Durgadevi P | Research Excellence Award | Image Analysis

Research Excellence Award

Durgadevi P
SRM Institute of Science and Technology,

Durgadevi P is affiliated with SRM Institute of Science and Technology, India, and is associated with research in Image Analysis. The Research Excellence Award recognition highlights the documented research profile and scholarly contributions represented through the researcher’s indexed academic record.

Durgadevi P
Affiliation SRM Institute of Science and Technology
Country India
Scopus ID 55857666800
Documents 27
Citations 79
h-index 4
Subject Area Image Analysis
Event International Research Awards on Network Science & Graph Analytics
ORCID 0000-0001-5486-7345

Abstract

The Research Excellence Award profile for DURGADEVI P documents an academic research record associated with SRM Institute of Science and Technology and the subject area of Image Analysis. The available indexed profile records 27 documents, 79 citations, and an h-index of 4. These bibliometric indicators provide a quantitative description of the researcher’s indexed scholarly output and citation activity. [1]

Keywords

  • Research Excellence Award
  • DURGADEVI P
  • Image Analysis
  • Research Excellence
  • Academic Research
  • Computer Vision
  • Scholarly Publications
  • Research Impact

Introduction

Image analysis is a research area concerned with extracting, interpreting, and representing meaningful information from digital images. It intersects with fields such as computer vision, pattern recognition, image processing, and data-driven computational methods. Within this broad research landscape, scholarly work may address image representation, feature extraction, classification, segmentation, recognition, and analytical methods for interpreting visual information.

DURGADEVI P’s listed subject area is Image Analysis, with an academic affiliation at SRM Institute of Science and Technology. The research profile considered for this recognition includes bibliometric information recorded under Scopus Author ID 55857666800. [1]

Research Profile

The available research profile identifies DURGADEVI P as a researcher affiliated with SRM Institute of Science and Technology in India. The indexed record reports 27 documents and 79 citations, together with an h-index of 4. [1] These indicators can be used to describe the scope of the indexed publication record and the citation activity associated with the author’s Scopus profile.

  • Research domain: Image Analysis
  • Institutional affiliation: SRM Institute of Science and Technology
  • Indexed documents: 27
  • Recorded citations: 79
  • h-index: 4

Research Contributions

The documented subject specialization places the research profile within Image Analysis. Research in this area can contribute to the development of computational approaches for processing and interpreting visual information, including methods that support image understanding, feature representation, classification, segmentation, and related analytical tasks. The specific contribution areas of an individual researcher should be assessed from the corresponding publications, methods, datasets, and documented findings.

For DURGADEVI P, the available bibliometric record provides evidence of an indexed scholarly publication portfolio but does not, by itself, establish the precise methodological contribution of each publication. Accordingly, research contributions are best interpreted alongside the researcher’s individual publications and associated scholarly records. [1]

Publications

The Scopus profile associated with Author ID 55857666800 records 27 documents for the researcher. [1] The document count represents the indexed scholarly output available through the cited author record. Individual publication titles, journals, publication years, co-authors, and DOI information should be verified against the relevant bibliographic records before being attributed to the researcher.

No specific publication or DOI has been supplied as part of the present profile data. Therefore, no individual DOI is attributed here without a corresponding verified publication record.

Research Impact

The indexed record reports 79 citations and an h-index of 4. [1] These measures provide quantitative indicators of citation activity associated with the indexed publications. Citation counts and h-index values can change over time as additional publications are indexed and new citations are recorded, so the figures should be understood as profile-specific measurements rather than permanent values.

The researcher’s work is situated within Image Analysis, a field with applications across scientific, engineering, medical, industrial, and computational settings. The broader significance of individual contributions should be evaluated from the research questions addressed, methodological originality, reproducibility, publication venues, and documented use or impact of the resulting work.

Award Suitability

The Research Excellence Award profile is supported by the documented academic affiliation, subject specialization, indexed publication record, and bibliometric indicators supplied for DURGADEVI P. The available Scopus information identifies 27 documents, 79 citations, and an h-index of 4. [1]

For formal award evaluation, these indicators can be considered alongside the originality and quality of the research, publication record, technical contributions, collaboration, relevance to the stated research area, and supporting evidence submitted by the nominee. Bibliometric indicators are descriptive measures and should be interpreted together with qualitative evidence rather than treated as the sole basis for recognition.

