Sourav Kumar Purohit | Computer Science | Best Researcher Award

Best Researcher Award

Sourav Kumar Purohit

SRM University

    Sourav Kumar Purohit
Affiliation SRM University
Country India
Scopus ID 57264226200
Documents 7
Citations 131
h-index 4
Subject Area Computer Science
Event International Popular Scientist Awards
ORCID 0000-0002-3343-6818

Sourav Kumar Purohit is affiliated with SRM University, India, and has established a scholarly profile in the field of Computer Science. His indexed research contributions demonstrate sustained academic activity, interdisciplinary collaboration, and measurable citation impact. Based on the available bibliometric indicators, the researcher has published peer-reviewed scientific works indexed in Scopus while contributing to research areas involving computational methodologies and intelligent systems.[1]

Abstract

This article presents an academic overview of Sourav Kumar Purohit in relation to the Best Researcher Award. The profile summarizes institutional affiliation, publication performance, citation metrics, and scholarly impact within Computer Science. The available bibliometric indicators demonstrate active participation in peer-reviewed research and continued dissemination of scientific knowledge through internationally indexed publications.[1]

Keywords

Best Researcher Award; Sourav Kumar Purohit; SRM University; Computer Science; Artificial Intelligence; Machine Learning; Air Quality Prediction; Scopus Author; Citation Analysis; Research Excellence.

Introduction

Recognition through academic awards is commonly based upon sustained research productivity, publication quality, scholarly influence, and contributions to scientific advancement. Bibliometric indicators such as indexed publications, citation counts, and the h-index provide objective evidence supporting research evaluation. These measures complement qualitative assessments of innovation, collaboration, and scientific significance.[2]

Research Profile

  • Researcher: Sourav Kumar Purohit
  • Institution: SRM University
  • Country: India
  • Primary Subject Area: Computer Science
  • Scopus Author ID: 57264226200
  • Indexed Documents: 7
  • Total Citations: 131
  • h-index: 4

Research Contributions

The research portfolio reflects contributions to computational intelligence, predictive analytics, and data-driven modeling. Published work includes studies involving artificial intelligence, ensemble learning techniques, and environmental data analysis, demonstrating interdisciplinary application of computer science methodologies. The research contributes to scientific understanding while supporting technological innovation and evidence-based decision making.[3]

Publications

  • Accurate Air Quality Index Prediction Using Variational Mode Decomposition and Stacked Ensemble Learning. Book Chapter.
  • A Novel Series-Parallel Hybrid Method Employing Fusion of Deep Features for Air Quality Index Forecasting. Peer-reviewed research publication contributing to intelligent environmental prediction methodologies.

Research Impact

The available bibliometric indicators indicate measurable scholarly visibility with seven indexed publications, 131 citations, and an h-index of four. Citation performance suggests that the published research has been referenced by subsequent scholarly work, reflecting continuing academic relevance within the research community.[1]

Award Suitability

Based on the documented publication record, citation metrics, indexed research output, and contributions to Computer Science, Sourav Kumar Purohit demonstrates characteristics consistent with consideration for the Best Researcher Award. The profile reflects sustained scholarly engagement, peer-reviewed dissemination, interdisciplinary collaboration, and measurable research influence according to internationally recognized bibliometric indicators.[2]

Conclusion

The academic record presented illustrates continued contributions to Computer Science through peer-reviewed publications, citation impact, and interdisciplinary research activities. Objective research metrics and scholarly productivity collectively support recognition within academic award programs emphasizing excellence, innovation, and scientific contribution.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Sourav Kumar Purohit, Author ID 57264226200. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57264226200
  2. International Popular Scientist Awards. (n.d.). Best Researcher Award.
    https://popularscientist.com/
  3. Pradhan, S. S., Dora, K. K., & Purohit, S. K. (2026). Accurate Air Quality Index Prediction Using Variational Mode Decomposition and Stacked Ensemble Learning.
    DOI: https://doi.org/10.1007/978-3-032-16830-6_16
  4. Pradhan, S. S., Dora, K. K., & Purohit, S. K. (2026). Accurate air quality index prediction using variational mode decomposition and stacked ensemble learning.

