Khaled Gepreel | Embedded Systems | Innovative Research Award

Innovative Research Award

Khaled Gepreel — Zagazig University
Khaled Gepreel
Affiliation Zagazig University
Country Saudi Arabia
Scopus ID 7801499039
Documents 178
Citations 3,835
h-index 32
Subject Area Embedded Systems
Event Global CSE Awards
ORCID 0000-0001-5542-8694

Khaled Gepreel is presented in this article as a researcher associated with Zagazig University whose profile emphasizes embedded systems and related computational research. The available record includes 178 documents, 3,835 citations, and an h-index of 32. These indicators provide context for assessing research activity, visibility, scholarly influence, and recognition outcomes.[1]

Abstract

This article presents an academic recognition profile for Khaled Gepreel, associated with Zagazig University and identified with an Embedded Systems subject area. The profile records 178 documents, 3,835 citations, and an h-index of 32. Three referenced studies examine optical solitons, nonlinear Schrödinger equations, fractional neuronal models, bifurcation behavior, and optical metamaterials. These publications illustrate research involving analytical methods and nonlinear mathematical modeling across interdisciplinary contexts. The article summarizes the research profile, contributions, publications, bibliometric indicators, and suitability for consideration by the Global CSE Awards, while emphasizing verification and balanced interpretation of metrics alongside scholarly quality and documented research contributions.[1][2][3]

Keywords

  • Innovative Research Award
  • Khaled Gepreel
  • Embedded Systems
  • Optical Solitons
  • Nonlinear Schrödinger Equations
  • Fractional Differential Equations
  • Bifurcation Analysis
  • Nonlinear Mathematical Modeling
  • Optical Metamaterials

Introduction

Khaled Gepreel is presented in this article as a researcher associated with Zagazig University whose profile emphasizes embedded systems and related computational research. The available record includes 178 documents, 3,835 citations, and an h-index of 32. These indicators provide context for assessing research activity, visibility, scholarly influence, and recognition outcomes.[1]

Research Profile

The supplied profile identifies Khaled Gepreel with Zagazig University and an Embedded Systems subject area. Bibliometric information lists 178 documents, 3,835 citations, and an h-index of 32, while Scopus identifier 7801499039 provides a distinct author record. These data offer a concise basis for describing publication activity and scholarly impact, documented.[2]

Research Contributions

The supplied publications indicate research involving nonlinear mathematical models, optical solitons, fractional differential frameworks, neuronal dynamics, and optical metamaterials. The studies employ analytical solution techniques and bifurcation analysis to investigate complex systems. Collectively, these topics demonstrate methodological engagement with mathematical modeling and nonlinear phenomena across interdisciplinary research contexts and applications. [1][2][3]

Publications

Three publications supplied for this article illustrate a research trajectory centered on nonlinear equations and optical soliton phenomena. The works address stochastic effects in derivative nonlinear Schrödinger equations, exact solutions and bifurcations in a fractional FitzHugh–Nagumo model, and soliton solutions in optical metamaterials, respectively, providing representative evidence of scholarly output.[1][2][3]

Research Impact

The supplied bibliometric indicators suggest substantial scholarly visibility, with 3,835 citations associated with 178 documents and an h-index of 32. Citation counts and h-index values should be interpreted as contextual indicators rather than complete measures of research quality. Publication venue, methodological rigor, collaboration, reproducibility, and field norms remain complementary considerations. [1][2]

Award Suitability

For an Innovative Research Award assessment, the supplied profile presents relevant indicators, including sustained publication activity, citation visibility, and work addressing mathematically challenging nonlinear systems. The publication examples demonstrate analytical and interdisciplinary themes. Final award decisions should additionally consider verified records, originality, documented contributions, peer assessment, and specific award criteria. [1][2][3]

Conclusion

The supplied information presents Khaled Gepreel as an active researcher with a listed publication record and measurable citation impact. His referenced studies cover nonlinear mathematical modeling and optical phenomena. The evidence supports consideration for research recognition, while careful verification of bibliographic records, authorship, contributions, and award requirements should guide decisions. [1][2][3]

References

  1. Gepreel, K. A., El-Horbaty, M., Aljohani, H. M., & Akbar, M. A. (2026). Dynamics of optical solitons of the pure cubic derivative NLSE with multiplicative white noise using analytical schemes. AIP Advances, 16(1), 015304.
    https://doi.org/10.1063/5.0310174
  2. Devnath, S., Gepreel, K. A., Aljohani, H. M., & Akbar, M. A. (2025). Exact soliton solutions and bifurcation analysis of the beta time fractional FitzHugh–Nagumo neuronal model in the beta derivative framework. AIP Advances, 15(10), 105019.
    https://doi.org/10.1063/5.0294408
  3. Alosaimi, M., Al-Malki, M. A. S., & Gepreel, K. A. (2025). Optical soliton solutions in optical metamaterials with full nonlinearity. Journal of Nonlinear Optical Physics & Materials, 34, 2450021.
    https://doi.org/10.1142/S0218863524500218

