Ravikumar Ch | Engineering | Innovative Research Award

Published-on by Indian Scientist Awards

Innovative Research Award

Ravikumar Ch

Sreenidhi University

Ravikumar Ch
Affiliation Sreenidhi University
Country India
Scopus ID 58918764900
Documents 37
Citations 157
h-index 8
Subject Area Engineering
Event Indian Scientist Awards
ORCID 0000-0003-0809-5545

Ravikumar Ch of Sreenidhi University has established a documented academic profile through peer-reviewed publications, citation impact, and sustained research activity within engineering disciplines. The recognition highlights measurable research productivity, scientific dissemination, and contributions to the advancement of engineering knowledge.[1]

Abstract

This article presents an academic overview of Ravikumar Ch and his scholarly contributions within the field of engineering. The profile reflects publication activity, citation performance, and research dissemination documented through recognized indexing platforms. The Innovative Research Award acknowledges researchers whose work demonstrates measurable scientific engagement, technical relevance, and continuing contributions to engineering research and innovation.[1]

Keywords

Engineering Research, Innovation, Scholarly Publications, Citation Analysis, Research Impact, Academic Recognition, Scopus Author Profile, Scientific Contributions, Technology Development, Innovative Research Award.

Introduction

Engineering research plays a critical role in addressing scientific, technological, and industrial challenges through systematic investigation and innovation. Recognition programs such as the Innovative Research Award provide an opportunity to acknowledge researchers who contribute to knowledge creation and technological advancement. Ravikumar Ch has participated in scholarly activities reflected through indexed publications and citations that indicate engagement with the broader research community.[1]

Research Profile

Ravikumar Ch is affiliated with Sreenidhi University, India, and has developed a research portfolio primarily associated with engineering disciplines. According to available scholarly indexing information, the researcher has authored 37 indexed documents, received 157 citations, and attained an h-index of 8. These metrics provide quantitative indicators of academic productivity and research visibility within the scientific literature.[1]

  • Affiliation: Sreenidhi University
  • Research Domain: Engineering
  • Indexed Publications: 37
  • Citation Count: 157
  • h-index: 8

Research Contributions

The researcher’s scholarly output reflects participation in engineering-focused investigations addressing contemporary scientific and technological questions. Through peer-reviewed publications, conference proceedings, and collaborative academic efforts, the research profile contributes to knowledge dissemination and supports continued advancement within engineering-related domains. Published studies provide evidence of engagement with current research challenges and evolving technological methodologies.[2]

  • Contribution to engineering research literature.
  • Participation in peer-reviewed scholarly communication.
  • Support for interdisciplinary technological advancement.
  • Research dissemination through indexed publications.

Publications

The publication record demonstrates sustained academic activity and scholarly engagement. Indexed research outputs contribute to the visibility of engineering research and facilitate citation-based evaluation. Publication quality, dissemination, and accessibility are important indicators used in assessing academic achievement and research excellence.[1]

  1. Peer-reviewed journal articles in engineering-related fields.
  2. Conference proceedings and technical publications.
  3. Collaborative research studies with academic relevance.
  4. Research outputs indexed through international scholarly databases.

Representative DOI references illustrating scholarly publication standards include engineering and scientific articles archived through digital object identifier systems.[3]

Research Impact

Research impact is commonly evaluated through publication output, citation metrics, and scholarly influence. The available citation count and h-index indicate that the researcher’s publications have received attention within the academic community. Such metrics, while not comprehensive measures of scientific value, provide useful indicators of visibility, engagement, and influence within the research ecosystem.[1]

  • 157 documented citations.
  • h-index of 8 indicating recurring scholarly influence.
  • Research dissemination through indexed publications.
  • Academic engagement across engineering communities.

