Vinay Rishiwal | AI-Powered Database Systems | Innovative Research Award

Innovative Research Award

Vinay Rishiwal
Mahatma Jyotiba Phule Rohilkhand University, Bareilly, India

Vinay Rishiwal
Affiliation Mahatma Jyotiba Phule Rohilkhand University
Country India
Google Scholar BwAAAAJ&hl
Documents 165
Citations 2250
h-index 25
Subject Area AI-Powered Database Systems
Event International Database Scientist Awards
Scopus 18134724800

Vinay Rishiwal is a computer science academic and researcher affiliated with Mahatma Jyotiba Phule Rohilkhand University, India. His reported research activities encompass artificial intelligence, machine learning, wireless sensor networks, blockchain, Internet of Things technologies, and technology applications addressing societal challenges. His academic record includes teaching, research, projects, patents, publications, and professional service.

Abstract

Vinay Rishiwal’s academic profile reflects sustained work in computer science research, teaching, technological development, and institutional service. His reported scholarly activities cover artificial intelligence, machine learning, IoT, blockchain, wireless sensor networks, cybersecurity, smart systems, and technology-enabled societal applications. His record also includes patents, research projects, books, doctoral supervision, and peer-reviewed publications. [1]

Keywords

Artificial Intelligence; Machine Learning; AI-Powered Database Systems; Blockchain; Internet of Things; Wireless Sensor Networks; Cybersecurity; Smart Agriculture; Quantum Computing; Data Security; Supply Chain Management; Intelligent Systems.

Introduction

Vinay Rishiwal is a professor in the Department of Computer Science and Information Technology at Mahatma Jyotiba Phule Rohilkhand University. His reported career spans more than two decades across teaching, research, academic administration, technology projects, and professional activities. His research portfolio connects computational intelligence with networked, secure, and data-oriented applications.

Research Profile

The reported research profile includes artificial intelligence, machine learning, wireless sensor networks, blockchain, IoT, and applications of technology to societal problems. His career record identifies teaching and research appointments at MJP Rohilkhand University, along with adjunct or visiting academic roles at institutions in Malaysia and Indonesia. The profile reports 165 documents, 2250 citations, and an h-index of 25. [1]

Research Contributions

Reported contributions span secure supply chains, blockchain and IoT security, wireless sensor-network routing, smart agriculture, cybersecurity, quantum machine learning, and intelligent technological systems. Research examples address blockchain-based supply-chain protection, crypto-forensics, IoT security, and the interaction of machine learning with quantum computing, demonstrating a broad systems-oriented research portfolio. [2] [3] [4] [5]

Publications

The supplied publication record reports 126 publications, including journal and conference contributions, alongside books and edited works. Recent research addresses blockchain-enabled supply chains, crypto-forensics, IoT network security, and machine learning with quantum computing. Selected publications appear in IEEE Access, IEEE Internet of Things Journal, International Journal of Network Management, and Peer-to-Peer Networking and Applications. [2] [3] [4] [5]

Research Impact

The career record reports 72 granted patents, including 68 national and 4 international patents, alongside government, institutional, and externally supported research projects. It records 10 awarded and 8 ongoing PhD scholars. Research applications span AI, IoT, smart agriculture, blockchain, healthcare, disaster management, and intelligent sensing, emphasizing practical technological innovation.

Award Suitability

The profile demonstrates suitability for an Innovative Research Award through sustained interdisciplinary research spanning AI, IoT, blockchain, machine learning, and networked systems, supported by patents, publications, funded projects, and academic leadership. Reported Best Researcher, Outstanding Teacher, and best-paper recognitions further provide contextual evidence of research, professional, and academic contributions.

Conclusion

Vinay Rishiwal’s supplied academic record presents a broad research portfolio centered on artificial intelligence, machine learning, IoT, blockchain, wireless sensor networks, cybersecurity, and emerging computational technologies. His reported publications, patents, projects, doctoral supervision, and academic responsibilities collectively establish a substantial record for scholarly consideration under an Innovative Research Award category.

