Masumeh Damrudi | Mobile Computing | Innovative Research Award

Published on by Global CSE Awards

Innovative Research Award

Masumeh Damrudi
North Tehran Branch, Islamic Azad University, Iran

Masumeh Damrudi
Affiliation North Tehran Branch, Islamic Azad University
Country Iran
Scopus ID 35793779600
Documents 18
Citations 50
h-index 4
Subject Area Mobile Computing
ORCID 0000-0002-1811-1855
Event Global CSE Awards

Masumeh Damrudi is affiliated with the North Tehran Branch of Islamic Azad University, Iran. The supplied academic profile identifies Mobile Computing as the subject area and reports 18 documents, 50 citations, and an h-index of 4. The listed publications cover parallel cryptography, task allocation and quality-of-service enhancement in mobile crowdsensing, and metaheuristic techniques for mobile crowdsensing. These research topics provide context for evaluating the researcher’s scholarly work. The reported metrics and individual publication contributions should be considered alongside verified bibliographic records, originality, methodological quality, and documented research outcomes. [1][2][3]

Abstract

Masumeh Damrudi’s supplied academic profile identifies the North Tehran Branch of Islamic Azad University, Iran, and Mobile Computing as the subject area. The profile reports 18 documents, 50 citations, and an h-index of 4. The three listed publications address parallel cryptography, optimization-based task allocation and quality-of-service enhancement in mobile crowdsensing, and a survey of metaheuristic techniques for improving mobile crowdsensing services. Together, these topics provide a basis for examining computational optimization, mobile systems, and resource allocation. A complete evaluation of research contributions requires verification of publication authorship and the details available in the original records. [1][2][3]

Keywords

Mobile Computing; Mobile Crowdsensing; Parallel Cryptography; Tree Topology; Task Allocation; Quality of Service (QoS); Metaheuristic Optimization; Scopus; Research Impact.

Introduction

Mobile Computing encompasses technologies and computational methods that support data processing, communication, and service delivery through mobile devices and distributed systems. Research in this area often addresses efficient resource allocation, service quality, optimization, and the performance of mobile applications. The publications listed in Masumeh Damrudi’s supplied profile span parallel cryptography and mobile crowdsensing, connecting computational techniques with security-related processing and mobile service optimization. The reported academic indicators offer a snapshot of scholarly activity and should be interpreted alongside verified publications and their specific contributions. [1][2][3]

Research Profile

The supplied profile identifies Mobile Computing as Masumeh Damrudi’s subject area and lists publications related to parallel cryptography and mobile crowdsensing. Parallel cryptography investigates ways to distribute cryptographic computations across multiple processing units or computational structures. Mobile crowdsensing uses mobile devices and their sensors to collect information, often requiring efficient task allocation, participant coordination, and quality-of-service management. Optimization techniques can help address these challenges by balancing system performance, resource use, and service requirements. The extent to which these topics represent the researcher’s individual specialization should be confirmed through the linked publication records. [1][2][3]

Research Contributions

The three supplied references represent different computational research themes. The work on tree-topology-based parallel cryptography addresses the organization of cryptographic computation in a parallel structure. The ADOPT study concerns an aquila-differential optimization approach for task allocation and quality-of-service enhancement in mobile crowdsensing. The survey on metaheuristic techniques reviews optimization-oriented approaches to improving quality of service in mobile crowdsensing environments. These topics are relevant to computational efficiency, optimization, and mobile service performance. Specific methods, experimental results, and individual contributions should be assessed using the original publications rather than inferred from their titles alone. [1][2][3]

Publications

The supplied references include three research works. The first, An Optimization of Tree Topology Based Parallel Cryptography, concerns optimization in parallel cryptographic computation. The second, ADOPT—the aquila-differential optimizer for efficient task allocation and QoS enhancement in mobile crowdsensing, addresses optimization for task allocation and quality-of-service requirements. The third, Quality of Service Enhancement in Mobile Crowdsensing Through Metaheuristic Techniques: A Survey, examines metaheuristic approaches to improving mobile crowdsensing services. The original publisher records should be consulted to confirm full bibliographic details, publication dates, author lists, and the researcher’s contribution to each work. [1][2][3]

Research Impact

The supplied profile reports 18 documents, 50 citations, and an h-index of 4. These bibliometric indicators provide a quantitative snapshot of the researcher’s reported scholarly activity. Citation counts can reflect the visibility and use of published work, while the h-index combines publication output and citation frequency into a single measure. Neither metric independently establishes originality, quality, or practical impact. A balanced assessment should also consider methodological rigor, the significance of research findings, collaboration, reproducibility, and documented applications. Bibliometric values may change as indexing databases are updated. [1][2][3]

Award Suitability

The Innovative Research Award provides an opportunity to recognize research contributions in relevant scientific and technological fields. Masumeh Damrudi’s supplied profile identifies Mobile Computing as the subject area and reports 18 documents, 50 citations, and an h-index of 4. The listed publications address parallel cryptography, optimization-based task allocation, and quality-of-service enhancement in mobile crowdsensing. These subjects offer potential areas for evaluating computational and optimization research. A fair award assessment should examine verified authorship, originality, methodological soundness, publication quality, research outcomes, and the significance of the candidate’s documented contributions. The available profile information alone should not be treated as confirmation of award selection or eligibility. [1][2][3]

Conclusion

Masumeh Damrudi’s supplied academic profile identifies the North Tehran Branch of Islamic Azad University, Iran, and Mobile Computing as the subject area. The reported metrics are 18 documents, 50 citations, and an h-index of 4. The three listed references concern tree-topology-based parallel cryptography, optimization for task allocation and quality of service in mobile crowdsensing, and a survey of metaheuristic techniques for mobile crowdsensing. These topics provide a foundation for reviewing the researcher’s scholarly record. Verification of the original publications and documented individual contributions is essential to a comprehensive evaluation of research impact and suitability for an Innovative Research Award. [1][2][3]

References

  1. An Optimization of Tree Topology Based Parallel Cryptography.
    https://onlinelibrary.wiley.com/doi/full/10.1155/2012/871091
  2. ADOPT—the aquila-differential optimizer for efficient task allocation and QoS enhancement in mobile crowdsensing.
    https://link.springer.com/article/10.1007/s10586-025-05413-x
  3. Quality of Service Enhancement in Mobile Crowdsensing Through Metaheuristic Techniques: A Survey.
    https://onlinelibrary.wiley.com/doi/10.1002/cpe.70168

 

Mitsuru Endo | Computational Theory | Best Researcher Award

Published on by Global CSE Awards

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

Published on by Global CSE Awards

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).

Profiles:  Google Scholar | Scopus | ORCID
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