Manikandan M | Electrical and Electronics Engineering | Best Researcher Award

Best Researcher Award

Manikandan M — Presidency University, India

Manikandan M
Affiliation Presidency University
Country India
Scopus ID 57213545606
Documents 53
Citations 277
h-index 9
Subject Area Electrical and Electronics Engineering
Event Scientific World Research Awards
ORCID 0000-0001-8020-8984

Manikandan M is a researcher whose documented scholarly work includes cloud computing, data management, wireless networking and computational approaches to information systems. His researcher identifiers support the discovery and verification of his academic record across scholarly platforms. [1]

Abstract

This academic recognition profile presents Manikandan M’s research background, selected publications and bibliometric indicators. His ORCID record lists work involving cloud data management, resource allocation, wireless mesh networks and frequent-itemset mining. The profile provides an accessible overview of his documented scholarly contributions. [1]

Keywords

Electrical and Electronics Engineering; cloud computing; MapReduce; data deduplication; wireless mesh networks; resource allocation; cyber-physical systems; frequent-itemset mining; scholarly impact; research evaluation.

Introduction

Research in computing and engineering supports the development of efficient data-processing systems, communication networks and resource-management methods. Manikandan’s indexed publication record contains examples addressing these areas, providing a basis for examining his research interests through identifiable scholarly outputs.[3]

Research Profile

The bibliometric information reports 53 documents, 277 citations and an h-index of 9. These indicators describe different dimensions of publication output and citation activity. Their interpretation should account for database coverage, author attribution and the date on which the records were retrieved. [2]

Research Contributions

The ORCID record identifies work on cloud data privacy using MapReduce, resource allocation in cyber-physical systems, database deduplication, wireless mesh networks and utility frequent-itemset mining. These topics connect computing infrastructure with data processing and communication-system performance. [1]

Publications

Listed works include “Data de duplication using N0SQL Databases in Cloud” and conference papers concerning wireless mesh networks and frequent-itemset mining. Their recorded DOI identifiers provide persistent links for locating publication information and checking bibliographic details. [4]

Research Impact

Manikandan M’s research explores computational methods for handling complex datasets and strengthening data-driven systems. His published work examines approaches to cloud-based information management, network communication, and efficient computational resource utilization. These research areas offer a foundation for further development of scalable computing solutions and improved information-processing methodologies. [2]

Award Suitability

The Best Researcher Award profile recognises a documented record of scholarly activity in computing-related research. The publication and citation indicators may support preliminary consideration; final award decisions should follow the eligibility criteria, verification procedures and independent review process. [2]

Conclusion

Manikandan M’s indexed works demonstrate research engagement with data management, cloud computing and communication networks. His persistent researcher identifiers and publication DOIs provide useful pathways for reviewing his scholarly record and supporting a transparent academic recognition process. [1]

References

  1. ORCID. (n.d.). M Manikandan: ORCID record and works. ORCID.
    https://orcid.org/0000-0001-8020-8984
  2. Elsevier. (n.d.). Scopus author details: Manikandan M, Author ID 57213545606. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57213545606
  3. Backialakshmi, N., & Manikandan, M. (2015). Data de duplication using N0SQL Databases in Cloud. Proceedings of the IEEE International Conference on Soft-Computing and Network Security.
    https://doi.org/10.1109/ICSNS.2015.7292436
  4. Vigneshkanna, B., & Manikandan, M. (2015). On the concert of Predictable Broadcast Reckon (PBR) for wireless mesh networks used in VANETS. International Conference on Information Communication and Embedded Systems.
    https://doi.org/10.1109/ICICES.2014.7033767
  5. Scientific World Research Awards. (n.d.). Official award website and nomination information.
    https://scientificworld.net/

Yao GE | Electrical and Electronics Engineering | Young Scientist Award

Dr. Yao GE | Electrical and Electronics Engineering | Young Scientist Award

Research Fellow | Nanyang Technological University | Singapore

Dr. Yao Ge, a leading researcher at Nanyang Technological University, Singapore, has made significant contributions to advanced wireless communication systems, with research interests spanning secure precoding for ISAC systems, XL-RIS-aided near-field MIMO, OTFS-RSMA, and affine frequency division multiplexing in high-mobility and doubly-dispersive channels. His research skills include multiuser interference management, next-generation multiplexing techniques, and performance optimization of wireless networks. Dr. Ge’s work has earned him 743 citations across 57 documents, with an h-index of 14, highlighting his impactful contributions to the field. He has also been recognized for his innovative approaches in wireless communications through various awards and honors. Overall, his research advances both theoretical understanding and practical applications in secure, high-capacity, and efficient communication systems.

 

Citation Metrics (Scopus)

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Featured Publications


Receiver design for OTFS with a fractionally spaced sampling approach


– IEEE Transactions on Wireless Communications, 2021 (Citations: 129)


OTFS signaling for uplink NOMA of heterogeneous mobility users


– IEEE Transactions on Communications, 2021 (Citations: 93)


STAR-RIS aided integrated sensing and communication over high mobility scenarios


– IEEE Transactions on Communications, 2024 (Citations: 52)

 

MD Shouquat Hossain | Electrical and Electronics Engineering

Assoc. Prof. Dr. MD Shouquat Hossain | Electrical and Electronics Engineering

Associate Professor | International University of Business Agriculture and Technology | Bangladesh

Assoc. Prof. Dr. MD Shouquat Hossain is a recognized researcher in renewable energy engineering and sustainable energy systems, with a strong focus on applied solutions for energy efficiency and climate resilience. His research interests include solar photovoltaic and photovoltaic–thermal systems, hybrid renewable energy systems, energy modeling and optimization, low-cost energy monitoring technologies, phase change materials, and water–energy–carbon nexus analysis in energy-stressed regions. He possesses advanced research skills in system design, experimental performance evaluation, techno-economic and environmental analysis, energy data acquisition, and sustainability assessment for real-world applications. His work contributes to improving renewable energy deployment, affordability, and operational reliability, particularly in developing and resource-constrained contexts. Dr. Hossain has received professional recognition through high-impact publications, open-access research dissemination, and consistent citation performance, reflecting his influence in energy and sustainability research. According to Scopus, he has published 53 documents, received 6,023 citations, and achieved an h-index of 26, underscoring his sustained academic impact, leadership, and commitment to advancing clean energy technologies and sustainable development.

 

Citation Metrics (Scopus)

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Featured Publications

Celestine Obi | Electrical and Electronics Engineering | Rising Star in Research Award

Mr. Celestine Obi | Electrical and Electronics Engineering | Rising Star in Research Award

Research Assitant | Chonnam National University | South Korea

Mr. Celestine Obi is a dynamic researcher whose work advances renewable energy systems, smart grids, AI-driven optimization, and digital twin technologies, with strong interests in voltage stability, energy trading, and multi-objective optimization. His research skills include neural network modeling, predictive control, particle swarm optimization, hybrid algorithms, and intelligent energy management. He has contributed multiple impactful studies and received recognition through growing citations and scholarly influence. According to Scopus/Google Scholar data, he has 9 citations and an h-index of 2. His awards and honors reflect his commitment to innovative energy solutions, and his work continues to strengthen the future of smart, sustainable power systems.

Citation Metrics (Google Scholar)

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