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.

Behzad Nemati Saray | Mathematics | Best Researcher Award

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Assoc. Prof. Dr. Behzad Nemati Saray | Mathematics | Best Researcher Award

Institute for Advanced Studies in Basic Sciences (IASBS) | Iran

Assoc. Prof. Dr. Behzad Nemati Saray is a distinguished mathematician whose research spans numerical analysis, applied mathematics, and computational methods. With an impressive record of 840 citations, h-index of 17, and i10-index of 22, his work demonstrates significant academic influence, particularly in developing efficient algorithms and multiwavelet-based methods for solving differential and integro-differential equations. He has published over 30 refereed journal papers and numerous conference articles that address complex mathematical problems, including fractional equations, Burgers equations, and Sturm–Liouville systems. As a reviewer for MathSciNet (AMS) and an active contributor to international mathematical conferences, he has earned recognition for his leadership roles, such as Director-in-Charge of the Seasonal School in Mathematics at IASBS and Executive Board member in academic seminars. His scholarly excellence was acknowledged when he was named Best Researcher of the Year (2023) at the Institute for Advanced Studies in Basic Sciences (IASBS). Dr. Saray’s contributions to the fields of computational mathematics and applied analysis continue to advance numerical modeling, multiscale methods, and spectral techniques, making his research a cornerstone for future developments in applied and computational mathematics. His sustained impact reflects a deep commitment to innovation and precision in mathematical sciences.

Profiles : Scopus | Orcid | Google Scholar

Featured Publications

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. Multidisciplinary Digital Publishing Institute.

Shi, L., Nemati Saray, B., & Soleymani, F. (2024). Sparse wavelet Galerkin method: Application for fractional Pantograph problem. Journal of Computational and Applied Mathematics, 116081.

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. Multidisciplinary Digital Publishing Institute.

Ranjbari, S., Baghmisheh, M., Jahangiri Rad, M., & Nemati Saray, B. (2024). On the wavelet Galerkin method for solving the fractional Fredholm integro-differential equations. Computational Methods for Differential Equations.

Tarbiyati, H., & Nemati Saray, B. (2023). Weight initialization algorithm for physics-informed neural networks using finite differences. Engineering with Computers.

Afarideh, A., Dastmalchi Saei, F., & Nemati Saray, B. (2023). Eigenvalue problem with fractional differential operator: Chebyshev cardinal spectral method. Journal of Mathematical Modeling.

Shahriari, M., Nemati Saray, B., Mohammadalipour, B., & Saeidian, S. (2023). Pseudospectral method for solving the fractional one-dimensional Dirac operator using Chebyshev cardinal functions. Physica Scripta.

Pourfattah, E., Jahangiri Rad, M., & Nemati Saray, B. (2023). An efficient algorithm based on the pseudospectral method for solving Abel's integral equation using Hermite cubic spline scaling bases. Applied Numerical Mathematics.

Nemati Saray, B. (2022). On a multiwavelet spectral element method for integral equation of a generalized Cauchy problem. BIT Numerical Mathematics.

Nemati Saray, B. (2021). Pseudospectral method for solving fractional Sturm-Liouville problem using Chebyshev cardinal functions. Physica Scripta.

Nemati Saray, B. (2021). Abel’s integral operator: Sparse representation based on multiwavelets. BIT Numerical Mathematics.

Nemati Saray, B. (2021). On the sparse multiscale representation of 2-D Burgers equations by an efficient algorithm based on multiwavelets. Numerical Methods for Partial Differential Equations.

Nemati Saray, B. (2020). On the sparse multi-scale solution of the delay differential equations by an efficient algorithm. Applied Mathematics and Computation.

Nemati Saray, B. (2020). Reconstruction of the Sturm-Liouville differential operators with discontinuity conditions and a constant delay. Indian Journal of Pure and Applied Mathematics.

Nemati Saray, B. (2020). Heat and mass transfer investigation of MHD Eyring–Powell flow in a stretching channel with chemical reactions. Physica A: Statistical Mechanics and its Applications.

Nemati Saray, B. (2020). Sparse multiscale representation of Galerkin method for solving linear-mixed Volterra-Fredholm integral equations. Mathematical Methods in the Applied Sciences.

