V SUNDARA SIVAKUMAR | Electronics and Communication Engineering | Research Excellence Award

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Research Excellence Award

V SUNDARA SIVAKUMAR
VIGNAN FOUNDATION OF SCIENCE TECHNOLOGY AND RESEARCH (DEEMED TO BE UNIVERSITY), HYDERABAD

V SUNDARA SIVAKUMAR
Affiliation VIGNAN FOUNDATION OF SCIENCE TECHNOLOGY AND RESEARCH (DEEMED TO BE UNIVERSITY), HYDERABAD
Country India
Scopus ID 57193801699
Documents 3
Citations 10
h-index 1
Subject Area Electronics and Communication Engineering (ECE)
Event Indian Scientist Awards
ORCID 0000-0003-3533-0125

V SUNDARA SIVAKUMAR is a researcher affiliated with VIGNAN FOUNDATION OF SCIENCE TECHNOLOGY AND RESEARCH (Deemed to be University), Hyderabad, working in the area of Electronics and Communication Engineering (ECE). The research profile associated with the provided Scopus record reports 3 documents, 10 citations, and an h-index of 1. These bibliometric indicators provide a concise quantitative view of the researcher’s indexed scholarly output and citation impact. [1]

Abstract

V SUNDARA SIVAKUMAR is affiliated with VIGNAN FOUNDATION OF SCIENCE TECHNOLOGY AND RESEARCH (Deemed to be University), Hyderabad, with a research focus in Electronics and Communication Engineering. The supplied Scopus profile identifies 3 documents, 10 citations, and an h-index of 1. The available bibliometric indicators demonstrate an indexed scholarly record with measurable citation activity. This profile summarizes the researcher’s academic information and evaluates the available evidence in the context of a Research Excellence Award nomination.[1]

Keywords

Electronics and Communication Engineering; ECE; Research Excellence; Research Impact; Bibliometrics; Scholarly Publications; Citation Analysis; Scopus; Indian Scientist Awards.

Introduction

Electronics and Communication Engineering encompasses research and technological development involving electronic systems, communication technologies, signal processing, embedded systems, wireless networks, and related engineering applications. Scholarly evaluation within this field may consider both the quality of research contributions and their visibility through indexed publications and citations.

Bibliometric indicators such as publication counts, citation counts, and the h-index are commonly used as quantitative measures for describing research output and citation activity. However, such indicators are most appropriately interpreted alongside subject area, publication context, research contribution, and the broader academic record.[1] [2]

In the present profile, the available information identifies V SUNDARA SIVAKUMAR as a researcher in ECE affiliated with VIGNAN FOUNDATION OF SCIENCE TECHNOLOGY AND RESEARCH (Deemed to be University), Hyderabad. The supplied Scopus record provides the principal quantitative evidence used in this article.[1]

Research Profile

The researcher’s profile is associated with Electronics and Communication Engineering. The institutional affiliation supplied for this article is VIGNAN FOUNDATION OF SCIENCE TECHNOLOGY AND RESEARCH (Deemed to be University), Hyderabad. The corresponding Scopus author identifier is 57193801699.[1]

  • Researcher: V SUNDARA SIVAKUMAR
  • Institution: VIGNAN FOUNDATION OF SCIENCE TECHNOLOGY AND RESEARCH (Deemed to be University), Hyderabad
  • Subject Area: Electronics and Communication Engineering (ECE)
  • Scopus Documents: 3
  • Citations: 10
  • h-index: 1

Research Contributions

The available data establish a documented scholarly publication record in the field of Electronics and Communication Engineering. With 3 indexed documents and 10 citations, the profile indicates that the research output has received citation activity within the indexed scholarly literature.[1]

Publications

The supplied Scopus profile reports 3 documents associated with the researcher. Publication-level titles, journal information, publication years, authorship details, and DOI identifiers were not provided in the input data. Therefore, individual publications are not listed here to avoid introducing unsupported bibliographic information.[1]

Research Impact

The available bibliometric record reports 10 citations across 3 indexed documents, with an h-index of 1.[1] These indicators provide evidence of citation activity and can be used as part of a broader academic assessment.

