xLAB, within PRECISE, is a collective of designers, engineers and computer scientists who develop immersive experiences for future entertainment systems. Our goal is to interconnect the creation, distribution and consumption of content with the physical world. Through the development of distributed middleware, protocols and interfaces for the Internet of Things, we bring out the context of the content into captivating experiences that engage all senses.

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Papers from 2019

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Temporal Logic Robustness for General Signal Classes, Houssam Abbas, Yash Vardhan Pant, and Rahul Mangharam

Papers from 2018

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Bandwidth Optimal Data/Service Delivery for Connected Vehicles via Edges, Deepak Gangadharan, Oleg Sokolsky, Insup Lee, BaekGyu Kim, Chung-Wei Lin, and Shinichi Shiraishi

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OpenICE-lite: Towards a Connectivity Platform for the Internet of Medical Things, Radoslav Ivanov, Hung Nguyen, James Weimer, Oleg Sokolsky, and Insup Lee

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LogSafe: Secure and Scalable Data Logger for IoT Devices, Hung Nguyen, Radoslav Ivanov, Linh T.X. Phan, Oleg Sokolsky, James Weimer, and Insup Lee

Papers from 2017

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MOBILITY21: Strategic Investments for Transportation Infrastructure & Technology, Rahul Mangharam, Megan Ryerson, Steve Viscelli, Hamsa Balakrishnan, Alexander Bayen, Surabh Amin, Leslie Richards, Leo Bagley, and George Pappas

Papers from 2015

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Sometimes, Money Does Grow on Trees: DR-Advisor, A Data Driven Demand Response Recommender System, Madhur Behl and Rahul Mangharam

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CloudMat: Context-aware Personalization of Fitness Content, Kuk Jin Jang, Jungmin Ryoo, Orkan Telhan, and Rahul Mangharam

Papers from 2013

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AS-CRED: Reputation and Alert Service for Inter-Domain Routing, Jian Chang, Krishna Venkatasubramanian, Andrew G. West, Sampath Kannan, Insup Lee, Boon Thau Loo, and Oleg Sokolsky

Papers from 2012

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Trust in Collaborative Web Applications, Andrew G. West, Jian Chang, Krishna Venkatasubramanian, and Insup Lee

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Spamming for Science: Active Measurement in Web 2.0 Abuse Research, Andrew G. West, Pedram Hayati, Vidyasagar Potdar, and Insup Lee

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Towards Content-Driven Reputation for Collaborative Code Repositories, Andrew G. West and Insup Lee

Papers from 2011

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Wikipedia Vandalism Detection: Combining Natural Language, Metadata, and Reputation Features, B. Thomas Adler, Luca de Alfaro, Santiago M. Mola-Velasco, Paolo Rosso, and Andrew G. West

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AS-TRUST: A Trust Quantification Scheme for Autonomous Systems in BGP, Jian Chang, Krishna K. Venkatasubramanian, Andrew G. West, Sampath Kannan, Boon Thau Loo, Oleg Sokolsky, and Insup Lee

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Autonomous Link Spam Detection in Purely Collaborative Environments, Andrew G. West, Avantika Agrawal, Phillip Baker, Brittney Exline, and Insup Lee

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Link Spamming Wikipedia for Profit, Andrew G. West, Jian Chang, Krishna Venkatasubramanian, Oleg Sokolsky, and Insup Lee

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Multilingual Vandalism Detection Using Language-Independent & Ex Post Facto Evidence, Andrew G. West and Insup Lee

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Towards the Effective Temporal Association Mining of Spam Blacklists, Andrew G. West and Insup Lee

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What Wikipedia Deletes: Characterizing Dangerous Collaborative Content, Andrew G. West and Insup Lee

Papers from 2010

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Spam Mitigation Using Spatio-Temporal Reputations From Blacklist History, Andrew G. West, Adam J. Aviv, Jian Chang, and Insup Lee

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Spatio-Temporal Analysis of Wikipedia Metadata and the STiki Anti-Vandalism Tool, Andrew G. West, Sampath Kannan, and Insup Lee

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STiki: An Anti-Vandalism Tool for Wikipedia Using Spatio-Temporal Analysis of Revision Metadata, Andrew G. West, Sampath Kannan, and Insup Lee

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Detecting Wikipedia Vandalism via Spatio-Temporal Analysis of Revision Metadata, Andrew G. West, Insup Lee, and Sampath Kannan

Papers from 2009

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Dynamic Trust Management, Matt Blaze, Sampath Kannan, Insup Lee, Oleg Sokolsky, Jonathan M. Smith, Angelos D. Keromytis, and Wenke Lee

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QuanTM: A Quantitative Trust Management System, Andrew G. West, Adam J. Aviv, Jian Chang, Vinayak S. Prabhu, Matthew A. Blaze, Sampath Kannan, Insup Lee, Jonathan M. Smith, and Oleg Sokolsky

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An Evaluation Framework for Reputation Management Systems, Andrew G. West, Sampath Kannan, Insup Lee, and Oleg Sokolsky