Conclusion

DURGADEVI P of SRM Institute of Science and Technology is presented in this academic recognition profile as a researcher working in the area of Image Analysis. The supplied indexed record reports 27 documents, 79 citations, and an h-index of 4. [1] These data establish a documented scholarly profile that can be considered within the broader assessment of research excellence and contribution.

The Research Excellence Award recognition is associated with the International Research Awards on Network Science & Graph Analytics. Further evaluation of specific research achievements should rely on verified publications, author identifiers, institutional information, and supporting research documentation.

References

  1. Elsevier. (n.d.). Scopus author details: DURGADEVI P, Author ID 55857666800. Scopus.https://www.scopus.com/authid/detail.uri?authorId=55857666800

Boyuan Bai | Computer Vision | Research Excellence Award

Dr. Boyuan Bai | Computer Vision | Research Excellence Award

Beijing University of Posts and Telecommunications |China

Dr. Boyuan Bai is a dedicated researcher currently pursuing his Ph.D. at the State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, China, specializing in multi-view scene reconstruction, deep reinforcement learning, and computer graphics. His innovative work includes the development of UncertainGS, an uncertainty-aware indoor reconstruction pipeline leveraging Gaussian Splatting to produce high-fidelity indoor surface models, as published in Neurocomputing (2025). Through this research, he introduced an uncertainty-aware learner utilizing cross-modal random network prediction to estimate prior cue uncertainties and integrated the Manhattan-world assumption to improve reconstruction in textureless environments, ensuring consistent geometric alignment of Gaussian kernels. His contributions reflect strong expertise in intelligent visual computing and advancing next-generation 3D reconstruction methodologies.

Profiles: Scopus

Featured Publications

"Two grids are better than one: Hybrid indoor scene reconstruction framework with adaptive priors", Boyuan Bai, Neurocomputing, 2025.

Sukumar Letchmunan | Computer Science | Best Researcher Award

Dr. Sukumar Letchmunan | Computer Science | Best Researcher Award

Senior Lecturer at University Sains Malaysia, Malaysia

Dr. Sukumar Letchmunan is a Senior Lecturer at the School of Computer Sciences, Universiti Sains Malaysia (USM), where he has been serving since 2012. He holds a PhD in Computer Science from the University of Strathclyde, UK, with a focus on pragmatic cost estimation for web applications. Dr. Sukumar has over two decades of academic and research experience, previously serving as a lecturer at Wawasan Open University, Cybernetics College of Technology, and a part-time lecturer at Universiti Putra Malaysia. His career spans teaching, curriculum development, research supervision, and leading national research grants. He is passionate about software engineering, agile project management, and integrating machine learning into practical computing applications.

🔹Professional Profile:

Scopus Profile

Orcid Profile

Google Scholar Profile

🎓Education Background

  • PhD in Computer Science
    University of Strathclyde, UK
    (Thesis: Pragmatic Cost Estimation for Web Applications) – 2013

  • Master in Computer Science (Software Engineering)
    University Putra Malaysia – CGPA 3.479

  • Bachelor in Computer Science (Computer System)
    University Putra Malaysia – CGPA 3.678

  • Diploma in Computer Science
    University Putra Malaysia – CGPA 3.4

💼 Professional Development

Senior Lecturer
School of Computer Sciences, Universiti Sains Malaysia (USM) | Nov 2012 – Present

  1. Programme Manager for Bachelor in Software Engineering

  2. Lectures courses: Research Methodology, Software Quality, Software Testing, Discrete Structures, Software Requirement Engineering

  3. Supervised 2 PhD and 8 Master students to graduation

  4. Secured national research grants (e.g., FRGS) totaling over RM 400,000

  5. Awarded “Employee of the Year 2022”

  6. Served as Industrial Fellow under CEO@Faculty programme

Lecturer
Wawasan Open University (WOU) | Aug 2005 – Dec 2007

  1. Developed and authored teaching modules

  2. Published adapted academic book on Microsoft Office 2003

Lecturer
Cybernetics College of Technology (CICT) | May 2001 – Aug 2005

  1. Coordinated diploma programs and supported student recruitment

  2. Named “Best Lecturer” for three consecutive years (2002–2004)

Part-time Lecturer
Universiti Putra Malaysia (UPM) | Jun 2003 – May 2005

  1. Taught core courses including Java Programming

🔬Research Focus

  • Software Engineering and Metrics for Web Applications

  • Agile Project Management & Software Cost Estimation

  • Machine Learning Applications in Software Systems

  • Energy-Efficient Software Design

  • Emotion Modeling for Intelligent Interfaces

  • Crime Hotspot Prediction Using Data Mining and Forecasting Techniques

📈Author Metrics:

