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Dr Shengnan Li
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Biography

Shengnan Li is a member of UZH Blockchain Center and postdoctoral researcher in Blockchain and Distributed Ledger Technologies group at the Informatics Department, University of Zurich.
During the PhD study, she mainly focuses on data analytics and agent-based modelling in blockchain-based systems, including detection of selfish mining behaviour, data analysis on reward incentives and modelling staking mechanism. She received a bachelor's degree in financial engineering and master's degree on systems analysis and integration both from University of Shanghai for Science and Technology. She already published her PhD thesis: “Effects of Consensus and Incentives on the Functioning of Blockchains, which brings her systematic cognition of the blockchain ecosystem from both the academic and industry perspectives.

Research interests:
Analysis of blockchain-based systems, User behaivor analysis, Network science, Strategic Mining, Strategic Mining
Title
Research Area
Authors
Publication Type
Release Year
Title

Agent-based Modelling of Bitcoin Consensus without Block Rewards

Research Area

Blockchain Analytics

Authors

Benjamin Kraner, Sheng-Nan Li, Andreia Sofia Teixeira, Claudio J. Tessone

Publication Type
Conference Proceedings
Release Year

2022

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Title

Twisted by the Pools: Detection of Selfish Anomalies in Proof-of-Work Mining

Research Area

Blockchain Analytics

Authors

Sheng-Nan Li, Carlo Campajola, Claudio J. Tessone

Publication Type
Research Paper
Release Year

2022

Read paper
Title

Agent-based Modelling of Bitcoin Consensus without Block Rewards

Research Area

Blockchain Analytics

Authors

Benjamin Kraner, Sheng-Nan Li, Andreia Sofia Teixeira, Claudio J. Tessone

Publication Type
Conference Proceedings
Release Year

2022

Read paper
Title

Agent-based Modelling of Strategic behavior in PoW Protocols

Research Area

Blockchain Analytics

Authors

Caspar Schwarz-Schilling, Sheng-Nan Li, Claudio J Tessone

Publication Type
Conference Proceedings
Release Year

2021

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Title

Mining blocks in a row: A statistical study of fairness in Bitcoin mining

Research Area

Authors

Sheng-Nan Li, Zhao Yang, Claudio J. Tessone

Publication Type
AllConference Proceedings
Release Year

2020

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Title

Proof-of-Work cryptocurrency mining: a statistical approach to fairness

Research Area

Blockchain Analytics

Authors

Sheng-Nan Li, Zhao Yang, Claudio J Tessone

Publication Type
Conference Proceedings
Release Year

2020

Read paper
Title

Mining blocks in a row: a statistical study of fairness in Bitcoin mining

Research Area

Blockchain Analytics

Authors

Sheng-Nan Li, Zhao Yang, Claudio J Tessone

Publication Type
Conference Proceedings
Release Year

2020

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