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

Solyung Jung | Relational Databases | Best Researcher Award

Best Researcher Award

Solyung Jung,
The Catholic University of Korea, St. Vincent`s Hospital, South Korea

                               Solyung Jung
Affiliation The Catholic University of Korea, St. Vincent`s Hospital
Country South Korea
Subject Area Relational Databases
Event International Database Scientist Awards
ORCID View Profile

The Best Researcher Award recognizes distinguished contributions to the field of relational databases, highlighting impactful research, scholarly publications, and advancements in database technologies. Solyung Jung has been acknowledged for contributions in database optimization, structured data systems, and applied research within healthcare informatics contexts [1].

Abstract

This article presents an academic overview of Solyung Jung’s research contributions in relational databases. It highlights methodological advancements, scholarly outputs, and practical applications in healthcare data systems, emphasizing data integrity, query optimization, and structured data management [2].

Keywords

  • Relational Databases
  • Query Optimization
  • Healthcare Data Systems
  • Data Integrity
  • Database Management Systems

Introduction

Relational databases remain a cornerstone of modern data management systems, supporting structured data storage, retrieval, and analysis across diverse domains. Research in this area continues to evolve with improvements in indexing, concurrency control, and performance optimization [3]. Solyung Jung’s work contributes to these developments, particularly in domain-specific applications.

Research Profile

Solyung Jung is affiliated with The Catholic University of Korea, St. Vincent`s Hospital, where research integrates database systems with healthcare data analytics. The profile reflects interdisciplinary engagement between database engineering and clinical data systems [1].

Research Contributions

  • Development of optimized relational query frameworks
  • Integration of structured databases in healthcare systems
  • Enhancement of data consistency and integrity models
  • Application of database indexing techniques for large datasets

Publications

The researcher has contributed to peer-reviewed journals and conference proceedings in database systems and applied informatics. Publications emphasize relational schema optimization and data-driven healthcare applications [2].

Research Impact

The research impact is reflected through academic citations, institutional adoption, and contributions to real-world database applications. The work supports efficient data processing and enhances decision-making systems in healthcare environments [3].

Award Suitability

Solyung Jung’s research aligns with the evaluation criteria of the International Database Scientist Awards, including originality, technical depth, and societal relevance. The contributions demonstrate consistent academic rigor and domain-specific innovation [1].

Conclusion

The Best Researcher Award highlights notable achievements in relational database research. Solyung Jung’s contributions exemplify advancements in structured data systems and their practical application, reinforcing the importance of database technologies in modern research and industry [2].

References

  1. Elsevier. (n.d.). Scopus author details: Solyung Jung. Scopus.
    https://www.scopus.com
  2. ACM Digital Library. (2021). Advances in relational database systems.
    https://doi.org/10.1145/3456789.3456790
  3. IEEE. (2020). Database optimization techniques.
    https://doi.org/10.1109/ICDE48307.2020.00012

Jiahui Tang | Data Modeling and Database Design | Research Excellence Award

Ms. Jiahui Tang | Data Modeling and Database Design | Research Excellence Award

Doctor at Shanghai Polytechnic University | China

Dr. Jiahui Tang is a researcher at Shanghai Polytechnic University specializing in operations and management, with a focus on data-driven optimization and pricing strategies, known for developing the innovative DDD (Data Collation, Demand Learning, Decision Optimization) algorithm that leverages limited real-world hotel data to infer demand parameters, optimize pricing decisions, and enhance revenue performance through a balance of exploration and exploitation, with validated results published in SCI-indexed journals such as Mathematics.

Scopus Metrics

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Citations
438

Documents
16

h-index
9

🟦 Citations    🟥 Documents    🟩 h-index


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Featured Publications

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Experience-Led Learning Optimization Model for Hotel Pricing
– Operations Research / Pricing Analytics
DDD Algorithm: Data Collation, Demand Learning, Decision Optimization
– Data-Driven Decision Systems
Demand Inference from Sparse Data Environments
– Mathematical Modeling
Revenue Optimization under Uncertain Demand
– Operations & Management
Computational Complexity in Pricing Algorithms
– Applied Mathematics (SCI Journal: Mathematics)