cu²⁺ and Fe³⁺ complexes with diverse biological properties: Antibacterial, antifungal and anticancer. Polymers, 15(14), 3140.

Spasova, M., Stoyanova, N., Nachev, N., Ignatova, M., Manolova, N., Rashkov, I., Georgieva, A., Toshkova, R., & Markova, N. (2023). Innovative fibrous materials loaded with 5-nitro-8-hydroxyquinoline via electrospinning/electrospraying demonstrate antioxidant, antimicrobial and anticancer activities. Antioxidants, 12(6), 1243.

Ignatova, M., Anastasova, I., Manolova, N., Rashkov, I., Markova, N., Kukeva, R., Stoyanova, R., Georgieva, A., & Toshkova, R. (2022). Bio-based electrospun fibers from chitosan Schiff base and polylactide and their Cu²⁺ and Fe³⁺ complexes: Preparation and antibacterial and anticancer activities. Polymers, 14(22), 5002.

Ignatova, M., Nachev, N., Spasova, M., Manolova, N., Rashkov, I., & Naydenov, M. (2022). Electrospun 5-chloro-7-iodo-8-hydroxyquinoline (clioquinol)-containing poly(3-hydroxybutyrate)/polyvinylpyrrolidone antifungal materials prospective as active dressings against Esca. Polymers, 14(3), 367.

Ignatova, M., Manolova, N., Rashkov, I., Markova, N., Kukeva, R., Stoyanova, R., Georgieva, A., & Toshkova, R. (2021). 8-Hydroxyquinoline-5-sulfonic acid-containing poly(vinyl alcohol)/chitosan electrospun materials and their Cu²⁺ and Fe³⁺ complexes: Preparation, antibacterial, antifungal and antitumor activities. Polymers, 13(16), 2690.

Ignatova, M., Stoyanova, N., Manolova, N., Rashkov, I., Kukeva, R., Stoyanova, R., Toshkova, R., & Georgieva, A. (2020). Electrospun materials from polylactide and Schiff base derivative of Jeffamine ED® and 8-hydroxyquinoline-2-carboxaldehyde and its complex with Cu²⁺: Preparation, antioxidant and antitumor activities. Materials Science and Engineering C, 111, 111185.

Stoyanova, N., Ignatova, M., Manolova, N., Rashkov, I., Toshkova, R., & Georgieva, A. (2020). Nanoparticles based on complex of berberine chloride and polymethacrylic or polyacrylic acid with antioxidant and in vitro antitumor activities. International Journal of Pharmaceutics, 119, 119426.

Ignatova, M., Manolova, N., Rashkov, I., & Markova, N. (2018). Antibacterial and antioxidant electrospun materials from poly(3-hydroxybutyrate) and polyvinylpyrrolidone containing caffeic acid phenethyl ester: “In” and “on” strategies for enhanced solubility. International Journal of Pharmaceutics, 548, 13–25.

Keon-Hyoung Song | Pharmacology, Toxicology and Pharmaceutical Science | Best Researcher Award

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Prof. Dr. Keon-Hyoung Song | Pharmacology, Toxicology and Pharmaceutical Science | Best Researcher Award

Soonchunhyang University | South Korea

Prof. Dr. Keon-Hyoung Song is a distinguished researcher whose work bridges pharmaceutical sciences, drug delivery systems, and pharmacokinetics. With 708 citations, 27 scholarly publications, and an h-index of 13, his research has significantly advanced the understanding of membrane permeation enhancers, drug formulation, and solubilization strategies. His extensive portfolio includes high-impact studies on intestinal absorption mechanisms, cocrystal engineering, and pharmacokinetic optimization, published in reputed journals such as Pharmaceutics, European Journal of Medicinal Chemistry, and Journal of Controlled Release. Prof. Song’s innovations extend beyond academia, with over 25 international patents registered across the U.S., Europe, and Korea, focusing on permeation-enhancing peptides, liposomal carriers, and pharmaceutical formulations. His pioneering patents, including those on mucous membrane permeation peptides (EP 3875103, 2025) and sugar alcohol-based liposome compositions, underscore his role in translating laboratory discoveries into therapeutic applications. Licensed as both a Patent Attorney and a Pharmacist, he effectively integrates regulatory insight with scientific innovation. Prof. Song’s sustained contributions to quantitative drug analysis using LC-MS and formulation optimization have made him a leading figure in advancing next-generation drug delivery technologies and pharmaceutical development.

