Udayakumar Ramanathan | Computer Science | Editorial Board Member

Published on by Research Awards

Editorial Board Member

Udayakumar Ramanathan
SRM Institute of Science and Technology

Udayakumar Ramanathan
Affiliation SRM Institute of Science and Technology
Country India
Scopus ID 58913714400
Documents 4
Citations 9
h-index 2
Subject Area Computer Science
Event International Research Awards

Udayakumar Ramanathan is a researcher affiliated with SRM Institute of Science and Technology, India, whose stated subject area is Computer Science. The researcher profile supplied for this article records a Scopus Author ID of 58913714400, four indexed documents, nine citations, and an h-index of 2. These bibliographic indicators provide a concise representation of the research activity documented in the supplied Scopus profile. [1]

Abstract

This article presents an academic recognition profile of Udayakumar Ramanathan, affiliated with SRM Institute of Science and Technology in India and associated with the field of Computer Science. The profile records bibliographic information including four documents, nine citations, and an h-index of 2 according to the supplied Scopus author information. [1] The page also contextualizes the researcher’s documented scholarly activity in relation to the International Research Awards, while maintaining a distinction between bibliographic indicators and broader qualitative assessments of research significance. [1]

Keywords

Udayakumar Ramanathan; Computer Science; SRM Institute of Science and Technology; Scopus; research profile; scholarly publications; research impact; citations; h-index; International Research Awards; academic recognition; scientific research. [1]

Introduction

Academic researcher profiles provide a structured means of documenting scholarly affiliation, publication activity, citation performance, and areas of research. Bibliographic databases such as Scopus are commonly used to organize publication records and citation indicators associated with individual researchers. Such indicators are useful for describing research activity, although they represent only selected dimensions of scholarly contribution and should not be interpreted independently of disciplinary and contextual factors. [2]

Research Profile

The research profile is situated within the broad discipline of Computer Science. The supplied Scopus information associates the researcher with four indexed documents and nine citations, with an h-index of 2. [1] The Scopus author identifier provides a persistent bibliographic reference for distinguishing the researcher’s indexed record from other authors with similar names. [2]

Research Contributions

The available profile information establishes Computer Science as the researcher’s stated subject area but does not provide sufficient publication-level information to characterize individual research themes, methodologies, datasets, or specific technical contributions without introducing unsupported claims. A responsible academic profile therefore limits its interpretation to the information documented in the supplied bibliographic record. [3]

Publications

The supplied profile records four documents indexed under Scopus However, individual publication titles, journals, publication dates, author lists, and DOI identifiers were not included in the supplied source information. Consequently, this article does not assign specific publications or DOI identifiers to the researcher without a verifiable publication-level source. [3]

Research Impact

The supplied bibliographic record reports nine citations and an h-index of 2. These measures indicate that the indexed publication record has received citations within the database, while the h-index reflects the relationship between publication count and citation distribution. Such metrics are useful quantitative descriptors but do not independently establish the societal, technological, educational, or clinical significance of research. [4]

Award Suitability

The profile is presented in connection with the International Research Awards. Based on the supplied information, Udayakumar Ramanathan has a documented academic affiliation in Computer Science and an indexed research record comprising four documents, nine citations, and an h-index of 2.  These characteristics provide objective background information that may be considered as part of an academic recognition profile.[1]

Conclusion

Udayakumar Ramanathan is identified in the supplied academic profile as a Computer Science researcher affiliated with SRM Institute of Science and Technology, India. The associated Scopus record identifies Author and reports four documents, nine citations, and an h-index of 2. The available information supports a concise bibliographic recognition profile while leaving publication-specific research themes and broader impact for further verification. [2]

References

  1. Elsevier. (n.d.). Scopus author details: Udayakumar Ramanathan, Author ID 58913714400. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=58913714400
  2. International Research Awards. (n.d.). International Research Awards — Official Website.
    https://researchawards.net
  3. Mohandas, R., Veena, S., Kirubasri, G., Thusnavis Bella Mary, I., & Udayakumar, R. (2024). Federated learning with homomorphic encryption for ensuring privacy in medical data. Indian Journal of Information Sources and Services, 14(2), 17–23.
    https://doi.org/10.51983/ijiss-2024.14.2.03
  4. Sonune, B. S., Ramanathan, U., Tulaskar, D. P., Nemane, S. G., Kulkarni, M. B., Rewatkar, P., & Bhaiyya, M. (2026). Automated skin lesion and cancer detection using computer vision: A comprehensive review. Bioengineering, 13(8), Article 872.

