Wenyu Ren
  • HOME
  • EDUCATION
  • RESEARCH
    • Online, Context-aware, Intelligent Anomaly Detection and Analysis for SCADA Systems
    • Intelligent Synchrophasor Data Real-Time Compression
    • Applied Resiliency for More Trustworthy Grid Operation (ARMORE)
    • Secure and Scalable Data Collection Protocol in Smart Grid
    • Optimal Data Replication in RSU Aided Vehicles Networks
    • Limits of Predictability and Patterns of Vehicular Mobility
    • Optimal Vehicle Number and Coding Decision in Vehicular DTNs
    • Multi-Armed Bandit Problem
    • Green Data Center
  • PUBLICATION
  • ABOUT ME
  • CV
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Welcome

My name is Wenyu Ren (任问宇). I am a research scientist at Facebook. I got my Ph.D. degree in the Department of Computer Science at University of Illinois at Urbana-Champaign. I did my research in the area of anomaly detection and data analysis for cyber-physical systems under the supervision of Prof. Klara Nahrstedt. I got my B.E. degree in Department of Electronic Engineering, Tsinghua University.


News

July 2019: My paper "CAPTAR: Causal-Polytree-based Anomaly Reasoning for SCADA Networks" was accepted by IEEE SmartGridComm 2019.
June 2019:
 I joined Facebook as a reasearch scientist.
May 2019: I got my Ph.D. degree and graduated from UIUC.
October 2018: My paper "EDMAND: Edge-Based Multi-Level Anomaly Detection for SCADA Networks" was published in IEEE SmartGridComm 2018.
August 2018: I finished my summer internship at Facebook in Seattle.
December 2017: I passed my preliminary examination.

October 2017: My paper "ISAAC: Intelligent Synchrophasor Data Real-Time Compression Framework for WAMS" was published in IEEE SmartGridComm 2017.
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