Award Suitability

The Innovative Research Award recognizes measurable research achievement, academic productivity, and contribution to scientific progress. Based on available scholarly indicators, Ravikumar Ch demonstrates characteristics commonly associated with award eligibility, including peer-reviewed publications, documented citation impact, and active participation in engineering research. Such attributes align with the objectives of academic recognition programs designed to acknowledge sustained scholarly excellence and innovation.[1][4]

Conclusion

Ravikumar Ch’s academic profile reflects an established record of engineering research activity supported by indexed publications, citations, and scholarly engagement. The Innovative Research Award serves as recognition of contributions that advance scientific understanding and encourage continued innovation. The documented research metrics and publication record provide a foundation for evaluating the researcher’s impact within the engineering community.[1]

References

  1. Scopus author details: Ravikumar Ch, Author ID 58918764900. Scopus. https://www.scopus.com/authid/detail.uri?authorId=58918764900
  2. Federated Learning and Quantum-Resilient Cryptographic Frameworks for Secure and Trustworthy AIoT Ecosystems. https://www.igi-global.com/gateway/chapter/408989
  3. Securing AIoT Ecosystems With Blockchain Trust Modeling and Privacy Preserving Frameworks: Securing AIoT Ecosystems. https://www.igi-global.com/gateway/chapter/411113
  4. A Comprehensive Analysis for Advancements and Challenges in Deep Learning Models for Image Processing. https://link.springer.com/chapter/10.1007/978-981-97-8031-0_24

Pankaj Kumar Dubey | Electrical engineering | Young Researcher Award

Published-on by Indian Scientist Awards

Mr. Pankaj Kumar Dubey | Electrical engineering | Young Researcher Award

Kamla Nehru Institute of Technology Sultanpur | India

Pankaj Kumar Dubey is an active researcher whose work spans healthcare analytics, digital technologies, and emerging computational approaches. His research focuses on applying artificial intelligence and deep learning models to clinical decision-making, medical image analysis, and personalized treatment strategies. He has contributed to studies involving predictive modelling, pattern detection, and optimization frameworks that support improved diagnostic accuracy in healthcare systems. His work also explores the integration of digital tools, including blockchain and IoT-based solutions, to enhance transparency, data security, and efficiency in medical and industrial environments. His publications reflect multidisciplinary engagement, combining data science, biomedical engineering, and informatics to address contemporary challenges in healthcare and technology-driven ecosystems. He has participated in conferences and workshops presenting findings related to algorithmic optimization, intelligent systems, and AI applications in real-world scenarios. His research output includes peer-reviewed journal articles, conference presentations, and book chapters focusing on advanced computational methods. He has also collaborated on projects that utilize machine learning classifiers, neural networks, and hybrid models for problem-solving across domains such as supply chain management, disease prediction, and smart monitoring systems. His overall research demonstrates a strong commitment to innovation and the practical deployment of technology-enabled solutions that contribute to societal and scientific advancement.

Profile: Google Scholar | Orcid

Featured Publications

Singh, B., & Dubey, P. K. (2022). Distributed power generation planning for distribution networks using electric vehicles: Systematic attention to challenges and opportunities. Journal of Energy Storage, 48, 104030.

Yadav, S., Sudman, M. S. I., Dubey, P. K., Srinivas, R. V., Srisainath, R., & Devi, V. C. (2023). Development of a GA–RBF based model for penetration of electric vehicles and its projections. In 2023 International Conference on Self Sustainable Artificial Intelligence (ICSSAI).

Singh, B., Dubey, P. K., & Singh, S. N. (2022). Recent optimization techniques for coordinated control of electric vehicles in super smart power grids network: A state of the art. In 2022 IEEE 9th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON).

Dubey, P. K., Singh, B., Kumar, V., & Singh, D. (2024). A novel approach for comparative analysis of distributed generations and electric vehicles in distribution systems. Electrical Engineering, 106(3), 2371–2390.

Negi, P., Dubey, P. K., Kumar, S., Palodkar, A. V., & Kumar, A. (2023). Experimental investigation of waste polyolefin composition on thermal conversion into petroleum-derived products. Fuel, 348, 128466.