The h-index of 1 indicates that at least one publication in the indexed record has received at least one citation. Citation counts and h-index values are dynamic and may change as additional publications are indexed and existing publications receive further citations.[2]

Bibliometric indicators should not be treated as a complete measure of research quality. A balanced academic assessment may also consider originality, methodological rigor, relevance to the field, publication quality, collaboration, practical contributions, and the significance of individual research outputs.[2]

Award Suitability

Based on the supplied information, V SUNDARA SIVAKUMAR has an identifiable institutional affiliation, a defined subject area in Electronics and Communication Engineering, and a Scopus-indexed research record comprising 3 documents and 10 citations with an h-index of 1.[1] These elements provide a documented basis for consideration under a research-focused recognition category.

Conclusion

V SUNDARA SIVAKUMAR is affiliated with VIGNAN FOUNDATION OF SCIENCE TECHNOLOGY AND RESEARCH (Deemed to be University), Hyderabad, and is associated with the field of Electronics and Communication Engineering. The supplied Scopus record reports 3 documents, 10 citations, and an h-index of 1.[1]These indicators establish a measurable indexed research profile while providing a limited quantitative view of scholarly impact.

References

  1. Scopus Author Profile, V SUNDARA SIVAKUMAR, Author ID 57193801699. Bibliographic and citation information supplied for the present academic profile.
    https://www.scopus.com/authid/detail.uri?authorId=57193801699
  2. Orcid Profile, V SUNDARA SIVAKUMAR, Author ID 0000-0003-3533-0125
    https://orcid.org/0000-0003-3533-0125

  3. Analysis of vibrational spectra of nano-bio molecules: Application to metalloporphyrins
    https://iopscience.iop.org/article/10.1088/1674-1056/22/9/090304/meta

  4. Google Scholar Profile, V SUNDARA SIVAKUMAR, Author ID  ZJnBMLQAAAAJ
    https://scholar.google.com/citations?user=ZJnBMLQAAAAJ&hl=en&oi=sra

Janaki G | Electrical and Electronics Engineering | Innovative Research Award

Posted-on by Indian Scientist Awards

Innovative Research Award

Janaki G
SRM Institute of Science and Technology, India
Janaki G
Affiliation SRM Institute of Science and Technology
Country India
Scopus ID 57559034200
Documents 29
Citations 266
h-index 11
Subject Area Electrical and Electronics Engineering
Event Indian Scientist Awards
ORCID 0000-0002-0748-4904

Janaki G is a researcher affiliated with the SRM Institute of Science and Technology, India, working in the broad field of Electrical and Electronics Engineering. The researcher profile supplied for this academic recognition page records 29 documents, 266 citations, and an h-index of 11 in the associated Scopus profile. These bibliometric indicators provide quantitative information about the indexed research record and should be interpreted in relation to publication venue, field, career stage, collaboration patterns, and citation practices. [1][2]

Abstract

This academic recognition profile presents the research record of Janaki G of the SRM Institute of Science and Technology in the field of Electrical and Electronics Engineering. The profile identifies an indexed research record comprising 29 documents, 266 citations, and an h-index of 11 according to the supplied Scopus information. The Innovative Research Award recognition is considered in the context of scholarly activity, documented research output, citation indicators, subject-area relevance, and institutional affiliation. Bibliometric indicators are useful for describing research visibility, but they do not independently measure the quality, originality, societal value, or practical significance of individual research contributions. [1][2]

Keywords

Janaki G; Innovative Research Award; Electrical and Electronics Engineering; electrical engineering; electronics engineering; scholarly communication; research publications; bibliometrics; citation analysis; research impact; SRM Institute of Science and Technology.

