Papers

19

Total Citations

161

H-Index

8

About

Alexey Kashevnik is a prominent researcher specializing in cyber-physical systems (CPS), multi-agent robotics, blockchain technology, and smart space infrastructures. His work sits at the intersection of artificial intelligence, distributed computing, and autonomous systems, with a particular focus on enabling intelligent self-organization and collaboration among heterogeneous devices and agents. Kashevnik's most influential contribution, "Multi-level Self-organization in Cyber-Physical-Social Systems" (2015, 42 citations), established foundational frameworks for integrating physical, cyber, and social resources — demonstrated through practical scenarios such as smart home automation. This work helped define how CPSS architectures can be structured across multiple organizational levels. Alongside this, his ontology-based approaches to robot collaboration and coalition formation have provided reusable semantic models that allow machines to negotiate, cooperate, and adapt dynamically in shared environments. In later work, Kashevnik turned to blockchain as a mechanism for decentralized coordination in multi-agent robotic systems, publishing influential surveys and classification frameworks (2018–2019) that have guided subsequent research in this emerging field. His industrial CPS applications, including lens assembly automation and pick-and-place robotics, demonstrate a consistent commitment to real-world deployment. With over 130 cumulative citations, his research has meaningfully shaped how the robotics and smart systems communities approach autonomous coordination and semantic interoperability.

Research Focus

Key Achievements

8
H-Index
19
Papers
161
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Multi-level Self-organization in Cyber-Physical-Social Systems: Smart Home Cleaning Scenario
42 citations · 2015
📈 Most Prolific Year: 2015 (5 Papers)
🤝 Key Collaborators: 30
🏛 Institutions: ITMO University, St. Petersburg Institute for Informatics and Automation, Petrozavodsk State University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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