Ms. Ritu Ranjan | Engineering | Best Research Award

Published-on by Indian Scientist Awards

Ms. Ritu Ranjan | Engineering | Best Research Award

IIT ISM DHANBAD | India

Ms Ritu Ranjan is a dedicated electrical engineering researcher whose academic journey spans advanced degrees from premier Indian institutions, culminating in a PhD in control systems and sensor interfacing at IIT(ISM) Dhanbad. Her work centers on control techniques for bipedal robotic systems, specifically modeling and robust controller design, and extends into efficient analog and direct-digital interfacing schemes for magneto-resistance-based angle sensors. With several journal articles including contributions to Integration: the VLSI Journal, Measurement and Optical and Quantum Electronics, and multiple IEEE-indexed conference publications, she has developed expertise in sensor linearization, systematic error quantification, and optical biosensor modeling. Her research interest spans control theory, sensor hardware design, direct-digital interfacing, and FDTD-based photonic modeling. Though early in her career, she has begun accumulating citations and publications; her current h-index is modest, reflecting her growing scholarly impact. Awards and recognitions include funding and acceptance of her thesis work and top conference presentations. She brings strong experience in MATLAB, LTSpice, LaTeX, LabVIEW, embedded C, and hardware prototyping using Arduino/ESP32. Motivated by innovation in robotics and sensor systems, she seeks to contribute reliably to impactful research and engineering. Ritu’s trajectory indicates a promising future in sensor-control integration and robotic instrumentation.

Profiles: Scopus | Google Scholar | Orcid

Featured Publication

Shekhar, A., Ranjan, R., & Mandal, S. (2024). Model of double optical ring resonator configuration as a biosensor using FDTD numerical method. Optical and Quantum Electronics, 57(1), 35.

Ranjan, R., & Meena, G. D. (2022). PID and backstepping controller on a 2-link biped robot. In 2022 2nd International Conference on Emerging Frontiers in Electrical and Electronic Technologies (ICEFEET) (pp. xx–xx). IEEE.

Ranjan, R., & Meena, G. D. (2022). Trajectory tracking of 3-link biped leg robot using PD controller and robust variable structure controller. In 2022 IEEE 19th India Council International Conference (INDICON) (pp. 1–6). IEEE.

Ranjan, R., & Mandal, S. (2025). Quantification methodologies of three systematic errors of sinusoidal encoders employing two magnitude-to-time-to-digital converter in static and dynamic conditions. Measurement, 253, 117361. Elsevier.

Ranjan, R., Shekhar, A., & Mandal, S. (2025). Development of a tunneling magneto-resistance sensor based orientation detection system for robotic manipulator. In 2025 6th International Conference on Recent Advances in Information Technology (RAIT) (pp. xx–xx). IEEE.

Prabakaran S | Engineering | Best Researcher Award

Published-on by Indian Scientist Awards

Dr. Prabakaran S | Engineering | Best Researcher Award

IIT Bombay, India

Author Profile

GOOGLE SCHOLAR

🎓 EARLY ACADEMIC PURSUITS

Dr. S. Prabakaran laid a strong foundation in mechanical engineering with a Bachelor’s degree from the University College of Engineering, Thirukkuvalai. He went on to specialize in Thermal Engineering during his postgraduate studies at Anna University Regional Campus, Tirunelveli. His passion for sustainable energy culminated in a Doctorate in Mechanical Engineering from SASTRA University, where his doctoral thesis focused on optimizing the combustion characteristics of biodiesel blends derived from Azolla pinnata using novel heterogeneous catalysts in variable compression ratio (VCR) diesel engines.

🏢 PROFESSIONAL ENDEAVORS

Dr. Prabakaran has established himself as a postdoctoral research fellow at the Indian Institute of Technology Bombay, actively contributing to cutting-edge research in alternative fuels and low-carbon internal combustion engines. His earlier tenure as a research assistant at SASTRA University witnessed hands-on experimentation in biofuel synthesis, dual-fuel combustion techniques, and advanced engine diagnostics. As an assistant professor, he mentored undergraduate research in sustainable fuel technologies, instilling real-world relevance into academic learning.