Profile : Scopus

Featured Publications

Jeong, D.-H., Kim, J.-W., & Song, K.-H. (2025). Improved intestinal permeation of cyclosporin A by FCIGRL-modified tight junction modulator in rats. Pharmaceutics, 17(11), 1395.

Park, G., Galdamez, A., Song, K.-H., Le, M., Kim, K., & Lin, J. H. (2024). Ethnic variation and structure–function analysis of tauopathy-associated PERK alleles. Israel Journal of Chemistry, 64(12).

Song, K.-H. (2024). Effect of tight junction-modulating FCIGRL-modified peptides on the intestinal absorption of doxorubicin in rats. Pharmaceutics, 16(5), 650.

Jiang, F.-L., Jeong, D.-H., Eom, S.-H., Lee, H.-M., Cha, B.-J., Park, J.-S., Kwon, R.-K., Nam, J.-Y., Yu, H.-S., Heo, S.-H., Kim, C.-H., & Song, K.-H. (2024). Effects of enteric-coated formulation of sodium bicarbonate on bicarbonate absorption and gastrointestinal discomfort. Nutrients, 16(5), 744.

Koo, N. R., Yoon, S., Song, K.-H., Baek, M. J., Jeon, S., & Im, J. (2024). Tumor-homing peptide iRGD-conjugate enhances tumor accumulation of camptothecin for colon cancer therapy. European Journal of Medicinal Chemistry, 265, 116050.

Park, G., Xu, K., Chea, L., Kim, K., Safarta, L., Song, K.-H., Wu, J., Park, S., Min, H., Hiramatsu, N., Han, J., & Lin, J. H. (2023). Neurodegeneration risk factor EIF2AK3 (PERK) influences tau protein aggregation. The Journal of Biological Chemistry, 299(2), 102821.

Eom, Y. S., Jeong, D., Ryu, A.-R., Song, K.-H., Im, D. S., & Lee, M.-Y. (2022). Daphne odora exerts depigmenting effects via inhibiting CREB/MITF and activating AKT/ERK-signaling pathways. Current Issues in Molecular Biology, 44(8), 3312–3323.

Kim, H., Song, K.-H., Ambegaonkar, J. P., Chung, S., Jeon, K., Jiang, F. L., Eom, J. J., & Kim, C.-H. (2022). Two-megahertz impedance index prediction equation for appendicular lean mass in Korean older people. BMC Geriatrics, 22(1), 385.

Jiang, F., Tang, S., Eom, J.-J., Song, K.-H., Kim, H., Chung, S., & Kim, C.-H. (2022). Accuracy of estimated bioimpedance parameters with octapolar segmental bioimpedance analysis. Sensors, 22(7), 2681.

Yoon, Y. M., Lee, J. H., Song, K.-H., Noh, H., & Lee, S. H. (2020). Melatonin-stimulated exosomes enhance the regenerative potential of chronic kidney disease-derived mesenchymal stem/stromal cells via cellular prion proteins. Journal of Pineal Research, 68(3), e12632.

Lee, J. H., Yoon, Y. M., Song, K.-H., Noh, H., & Lee, S. H. (2020). Melatonin suppresses senescence-derived mitochondrial dysfunction in mesenchymal stem cells via the HSPA1L-mitophagy pathway. Aging Cell, 19(3), e13111.

Cha, S. J., Choi, H.-J., Kim, H.-J., Choi, E. J., Song, K.-H., Im, D. S., & Kim, K. (2020). Parkin expression reverses mitochondrial dysfunction in fused in sarcoma-induced amyotrophic lateral sclerosis. Insect Molecular Biology, 29(1), 56–65.*

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.

