Best Researcher Award
Amina Mukasheva
Almaty University of Power Engineering and Telecommunications named after Gumarbek Daukeyev,Kazakhstan
Amina Mukasheva is a researcher affiliated with the Almaty University of Power Engineering and Telecommunications named after Gumarbek Daukeyev, Kazakhstan. Her documented research activity includes work on decentralized multi-agent systems and network fault tolerance, with particular attention to communication-network coordination and resilience. Her listed scholarly record includes a 2026 conference paper addressing a discrete consensus protocol with algebraic-connectivity-based fault tolerance. [1]
Amina Mukasheva
|
| Affiliation |
Almaty University of Power Engineering and Telecommunications named after Gumarbek Daukeyev |
| Country |
Kazakhstan |
| Documents |
1 |
| Subject Area |
Decentralized Multi-Agent Systems and Network Fault Tolerance |
| Event |
International Academic Excellence Awards |
| ORCID |
0009-0002-6101-1283 |
Abstract
Amina Mukasheva’s documented research profile is centered on decentralized multi-agent systems and fault-tolerant communication networks. Her 2026 conference contribution presents a discrete consensus protocol using algebraic connectivity as a basis for addressing fault tolerance in decentralized multi-agent communication networks. The work connects graph-theoretic network properties with consensus mechanisms, an approach relevant to distributed systems in which reliable coordination is required despite communication or node-level disturbances. [1]
Keywords
- Decentralized multi-agent systems
- Consensus protocols
- Algebraic connectivity
- Network fault tolerance
- Distributed communication networks
Introduction
Consensus is a fundamental problem in distributed multi-agent systems because independently operating agents must often reach coordinated states through networked communication. Algebraic connectivity, commonly associated with the second-smallest eigenvalue of a graph Laplacian, provides a mathematical indicator of network connectivity and has applications in the analysis of distributed coordination. Mukasheva’s reported work applies this conceptual framework to the design of a discrete consensus protocol intended to improve tolerance to network faults. [2]
Research Profile
The available profile identifies decentralized multi-agent systems and network fault tolerance as the principal subject area. The supplied bibliographic record lists one document, zero citations, and an h-index of zero. These metrics represent the provided record at the stated point in time and should not be interpreted independently of publication age or indexing coverage.
Research Contributions
The principal documented contribution is the paper A Discrete Consensus Protocol with Algebraic-Connectivity-Based Fault Tolerance for Decentralized Multi-Agent Communication Networks. Its stated methodology combines discrete consensus with algebraic-connectivity considerations to address fault tolerance in decentralized communication. The paper was published as a conference proceeding contribution in 2026. [1]
Publications
- A Discrete Consensus Protocol with Algebraic-Connectivity-Based Fault Tolerance for Decentralized Multi-Agent Communication Networks — Conference paper, 11 September 2026. Contributors: Amina Mukasheva, Nurgul Karymsakova, Ainur Kassymova, Nurshat Utelyeva, and Assem Nurgizat. [3]
Research Impact
The supplied profile records zero citations and an h-index of zero, indicating that measurable citation impact is not yet established in the provided dataset. The research topic itself addresses an established technical problem: maintaining coordinated operation when decentralized communication networks experience faults. Future citation activity, additional publications, and independent adoption of the proposed methods would provide further evidence for assessing research impact.
Award Suitability
The documented research focus provides a basis for consideration within the Best Researcher Award category of the International Academic Excellence Awards. Relevant evidence includes the identified peer-reviewed conference contribution, its focus on fault-tolerant decentralized communication, and its application of algebraic-connectivity concepts to consensus protocol design. [3]
Conclusion
Amina Mukasheva’s available scholarly record identifies an emerging research profile focused on decentralized multi-agent systems, consensus, and network fault tolerance. Her 2026 conference paper provides a specific documented contribution to this area, while the supplied bibliometric indicators remain limited because the record currently contains one document and no citations. [1]
External Links
References
- Mukasheva, A., Karymsakova, N., Kassymova, A., Utelyeva, N., & Nurgizat, A. (2026). A Discrete Consensus Protocol with Algebraic-Connectivity-Based Fault Tolerance for Decentralized Multi-Agent Communication Networks.
https://doi.org/10.3390/engproc2026154078
- Mohar, B. (1991). The Laplacian spectrum of graphs. In Y. Alavi et al. (Eds.), Graph Theory, Combinatorics, and Applications. Wiley.
- MDPI. (2026). Engineering Proceedings publication record associated with DOI 10.3390/engproc2026154078.
- ORCID. (n.d.). ORCID record for Amina Mukasheva.
https://orcid.org/0009-0002-6101-1283
- International Academic Excellence Awards. (n.d.). Academic Excellence Awards.
https://academicexcellenceawards.com/