📚 CONTRIBUTIONS AND RESEARCH FOCUS IN ENGINEERING

Dr. Prabakaran’s research contributions span a wide spectrum of engineering disciplines including:

  • Combustion and Engine Testing: Expertise in RCCI, dual-fuel, VCR engines, in-cylinder pressure analysis, heat release rates, and emission diagnostics.

  • Fuel Synthesis and Catalysis: Innovations in bio-oil and biodiesel production using sustainable feedstocks and novel catalysts.

  • CFD and Simulation: Skilled in Ansys Fluent, Converge CFD, and Star CCM for fluid flow and combustion modelling.

  • Process Optimization: Integration of Artificial Neural Networks (ANN), RSM, and statistical tools for performance prediction and optimization.

  • Advanced Fuels: Implementation of hydrogen and CNG dual-fuel systems, open ECU-based mapping, and nano-additive combustion studies.

🏅 ACCOLADES AND RECOGNITION

  • 13 Peer-reviewed journal publications, with 10 in Q1 journals, and a cumulative impact factor of 81.

  • 173 citations, h-index of 7, and i10-index of 7.

  • Published with top-tier publishers such as Elsevier, Springer, and Taylor & Francis.

  • Presented in premier international conferences like ASPACC 2025 (Singapore) and E2M-2024 (IIT Indore).

  • Authored two book chapters on advanced fuel strategies and lignocellulosic biomass conversion.

🌍 IMPACT AND INFLUENCE

Dr. Prabakaran’s work is driven by the global imperative to transition to cleaner, renewable energy. His innovations in biodiesel synthesis and engine integration contribute directly to reducing carbon emissions and fossil fuel dependence. His published studies serve as guiding references for researchers working on green energy, waste-to-energy pathways, and sustainable combustion systems. He has also influenced policy-shaping research in techno-economic analyses for scalable biofuel applications.

🧭 LEGACY AND FUTURE CONTRIBUTIONS

As a researcher and educator, Dr. Prabakaran envisions a sustainable energy future where biofuels become viable alternatives to petrochemical fuels. His legacy lies in pioneering waste biomass-to-fuel technologies, optimizing dual-fuel engines, and integrating experimental and AI-based modeling for superior performance analysis. He aims to further his contributions through international collaborations and translational research for industrial-scale green energy solutions.

 ✅CONCLUSION

Dr. S. Prabakaran stands as a dynamic fuel synthesis and combustion engineering expert, whose blend of academic rigor and practical innovation is shaping the future of renewable energy. With a multidisciplinary portfolio rooted in chemical engineering, thermal sciences, and AI-integrated optimization, his research resonates across academia, industry, and climate policy. His forward-thinking approach ensures that his work will remain impactful for years to come.

🔬NOTABLE PUBLICATION:

Title: A state-of-the-art review on the environmental benefits and prospects of Azolla in biofuel, bioremediation and biofertilizer applications
Author(s): S. Prabakaran, T. Mohanraj, A. Arumugam
Journal: Industrial Crops & Products
Year: 2022

Title: A review on oilcake biomass waste into biofuels: Current conversion techniques, sustainable applications, and challenges: Waste to energy approach (WtE)
Author(s): S. Sudalai, S. Prabakaran, V. Varalakksmi, I.S. Kireeti, B. Upasana, A. Yuvasri, …
Journal: Energy Conversion and Management
Year: 2024

Title: Biodegradable waste-derived biodiesel as a potential green fuel: Optimization of production process and its application in diesel engine
Author(s): R. Manimaran, T. Mohanraj, S. Prabakaran
Journal: Industrial Crops and Products
Year: 2023

Title: Azolla pinnata methyl ester production and process optimization using a novel heterogeneous catalyst
Author(s): S. Prabakaran, T. Mohanraj, A. Arumugam
Journal: Renewable Energy
Year: 2021

Title: Performance analysis and emission characteristics of VCR diesel engine fuelled with algae biodiesel blends
Author(s): S. Prabakaran, R. Manimaran, T. Mohanraj, M. Ravikumar
Journal: Materials Today: Proceedings
Year: 2021