Uwingabire Solange | Agricultural and Biological Sciences | Women Research Award

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Dr. Uwingabire Solange | Agricultural and Biological Sciences | Women Research Award

University of Technology and Arts of Byumba | Rwanda

Dr. Uwingabire Solange is a distinguished researcher and academic whose work bridges forest sciences, agroforestry, and soil management with a focus on sustainable bioenergy and agricultural resilience in sub-Saharan Africa. As the General Secretary of the African Organization of Technology in Agriculture (AOTA) and a visiting lecturer at the University of Rwanda, she contributes significantly to advancing agricultural innovation and policy. Her research expertise encompasses agroforestry systems, soil fertility, and biochar technology, emphasizing climate-smart practices and rural development. She has published extensively in reputed journals, including Agronomy, Biofuels, Ambio, and the Rwanda Journal of Agricultural Sciences, contributing to global discussions on bioenergy, soil health, and sustainable farming. Her doctoral work on agroforestry for bioenergy and soil improvement demonstrates her commitment to integrating scientific knowledge with real-world environmental challenges. A member of several professional organizations such as the International Biochar Initiative (IBI), African Forest Forum (AFF), and Organization for Women in Science for the Developing World (OWSD), Dr. Solange actively promotes gender inclusivity and scientific collaboration in environmental research. Her scholarly contributions and leadership underscore her role as a driving force in sustainable land use, forest conservation, and agricultural transformation across Africa.

Profile : Orcid

Featured Publications

Uwingabire, S., Chamshama, S. A. O., Nduwamungu, J., & Nyberg, G. (2024). Gasifier use for cooking and biochar production by smallholder farmers in Rwanda. Biofuels, 1–8.

García-López, N., Uwingabire, S., Bargués-Tobella, A., Sundberg, C., Goodman, R. C., Boman, C., & Nyberg, G. (2024). An integrated agroforestry-bioenergy system for enhanced energy and food security in rural sub-Saharan Africa. Ambio.

Uwingabire, S., Chamshama, S. A. O., Nduwamungu, J., & Nyberg, G. (2024). French bean production as influenced by biochar and biochar blended manure application in two agro-ecological zones of Rwanda. Agronomy, 14(9), 2020.

Uwingabire, S., Nduwamungu, J., Nyberg, G., & Chamshama, S. A. O. (2023). Farmer-managed French bean biochar trials in Rwanda: Effects on yield and soil nutrients. Rwanda Journal of Agricultural Sciences, 3(2), 106–122.

Shingiro, C., Nyagatare, G., Hirwa, H., & Uwingabire, S. (2019). Effect of human urine and compost tea on soil physical and chemical properties: Case study Rubirizi Marshland. Journal of Agricultural Science and Engineering, 5(3), 61–66.

Uwisunzimana, F. X., Naramabuye, F. X., Munyaneza, O., Uwizeyimana, D., & Uwingabire, S. (2017). Effective investigation and computation of the soil erodibility factor in Karubanda watershed using USLE nomograph (K-factor) equation, Southern Province, Rwanda. International Journal of Science and Research, 7(6), 225–236.

Uwingabire, S., Msanya, B. M., Mtakwa, P. W., & Sirikale, S. (2016). Pedological characterization of soils developed on gneissic-granite in the Congo Nile Watershed Divide and Central Plateau zones, Rwanda. International Journal of Current Research (India), 8(9), 39489–39501.

Uwingabire, S., & Turinzwenayo, J. (2016). Spacing effect on macro and micro propagated plantlets, Rwanda. International Journal of Current Research (India), 8(11), 42507–42513.

Uwitonze, P., Msanya, B. M., Mtakwa, P. W., Uwingabire, S., & Sirikare, S. (2016). Pedological characterization of soils developed from volcanic parent materials of Northern Province of Rwanda. Agriculture, Forestry and Fisheries, 5(6), 225–236.

