Research

Networks, finance and autonomous systems.

Seven peer-reviewed papers, three theses and five think-tank reports. Also on Google Scholar and ResearchGate.

Academic papers

Modelling Viable Supply Networks with Cooperative Adaptive Financing

Y Proselkov, L Xu, A Brintrup (2026). arXiv preprint.

Proposes a decentralised financing mechanism to improve supply chain viability using cooperative adaptation.

Towards Autonomous Supply Chains: Definition, Characteristics, Conceptual Framework, and Autonomy Levels

L Xu, S Mak, Y Proselkov, A Brintrup (2024). Journal of Industrial Information Integration.

Establishes a foundational framework and autonomy levels for the transition toward fully autonomous supply chains.

Financial Ripple Effect in Complex Adaptive Supply Networks: An Agent-Based Model

Y Proselkov, J Zhang, L Xu, E Hofmann, T Choi, D Rogers, A Brintrup (2023). International Journal of Production Research.

Investigates how financial distress propagates through complex supply networks using an agent-based approach.

Implementation of Autonomous Supply Chains for Digital Twinning: A Multi-Agent Approach

L Xu, Y Proselkov, S Schoepf, D Minarsch, M Minaricova, A Brintrup (2023). IFAC-PapersOnLine 56(2), 11076–11081.

Details a multi-agent system architecture for creating digital twins of autonomous supply chains.

The Value of Information for Dynamic Decentralised Criticality Computation

Y Proselkov, M Herrera, M Perez-Hernandez, AK Parlikad, A Brintrup (2022). IFAC-PapersOnLine 55(2), 408–413.

Explores decentralised methods for assessing node criticality in dynamic networks based on information value.

Mining Graph-Fourier Transform Time Series for Anomaly Detection of Internet Traffic at Core and Metro Networks

M Herrera, Y Proselkov, M Perez-Hernandez, AK Parlikad (2021). IEEE Access 9, 8997–9011.

Applies Graph-Fourier transforms to detect anomalies in large-scale telecommunication traffic data.

Distributed Dynamic Measures of Criticality for Telecommunication Networks

Y Proselkov, M Herrera, AK Parlikad, A Brintrup (2020). SOHOMA, 1–12.

Introduces distributed algorithms for computing criticality metrics in evolving telecommunication infrastructures.

Theses

Scalable Autonomous Network Control using Minimally Informed Agents

PhD Thesis, University of Cambridge, Institute for Manufacturing, Christ's College (2024).

Doctoral research developing scalable control mechanisms for complex networks utilizing agents with limited local information.

Triple-Jumping over Fragmentation, Epidemics, and Spontaneous Adaption

MSc Thesis, University of Bristol, Department of Engineering Mathematics (2018).

Master's thesis examining fragmentation and spontaneous adaptation in network epidemic models.

Exploring bounds of the 3 state misanthrope interacting particle system to ensure stationarity and translation-invariance, with other results

BSc(Hons) Thesis, University of Bristol, Department of Mathematics (2017).

Bachelors's thesis studying the nonstationary behaviour of 3 state misanthropic interacting particle systems.

Think-tank pieces

Bridging Universities, Capital, and Real-World Projects conceptual graphic

Bridging Universities, Capital, and Real-World Projects: A Translational Framework for Impact Measurement

S Choo, S Castello, Y Proselkov (2026). SSRN preprint.

A translational framework aimed at measuring real-world impact across academic and financial projects.

Grand Theft AI: Restructuring the Economy to Align with AI

Y Proselkov (2026). TRENDS Research & Advisory.

Explores how economic structures must evolve to harness and align with the integration of artificial intelligence.

Systematising Startup Creation in Cambridge

Y Proselkov. Global Cambridge — a five-layer production model for systematising startup creation and retaining innovation in the Cambridge ecosystem.

Presents a five-layer production model aimed at retaining innovation and streamlining startup formation.

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