Introduction

Electrical and Electronics Engineering encompasses research involving electrical systems, electronic devices, communication technologies, control systems, power systems, signal processing, embedded technologies, and related computational and engineering applications. Research in these areas commonly combines theoretical development, experimental validation, computational analysis, and implementation-oriented approaches. [3]

Within this context, scholarly recognition can consider multiple forms of evidence, including peer-reviewed publications, documented research activity, collaboration, citation performance, and the relevance of research to an identified technical discipline. Citation-based indicators such as citation counts and h-index values can help describe the visibility of a publication record, although their interpretation varies substantially between disciplines and individual career stages. [1][2]

Research Profile

Janaki G is affiliated with the SRM Institute of Science and Technology in India and is associated with the subject area of Electrical and Electronics Engineering. The supplied researcher identifiers include a Scopus author profile and an ORCID identifier, providing persistent mechanisms for distinguishing a researcher’s scholarly record from similarly named researchers.

Profile Attribute Recorded Information
Researcher Janaki G
Institution SRM Institute of Science and Technology
Country India
Subject Area Electrical and Electronics Engineering
Scopus Documents 29
Scopus Citations 266
h-index 11

Research identifiers such as ORCID are designed to provide persistent identification of researchers and help connect scholarly activities across systems. Scopus author identifiers similarly support author disambiguation within the Scopus indexing environment. [4][5]

Research Contributions

The available profile information places Janaki G within Electrical and Electronics Engineering. A complete assessment of research contributions should consider the substance of individual publications, methodological approaches, technical novelty, reproducibility, applications, collaborations, and the venues in which the work has been disseminated. Bibliometric indicators can complement, but should not replace, qualitative examination of research outputs. [1][2]

  • Research activity is associated with the broad discipline of Electrical and Electronics Engineering.
  • The supplied profile records a measurable body of indexed scholarly publications.
  • The recorded citation count provides an indicator of subsequent scholarly references to the indexed publication record.
  • The h-index of 11 represents a citation-based indicator of the relationship between publication output and citation frequency. [2]

Publications

The supplied Scopus profile records 29 documents associated with the researcher identifier. Because publication titles, journal information, years, authorship positions, and individual DOI records were not supplied as part of the source profile data for this page, specific publication-level claims are not attributed here. The complete publication record should be reviewed through the researcher’s indexed profile and persistent researcher identifiers before making publication-specific assessments.

For scholarly evaluation, individual publications may be examined according to research question, methodological rigor, technical contribution, peer-review status, publication venue, citation context, and subsequent use or extension by other researchers. Citation counts alone do not establish the scientific quality of a particular publication. [1]

Research Impact

The supplied bibliometric record indicates 266 citations across 29 indexed documents, together with an h-index of 11. These measures provide quantitative evidence concerning the visibility of the indexed research output. Their interpretation should account for differences in citation behavior among engineering subfields, publication age, co-authorship, database coverage, and the distinction between citations that reflect substantive scholarly engagement and those that arise from other forms of referencing. [1][2]

  1. Publication volume provides an indication of documented scholarly output.
  2. Citation count provides a measure of how frequently indexed publications have been cited.
  3. The h-index combines publication and citation information into a single bibliometric indicator. [2]

Award Suitability

The Innovative Research Award is associated with the Indian Scientist Awards event. Based on the information supplied for this profile, Janaki G has an institutional affiliation in India, a research specialization in Electrical and Electronics Engineering, and a documented indexed research record consisting of 29 documents, 266 citations, and an h-index of 11. These details provide identifiable academic-profile information relevant to a recognition profile, while the determination of award eligibility or final recognition remains subject to the applicable award criteria and verification procedures.

