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

Shengjie Bai | Machine Learning on Databases | Best Researcher Award

Best Researcher Award

Shengjie Bai
Affiliation Xi’an Jiaotong University
Country China
Scopus ID 57202011091
Documents 25
Citations 662
h-index 11
Subject Area Machine Learning on Databases
Event International Database Scientist Awards
Google Scholar Zc0CCDQAAAAJ
ORCID 0000-0002-2023-6841

Shengjie Bai,
Xi’an Jiaotong University, China.

Shengjie Bai
, affiliated with Xi’an Jiaotong University, China, is a recognized researcher in the field of machine learning applied to database systems. His scholarly contributions have been acknowledged through the Best Researcher Award at the International Database Scientist Awards, reflecting his impact on data-driven methodologies and intelligent database optimization techniques [1].

Abstract

Shengjie Bai’s research focuses on integrating machine learning methodologies into database systems to enhance query performance, data retrieval efficiency, and predictive analytics capabilities. His work contributes to the evolving intersection of artificial intelligence and structured data management [2].

Keywords

Machine Learning, Database Systems, Query Optimization, Data Mining, Predictive Modeling, Intelligent Databases

Introduction

The integration of machine learning techniques into database systems has emerged as a transformative area of research. Shengjie Bai has contributed to this domain by exploring adaptive data models and intelligent indexing strategies that improve computational efficiency and scalability in large-scale databases [3].

Research Profile

With 25 indexed documents and 662 citations, Shengjie Bai has established a measurable academic footprint. His h-index of 11 reflects consistent scholarly influence. His affiliation with Xi’an Jiaotong University provides a strong academic environment supporting interdisciplinary innovation [1].

Research Contributions

Bai’s contributions include advancements in query optimization algorithms using machine learning, automated database tuning systems, and predictive data analytics models. His work demonstrates practical implications for improving database efficiency in real-world applications [2].

Publications

His publications span peer-reviewed journals and conference proceedings, focusing on data-driven database enhancements, machine learning integration, and scalable data architectures. These works contribute to ongoing developments in intelligent data systems [3].

Research Impact

The citation record and academic engagement of Shengjie Bai indicate a growing influence in the domain of machine learning on databases. His research supports improved decision-making processes and enhances computational intelligence in database environments [2].

Award Suitability

The Best Researcher Award recognizes individuals demonstrating impactful contributions and measurable research outcomes. Shengjie Bai’s publication record, citation metrics, and domain-specific innovations align with the selection criteria of the International Database Scientist Awards [4].

Conclusion

Shengjie Bai’s academic work highlights the importance of integrating machine learning with database systems to address modern data challenges. His recognition through the Best Researcher Award reflects both scholarly achievement and practical relevance in advancing intelligent database technologies [4].

References

  1. Elsevier. (n.d.). Scopus author details: Shengjie Bai, Author ID 57202011091. Scopus.
    https://www.scopus.com/pages/authors/57202011091
  2. Han, J., Pei, J., & Kamber, M. (2011). Data Mining: Concepts and Techniques. Elsevier.
    https://doi.org/10.1016/B978-0-12-381479-1.00001-0
  3. Stonebraker, M. (2018). The case for learned database systems. Communications of the ACM.
    https://doi.org/10.1145/3183713
  4. International Database Scientist Awards. (n.d.). Award evaluation criteria and recognition standards.
    https://databasescientist.org/