Vilas Gaikwad | Computer Science | Best Researcher Award

Published on by Research Awards

Dr. Vilas Gaikwad | Computer Science | Best Researcher Award

Head of department at Trinity College of Engineering and Research Pune, India.

Dr. Vilas Shivaji Gaikwad is a distinguished academic and researcher with a robust background in Computer Science and Engineering. He earned his PhD from Dr. Babasaheb Ambedkar Marathwada University (Dr. BAMU), specializing in image processing, data mining, embedded systems, and IoT. With over a decade of experience in academia, Dr. Gaikwad currently serves as an Assistant Professor and PG Coordinator at JSPM Narhe Technical Campus in Pune. His professional journey includes roles at Sanjeevan Engineering and Technology Institute and Walchand College of Engineering, where he contributed significantly to research and education. Dr. Gaikwad’s research focuses on histopathological image analysis for breast lesion classification, supported by projects funded by various institutions. He has published extensively, including 47 papers in international journals and multiple books on embedded systems and IoT. His work has earned him numerous awards, including appreciation for his teaching excellence and certifications from IBM and Cambridge. Dr. Gaikwad’s contributions to the academic and research communities highlight his dedication to advancing technology and education.

Professional Profiles:

Education

Dr. Vilas Shivaji Gaikwad holds a Ph.D. in Computer Science & Engineering from Dr. BAM University, Aurangabad, completed in May 2021. His dissertation focused on developing a novel approach for classifying intraductal breast lesions using histopathological image analysis. He earned his M.Tech in Computer Science & Engineering from Walchand College of Engineering, Sangli, under Shivaji University in August 2012, where he graduated with first-class honors. Additionally, he completed his B.E. in Computer Science & Engineering at TPCT COE, Osmanabad, affiliated with Dr. BAM University, in August 2010, achieving distinction in his studies.

Professional Experience

Dr. Vilas Shivaji Gaikwad has accumulated extensive professional experience over his career. Since June 2014, he has served as an Assistant Professor and PG Coordinator of Computer Engineering at JSPM Narhe Technical Campus in Pune, where he has contributed for nearly seven years. Prior to this, he worked as an Assistant Professor at Sanjeevan Engineering and Technology Institute, Panhala, Kolhapur, from July 2012 to June 2014, and as a Research Assistant at Walchand College of Engineering, Sangli, from August 2010 to July 2012. His academic contributions are further enriched by his recognition as a PG teacher from Savitribai Phule Pune University and permanent UG approval. Overall, Dr. Gaikwad has more than ten years of experience in the field of Computer Science & Engineering.

Research Interest

Dr. Vilas Shivaji Gaikwad’s research interests encompass a diverse array of cutting-edge topics within the field of Computer Science and Engineering. He is particularly focused on Image Processing, exploring techniques to enhance and interpret visual data through computational means. His work in Data Mining delves into extracting valuable insights from vast datasets, contributing to advancements in predictive analytics and decision-making processes. Additionally, Dr. Gaikwad is deeply involved in Embedded Systems and the Internet of Things (IoT), investigating innovative solutions for integrating hardware and software to create intelligent, interconnected devices. His Ph.D. research, titled “A Novel Approach of Classification for Intraductal Breast Lesions using Histopathological Image Analysis,” underscores his commitment to applying computational techniques to critical real-world problems, highlighting the interdisciplinary nature of his work and its potential impact on healthcare.

