Mitsuru Endo | Computational Theory | Best Researcher Award

Published on by Computer Science Engineering

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

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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

Surender Singh | Internet of Things | Best Researcher Award

Published on by Computer Science Engineering

Mr. Surender Singh | Internet of Things | Best Researcher Award

Assistant Professor at Bhai Gurdas Institute of Engineering and Technology | India

Dr. Surender Singh is a highly dedicated and passionate researcher whose scholarly contributions in the domains of wireless sensor networks, wireless body area networks, and intelligent routing algorithms demonstrate both technical depth and practical societal relevance. His extensive academic journey has been supported by his role as an Assistant Professor, where he combines classroom teaching with impactful research. His patents on energy-efficient routing protocols and wireless charging stations highlight his capacity to translate innovative ideas into practical solutions with real-world application potential. Alongside his patents, his book chapters, IEEE-indexed review papers, and SCIE-indexed journal articles further strengthen his academic credibility, reflecting a growing recognition in reputed publication platforms. Beyond publications, Dr. Singh’s long-term teaching career, leadership positions as Dean and HOD, and award recognition for teaching excellence reveal him as both an academic leader and innovator. The upward trajectory of his recent research productivity suggests a growing international influence and sets the foundation for even greater impact in future years.

Professional Profiles

Scopus | ORCID

Education

Dr. Surender Singh has built a strong academic foundation in the field of Computer Science and Engineering. He completed his Bachelor of Technology (B.Tech.) and Master of Technology (M.Tech.) in Computer Science & Engineering, which allowed him to develop a deep understanding of core computational concepts, programming, and system design. To further strengthen his academic credentials, he pursued a Doctor of Philosophy (Ph.D.) in Computer Science & Engineering, with his thesis successfully submitted. His doctoral research focuses on advanced methods of energy-efficient communication and optimization in wireless body area networks, highlighting his strong research orientation and commitment to advancing knowledge. This blend of undergraduate, postgraduate, and doctoral qualifications not only demonstrates his academic growth but also reflects his dedication to lifelong learning and contribution to the ever-evolving discipline of computing. His academic journey serves as a firm foundation for his teaching, research, and leadership roles in higher education.

Experience

Dr. Surender Singh has accumulated extensive experience in academia and industry, bringing a well-rounded perspective to his teaching and research. He has served as an Assistant Professor in the Department of Computer Science & Engineering at a reputed engineering institute, where he has been engaged in teaching core and advanced subjects. His responsibilities have extended beyond the classroom, where he has worked as Dean (Academics), Dean (Admissions), and Head of Department, leading initiatives in accreditation, quality assurance, and curriculum development. Before his teaching career, he also worked in the industry as a Sales and Service Engineer, gaining practical knowledge of computing hardware and systems. His long-standing association with academia has enabled him to mentor students, coordinate accreditation processes, and manage academic operations with efficiency. This blend of teaching, leadership, and technical expertise underlines his ability to bridge the gap between theoretical knowledge and its practical application.

Skills

Dr. Singh possesses a versatile set of technical and professional skills that make him a competent educator and researcher in the field of computer science. He is proficient in programming languages such as C, C++, and Java, with a strong command of data structures, algorithms, and object-oriented programming principles. His knowledge extends to operating systems and computer graphics, which he teaches with clarity and practical application. Beyond software expertise, he also has hands-on experience with system hardware and testing tools, including exposure to machine learning and predictive analysis using Python. His ability to apply computational methods to real-world problems is a defining feature of his skill set. Equally important are his organizational and interpersonal abilities, demonstrated through his roles as coordinator of accreditation activities and leader in academic administration. His capability to work in teams, adapt to diverse environments, and manage projects enhances his overall effectiveness as a professional.

Research Focus

Dr. Singh’s primary research focus lies in the domain of Wireless Sensor Networks and Wireless Body Area Networks (WBANs), with an emphasis on developing energy-efficient routing protocols. His research explores optimization methods, adaptive relay selection, multi-criteria decision-making, and data compression techniques aimed at improving quality of service and energy efficiency in WBAN applications. He has published extensively in reputed journals and international conferences, contributing book chapters with globally recognized publishers such as Springer and CRC Press. His recent works include routing protocols inspired by metaheuristic approaches, hybrid models incorporating compression techniques, and adaptive relay-assisted frameworks. Alongside network design, he has also contributed to areas of digital image processing, computer graphics, and predictive analytics, showcasing interdisciplinary engagement. His ability to combine theoretical frameworks with practical application ensures his research addresses both academic and industrial challenges, advancing the future of intelligent communication networks and healthcare monitoring systems.

Awards 

Dr. Singh has been recognized for his dedication to teaching and academic excellence with the ISTE Section Best Teacher Award, a prestigious honor that highlights his impact as an educator. This award reflects his strong student mentorship, innovative teaching practices, and contributions to academic growth at his institution. Beyond awards, his professional recognition extends through life membership in ISTE, where he actively contributes to knowledge sharing and technical education initiatives. His involvement in workshops on machine learning, patent awareness, and generic skills development further demonstrates his commitment to continuous professional improvement. He has also secured patents related to energy-efficient routing protocols and wireless charging stations, underscoring his capacity for innovation and applied research. His publication record across reputed journals and conferences further cements his position as a recognized scholar in computer science. These honors and achievements collectively demonstrate his dedication to advancing education, research, and professional practice.

Publication Top Notes

Title: Invariant Feature-Based Dynamic Scene Classification Using the Optimized Convolution Neural Network
Year: 2022

Title: A Moth-Flame Inspired Routing Protocol for Selection of Relay Node in Wireless Body Area Network
Year: 2023

Title: Energy Efficient Routing Methods in Wireless Body Area Networks: A Brief Study
Year: 2023

Title: Selection of Relay Node using Multi-Criteria Decision Making in Wireless Body Area Network
Year: 2024

Title: Adaptive Relay-Assisted WBAN Protocol: Enhancing Energy Efficiency and QoS through Advanced Multi-Criteria Decision-Making
Year: 2025

Title: A Hybrid-EPC Routing Protocol incorporating Delta Data Compression to Improve Energy Efficiency in Wireless Body Area Network
Year: 2025

Conclusion

In conclusion, Dr. Surender Singh demonstrates a strong combination of academic achievements, innovative research, patents, and professional leadership, making him highly suitable for the Best Researcher Award. His work reflects a perfect blend of theory and application, especially in advancing energy-efficient routing protocols for wireless body area networks, AI-integrated communication systems, and healthcare-related computational solutions. While there remains scope for enhancing international collaborations, citation impact, and interdisciplinary engagement, his scholarly journey is clearly moving toward broader global recognition. His patents and SCIE-indexed publications prove his commitment to contributing novel solutions that address real-world technological and biomedical challenges. Additionally, his leadership roles in academia, including contributions as Dean, HOD, and coordinator, underscore his ability to influence both research and institutional growth. By merging innovation with practical impact, Dr. Singh’s work enriches the academic community and creates direct societal benefits, particularly in health-focused and technology-driven applications, establishing him as a forward-looking researcher with substantial future potential.