activity
20182025
most citedBlockly2Hooks: Smart Contracts for Everyone with the XRP Ledger and Google Blockly

4 citations · 8 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CR2025★ 4 cited

Blockly2Hooks: Smart Contracts for Everyone with the XRP Ledger and Google Blockly

Lucian Trestioreanu, Wazen Shbair, Flaviene Scheidt de Cristo +1

Recent technologies such as inter-ledger payments, non-fungible tokens, and smart contracts are all fruited from the ongoing development of Distributed Ledger Technologies. The for…

cs.NI2025★ 1 cited

To Squelch or not to Squelch: Enabling Improved Message Dissemination on the XRP Ledger

Lucian Trestioreanu, Flaviene Scheidt, Wazen Shbair +3

With the large increase in the adoption of blockchain technologies, their underlying peer-to-peer networks must also scale with the demand. In this context, previous works highligh…

cs.NI2023

XRP-NDN Overlay: Improving the Communication Efficiency of Consensus-Validation based Blockchains with an NDN Overlay

Lucian Trestioreanu, Wazen M. Shbair, Flaviene Scheidt de Cristo +1

With the growing adoption of Distributed Ledger Technologies and the subsequent scaling of these networks, there is an inherent need for efficient and resilient communication used…

cs.SE2022★ 1 cited

Deep dive into Interledger: Understanding the Interledger ecosystem

Lucian Trestioreanu, Cyril Cassagnes, Radu State

At the technical level, the goal of Interledger is to provide an architecture and a minimal set of protocols to enable interoperability between any value transfer systems. The Inte…

cs.CR2021★ 1 cited

SPON: Enabling Resilient Inter-Ledgers Payments with an Intrusion-Tolerant Overlay

Lucian Trestioreanu, Cristina Nita-Rotaru, Aanchal Malhotra +1

Payment systems are a critical component of everyday life in our society. While in many situations payments are still slow, opaque, siloed, expensive or even fail, users expect the…

cs.CV2018★ 1 cited

Holographic Visualisation of Radiology Data and Automated Machine Learning-based Medical Image Segmentation

Lucian Trestioreanu

Within this thesis we propose a platform for combining Augmented Reality (AR) hardware with machine learning in a user-oriented pipeline, offering to the medical staff an intuitive…