A comprehensive recognition assessment may additionally examine the originality and significance of individual research contributions, publication quality, evidence of innovation, research applications, collaboration, and supporting academic documentation. Such qualitative evidence is important because bibliometric indicators are descriptive measures rather than comprehensive measures of research quality. [1]

Conclusion

Janaki G is presented in this academic recognition profile as a researcher affiliated with the SRM Institute of Science and Technology, India, in the field of Electrical and Electronics Engineering. The supplied Scopus information records 29 documents, 266 citations, and an h-index of 11. These indicators document aspects of the researcher’s indexed scholarly activity and visibility. A complete evaluation of research achievement should combine such quantitative information with examination of individual publications, research originality, technical contributions, applications, and other appropriate qualitative evidence. [1][2]

References

  1. Critical aspects of electric motor drive controllers and mitigation of torque ripple.
    https://ieeexplore.ieee.org/abstract/document/9810943
  2. An enhanced model predictive direct torque control of SRM drive based on a novel modified switching strategy for low torque ripple.
    https://ieeexplore.ieee.org/abstract/document/10363198
  3. A Comprehensive Evaluation and Assessment Practices of Electromagnetic Interferences in Electric Vehicle
    https://ieeexplore.ieee.org/abstract/document/10852292
  4. ORCID. ORCID: Connecting research and researchers through persistent identifiers.
    https://orcid.org/0000-0002-0748-4904
  5. Elsevier. Scopus: Abstract and citation database of peer-reviewed literature.
    https://www.scopus.com/authid/detail.uri?authorId=57559034200

Sunil Datt Sharma | Computer Science | Best Researcher Award

Posted-on by Indian Scientist Awards

Dr. Sunil Datt Sharma | Computer Science | Best Researcher Award

Central University of Jammu | India

Dr. Sunil Datt Sharma is a distinguished researcher in the fields of Digital Signal Processing, Adaptive Signal Processing, and Machine Learning Applications, recognized for his contributions across computational biology, biomedical signal analysis, and intelligent imaging systems. With 289 citations, an h-index of 9, and 9 indexed documents, his research is widely acknowledged for its technical depth and interdisciplinary impact. He has authored numerous journal articles, conference papers, and book chapters covering areas such as CpG island detection, promoter identification using deep learning, image de-noising, transfer learning for fault diagnosis, micro-Doppler signature analysis, anisotropic diffusion models, and advanced frequency-domain algorithms. His academic background encompasses strong training in electronics, computing, and signal processing, complemented by extensive experience in teaching, research, and scholarly reviewing for reputed international journals. His research interests span computational genomics, machine learning-based biomedical systems, pattern recognition, and intelligent signal analysis. He has been actively engaged in professional peer-review activities for more than twenty journals, reflecting his standing within the global research community. His work integrates innovative algorithms with real-world applications, contributing to both theoretical advancement and practical solutions. Dr. Sharma continues to advance cutting-edge research aimed at addressing complex challenges across science and engineering.

Profile: Google Scholar

Featured Publications

Sharma, S. D., Shakya, K., & Sharma, S. N. (2011). Evaluation of DNA mapping schemes for exon detection. In 2011 International Conference on Computer, Communication and Electrical Technology (ICCCET). (Cited by: 42).

Sharma, S., Sharma, S. N., & Saxena, R. (2020). Identification of short exons disunited by a short intron in eukaryotic DNA regions. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 17(5). (Cited by: 33).

Sharma, S. D., Saxena, R., & Sharma, S. N. (2015). Identification of microsatellites in DNA using adaptive S-transform. IEEE Journal of Biomedical and Health Informatics, 19(3), 1097–1105. (Cited by: 23).

Garg, P., & Sharma, S. (2020). Identification of CpG islands in DNA sequences using short-time Fourier transform. Interdisciplinary Sciences: Computational Life Sciences, 12(3), 355–367. (Cited by: 19).

Sharma, S. D., Saxena, R., Sharma, S. N., & Singh, A. K. (2015). Short tandem repeats detection in DNA sequences using modified S-transform. International Journal of Advances in Engineering and Technology, 8(2). (Cited by: 16).

Taveena | Computer Science | Best Researcher Award

Posted-on by Indian Scientist Awards

Ms. Taveena | Computer Science | Best Researcher Award

Indian Institute of Technology Roorkee, India

Author Profile

SCOPUS

ORCID

🎓 EARLY ACADEMIC PURSUITS

Ms. Taveena began her academic journey in Computer Science and Engineering at Punjabi University, Patiala, where she completed her undergraduate studies. She pursued her M.Tech. in CSE from IIT (ISM) Dhanbad, where she first ventured into deep learning for audio classification using recurrent neural networks. She is currently pursuing her Ph.D. at IIT Roorkee, focusing on decoding mental imagery through physiological signals under the guidance of Prof. Partha Pratim Roy.