Chunyuan Yang | Economics, Econometrics and Finance | Best Research Award

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Mr. Chunyuan Yang | Economics, Econometrics and Finance | Best Research Award

Qujing Normal University | China

Mr. Chunyuan Yang is an emerging researcher in the field of Artificial Intelligence and computational design, contributing to the intersection of aesthetics, lighting, and intelligent systems. With an h-index of 1, 3 research documents, and 4 citations to his credit, his academic work reflects growing recognition in the AI-driven design domain. His recent publication, “An Aesthetic Modeling Model for Indoor Lighting in Artificial Intelligence Design under Color Contrast Conditions” in Procedia Computer Science (2025), explores innovative approaches to optimizing indoor lighting through AI-based modeling, focusing on the relationship between color contrast and visual perception. Mr. Yang’s research emphasizes the fusion of artificial intelligence with architectural and environmental aesthetics, enhancing user-centered design through computational creativity. His studies demonstrate the potential of machine learning algorithms to improve spatial quality and energy efficiency in interior environments. Through a multidisciplinary approach, he contributes to advancing intelligent lighting design, sustainable architecture, and human-centric computational modeling. His growing academic footprint highlights a promising trajectory in applied AI research within design and computational aesthetics.

Profile: Scopus

Featured Publication

Zhao, J., & Yang, C. (2025). An aesthetic modeling model for indoor lighting in artificial intelligence design under color contrast conditions. Procedia Computer Science, 262, 620–628.

 

Zhang Zhenqian | Neuroscience | Best Researcher Award

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Mr. Zhang Zhenqian | Neuroscience | Best Researcher Award

University of Toyama | Japan

Mr. Zhang Zhenqian is a dedicated researcher whose work bridges artificial intelligence, machine learning, and meteorology, with an emphasis on developing advanced neural network models for predictive analytics. His recent publication, “RD2: Reconstructing the Residual Sequence via Under Decomposing and Dendritic Learning for Generalized Time Series Predictions,” featured in Neurocomputing (October 2025), showcases his innovative approach to enhancing time series forecasting accuracy through the integration of dendritic learning mechanisms and residual sequence reconstruction. Collaborating with Houtian He, Zhenyu Lei, Zihang Zhang, and Shangce Gao, Mr. Zhang contributes to advancing the computational intelligence field by addressing challenges in dynamic data modeling and predictive reliability. His research explores the intersection of data-driven modeling and environmental systems, offering valuable insights for improving real-world forecasting, particularly in meteorological and environmental applications. With a growing scholarly presence and contributions recognized through peer-reviewed international publications, Mr. Zhang exemplifies a new generation of researchers committed to interdisciplinary innovation. His work not only strengthens the theoretical foundations of artificial intelligence but also demonstrates its transformative potential in understanding and managing complex natural and engineered systems.

Profile : Orcid

Featured Publication

Zhang, Z., He, H., Lei, Z., Zhang, Z., & Gao, S. (2025). RD2: Reconstructing the residual sequence via under decomposing and dendritic learning for generalized time series predictions. Neurocomputing, 131867.

Taehyun Lee | Economics, Econometrics and Finance | Best Researcher Award

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Ms. Taehyun Lee | Economics, Econometrics and Finance | Best Researcher Award

Korea University | South Korea

Ms. Taehyun Lee is an emerging researcher whose scholarly work explores the intersection of behavioral economics and personality psychology. Her recent publication, “The Relationship Between Household Debt and the Big Five Personality Traits,” in the Journal of Behavioral and Experimental Economics , co-authored with Almas Heshmati, examines how individual personality dimensions influence financial decision-making and debt behavior. This study contributes to understanding the psychological underpinnings of economic actions and the broader implications for household financial stability. Ms. Lee’s research demonstrates a commitment to integrating quantitative analysis with behavioral insights to address real-world economic issues. According to citation metrics, her academic contributions have received 2 citations from 2 documents, reflecting growing recognition in the field. She holds an h-index of 1, underscoring the early but promising trajectory of her research career. Through her work, Ms. Lee adds valuable empirical evidence to the discourse on how personality traits shape economic behavior, offering meaningful implications for policy formulation, consumer behavior analysis, and financial literacy initiatives.