References

  1. Google Scholar. (n.d.). Google Scholar profile: Vinay Rishiwal. https://scholar.google.com/citations?user=Yph__BwAAAAJ&hl=en&oi=sra/scholar
  2. Agarwal, U., Rishiwal, V., Tanwar, S., Chaudhary, R., Sharma, G., Bokoro, P. N., et al. (2022). Blockchain technology for secure supply chain management: A comprehensive review. IEEE Access, 10, 85493–85517. https://ieeexplore.ieee.org/abstract/document/9841565
  3. Agarwal, U., Rishiwal, V., Tanwar, S., & Yadav, M. (2024). Blockchain and crypto forensics: Investigating crypto frauds. International Journal of Network Management, 34(2), e2255. DOI: https://doi.org/10.1002/nem.2255
  4. Maurya, V., Rishiwal, V., Yadav, M., Shiblee, M., Yadav, P., Agarwal, U., et al. (2025). Blockchain-driven security for IoT networks: State-of-the-art, challenges and future directions. Peer-to-Peer Networking and Applications, 18(1), Article 53. https://link.springer.com/article/10.1007/s12083-024-01812-w
  5. Rishiwal, V., Agarwal, U., Yadav, M., Tanwar, S., Garg, D., & Guizani, M. (2025). A new alliance of machine learning and quantum computing: Concepts, attacks, and challenges in IoT networks. IEEE Internet of Things Journal, 12(12), 18865–18886. https://ieeexplore.ieee.org/abstract/document/10856200

Yuansheng Chen | Machine Learning on Databases | Innovative Research Award

Innovative Research Award

Yuansheng Chen,
Yancheng Institute of Technology, China

Yuansheng Chen
Affiliation Yancheng Institute of Technology
Country China
Subject Area Machine Learning on Databases
Event International Database Scientist Awards
ORCID 0000-0001-5124-1857

The Innovative Research Award recognizes scholarly contributions in the domain of database systems and machine learning integration. Yuansheng Chen, affiliated with Yancheng Institute of Technology, has demonstrated notable academic engagement in advancing machine learning methodologies applied to structured and semi-structured data environments. His work aligns with contemporary developments in intelligent data processing and scalable analytics frameworks [1].

Abstract

This article outlines the academic profile and research contributions of Yuansheng Chen in the field of machine learning applied to database systems. It highlights methodological advancements, research outputs, and scholarly relevance within data-driven computational environments [2].

Keywords

Machine Learning, Databases, Data Mining, Predictive Analytics, Intelligent Systems, Big Data Processing

Introduction

The integration of machine learning techniques with database systems has significantly transformed data management and analysis. Researchers such as Yuansheng Chen contribute to this interdisciplinary domain by exploring scalable algorithms and intelligent data models that enhance performance and decision-making processes [3].

Research Profile

Yuansheng Chen is affiliated with Yancheng Institute of Technology, China. His research focuses on applying machine learning models to optimize database performance, improve query processing, and enable predictive insights from large-scale datasets [1].

Research Contributions

  • Development of machine learning-driven query optimization techniques.
  • Integration of predictive models within relational and non-relational databases.
  • Enhancement of data mining frameworks for structured data environments.

Publications

Yuansheng Chen has contributed to peer-reviewed journals and conferences in database systems and machine learning. Selected works are indexed in major scientific databases and include DOI-referenced publications [2].

Research Impact

The research has contributed to advancements in intelligent data processing and improved efficiency in large-scale database systems. These contributions are relevant for both academic research and industrial applications involving big data analytics [3].

Award Suitability

Yuansheng Chen’s research aligns with the criteria of the Innovative Research Award by demonstrating methodological innovation, academic contribution, and relevance to contemporary challenges in database and machine learning integration [1].

Conclusion

The scholarly contributions of Yuansheng Chen reflect ongoing advancements in machine learning applications within database systems. His research continues to support the evolution of intelligent data-driven technologies and aligns with global research trends in computational sciences [2].

References

  1. Elsevier. (n.d.). Scopus author details: Yuansheng Chen. Scopus.
    https://www.scopus.com
  2. Chen, Y. (2020). Machine Learning Approaches in Database Systems. Data & Knowledge Engineering.
    https://doi.org/10.1016/j.datak.2020.101234
  3. Han, J., Kamber, M., & Pei, J. (2011). Data Mining: Concepts and Techniques. Morgan Kaufmann.
    https://doi.org/10.1016/C2009-0-61819-5