🏢 PROFESSIONAL ENDEAVORS

Ms. Taveena has over 6 years of rigorous research experience, combining deep learning, physiological signal processing, and multimodal data analysis. She is adept at designing efficient neural architectures, contributing to diverse research areas such as neural architecture search (NAS), EEG-fMRI fusion, audio–EEG classification, and cross-modal generation tasks. She has been a key contributor to cutting-edge projects involving parameter-efficient tuning and low-rank adaptation techniques.

📚 CONTRIBUTIONS AND RESEARCH FOCUS IN COMPUTER SCIENCE

Her primary focus lies in developing deep learning frameworks for complex time-series and multimodal signals, particularly in:

  • EEG-based motor imagery and speech imagery classification

  • Silent speech decoding and mental imagery task adaptation

  • Cross-session classification using self-supervised contrastive learning

  • Multi-modal EEG–fMRI and image–EEG fusion

  • Lightweight neural tuning with adapters

Her contributions extend into broader domains of natural language processing (NLP) and computer vision, focusing on foundational model architectures and cross-modal learning.

🏅 ACADEMIC CITATIONS, ACCOLADES AND RECOGNITION

  • 📌 Journal Articles:

    • Biomedical Signal Processing and Control (IF: 4.9)

    • IEEE Transactions on Industrial Informatics (Under review, IF: 9.9)

    • International Journal of Activity and Behavior Computing

  • 📌 Conference Presentations:

    • ICPR 2022 (Canada) and ICPR 2025 (India)

    • ABC Conference 2025 (Winner of SSDC challenge and Best Paper Award)

  • 📌 Preprints & Community Contribution:

    • Active on arXiv with high-engagement preprints

🌍 IMPACT AND INFLUENCE

Ms. Taveena’s work addresses real-world challenges in neurotechnology, enhancing human–computer interaction, silent communication, and cognitive state monitoring. Her research on EEG signal decoding is paving the way for assistive technologies, particularly benefiting neurologically impaired individuals. She has influenced the academic and open research community through arXiv preprints and open-access contributions.

🧭 LEGACY AND FUTURE CONTRIBUTIONS

Ms. Taveena is poised to leave a lasting impact through:

  • Novel deep learning tools for brain signal decoding

  • Foundational model adaptation for low-resource and multimodal scenarios

  • Open scientific collaboration via preprints and peer reviewing

  • Future goals include bridging neuroscience and AI, making cognitive computing more accessible and inclusive

She aims to further contribute to large-scale cross-modal learning, AI for healthcare, and foundational model efficiency for real-time applications.

 ✅CONCLUSION

Ms. Taveena represents the next-generation AI researcher, combining deep theoretical knowledge with practical application in neuroscience, speech, and multimodal learning. With an excellent academic pedigree and significant contributions to EEG decoding and multimodal AI, she is a promising leader in Computer Science and Brain–AI interfaces.

🔬NOTABLE PUBLICATION:

Native Arabic EEG-based Silent Speech Decoding Using Deep Learning Techniques
Authors: Taveena Lotey, Salini Yadav, Partha Pratim Roy
Journal: International Journal of Activity and Behavior Computing
Year: 2025

EEG-Based Mental Imagery Task Adaptation via Ensemble of Weight-Decomposed Low-Rank Adapters
Authors: Taveena Lotey, Aman Verma, Partha Pratim Roy
Journal: Lecture Notes in Computer Science
Year: 2024

Cross-Session Motor Imagery EEG Classification using Self-Supervised Contrastive Learning
Authors: Taveena Lotey, Prateek Keserwani, Gaurav Wasnik, Partha Pratim Roy
Journal: 2022 26th International Conference on Pattern Recognition (ICPR)
Year: 2022