Profiles : Orcid | Google Scholar

Featured Publication

Lee, T., & Heshmati, A. (2025). The relationship between household debt and the Big Five personality traits. Journal of Behavioral and Experimental Economics, 119, 102468.

Miraxmat Mirsaburov | Mathematics | Excellence in Research Award

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Mr. Miraxmat Mirsaburov | Mathematics | Excellence in Research Award

Termez State University | Uzbekistan

Mr. Miraxmat Mirsaburov is a mathematician whose research focuses on boundary-value and nonlocal problems for mixed-type and degenerate hyperbolic equations, with particular emphasis on singular coefficients, transmission conditions, and characteristic-based constraints. Across a corpus of 41 documents, his work—which has accrued 81 citations  yields an h-index of 5—systematically develops existence, uniqueness, and formulation results for classes of Gellerstedt-, Tricomi- and Bitsadze–Samarskii–type problems, addressing challenges such as missing Goursat or shift conditions, Frankl and Bitsadze–Samarskii analogues on degeneration segments, and problems posed in unbounded domains. His publications combine rigorous analytical techniques with careful handling of singularities and degeneracy lines, producing solvability theorems and novel transmission conditions that extend classical theory to more physically and geometrically complex settings. Collaborative work with colleagues has produced advances in generalizing the Tricomi problem, treating singular coefficients, and proposing integral and boundary frameworks adaptable to mixed elliptic–hyperbolic regimes. Mirsaburov’s contributions appear in respected journals (including Russian Mathematical Surveys, Differential Equations, and Lobachevskii Journal of Mathematics), and his sustained focus on mixed-type equations has provided useful tools and formulations for researchers addressing applied problems where equation type and coefficient singularities complicate classical approaches.

Profile : Scopus

Featured Publications

Mirsaburov, M., & Mamatmuminov, D. T. (2025). A problem with an analogue of the Bitsadze–Samarskii condition on the segment of degeneracy and an internal segment parallel to it in the domain for a certain class of degenerate hyperbolic equations. Russian Mathematics, 69, 19–23.

Mirsaburov, M., & Turaev, R. N. (2024). On a nonlocal problem for the Gellerstedt equation with singular coefficients. Differential Equations, 60, 1074–1086.

Mirsaburov, M. M., & Allakova, S. I. (2024). An analogue of the Zhegalov problem with data on internal characteristics for a mixed-type equation with a singular coefficient. Lobachevskii Journal of Mathematics, 45, 5637–5648.

Mirsaburov, M., Berdyshev, A. S., Ergasheva, S. B., & Makulbay, A. B. (2024). The problem with the missing Goursat condition at the boundary of the domain for a degenerate hyperbolic equation with a singular coefficient. Bulletin of the Karaganda University: Mathematics Series, 2(114), 147–164.

Mirsaburov, M., & Turaev, R. N. (2023). A problem in an unbounded domain with combined Tricomi and Frankl conditions on one boundary characteristic for one class of mixed-type equations. Russian Mathematics, 67, 34–46.

Mirsaburov, M., & Ergasheva, S. B. (2023). The problem in the unbounded domain with the Frankl condition on the segment of the degeneration line and with a missing Gellerstedt condition for a class of mixed-type equations. Russian Mathematics, 67, 18–26.

Mirsaburov, M., & Khurramov, N. K. (2021). A problem with local and nonlocal conditions on the boundary of the ellipticity domain for a mixed-type equation. Russian Mathematics, 65, 68–81.

V., M., & Islomov, N. B. (2021). Problem with a Bitsadze–Samarskii condition on parallel characteristics for a mixed-type equation of the second kind. Differential Equations, 57, 1358–1371.

Mirsaburov, M., Begaliev, O., & Khurramov, N. K. (2019). Generalization of the Tricomi problem. Differential Equations, 55, 1084–1093.

