Prof. Dr. Davron Juraev | Best Researcher Award

Prof. Dr. Davron Juraev | Best Researcher Award

University of Economics and Pedagogy | Uzbekistan

Dr. Davron Aslonqulovich Juraev is a distinguished mathematician and researcher currently serving as a Research Fellow at the Scientific Research Center of Baku Engineering University, Azerbaijan. With an academic career spanning over a decade, he has previously held positions as Head of the Department of Natural Science Disciplines at the Higher Military Aviation School of the Republic of Uzbekistan and Associate Professor of Mathematics at Karshi State University. Dr. Juraev has authored 52 scientific documents, which have collectively received 449 citations and an h-index of 15, reflecting his growing international impact. His primary research interests encompass mathematical physics, partial differential equations, ill-posed problems, Cauchy problems, and spectral theory, with particular contributions to matrix factorization methods for the Helmholtz equation and inverse spectral problems. He has also explored fractal calculus, heat transfer models, and blockchain-based mathematical modeling. Dr. Juraev’s extensive collaborations with scholars worldwide have led to numerous high-impact publications in journals such as Symmetry, Engineering Reports, and Journal of Electronic Materials. His academic achievements underscore a profound dedication to advancing mathematical modeling and applied analysis, making him a recognized figure in theoretical and computational mathematics.

Profiles : Google Scholar | Orcid | Scopus

Featured Publications

 Juraev, D. A., Feyruz Efendiev, R., & Abdullaev, O. K. (2025). On an approximate solution of the Cauchy problem for the Helmholtz equation. Research in Mathematics, 2025(12-31). https://doi.org/10.1080/27684830.2025.2545036

Jamilov, U. U., Khamraev, A. Y., Norov, A. Z., Juraev, D. A., Nurhidayat, I., & Shah, M. A. (2025). On the family of non-constrained Volterra cubic operators. Research in Mathematics, 2025(12-31). https://doi.org/10.1080/27684830.2025.2528285

 Abdullayev, J. S., Sapaev, I. B., Abdullayev, J. S., Juraev, D. A., Jalalov, M. J., & Elsayed, E. E. (2025). Mathematical modeling of incomplete ionization in radial p-Si/n-GaAs heterojunctions: Temperature and doping effects. Journal of Electronic Materials, 54(11). https://doi.org/10.1007/s11664-025-12391-8

Abbasov, Z. D., Juraev, D. A., Abdullaev, O. K., Nurhidayat, I., & Shah, M. A. (2025). Heat transfer in n-dimensional parallelepipeds under zero Dirichlet conditions. Engineering Reports, 7(10). https://doi.org/10.1002/eng2.70458

 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. https://doi.org/10.3390/sym17101603

Assoc. Prof. Dr. Ateke Goshvarpour | Best Researcher Award

Assoc. Prof. Dr. Ateke Goshvarpour | Best Researcher Award

Imam Reza International University | Iran

Ateke Goshvarpour is a distinguished researcher at Imam Reza International University, renowned for her extensive contributions to biomedical signal processing, emotion recognition, and neurophysiological data analysis. With an impressive h-index of 20, over 1,093 citations, and 70 research publications, her work has significantly advanced the integration of computational intelligence and physiological signal modeling. She has co-authored several influential studies on electroencephalography (EEG), electrocardiography (ECG), photoplethysmography (PPG), and galvanic skin response (GSR) for emotion and mental disorder recognition. Dr. Goshvarpour earned her higher education in biomedical engineering and has accumulated years of academic and research experience focusing on nonlinear analysis, chaos theory, and machine learning applications in healthcare. Her recent works explore quantum-inspired models, graph-based EEG analysis, and spectral–spatiotemporal fusion for diagnosing schizophrenia and cognitive disorders. She has been recognized for developing innovative feature fusion techniques that enhance accuracy in automated emotion recognition and neurodiagnostic systems. Her publications in high-impact journals such as Cognitive Neurodynamics, Chaos, Solitons & Fractals, and Biomedical Signal Processing and Control underscore her leadership in the field. Through her pioneering research, she continues to shape the future of computational neuroscience and affective computing, bridging the gap between biomedical engineering and mental health diagnostics.

Profiles : Scopus | Google Scholar

Featured Publications

Goshvarpour, A., Abbasi, A., & Goshvarpour, A. (2017). An accurate emotion recognition system using ECG and GSR signals and matching pursuit method. Biomedical Journal, 40(6), 355–368. https://doi.org/10.1016/j.bj.2017.10.001

Goshvarpour, A., & Goshvarpour, A. (2019). EEG spectral powers and source localization in depressing, sad, and fun music videos focusing on gender differences. Cognitive Neurodynamics, 13(2), 161–173. https://doi.org/10.1007/s11571-018-9510-8

Goshvarpour, A., Abbasi, A., & Goshvarpour, A. (2017). Fusion of heart rate variability and pulse rate variability for emotion recognition using lagged Poincaré plots. Australasian Physical & Engineering Sciences in Medicine, 40(3), 617–629. https://doi.org/10.1007/s13246-017-0560-7

Goshvarpour, A., & Goshvarpour, A. (2020). Schizophrenia diagnosis using innovative EEG feature-level fusion schemes. Physical and Engineering Sciences in Medicine, 43(1), 227–238. https://doi.org/10.1007/s13246-019-00853-8

Goshvarpour, A., & Goshvarpour, A. (2018). Poincaré’s section analysis for PPG-based automatic emotion recognition. Chaos, Solitons & Fractals, 114, 400–407. https://doi.org/10.1016/j.chaos.2018.07.009