Md Aktar Hossain | Electrical engineering | Research Excellence Award

Research Excellence Award

Md Aktar Hossain – Lamar University

Md Aktar Hossain
Affiliation Lamar University
Country United States
Scopus ID 60538929600
Documents 4
Citations 1
h-index 1
Subject Area Electrical Engineering
Event International Research Data Analysis Excellence & Awards
ORCID 0009-0005-5806-5995

Md Aktar Hossain is identified as a researcher affiliated with Lamar University, United States, with electrical engineering listed as his subject area. His supplied Scopus profile reports four documents, one citation, and an h-index of one. This article summarizes the available profile information and discusses research contributions, publications, impact, and academic recognition. [1]

Abstract

This article presents an academic profile of Md Aktar Hossain, whose supplied researcher information identifies an affiliation with Lamar University and a research area in electrical engineering. The provided Scopus indicators list four documents, one citation, and an h-index of one. These metrics summarize indexed research activity but do not independently establish research quality or award outcomes. [2]

Keywords

Md Aktar Hossain; Electrical Engineering; Research Excellence Award; Scholarly Publications; Citation Analysis; Scopus Author Profile; Research Evaluation; Lamar University; Academic Recognition; Research Impact.

Introduction

Research excellence involves originality, methodological rigor, relevance, and contributions to knowledge. Bibliometric indicators help describe publication and citation activity, but they should be considered alongside the content and context of scholarly work. This article introduces Md Aktar Hossain’s supplied academic profile and research area while distinguishing available bibliographic information from independently verified achievements.[3]

Research Profile

Md Aktar Hossain is identified in the supplied information as a researcher affiliated with Lamar University in the United States. Electrical engineering is listed as his subject area. His Scopus author identifier is 60538929600, and his ORCID provides a persistent researcher identifier. These records can help readers locate relevant publications and review available scholarly information. [3]

Research Contributions

Research contributions can be evaluated through the problems addressed, methods applied, findings reported, and relevance to electrical engineering. The available profile details do not identify individual projects or establish specific technical discoveries. A balanced assessment requires reviewing the researcher’s publications, research questions, supporting evidence, and potential value to future investigations or practical applications. [2]

Publications

The supplied Scopus information lists four documents associated with the researcher. Individual publication titles, journal names, publication dates, and DOI identifiers have not been provided for this article. These details should be checked against the author’s indexed record before publication. Accurate bibliographic reporting requires confirming authorship, publication metadata, and persistent identifiers for each cited work. [1]

Research Impact

The supplied bibliometric information records one citation and an h-index of one. These indicators describe indexed citation activity and may change as publications receive further citations. A comprehensive evaluation should also consider practical relevance, methodological quality, reproducibility, collaboration, and contributions that citation counts alone cannot adequately measure. Bibliometric indicators are most informative when interpreted within their disciplinary context.[3]

Award Suitability

The Research Excellence Award associated with the International Research Data Analysis Excellence & Awards provides a context for presenting scholarly work for consideration. Suitability should be assessed using the organizer’s published eligibility criteria, verified publications, research originality, documented contributions, and supporting evidence. The supplied profile alone does not establish nomination, selection, or receipt of an award. [2]

Conclusion

The supplied profile identifies Md Aktar Hossain with Lamar University and electrical engineering. His listed Scopus indicators summarize indexed publication and citation activity, but a comprehensive evaluation requires examining the underlying scholarly work. Verified bibliographic records, documented research contributions, and transparent award criteria can support a balanced assessment of research excellence and academic recognition.[3]

References

    1. Gibberellic acid (GA3) affects growth and development of some selected kenaf (Hibiscus cannabinus L.) cultivars.
      https://www.researchgate.net/publication/345668546
    2. Advances in sweetpotato breeding from 1992 to 2012. In: Potato and Sweetpotato in Africa.
      https://www.researchgate.net/publication/301699894
    3. Propagation of Latkan (Baccaurea sapida Muell.Arg.) by Mature Stem Cutting
      https://www.researchgate.net/publication/361208574

Minura Samaranayake | Bioinformatics | Best Researcher Award

Mr. Minura Samaranayake | Bioinformatics | Best Researcher Award

Mr. Zhishui You | Brain-Computer Interface – South Dakota State University | United States

Profile Verified

Orcid

Minura Samaranayake is a versatile engineer and researcher with a strong foundation in software development and satellite image processing. Currently pursuing a Master’s in Electrical Engineering at South Dakota State University, he works as a Graduate Research Assistant at the Image Processing Lab, focusing on hyperspectral and multispectral image analysis. He previously worked at Sysco LABS as a Software Engineer, building scalable cloud-based systems and AI-driven applications. Proficient in Java, Python, MATLAB, and AWS, Minura excels at creating robust pipelines and intelligent systems that bridge scientific research and real-world engineering.

🎓 Education

Minura is currently enrolled in the M.S. Electrical Engineering program at South Dakota State University (2023–2025), studying Machine Learning, Optical Sensors, and Deep Learning. He earned his B.Sc. in Computer Science from the University of Peradeniya, Sri Lanka (2018–2022), where he focused on Software Project Management, Functional Programming, and Image Processing. He received the Prize for Excellence in Computer Science and was listed on the Dean’s List. His education merges theoretical depth with applied skills in software engineering and signal processing.

💼 Experience

Minura has experience in both academia and industry. At SDSU, he developed automated Linux pipelines for radiometric calibration, MTF estimation, and hyperspectral analysis. At Sysco LABS, he built REST APIs and microservices using Java (Spring Boot), integrated Apache Kafka, and automated CI/CD with Docker and GitHub Actions. He also developed an AI-based safety wear detection system with TensorFlow. His contributions span scientific research and enterprise-grade solutions, showcasing his technical versatility and team collaboration skills.

🏅 Awards and Honors

Minura has received recognition for both academic excellence and leadership. He was awarded the Prize for Excellence in Computer Science (2022) and made the Dean’s List. In addition, he was the Rugby Team Captain (2021) at the University of Peradeniya. These honors reflect his multifaceted capabilities, commitment to personal development, and ability to balance academics and extracurriculars.

🔬 Research Focus

Minura’s research centers on satellite sensor calibration, particularly hyperspectral and multispectral imagery. At SDSU, he specializes in Trend-to-Trend cross-calibration, MTF modeling, and spectral band adjustment. He works with EPICS targets to ensure the harmonization of sensors like Landsat and Sentinel. His research supports global monitoring applications in climate, agriculture, and environmental science. His peer-reviewed publication in Remote Sensing underlines his scientific contributions and commitment to data accuracy in Earth observation.

📚 Selected Publication

Refinement of Trend-to-Trend Cross-Calibration Total Uncertainties Utilizing Extended Pseudo Invariant Calibration Sites (EPICS) Global Temporally Stable Target
  • Authors: Minura Samaranayake, Morakot Kaewmanee, Larry Leigh, Juliana Fajardo Rueda

  • Journal: Remote Sensing

  • Year: 2025