Mirsaburov, M., & Khurramov, N. (2020). A problem with the Bitsadze–Samarskii condition on the characteristics of one family and with general transmission conditions on the degeneration line for the Gellerstedt equation with a singular coefficient. Differential Equations, 56, 1050–1071.

Mirsaburov, M. (2018). The problem with missing shift condition for the Gellerstedt equation with a singular coefficient. Russian Mathematics, 62, 44–54.

Sophie Grigolo | Immunology and Microbiology | Young Researcher Award

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Mrs. Sophie Grigolo | Immunology and Microbiology | Young Researcher Award

University of Fribourg | Switzerland

Mrs. Sophie Grigolo is an emerging researcher specializing in cellular and molecular biology, with a strong focus on cancer research, particularly clear-cell renal-cell carcinoma (ccRCC). Her work encompasses extensive laboratory expertise in cell culture using human kidney cancer cell lines (A-498, ACHN, Caki-1, and Caki-2) and a range of analytical assays including BrdU Cell Proliferation, MTT, LDH, and Live-or-Dye™ Fixable Viability Staining. She is proficient in advanced molecular biology techniques such as polymerase chain reaction (PCR), agarose gel electrophoresis, western blotting, genotyping, flow cytometry, and immunohistochemistry (IHC), which she applies to elucidate cancer cell behavior and therapeutic responses. Her publications, including studies on immunotherapy in ccRCC and the role of IL-2 receptor expression in renal carcinoma cells, contribute to advancing understanding of tumor immunology and targeted therapies. Sophie has also shared her findings at prestigious scientific forums, including the International Student Congress of (bio)Medical Sciences and the Annual European Student Symposium on Anatomical Research, where her work has earned recognition for excellence. Through her research and technical acumen, she continues to contribute to the evolving field of cancer biology and the development of innovative therapeutic approaches.

Profile : Orcid

Featured Publications

Grigolo, S., Fellay, I., & Filgueira, L. (2025). IL-2 receptor expression in renal cell carcinoma cells: IL-2 influences cell survival and induces cell death. Current Issues in Molecular Biology, 47(10), 830.

Grigolo, S., & Filgueira, L. (2024). Immunotherapy of clear-cell renal-cell carcinoma. Cancers, 16, 2092.

Davron Juraev | Mathematics | Best Researcher Award

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Prof. Dr. Davron Juraev | Mathematics | Best Researcher Award

Turon University | Uzbekistan

Prof. Dr. Davron Juraev is a leading mathematical scientist recognized for his profound contributions to mathematical physics, numerical analysis, and applied mathematics, with a citation record of 1421 citations, an h-index of 22, and an i10-index of 39. His extensive publication portfolio covers topics such as the Cauchy problem, Helmholtz equations, fractional calculus, and ill-posed problems, making significant theoretical and computational advancements. Prof. Juraev has served as Editor-in-Chief of the Karshi Multidisciplinary International Scientific Journal (KMISJ) and on editorial boards of numerous international journals, including IETI Transactions on Data Analysis and Forecasting (iTDAF), Computational Algorithms and Numerical Dimensions (CAND), and Advanced Engineering Science (AES). He has also acted as a Guest Editor for special issues in Axioms (Switzerland) and Global and Stochastic Analysis (India). His research leadership extends to major projects funded by the Academy of Sciences of Uzbekistan and the Ministry of Innovative Development, focusing on dynamic systems and anti-radar missile trajectory optimization. Widely respected as a reviewer, collaborator, and innovator, Prof. Juraev’s works continue to influence contemporary research in computational modeling, differential equations, and mathematical problem-solving worldwide.

Profiles : Scopus | Orcid | Google Scholar

Featured Publications

Efendiev, R. F., Juraev, D. A., & Elsayed, E. E. (2025). PT-symmetric Dirac inverse spectral problem with discontinuity conditions on the whole axis. Symmetry, 17(10), 1603.

Martin, N., Yue, G. X. G., & Juraev, D. A. (2025). Plithogenic machine learning solutions to material selection in renewable energy systems. IETI Transactions on Data Analysis and Forecasting (iTDAF), 3(3), Article 57085.