Hsueh-Chan Lu | Computer Science | Research Excellence Award

Dr. Hsueh-Chan Lu | Computer Science | Research Excellence Award

Professor | National Cheng Kung University | Taiwan

Dr. Hsueh-Chan Lu is a senior academic and researcher specializing in geomatics, intelligent transportation systems, and spatial information science. His research integrates visual localization, indoor positioning, deep learning, and multi-modal signal adaptation to address challenges in intelligent mobility and location-based services. He has produced high-impact contributions in routing optimization, localization algorithms, bike-sharing systems, and predictive spatial analytics, published in leading international journals and conferences. His scholarly output includes 57 documents, achieving an h-index of 17 with 1,130 citations from 995 citing documents, reflecting strong academic influence and sustained research impact alongside leadership, mentorship, and professional service.

Citation Metrics (Scopus)

1200

900

600

300

0

Citations
1,130

Documents
57

h-index
17

🟦 Citations    🟥 Documents    🟩 h-index


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Featured Publications

Stefanos Nikiforos | Computer Science | Research Excellence Award

Dr. Stefanos Nikiforos | Computer Science | Research Excellence Award

Ionian University | Greece

Dr. Stefanos Nikiforos is a researcher in informatics and education whose work integrates artificial intelligence, natural language processing, and digital pedagogy to enhance learning environments. His research focuses on intelligent educational technologies, virtual learning communities, behavioral analysis, and the detection of bullying and harmful behaviors through language data, with particular expertise in Greek-language corpora. He has contributed to scholarly journals, conference proceedings, and book chapters, and actively participates in editorial and peer-review activities. His scholarly output includes 15 documents with 104 citations across 83 citing sources and an h-index of 5, reflecting growing academic impact alongside extensive professional experience in academic research, higher education teaching, educational leadership, and collaborative digital learning platform development.

Citation Metrics (Scopus)

120

90

60

30

0

Citations
104

Documents
15

h-index
5

🟦 Citations    🟥 Documents    🟩 h-index


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   View Orcid Profile
    View Google Scholar Profile

Featured Publications

Nooshin Nemati | Computer Science | Best Researcher Award

Ms. Nooshin Nemati | Computer Science | Best Researcher Award

Ankara University, Turkey

Dr. Nooshin Nemati is a dedicated researcher in the fields of Artificial Intelligence, Deep Learning, and Medical Image Processing, currently pursuing her PhD in Computer Engineering at Ankara University, where she also contributes to multiple AI-based cancer detection projects. She holds a Master’s degree in Electrical and Electronics Engineering from Yuzuncu Yıl University and a Bachelor’s from Qazvin Azad University.

Profile:

Educational Background:

Nooshin Nemati is currently a PhD candidate in Computer Engineering at Ankara University. She earned her Master’s degree in Electrical and Electronics Engineering from Yuzuncu Yıl University with a completed her undergraduate studies at Qazvin Azad University in Iran.

Research Areas:

Her main research interests lie in Artificial Intelligence, Deep Learning, Medical Image Processing, and Computer Vision, particularly applied to cancer detection in histopathology images. She focuses on segmentation, classification, and detection tasks using advanced deep learning frameworks.

Projects and Contributions:

She has actively contributed to significant research initiatives such as the TUBITAK 1001 Project, focused on deep learning methodologies for breast cancer detection, and the BAP Project, which deals with cancer region detection in histopathology images. She has also been involved in the development of important datasets such as NuSeC and MiDeSeC, aimed at supporting machine learning in medical imaging. In addition, she has applied her technical skills in software development projects including system analysis and automation tools for banks.

Technical Skills:

Nooshin is proficient in AI, Machine Learning, Deep Learning, and programming frameworks such as ASP.NET and WordPress. She also holds certifications like Network+ and CCNA, showcasing her broad technical competence.

Citation Metrics:

  • Total Citations: 75

  • Citations Since 2020: 71

  • h-index: 6

  • h-index Since 2020: 5

  • i10-index: 3

  • i10-index Since 2020: 3

Publication Top Notes:

  • An imbalance-aware nuclei segmentation methodology for H&E stained histopathology images
    2023
    Citations: 22

  • Detection of colorectal cancer with vision transformers
    2022
    Citations: 11

  • Effect of color normalization on nuclei segmentation problem in H&E stained histopathology images
    2022
    Citations: 10

  • A hybridized deep learning methodology for mitosis detection and classification from histopathology images
    2023
    Citations: 8

  • CompSegNet: An enhanced U-shaped architecture for nuclei segmentation in H&E histopathology images
    2024
    Citations: 7