Mitsuru Endo | Computational Theory | Best Researcher Award

Prof. Dr. Mitsuru Endo | Computational Theory | Best Researcher Award

Professor Emeritus| Tokyo Institute of Technology | Japan

Mitsuru Endo has made distinguished contributions to applied mechanics and vibration engineering, focusing on the dynamic behavior of continua and structures and the development of advanced noise and vibration control systems. His work bridges theoretical mechanics and practical applications in acoustic control, offering innovative solutions for vibration reduction in engineering systems. Endo has pioneered the extension of Southwell-Dunkerley methods for synthesizing frequencies, contributing to a deeper understanding of vibrational modes in complex systems. His research on flexural vibrations of rotating rings and deformation theories for beams, plates, and cylindrical shells has advanced modeling precision in mechanical structures. By introducing alternative formulations for Timoshenko beam and Mindlin plate models, Endo improved computational accuracy in vibration analysis. His innovative “one-half order shear deformation theory” redefined how transverse shear deformation is represented in structural mechanics, influencing global research on elasticity and composite structures. Endo’s extensive publications in leading journals such as the Journal of Sound and Vibration and the International Journal of Mechanical Sciences have established a strong foundation for future explorations in vibration modeling, acoustic optimization, and structural mechanics. His studies integrate both analytical and experimental perspectives, driving advancements in passive and active noise control technologies essential to aerospace, automotive, and civil engineering applications. The recognition of his work through multiple prestigious awards underscores his impact in mechanical sciences and engineering research, with 440 citations, 64 documents, and an h-index of 8.

Profiles: Scopus | ORCID
Featured Publication

Endo, M. (2013). Study on direct sound reduction structure for reducing noise generated by vibrating solids. Journal of Sound and Vibration, 332, 2643–2658. 5 citations

Endo, M. (2015). Study on an alternative deformation concept for the Timoshenko beam and Mindlin plate models. International Journal of Engineering Science, 87, 32–56. 34 citations

Endo, M. (2016). An alternative first-order shear deformation concept and its application to beam, plate and cylindrical shell models. Composite Structures, 146, 50–61. 17 citations

Endo, M. (n.d.). Study on the characteristics of noise reduction effects of a sound reduction structure. Conference Paper. 1 citation

Arif Basgumus | Mobile Computing | Best Researcher Award

Dr. Arif Basgumus | Mobile Computing | Best Researcher Award

Associate Professor | Bursa Uludag University | Turkey

Dr. Arif Basgumus is a distinguished Associate Professor at Bursa Uludag University, whose research profoundly advances wireless communication, signal processing, and next-generation network systems. His extensive contributions encompass cognitive radio networks, non-orthogonal multiple access (NOMA), reconfigurable intelligent surfaces (RIS), cooperative communications, integrated sensing and communication (ISAC), and physical layer security. Dr. Arif Basgumus has developed robust models for interference alignment, hybrid RF/VLC systems, and UAV-assisted network architectures, contributing significantly to 5G and 6G technology evolution. His studies integrate theoretical modeling with artificial intelligence applications, enhancing the efficiency and reliability of communication frameworks. Actively collaborating with industrial partners such as ASELSAN, HAVELSAN, and TUSAŞ, he bridges academic innovation with practical defense and aerospace applications. His authorship spans influential journals including IEEE Access, IET Communications, and Digital Signal Processing, reflecting a consistent research impact in signal optimization, deep learning-aided communications, and security enhancement in RIS-assisted systems. He has guided numerous graduate theses, emphasizing interdisciplinary approaches across electrical, electronics, and computer engineering. His projects funded by TUBITAK and other research councils explore UAV communication, smart vehicle systems, and optical sensor networks, fostering sustainable and intelligent connectivity. Dr. Arif Basgumus has also co-authored several books and chapters on communication systems, cognitive networks, and artificial intelligence in engineering. His long-standing involvement in international collaborations and IEEE activities highlights a leadership role in shaping the technological foundations of future communication infrastructures, with 256 citations, 48 documents, and an h-index of 10 (View h-index).

Featured Publication

Alakoca, H., Namdar, M., Aldirmaz-Colak, S., Basaran, M., & Basgumus, A. (2022). Metasurface manipulation attacks: Potential security threats of RIS-aided 6G communications. IEEE Communications Magazine, 61(1), 24–30. Citations: 43

Bayhan, E., Ozkan, Z., Namdar, M., & Basgumus, A. (2021). Deep learning-based object detection and recognition of unmanned aerial vehicles. In Proceedings of the 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications. Citations: 41

Ozkan, Z., Bayhan, E., Namdar, M., & Basgumus, A. (2021). Object detection and recognition of unmanned aerial vehicles using Raspberry Pi platform. In Proceedings of the 5th International Symposium on Multidisciplinary Studies and Innovative Technologies. Citations: 34

Altuncu, A., & Basgumus, A. (2005). Gain enhancement in L-band loop EDFA through C-band signal injection. IEEE Photonics Technology Letters, 17(7), 1402–1404. Citations: 27

Basgumus, A., Durak, F. E., Altuncu, A., & Yilmaz, G. (2015). A universal and stable all-fiber refractive index sensor system. IEEE Photonics Technology Letters, 28(2), 171–174. Citations: 26

Umakoglu, I., Namdar, M., Basgumus, A., Kara, F., Kaya, H., & Yanikomeroglu, H. (2021). BER performance comparison of AF and DF assisted relay selection schemes in cooperative NOMA systems. In Proceedings of the 2021 IEEE International Black Sea Conference on Communications and Networking. Citations: 22