World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
79
Citations
25633
World Ranking
1142
National Ranking
606

Research.com Recognitions

  • 2014 - IEEE Fellow For contributions to the fields of multimedia, geospatial and distributed databases
  • 2009 - ACM Distinguished Member

Overview

Cyrus Shahabi is affiliated with the University of Southern California in the United States. Their research spans multiple areas within computer science, social sciences, and engineering, with a particular focus on artificial intelligence, transportation, and signal processing. They have contributed extensively to topics related to human mobility and location-based analysis, privacy-preserving technologies in data, data management and algorithms, as well as traffic prediction and management techniques.

Their recent scholarly works include several publications in notable venues. Some of the latest papers are:

  • Real-time distance-based outlier detection in data streams (2020), Proceedings of the VLDB Endowment
  • Fair task assignment in spatial crowdsourcing (2020), Proceedings of the VLDB Endowment
  • DeepTRANS (2020), Proceedings of the VLDB Endowment
  • HAGEN: Homophily-Aware Graph Convolutional Recurrent Network for Crime Forecasting (2022), Proceedings of the AAAI Conference on Artificial Intelligence
  • REACT (2020), SIGSPATIAL Special

Frequent co-authors collaborating with Cyrus Shahabi include Gabriel Ghinita, Sepanta Zeighami, John Krumm, Sina Shaham, and Ritesh Ahuja. These collaborations underscore ongoing work in geographic information systems and spatial data processing.

The publishing venues where Shahabi's research frequently appears demonstrate a diverse set of academic outlets. These venues include:

  • arXiv (Cornell University)
  • Proceedings of the VLDB Endowment
  • ACM Transactions on Spatial Algorithms and Systems
  • SIGSPATIAL Special
  • JCO Clinical Cancer Informatics

Their research intersects numerous fields and topics, notably:

  • Computer Science
  • Social Sciences
  • Engineering

  • Artificial Intelligence
  • Transportation
  • Signal Processing
  • Building and Construction
  • Computer Vision and Pattern Recognition

  • Human Mobility and Location-Based Analysis
  • Privacy-Preserving Technologies in Data
  • Data Management and Algorithms
  • Traffic Prediction and Management Techniques
  • Geographic Information Systems Studies
  • Vehicular Ad Hoc Networks (VANETs)
  • Transportation and Mobility Innovations

Cyrus Shahabi has been recognized with several awards, including being named an IEEE Fellow in 2014 for contributions to multimedia, geospatial, and distributed databases. Additionally, they were designated as an ACM Distinguished Member in 2009.

Best Publications

  • Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting

    Yaguang Li;Rose Yu;Cyrus Shahabi;Yan Liu

  • Big data and its technical challenges

    H. V. Jagadish;Johannes Gehrke;Alexandros Labrinidis;Yannis Papakonstantinou

  • Private queries in location based services: anonymizers are not necessary

    Gabriel Ghinita;Panos Kalnis;Ali Khoshgozaran;Cyrus Shahabi

  • REACT: real-time contact tracing and risk monitoring using privacy-enhanced mobile tracking

    Li Xiong;Cyrus Shahabi;Yanan Da;Ritesh Ahuja

  • Voronoi-based K nearest neighbor search for spatial network databases

    Mohammad Kolahdouzan;Cyrus Shahabi

  • GeoCrowd: enabling query answering with spatial crowdsourcing

    Leyla Kazemi;Cyrus Shahabi

  • Knowledge discovery from users Web-page navigation

    C. Shahabi;A.M. Zarkesh;J. Adibi;V. Shah

  • Crowd sensing of traffic anomalies based on human mobility and social media

    Bei Pan;Yu Zheng;David Wilkie;Cyrus Shahabi

  • Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting

    Yaguang Li;Rose Yu;Cyrus Shahabi;Yan Liu

  • Deep Learning: A Generic Approach for Extreme Condition Traffic Forecasting.

    Rose Yu;Yaguang Li;Cyrus Shahabi;Ugur Demiryurek

  • A framework for protecting worker location privacy in spatial crowdsourcing

    Hien To;Gabriel Ghinita;Cyrus Shahabi

  • The spatial skyline queries

    Mehdi Sharifzadeh;Cyrus Shahabi

  • Blind evaluation of nearest neighbor queries using space transformation to preserve location privacy

    Ali Khoshgozaran;Cyrus Shahabi

  • A PCA-based similarity measure for multivariate time series

    Kiyoung Yang;Cyrus Shahabi

  • A Road Network Embedding Technique for K-Nearest Neighbor Search in Moving Object Databases

    Cyrus Shahabi;Mohammad R. Kolahdouzan;Mehdi Sharifzadeh

  • The optimal sequenced route query

    Mehdi Sharifzadeh;Mohammad Kolahdouzan;Cyrus Shahabi

  • Spatial crowdsourcing: a survey

    Yongxin Tong;Zimu Zhou;Yuxiang Zeng;Lei Chen

  • Feature subset selection and feature ranking for multivariate time series

    H. Yoon;K. Yang;C. Shahabi

  • Multi-task Representation Learning for Travel Time Estimation

    Yaguang Li;Kun Fu;Zheng Wang;Cyrus Shahabi

  • Utilizing Real-World Transportation Data for Accurate Traffic Prediction

    Bei Pan;Ugur Demiryurek;Cyrus Shahabi

  • The Clustered AGgregation (CAG) technique leveraging spatial and temporal correlations in wireless sensor networks

    Sunhee Yoon;Cyrus Shahabi

  • Proceedings of the 2013 IEEE International Conference on Big Data

    Xiaohua Hu;Tsau Young Lin;Vijay Raghavan;Benjamin Wah

Frequent Co-Authors

Craig A. Knoblock
Craig A. Knoblock University of Southern California
Roger Zimmermann
Roger Zimmermann National University of Singapore
Gabriel Ghinita
Gabriel Ghinita Hamad bin Khalifa University
Lei Chen
Lei Chen Hong Kong University of Science and Technology
Wei-Shinn Ku
Wei-Shinn Ku Auburn University
José Luis Ambite
José Luis Ambite University of Southern California
Li Xiong
Li Xiong Emory University
Albert Rizzo
Albert Rizzo University of Southern California
Steven Minton
Steven Minton InferLink Corporation
Ramesh Govindan
Ramesh Govindan University of Southern California

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