Juraev, D. A. (2025). A mathematical model for the maintenance scheduling problem with disturbance effect and single maintenance team. Advanced Mathematical Models and Applications, 10(2), 304.

Basholli, F., Hayal, M. R., Elsayed, E. E., & Juraev, D. A. (2025). Deep learning for skin disease classification: A comparative study of CNN and CNN-LSTM architectures. Journal of Computing and Data Technology, 1(1), 40–49.

Niyozov, I. E., Juraev, D. A., Efendiev, R. F., & Abdalla, M. (2025). Cauchy problem for the biharmonic equation. Journal of Umm Al-Qura University for Applied Sciences, 5(2), 244.

Liu, T., Ding, B., Nemati Saray, B., Juraev, D. A., & Elsayed, E. E. (2025). On the pseudospectral method for solving the fractional Klein–Gordon equation using Legendre cardinal functions. Fractal and Fractional, 9(3), 177.

Annaghili, S., Efendiev, R., Juraev, D. A., & Abdalla, M. (2025). Spectral analysis for the almost periodic quadratic pencil with impulse. Boundary Value Problems, 2025(1), 27.

Abdulwahid, M. M., Kurnaz, S., Kurnaz Türken, A., Hayal, M. R., Elsayed, E. E., & Juraev, D. A. (2025). Performance analysis of input power variations in high data rate DWDM-FSO systems under various rain conditions. Journal of Optics, 54(1), 47.

Juraev, D. A., Agarwal, P., Shokri, A., & Elsayed, E. E. (2024). Cauchy problem for matrix factorizations of Helmholtz equation on a plane. In Recent Trends in Fractional Calculus and Its Applications (pp. 245–258). Elsevier.

Juraev, D. A., Agarwal, P., Shokri, A., & Elsayed, E. E. (2024). Integral formula for matrix factorizations of Helmholtz equation. In Recent Trends in Fractional Calculus and Its Applications (pp. 233–243). Elsevier.

Juraev, D. A., Noeiaghdam, S., Agarwal, P., & Agarwal, R. P. (2024). On the Cauchy problem for systems of linear equations of elliptic type of the first order in the space R^m. Turkish World Mathematical Society Journal of Applied and Engineering Mathematics, 4(1), 77–90.*

Juraev, D. A., Agarwal, P., Shokri, A., & Elsayed, E. E. (2024). The Cauchy problem for matrix factorizations of Helmholtz equation in space. In Recent Trends in Fractional Calculus and Its Applications (pp. 259–273). Elsevier.

Niyozov, I. E., Juraev, D. A., Efendiev, R. F., & Jalalov, M. J. (2024). The Cauchy problem for the system of elasticity. Journal of Contemporary Applied Mathematics, 14(2), 92.

Muxammedov, B. M., Sanko, A. A., Juraev, D. A., & Elsayed, E. E. (2024). Optimizing rocket trajectories: Advanced mathematical modeling in MATLAB/Simulink. International Journal of Information Technology, 16(12), 2162.

Putra, F. G., Putra, R. W. Y., Ricardo, S., Widyawati, S., & Juraev, D. A. (2024). Effectiveness of meaningful instructional design in improving students' mathematical skills. Journal of Philology and Educational Sciences, 32(5), 325.

Liu, T., Xue, R., Ding, B., Juraev, D. A., Nemati Saray, B., & Soleymani, F. (2024). A novel and effective scheme for solving the fractional telegraph problem via the spectral element method. Fractal and Fractional, 8(12), 711.

Elsayed, E. E., Hayal, M. R., & Juraev, D. A. (2024). Ensemble machine learning approaches for robust classification of maize plant leaf diseases. Journal of Modern Technology, 1(2), 87–93.

Egamberdiev, K., Khidirova, N., Juraev, D. A., & Elsayed, E. E. (2024). Numerical solution of groundwater modeling for mountain regions of Uzbekistan. Discover Water, 4(1), 159.