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

Pritam Chakraborty | Image Processing | Best Researcher Award

Mr. Pritam Chakraborty | Image Processing | Best Researcher Award

Research Scholar at Kalinga Institute of Industrial Technology, India📖

Dr. Pritam Chakraborty is a dedicated researcher in computer vision, image segmentation, and autonomous vehicle technology, specializing in deep learning and machine learning applications. Currently pursuing his Ph.D. under the Visvesvaraya PhD Scheme (MeitY, Govt. of India) at Kalinga Institute of Industrial Technology, his work focuses on real-time image segmentation for autonomous vehicles in unstructured environments. His research contributions extend to medical imaging, game theory, and AI-driven healthcare predictions.

Profile

Scopus Profile

Google Scholar Profile

Education Background🎓

  1. Ph.D. in Information Technology (Ongoing) – Kalinga Institute of Industrial Technology (2023 – Present)
    • Topic: Image segmentation for autonomous vehicles in unstructured environments
  2. Integrated Postgraduate (B.Tech + M.Tech) in Information Technology – Indian Institute of Information Technology, Gwalior (2018 – 2023)
    • Thesis: Semantic Segmentation using Modified Deeplab V3 Plus for Autonomous Vehicles
  3. Higher Secondary (Science) – Bidhan Chandra Institution (2016 – 2018)

Professional Experience🌱

Dr. Chakraborty has been actively involved in academic research, data-driven AI applications, and deep learning innovations. His expertise spans machine learning, neural networks, and game theory-based AI modeling. He has contributed to multiple high-impact journal publications and IEEE conference proceedings, presenting novel AI frameworks for real-time segmentation, medical diagnostics, and autonomous driving technologies. His work integrates AI-driven decision-making models, stroke prediction, and computer vision advancements for real-world applications.

Research Interests🔬

Her research interests include:

  • Autonomous Vehicles & Image Segmentation (Deep Learning for Real-time Road Analysis)
  • Medical AI & Predictive Analytics (Stroke Prediction & Hemorrhage Detection)
  • Machine Learning & Game Theory in Healthcare
  • Convolutional Neural Networks (CNNs) & Pyramid Networks for Image Processing

Author Metrics

  • Journal Articles: Published in SN Computer Science, BMC Bioinformatics, and IEEE Transactions on Intelligent Transportation Systems (communicated)
  • Conference Papers: Presented at IEEE ICASSP, IEEE CONECCT (IISc Bangalore), IEEE AITU Digital Generation
  • H-Index & Citations: Growing impact in AI-driven image segmentation and medical diagnostics
Awards and Honors
  • Rank 1 in Visvesvaraya PhD Fellowship Entrance Test (2024) – KIIT, MeitY (Govt. of India)
  • GATE Qualified (2022) – Computer Science & Information Technology
  • JEE Qualified (2018) – Secured admission in IIIT Gwalior
Publications Top Notes 📄

1. OptiSelect and EnShap: Integrating Machine Learning and Game Theory for Ischemic Stroke Prediction

  • Authors: P. Chakraborty, A. Bandyopadhyay, S. Parui, S. Swain, P.S. Banerjee, T. Si, …
  • Journal: PLOS One
  • Status: Communicated
  • DOI: 10.21203/rs.3.rs-3841050/v1
  • Year: 2024
  • Summary: This paper presents the integration of machine learning and game theory for predicting ischemic stroke, exploring how these techniques can enhance diagnostic accuracy in medical predictions.

2. IndiRTS: Real-Time Segmentation for Autonomous Vehicles for Indian Conditions

  • Authors: P. Chakraborty, A. Bandyopadhyay, R. Ghosh, R. Sarkar
  • Journal: SN Computer Science
  • Volume: 6, Issue 2
  • Pages: 1-13
  • Year: 2025
  • DOI: 10.1007/s42979-025-00788-z
  • Summary: This research proposes IndiRTS, a real-time image segmentation model for autonomous vehicles tailored for Indian driving conditions, focusing on improving the safety and efficiency of self-driving cars in challenging environments.

3. Predicting Stroke Occurrences: A Stacked Machine Learning Approach with Feature Selection and Data Preprocessing

  • Authors: P. Chakraborty, A. Bandyopadhyay, P.P. Sahu, A. Burman, S. Mallik, …
  • Journal: BMC Bioinformatics
  • Volume: 25, Issue 1
  • Article: 329
  • Year: 2024
  • Summary: This paper introduces a stacked machine learning model for stroke occurrence prediction, incorporating feature selection and data preprocessing to enhance the model’s diagnostic reliability.

4. PyramidNet: Image Segmentation Model for Autonomous Vehicles for Indian Conditions

  • Authors: P. Chakraborty, A. Bandyopadhyay
  • Conference: 10th IEEE International Conference on Electronics, Computing, and Communication Technologies (CONECCT)
  • Location: IISc Bangalore
  • Year: 2024
  • Summary: The paper discusses the development of PyramidNet, an image segmentation model specifically designed for autonomous vehicles operating under Indian environmental conditions, improving vehicle navigation and road safety.

5. Automated Detection of Intracranial Hemorrhage using Convolutional Neural Networks

  • Authors: P. Chakraborty, A. Bandyopadhyay, M. Misra, P. Gupta, T.H. Sardar, …
  • Conference: 2024 IEEE AITU: Digital Generation
  • Pages: 20-26
  • Year: 2024
  • DOI: 10.1109/IEEECONF61558.2024.10585483
  • Summary: This work explores the use of convolutional neural networks (CNNs) for the automated detection of intracranial hemorrhage, showcasing the application of deep learning techniques in medical diagnostics.

Conclusion

Dr. Pritam Chakraborty is a highly deserving candidate for the Best Researcher Award, thanks to his innovative research, strong academic record, and interdisciplinary expertise. His work has the potential to transform the fields of autonomous driving and medical AI, and with some additional focus on scaling and global visibility, he will undoubtedly continue to make game-changing contributions.