Maniraj S P | Computer Vision | Best Researcher Award

Published on by AI Data Scientist

Best Researcher Award

Maniraj S P
SRM Institute of Science and Technology Kattankulathur Campus
Maniraj S P
Affiliation SRM Institute of Science and Technology
Country India
Scopus ID 57204028554
Documents 67
Citations 485
h-index 9
Subject Area Computer Vision
Event International AI Data Scientists Award
ORCID 0000-0002-0505-4177

Maniraj S P, a researcher affiliated with SRM Institute of Science and Technology, India. His scholarly work primarily focuses on Computer Vision, artificial intelligence, and data-driven technologies that contribute to contemporary research developments. His publication record, citation performance, and academic engagement demonstrate sustained participation in research activities within his field.[1]

Abstract

This article summarizes the academic profile of Maniraj S P and evaluates his suitability for the Best Researcher Award. His research portfolio includes publications indexed in major academic databases and contributions to Computer Vision research. Citation metrics indicate scholarly visibility and engagement within the scientific community.[1]

Keywords

Computer Vision, Artificial Intelligence, Machine Learning, Image Analysis, Research Excellence.

Introduction

Computer Vision has become an important discipline within artificial intelligence, enabling automated interpretation of visual information. Researchers working in this domain contribute to technological innovation across healthcare, manufacturing, security, and intelligent systems. Maniraj S P has participated in these developments through scholarly publications and research activities.[2]

Research Profile

Maniraj S P is associated with SRM Institute of Science and Technology, Kattankulathur Campus, India. According to publicly available academic records, the researcher has authored 67 indexed documents and accumulated 485 citations with an h-index of 9. These indicators reflect continuous scholarly productivity and research dissemination.[1]

Research Contributions

The research contributions of Maniraj S P include studies related to image processing, machine learning applications, visual analytics, and intelligent computational systems. Such work supports ongoing advancements in automated decision-making and pattern recognition technologies.[3]

Publications

  • Research articles in Computer Vision and AI-related journals.
  • Conference publications addressing image analysis and machine learning.
  • Collaborative studies contributing to interdisciplinary research.

Research Impact

Citation metrics and publication output provide evidence of academic influence. With 485 citations and an established publication portfolio, the researcher demonstrates measurable research visibility and contribution to scientific literature.[1]

Award Suitability

The Best Researcher Award recognizes sustained scholarly achievement, publication quality, and measurable academic impact. Based on available research indicators, publication productivity, and contributions to Computer Vision research, Maniraj S P aligns with the general criteria associated with academic excellence and professional research recognition.[1]

Conclusion

Maniraj S P has established a research profile characterized by consistent publication activity, scholarly citations, and contributions within Computer Vision. These achievements support consideration for recognition through the International AI Data Scientists Award and related academic honors.

References

  1. Elsevier. (n.d.). Scopus author details: Maniraj S P, Author ID 57204028554. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57204028554
  2. ORCID. (n.d.). ORCID profile of Maniraj S P.
    https://orcid.org/0000-0002-0505-4177
  3. Pattern Recognition Journal. DOI Reference.
    https://doi.org/10.1016/j.patcog.2021.108252

Mr. Sonjoy Ranjon Das | Computer Vision | AI & Machine Learning Award

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Mr. Sonjoy Ranjon Das | Computer Vision | AI & Machine Learning Award

Lecturer,  Global Banking School, United Kingdom

Mr. Sonjoy Ranjon Das (FHEA, MIEEE, MBCS) is a Lecturer in Computing at the Global Banking School, UK, PhD Candidate in Computer Science at London Metropolitan University, and an affiliated researcher with the AI & Data Science Research Group at London Metropolitan University. He is an emerging academic with expertise in artificial intelligence, soft biometrics, cybersecurity, and privacy-preserving surveillance frameworks aligned with ethical AI deployment and GDPR compliance. Mr. Sonjoy Ranjon Das earned his MSc in Cyber Security Technology with Distinction from Northumbria University, UK, following an MBA in Management Information Systems and a BSc (Hons) in Computer Science from Leading University, Bangladesh, which provided him with an integrated background in computing, management information systems, and advanced security practices. Professionally, he has served in diverse higher-education lecturing roles across the UK including Elizabeth School of London, New City College, Shipley College, and other institutions, as well as holding the position of Research Associate on the SoftMatrix and Surveillance (SMS) Project at Northumbria University, contributing to cross-disciplinary and international research. Mr. Sonjoy Ranjon Das’s research interests include privacy-preserving multimodal soft biometrics for identity verification, AI-driven covert surveillance, ethical and GDPR-compliant surveillance technologies, and the fusion of biometrics for crowd analytics in public safety and border security. His research skills encompass advanced machine learning and computer vision techniques, data analytics, Python and Java programming, cloud-IoT integration, and full-stack development, supported by proficiency in data visualization tools such as Power BI, Tableau, and MATLAB.

Profile :  GOOGLE SCHOLAR

Featured Publications

  • Das, S. R., Kruti, A., Devkota, R., & Sulaiman, R. B. (2023). Evaluation of machine learning models for credit card fraud detection: A comparative analysis of algorithmic performance and their efficacy. FMDB Transactions on Sustainable Technoprise Letters. 12 citations.

  • Thinesh, M. A., Varmann, S. S., Sharmila, S. L., & Das, S. R. (2023). Detection of credit card fraud using random forest classification model. FMDB Transactions on Sustainable Technologies Letters. 9 citations.

  • Pranav, R. P., Prawin, R. P., Subhashni, R., & Das, S. R. (2023). Enhancing remote sensing with advanced convolutional neural networks: A comprehensive study on advanced sensor design for image analysis and object detection. FMDB Transactions on Sustainable Computer Letters. 8 citations.

  • Das, S. R., Hassan, B., Patel, P., & Yasin, A. (2024). Global soft biometrics in surveillance: Benchmark analysis, open challenges, and recommendations. Multimedia Tools and Applications. 6 citations.