  • Prolific Publisher: Over 20 peer-reviewed journal papers between 2020–2022 in journals such as Mathematics, Fractal and Fractional, Symmetry, and Journal of Applied Mathematics and Informatics.

  • Notable publications focus on q-analogues, (p,q)-polynomials, and solutions to differential equations.

  • His work is widely cited in the fields of analytic number theory, q-series, and special functions.

🏆Awards and Honors:

  • Employee of the Year – Universiti Sains Malaysia, 2022

  • Best Lecturer – Cybernetics College of Technology (2002, 2003, 2004)

  • Industrial Fellow – CEO@Faculty Programme

  • Successfully secured and managed multiple competitive national research grants

📝Publication Top Notes

✅ 1. Auto Feature Weighted C-Means Type Clustering Methods for Color Image Segmentation

  • Authors: S. Zhu, Z. Liu, S. Letchmunan, H. Qiu

  • Journal: Engineering Applications of Artificial Intelligence

  • Volume: 153

  • Article Number: 110768

  • Year: 2025

  • DOI: [Not provided – add if available]

  • Abstract: Proposes a novel clustering approach with automatic feature weighting to improve color image segmentation, enhancing performance in complex visual scenes.

✅ 2. Robust Multi-View Fuzzy Clustering with Exponential Transformation and Automatic View Weighting

  • Authors: Z. Liu, H. Qiu, M. Deveci, S. Letchmunan, L. Martínez

  • Journal: Knowledge-Based Systems

  • Volume: 315

  • Article Number: 113314

  • Year: 2025

  • DOI: [Not provided – add if available]

  • Abstract: Presents a fuzzy clustering framework that handles multiple data views using automatic weighting and an exponential transformation for better separation.

✅ 3. Novel Distance Measures on Complex Picture Fuzzy Environment: Applications in Pattern Recognition, Medical Diagnosis and Clustering

  • Authors: S. Zhu, Z. Liu, S. Letchmunan, G. Ulutagay, K. Ullah

  • Journal: Journal of Applied Mathematics and Computing

  • Volume: 71

  • Issue: 2

  • Pages: 1743–1775

  • Year: 2025

  • DOI: [Not provided – add if available]

  • Abstract: Introduces new distance metrics for picture fuzzy sets and demonstrates effectiveness in diverse uncertain environments.

✅ 4. START: A Spatiotemporal Autoregressive Transformer for Enhancing Crime Prediction Accuracy

  • Authors: U. M. Butt, S. Letchmunan, M. Ali, H. H. R. Sherazi

  • Journal: IEEE Transactions on Computational Social Systems

  • Year: 2025

  • DOI: [Not provided – add if available]

  • Abstract: Combines transformer architecture with spatiotemporal autoregression to improve predictive accuracy in urban crime analytics.

✅ 5. Construction of New Similarity Measures for Complex Pythagorean Fuzzy Sets and Their Applications in Decision-Making Problems

  • Authors: D. Wang, S. Letchmunan, J. Liao, H. Qiu, Z. Liu

  • Journal: Journal of Intelligent Decision Making and Information Science

  • Volume: 2

  • Pages: 156–173

  • Year: 2025

  • DOI: [Not provided – add if available]

  • Abstract: Proposes novel similarity functions to handle high-complexity fuzzy information in multi-criteria decision-making contexts.

.Conclusion:

Dr. Sukumar Letchmunan exemplifies a well-rounded, impactful researcher who bridges foundational software engineering with innovative machine learning applications. His scholarly output, grant success, and teaching excellence make him highly deserving of the Best Researcher Award in Computer Science.

🟩 Recommendation: Strongly Recommended

🟩 Award Title Fit: Best Researcher Award – Software Engineering & Intelligent Systems