Renuka Cheeturi | Quantum Computing | Innovative Research Award

Innovative Research Award

Renuka Cheeturi is a researcher affiliated with the National Institute of Technology, Warangal, India, whose research interests include quantum computing and lattice-based security for cloud-assisted Internet of Things (IoT) environments. Her scholarly work includes studies of public auditing, certificateless cryptographic mechanisms, and quantum-resistant security approaches for cloud storage and IoT systems.[1][2][3]

Renuka Cheeturi
Affiliation National Institute of Technology, Warangal
Country India
Scopus ID 58651022600
Documents 6
Citations 6
h-index 2
Subject Area Quantum Computing
Event Technology Scientists Awards
ORCID 0009-0003-4533-2519

Abstract

Renuka Cheeturi is a researcher affiliated with the National Institute of Technology, Warangal, India, whose scholarly interests encompass quantum computing, cloud security, lattice-based cryptography, and public auditing for cloud-assisted Internet of Things environments. Her research includes work on trapdoor-free certificateless public auditing, lattice-based auditing mechanisms, and quantum-resistant security schemes for cloud-assisted IoT. These studies address security, privacy, auditability, and resistance to emerging computational threats in distributed cloud environments. Her publication record includes research examining cryptographic mechanisms designed to strengthen data integrity and verification while considering security requirements associated with future quantum computing capabilities.[1][2][3]

Keywords

Quantum Computing; Quantum-Resistant Cryptography; Lattice-Based Cryptography; Cloud Security; Internet of Things; Public Auditing; Data Integrity; Certificateless Cryptography; Cloud-Assisted IoT; Post-Quantum Security.

Introduction

Cloud-assisted IoT systems require mechanisms that can verify outsourced data without exposing sensitive information or imposing excessive computational requirements. Renuka Cheeturi’s research addresses this area through public auditing schemes based on lattice-related cryptographic constructions and quantum-resistant security principles. Her work considers emerging requirements for integrity verification and secure cloud-assisted IoT architectures.[1][3]

Research Profile

Cheeturi’s research profile is centered on cryptographic security for cloud storage and IoT systems, with particular relevance to lattice-based methods and quantum-resistant public auditing. Her work connects conventional cloud integrity verification with security considerations arising from quantum computing, emphasizing cryptographic constructions that can support trustworthy data management in distributed computing environments.[2][3]

Research Contributions

Her documented contributions include research on trapdoor-free lattice-based certificateless public auditing, comprehensive examination of lattice-based auditing approaches, and development of an efficient quantum-resistant public auditing scheme for cloud-assisted IoT. Collectively, these publications address authentication, auditability, data integrity, and resilience against cryptographic threats associated with future quantum-enabled computational capabilities.[1][2][3]

Publications

Cheeturi’s listed research includes studies addressing lattice-based public auditing and quantum-resistant cloud-assisted IoT security. The publications cover both foundational and applied aspects of secure public auditing, including a trapdoor-free certificateless construction, a survey of lattice-based auditing schemes, and an efficient quantum-resistant approach for cloud-assisted IoT environments.[1][2][3]

Research Impact

The research contributes to the broader discussion of secure cloud storage and IoT data verification by examining cryptographic approaches suitable for environments facing evolving computational threats. Its relevance extends to public auditing, data integrity, privacy-aware verification, and post-quantum security, while the available bibliographic record provides measurable indicators of scholarly dissemination through indexed publications and citations.[1][2][3]

Award Suitability

Cheeturi’s research is relevant to an Innovative Research Award through its focus on cryptographic approaches for contemporary and emerging security challenges. Her publications address lattice-based public auditing and quantum-resistant cloud-assisted IoT security, demonstrating engagement with research topics at the intersection of cloud computing, cybersecurity, cryptography, and quantum computing.[1][3]

Conclusion

Renuka Cheeturi’s documented research addresses secure public auditing for cloud-assisted IoT and lattice-based cryptographic mechanisms, including approaches designed to address quantum-era security requirements. Her publication portfolio reflects a focused research direction involving cloud security, cryptography, data integrity, and quantum-resistant technologies, providing a scholarly basis for recognition within innovative technology research.[1][2][3]

References

  1. Cheeturi, R., et al. (n.d.). TF-LB-CLPAS: Trapdoor-Free Lattice-Based Certificateless Public Auditing Scheme for Cloud-Assisted IoT. Concurrency and Computation: Practice and Experience.
    https://doi.org/10.1002/cpe.70923
  2. Cheeturi, R., et al. (n.d.). Lattice-Based Public Auditing Schemes for Cloud Storage Security: A Comprehensive Survey. Concurrency and Computation: Practice and Experience.
    https://doi.org/10.1002/cpe.70556
  3. Cheeturi, R., et al. (n.d.). Efficient and Quantum-Resistant Public Auditing Scheme for Cloud-Assisted IoT. IEEE.
    https://ieeexplore.ieee.org/document/11410013
  4. Elsevier. (n.d.). Scopus author details: Renuka Cheeturi, Author ID 58651022600. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=58651022600

Dawood Khan | Information Theory | Best Researcher Award

Dr. Dawood Khan | Information Theory | Best Researcher Award

Lecturer | University of Balochistan | Pakistan

Dr. Dawood Khan is an emerging scholar in mathematical analysis, with a focused research portfolio spanning fractional calculus, convexity theory, superquadratic functions, and fractional integral inequalities. With 24 publications, 111 citations, 6 h-index and collaborations with 30 co-authors, he has contributed to advancing analytical methods used in optimization, dynamical systems, and applied modeling. His recent works, including studies on HH f-divergence, multiplicative calculus, and strongly convex functions, published in reputable journals such as Kuwait Journal of Science (2026) and Boundary Value Problems (2025), demonstrate both methodological rigor and thematic innovation. Dr. Khan’s research enhances the precision of mathematical tools employed in engineering, physics, and computational sciences, offering new perspectives for tackling complex real-world problems. His growing academic influence, reflected through an h-index of 6, underscores a sustained trajectory of scholarly impact and interdisciplinary collaboration, contributing to the global advancement of contemporary mathematical analysis.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

1. Khan, D., & Butt, S. I. (2024).Superquadraticity and its fractional perspective via center-radius cr-order relation. Chaos, Solitons & Fractals, 182, 114821.
Cited by: 26

2. Khan, D., Butt, S. I., & Seol, Y. (2025).Analysis on multiplicatively-superquadratic functions and related fractional inequalities with applications. Fractals,33(03), 2450129.
Cited by: 22

3. Butt, S. I., & Khan, D. (2025).Integral inequalities of h-superquadratic functions and their fractional perspective with applications. Mathematical Methods in the Applied Sciences, 48(2), 1952–1981.
Cited by: 22

4. Butt, S. I., & Khan, D. (2025).Superquadratic function and its applications in information theory via interval calculus. Chaos, Solitons & Fractals, 190, 115748.
Cited by: 12

5. Khan, D., Butt, S. I., & Seol, Y. (2024).Analysis of superquadratic function and related fractional integral inequalities with applications. Journal of Inequalities and Applications, 2024(1), 137.
Cited by: 12

Dr. Dawood Khan’s work strengthens foundational mathematical frameworks that underpin modern scientific and industrial modeling. His research advances global innovation by improving analytical tools essential for engineering, data science, and computational technologies.