Sanjai Arul  | Advanced Algorithms | Innovative Research Award

Published on by Computer Scientists Awards

Innovative Research Award

Sanjai Arul
PhD Researcher, Department of Communication, Yuan Ze University, Taoyuan District, Taiwan

Sanjai Arul
Affiliation Yuan Ze University
Country Taiwan
Scopus ID 60054483100
Documents 1
Subject Area Advanced Algorithms
Event Computer Scientists Awards
ORCID 0009-0007-8427-1180

Sanjai Arul is a PhD Researcher in the Department of Communication at Yuan Ze University, Taiwan, whose documented research work includes advanced algorithmic methods for wireless communication and integrated sensing. His current publication record includes a 2026 journal article addressing convex optimization and interference cancellation in OFDM integrated sensing and communication systems.[1]

Abstract

This article presents the academic profile of Sanjai Arul in relation to the Innovative Research Award. His documented research focuses on advanced algorithms and communication systems, with particular relevance to OFDM integrated sensing and communication. His 2026 publication proposes a convex optimization-based three-slot framework incorporating interference cancellation, demonstrating research engagement with contemporary wireless-system design.[1]

Keywords

Advanced Algorithms; Convex Optimization; OFDM; Integrated Sensing and Communication; Interference Cancellation; Wireless Communications.

Introduction

Integrated sensing and communication combines sensing and wireless communication functions within shared system architectures. Algorithmic optimization is important in such systems because transmission, sensing, interference, and resource-allocation requirements must be considered jointly. Arul’s documented 2026 work addresses this problem through a structured optimization framework.[1]

Research Profile

Arul is affiliated with Yuan Ze University in Taiwan as a PhD Researcher in the Department of Communication. The supplied Scopus record identifies one document, zero citations, and an h-index of zero. These bibliometric values describe the available indexed record and should be interpreted in the context of an emerging research profile.

Research Contributions

  • Application of convex optimization to integrated sensing and communication.
  • Development of a three-slot OFDM framework with interference cancellation.
  • Research connecting algorithmic optimization with next-generation wireless communication systems.[1]

Publications

  1. Sanjai Arul. A Convex Optimization-Based Three-Slot Framework for OFDM Integrated Sensing and Communication with Interference Cancellation. Electronics, 2026.

Research Impact

The available bibliometric record currently reports no citations. Consequently, citation-based impact remains limited to date. The subject and methodological focus of the publication nevertheless place the research within an active area involving wireless communication, sensing, optimization, and interference management.[1]

Award Suitability

For the Innovative Research Award, the documented work provides a relevant basis for consideration because it applies an optimization-oriented approach to a contemporary communication-system problem. Award assessment should consider the originality, methodological rigor, technical significance, and broader contribution of the submitted research alongside independently verified academic records.

Conclusion

Sanjai Arul’s research profile reflects early-stage scholarly activity in advanced algorithms and communication engineering. His 2026 publication provides a specific contribution involving convex optimization, OFDM, integrated sensing and communication, and interference cancellation, establishing a documented foundation for recognition under an innovation-focused award category.[1]

References

  1. Arul, Sanjai. (2026). A Convex Optimization-Based Three-Slot Framework for OFDM Integrated Sensing and Communication with Interference Cancellation. Electronics, 15(16), 3610. DOI: 10.3390/electronics15163610.
    https://doi.org/10.3390/electronics15163610
  2. Elsevier. (n.d.). Scopus author details: Sanjai Arul, Author ID 60054483100. Scopus.
    https://www.scopus.com/pages/authors/60054483100
  3. ORCID. (n.d.). ORCID record: Sanjai Arul.
    https://orcid.org/0009-0007-8427-1180
  4. MDPI. (2026). Electronics, Volume 15, Issue 16. MDPI.
    https://doi.org/10.3390/electronics15163610
  5. Yuan Ze University. (n.d.). Academic and research information.

Mr. John de Britto Chinnappan | Computer Science | Editorial Board Member

Published on by Computer Scientists Awards

Mr. John de Britto Chinnappan | Computer Science | Editorial Board Member

Saveetha Engineering College| India

Dr. C. John De Britto is a dedicated researcher in Electrical and Electronics Engineering with a strong focus on power electronics, renewable energy systems, electric drives, optimization algorithms, and intelligent control strategies. His research work explores innovative solutions for improving power quality, enhancing the efficiency of renewable energy integration, and advancing smart energy systems. With contributions spanning image enhancement techniques, hybrid renewable systems, DC–DC converter architectures, electric vehicle impact mitigation, and intelligent control for photovoltaic systems, he brings a multidisciplinary approach bridging conventional power engineering with modern computational intelligence. His scholarly output includes 14 Scopus-indexed documents that have collectively received 40 citations with an h-index of 4 on Scopus. Additionally, his Google Scholar profile reflects 50 citations, an h-index of 4, and an i10-index of 1, highlighting the growing influence and visibility of his work. His publications demonstrate a strong commitment to developing sustainable engineering solutions, especially in areas such as quasi Z-source converters, hybrid renewable energy design, embedded platforms, fault recognition in industrial motors, and bio-inspired optimization for control systems. Dr. De Britto’s research impact is evident across peer-reviewed journals, international conferences, and interdisciplinary collaborations, with several studies addressing modern challenges such as electric vehicle charging impacts, microgrid performance, and automation for safety-critical applications. His continuous contributions to energy systems, computational approaches, and power conversion technologies position him as an emerging academic voice in renewable and intelligent power engineering research.

Profile

Scopus | ORCID | Google Scholar

Featured Publications

Venkatesh, S., De Britto, C. J., Subhashini, P., & Somasundaram, K. (2022). Image enhancement and implementation of CLAHE algorithm and bilinear interpolation. Cybernetics and Systems, 1–13.

Pradeep, M., Sathishkumar, S., & Subramanian, A. T. S. (2019). Recognition of fault and security of three phase induction motor by means of programmable logic controller. IOP Conference Series: Materials Science and Engineering, 623, 012017.

Yuvaraj, T., Prabaharan, N., De Britto, C. J., Thirumalai, M., Salem, M., & others. (2024). Dynamic optimization and placement of renewable generators and compensators to mitigate electric vehicle charging station impacts using the spotted hyena optimization algorithm. Sustainability, 16(19), 8458.

De Britto, C. J., Nagarajan, S., & Kumar, R. S. (2023). Effective design and implementation of hybrid renewable system using convex programming. International Journal of Green Energy, 20(13), 1473–1487.

De Britto, C. J., & Nagarajan, S. (2018). High performance quasi Z-source resonant converter with hybrid energy resources for rural electrification. International Journal of Engineering and Advanced Technology, 8(2C2), 132–135.