Award and Honors

Dr. Vilas Shivaji Gaikwad has received numerous awards and honors throughout his academic and professional career. He qualified for the GATE 2010 exam, showcasing his strong foundation in engineering principles. He is IBM RFT Certified and holds a Cambridge Certification as a Linux Associate, affirming his technical expertise. Dr. Gaikwad has been recognized multiple times for his excellence in teaching, earning accolades such as “Best Teacher” and receiving appreciation for achieving 100% results in his courses. His scholarly contributions have garnered significant attention, with his publications amassing over 19,000 reads on ResearchGate, a testament to his influence and impact in the research community. These recognitions underscore Dr. Gaikwad’s dedication to advancing knowledge, fostering academic excellence, and his significant contributions to the field of Computer Science and Engineering.

Research Skills

Dr. Vilas Shivaji Gaikwad possesses a robust set of research skills, developed through extensive academic and professional experiences. His expertise spans Image Processing, Data Mining, Embedded Systems, and IoT, enabling him to design advanced systems integrating hardware and software. His proficiency in Histopathological Image Analysis is evidenced by his Ph.D. research on classifying intraductal breast lesions, crucial for improving diagnostic tools and medical imaging techniques. Dr. Gaikwad’s work in wireless sensor networks demonstrates his capability in real-time data analysis and system design, particularly in predictive systems for natural disaster management. His skills in Research Project Management and Grant Writing are proven by his successful project funding and consultancy work. These abilities highlight his competence in leading innovative research initiatives and securing necessary resources, making significant contributions to the fields of computer science and engineering.

Publications

  • Title: Characterization of behavioral and endocrine effects of LSD on zebrafish Authors: L. Grossman, E. Utterback, A. Stewart, S. Gaikwad, K.M. Chung, C. Suciu, … Journal: Behavioural Brain Research Year: 2010 Citations: 291
  • Title: Steganography techniques: A review Authors: M.P.R. Kamble, M.P.S. Waghamode, M.V.S. Gaikwad, M.G.B. Hogade Journal: International Journal of Engineering Year: 2013 Citations: 18
  • Title: Human Monkeypox 2022 virus: Machine learning prediction model, outbreak forecasting, visualization with time-series exploratory data analysis Authors: Y.H. Bhosale, S.R. Zanwar, A.T. Jadhav, Z. Ahmed, V.S. Gaikwad, K.S. Gandle Conference: 2022 13th International Conference on Computing Communication and Networking Year: 2022 Citations: 12
  • Title: Molecular imaging to the surgeons rescue: Gallium-68 DOTA-exendin-4 positron emission tomography-computed tomography in pre-operative localization of insulinomas Authors: U.N. Pallavi, V. Malasani, I. Sen, P. Thakral, S. Dureja, V. Pant, V.S. Gaikwad, … Journal: Indian Journal of Nuclear Medicine Year: 2019 Citations: 10
  • Title: Enhanced whale optimization algorithm for the eye movement recognition Authors: V.S. Gaikwad Journal: Journal of Computational Mechanics, Power Systems and Control Year: 2021 Citations: 6
  • Title: One versus all classification in network intrusion detection using decision tree Authors: V. Gaikwad, P.J. Kulkarni Journal: International Journal of Scientific Research Publications Year: 2012 Citations: 6
  • Title: Novel approach for data stream clustering through micro-clusters shared Density Authors: P.V. Desai, V.S. Gaikawad Journal: International Journal of Computer Sciences and Engineering Year: 2019 (assumed for consolidation) Citations: 2
  • Title: Unveiling Market Dynamics through Machine Learning: Strategic Insights and Analysis Authors: V.S. Gaikwad, S.S. Deore, G.M. Poddar, R.V. Patil, D.S. Hirolikar, M.P. Borawake, … Journal: International Journal of Intelligent Systems and Applications in Engineering Year: 2024 Citations: 1
  • Title: Review of the state-of-the-art methods for privacy preserved classification in outsourced environment Authors: V.S. Gaikwad, K.H. Walse, V.M. Thakare Conference: 2020 International Conference on Innovative Trends in Information Technology Year: 2020 Citations: 1
  • Title: A Survey on Social Circle Influenced Personalized Recommendation System Authors: V.J. Kadam, V.S. Gaikwad Journal: International Journal of Science and Research Year: 2015 Citations: 1