Fawaz Annaz | Engineering | Best Research Award

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Dr. Fawaz Annaz | Engineering | Best Research Award

Birmingham City University | United Kingdom

Dr. Fawaz Annaz is a distinguished researcher recognized for his extensive contributions to robotics, electromechanical systems, artificial intelligence, and mechatronics. With 622 citations, 9 h-index, and 9 i10-index, his scholarly impact spans decades of innovation and collaboration across Japan, the UK, Malaysia, and beyond. He has published over 60 research papers in leading Q1 and Q2 journals such as Aerospace Science and Technology and Sustainable Cities and Society. His pioneering patents—including a European patent for a new generation of industrial robots and a U.S. patent for a visual pronunciation dictionary—demonstrate his cross-disciplinary innovation bridging engineering and linguistics. Dr. Annaz has led several international research collaborations in UAV technologies, smart actuation, AI explainability, and biomedical systems such as the mono-pivot artificial heart. As a Chartered Engineer (CEng), Fellow of the Higher Education Academy (FHEA), and member of the Institution of Engineering and Technology (IET), he continues to advance global research in robotics, automation, and intelligent systems through academic leadership, external examining, and PhD supervision. His research excellence is reflected not only in his publication record but also in his lasting contributions to sustainable technological advancement and interdisciplinary innovation.

Profiles : Scopus | Orcid | Google Scholar

Featured Publications

Annaz, F. Y. (2025). Robust equalization of multi-lane electromechanical actuators: Comparative analysis of torque-summed and velocity-summed architectures. Aerospace Science and Technology, 2025, 111129. [Q1; IF = 5.8]

Nejati Amiri, M., Annaz, F., De Oliveira, M., & Gueniat, F. (2025, July 3–6). Deep reinforcement learning with local interpretability for transparent microgrid resilience energy management. Proceedings of the 5th International Conference on Electrical, Computer and Energy Technologies.

Nejati Amiri, M. H., Sandeep, D., Annaz, F. Y., De Oliveira, M., & Guéniat, F. (2025, March 16). Two-stage microgrid resilience and battery life-aware planning and operation for cyclone-prone areas in India. Sustainable Cities and Society. [Q1; IF = 10.5]

Rezazadeh, N., Annaz, F., Abdullah, W., Vieira Filho, J., & De Oliveira, M. (2025). A transfer learning approach for mitigating temperature effects on wind turbine blades damage diagnosis. Structural Health Monitoring, 0(0). [Q1; IF = 5.7]

Nejati Amiri, M., Annaz, F., De Oliveira, M., & Gueniat, F. (2024). Strategies for resilience and battery life extension in the face of communication losses for isolated microgrids. IEEE COINS 2024. (In press)

Annaz, F. Y. (2024). The impact of force equalization in minimizing the effect of drift in feedback transducers in torque-summed electromechanical actuators. Engineering Science and Technology, an International Journal, 49, 101597. [Q1; IF = 5.7]

Annaz, F. Y., & Kaluarachchi, M. M. (2023). Progress in redundant electromechanical actuators for aerospace applications. Aerospace, 10(9), 787. [Q2; IF = 2.6]

Idrissi, M., Salami, M., & Annaz, F. Y. (2022). A review of unmanned aerial vehicles: Applications, architectural design and control algorithms. Journal of Intelligent and Robotic Systems, 22(1). [Q1; IF = 3.3]

Idrissi, M., Annaz, F. Y., & Salami, M. (2021). Mathematical and physical modelling of a quadrotor UAV. IEEE Conference Proceedings.

Idrissi, M., Salami, M., & Annaz, F. Y. (2021). Modelling, simulation and control of a novel structure varying quadrotor. Aerospace Science and Technology, 2021(8). [Q1; IF = 5.6]

Annaz, F. Y. (2020). Force equalisation in torque-summed electromechanical actuators. Measurement, 156, 16. [Q1; IF = 5.6]

Idrissi, M., & Annaz, F. Y. (2020). Dynamic modelling and analysis of a quadrotor based on selected physical parameters. International Journal of Mechanical Engineering and Robotics Research, 9(6), 784–790. [Q3]

Annaz, F. Y. (2015). UAV testbed training platform development using Panda3D. Industrial Robot: An International Journal, 42(5), 450–456. [Q2; IF = 1.436]

Annaz, F. Y., & Khan, H. (2014). Hardware–virtual environment integration. Proceedings of the Institution of Engineering and Technology (IET), Brunei.