Yaniv ProselkovUniversity of Cambridge | Cam · Institute for Manufacturing
Yaniv Proselkov
Master of Science
I am researching effects on survival of information in supply chain financing systems; information provision in telecoms
About
4
Publications
624
Reads
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4
Citations
Introduction
I have focused on estimating global network dynamics using only local information. This has been expressed theoretically and in case studies of telecommunications, supply chain financing networks, and purely financial networks. In these, I have studied the effects and consequences of providing more or less topological information to decentralised actors. I am presently looking into applying connectomics methods to infrastructural information systems,
Additional affiliations
September 2017 - February 2019
Position
- Master's Student
Description
- Graduated as best overall student. A master's degree (Distinction) in engineering mathematics with a focus on network theory and applications of engineering mathematics.
September 2014 - July 2017
Position
- Bachelor's Student
Description
- A bachelor's of science degree in mathematics (graduated with a 2:1) with a focus on network science and combinatorics, probability and measure theory, differential calculus.
Education
September 2017 - February 2019
September 2014 - July 2017
Publications
Publications (4)
Smart manufacturing uses advanced data-driven solutions to improve performance and operations resilience requiring large amounts of data delivered quickly, enabled by telecom networks and network elements such as routers or switches. Disruptions can render a network inoperable; avoiding them requires advanced responsiveness to network usage, achiev...
Smart manufacturing uses advanced data-driven solutions to improve performance and operations resilience requiring large amounts of data delivered quickly, enabled by telecom networks and network elements such as routers or switches. Disruptions can render a network inoperable; avoiding them requires advanced responsiveness to network usage, achiev...
Telecommunication networks are designed to route data along fixed pathways, and so have minimal reactivity to emergent loads. To service today’s increased data requirements, networks management must be revolutionised so as to proactively respond to anomalies quickly and efficiently. To equip the network with resilience, a distributed design calls f...
This paper proposes a framework to analyse traffic-data processes on a long-haul backbone infrastructure network providing internet services at a national level. This type of network requires low latency and fast speed, which means there is a large demand for research focusing on near real-time decision-making and resilience assessment. To this aim...
Projects
Project (1)
Look into ways to directly model network system with supply chain functions, and further study the value of information for a supply chain actor.
