Rahul Charles C M | Engineering | Best Researcher Award

Best Researcher Award

Rahul Charles C M
College of Engineering Muttathara, India

Rahul Charles C M
Affiliation College of Engineering Muttathara
Country India
Google Scholar Profile rpc75fsAAAAJ
Documents 3
Citations 32
h-index 2
Subject Area Engineering
Event International Academic Excellence Awards

Rahul Charles C M is an engineering researcher affiliated with the College of Engineering Muttathara, India. The supplied academic record identifies three publications, 32 citations and an h-index of 2. His documented research includes work on doubly fed induction generators, field-oriented control and battery energy storage in wind-energy systems. These publications place his research within the broader engineering fields of renewable-energy conversion, electrical-machine control and energy-storage integration. [1]

Abstract

This academic recognition profile summarizes the supplied research record of Rahul Charles C M. His publication activity focuses on renewable-energy systems involving doubly fed induction generators, field-oriented control and battery energy storage. The available scholarly record indicates an engineering research trajectory concerned with improving the control and operational integration of wind-energy conversion systems. [2]

Keywords

Renewable energy; wind energy; doubly fed induction generator; field-oriented control; battery energy storage; electrical engineering; energy conversion.

Introduction

Wind-energy systems require coordinated control of electrical machines, converters and storage technologies to maintain reliable operation under variable generation conditions. Research into doubly fed induction generators and associated control strategies addresses these engineering challenges and forms the principal theme of the publications supplied for this profile. [1]

Research Profile

The supplied bibliometric information records three documents, 32 citations and an h-index of 2. These indicators provide a quantitative description of scholarly visibility but should be interpreted in relation to career stage, publication chronology, authorship, field-specific citation patterns and the completeness of the underlying indexing record. [2]

Research Contributions

  • Investigation of field-oriented control for doubly fed induction generator-based wind-energy systems incorporating battery energy storage. [1]
  • Study of field-oriented control of doubly fed induction generators in wind-power applications. [2]
  • Contribution to engineering research concerning renewable-energy conversion, generator control and storage-assisted wind-energy operation.

Publications

Field oriented control of DFIG based wind energy system using battery energy storage system was published in Procedia Technology, volume 24, pages 1203–1210, in 2016, and is listed with 24 citations in the supplied Google Scholar record. [1] Field oriented control of Doubly Fed Induction Generator in wind power system appeared in the 2015 IEEE International Conference on Computational Intelligence and Computing Research and is listed with eight citations. [2]

Research Impact

The supplied record reports 32 citations across three documents, with the 2016 wind-energy publication accounting for a substantial portion of the listed citations. The work addresses technically relevant challenges in renewable-energy generation and electrical-machine control, while the incorporation of battery storage connects generator control with broader energy-management considerations. [1]

Award Suitability

Based on the information supplied, Rahul Charles C M has a focused engineering publication record with identifiable contributions to wind-energy systems and generator-control technologies. The reported citation activity provides an additional indicator of scholarly use. Eligibility and final selection for the International Academic Excellence Awards should, however, be determined using the award’s official criteria and independently verified academic records.

Conclusion

The available record presents Rahul Charles C M as an engineering researcher whose documented work concerns doubly fed induction generators, field-oriented control and battery-supported wind-energy systems. His publications and reported citation record provide a measurable basis for academic recognition within renewable-energy and electrical-engineering research. [1] [2]

References

  1. Charles, C. M. R., Vinod, V., & Jacob, A. (2016). Field oriented control of DFIG based wind energy system using battery energy storage system. Procedia Technology, 24, 1203–1210.
    Google Scholar record
  2. Charles, C. M. R., Vinod, V., & Jacob, A. (2015). Field oriented control of Doubly Fed Induction Generator in wind power system. 2015 IEEE International Conference on Computational Intelligence and Computing Research.
    Google Scholar record
  3. Google Scholar. (n.d.). Rahul Charles C M publication profile. Google Scholar.
    https://scholar.google.com/citations?hl=en&user=rpc75fsAAAAJ&view_op=list_works&sortby=title
  4. IEEE. (2015). 2015 IEEE International Conference on Computational Intelligence and Computing Research. Conference publication record.
    Publication record
  5. Procedia Technology. (2016). Field oriented control of DFIG based wind energy system using battery energy storage system. Volume 24, pages 1203–1210.
    Publication record
  6. International Academic Excellence Awards. (n.d.). Official award website.
    https://academicexcellenceawards.com/

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Anyin, Peter Betianabeshe, Ph.D., is a transportation engineer and researcher specializing in traffic planning, simulation, and quantitative modeling of complex mobility systems. His academic and professional work is centered on developing data-driven and system-oriented approaches to improve traffic operations, urban mobility, and infrastructure planning, particularly in rapidly growing metropolitan regions. He is currently engaged in advanced research at Technische Universität Braunschweig, Germany, where his doctoral studies focus on transportation planning and traffic simulation, with a strong emphasis on designing quantitative metrics for evaluating microscopic traffic simulators and systemic planning frameworks. His Ph.D. research addresses the systemic planning of traffic in Lagos, Nigeria, integrating simulation-based methodologies with real-world mobility challenges. Dr. Anyin’s research expertise spans microscopic traffic simulation, queueing theory, statistical traffic data analysis, and computational modeling. He has extensive experience working with industry-standard simulation tools such as VISSIM, SUMO, Aimsun, and MATSim, alongside programming and analytical platforms including Python, MATLAB, Simulink, and SQL. His interdisciplinary research also extends into machine learning applications, such as generative adversarial networks and physics-informed neural networks, applied to traffic systems and pavement modeling. He has authored multiple peer-reviewed journal articles and conference papers on traffic simulation comparison, queueing models, sustainable transportation systems, and computational methodologies. His work has been published in reputable international journals and presented at global conferences. In addition to research, he actively supervises graduate students, contributes to collaborative urban planning projects, and engages with stakeholders to translate simulation research into practical transportation solutions.

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