World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
11610
World Ranking
9073
National Ranking
3854

Overview

Salim Hariri is affiliated with the University of Arizona in the United States and has contributed extensively to the field of computer science, with a primary focus on computer networks and communications, artificial intelligence, and information systems. Their research spans multiple subfields, including computer vision and pattern recognition as well as signal processing.

The main areas of Salim Hariri's work encompass:

  • Network Security and Intrusion Detection
  • Anomaly Detection Techniques and Applications
  • Advanced Malware Detection Techniques
  • Video Surveillance and Tracking Methods
  • Internet Traffic Analysis and Secure E-voting
  • Advanced Neural Network Applications
  • IoT and Edge/Fog Computing

Salim Hariri has published numerous papers in prominent venues, frequently contributing to arXiv (Cornell University), where they have 10 publications. Other significant venues include:

  • Cluster Computing (4 publications)
  • IEEE Access (4 publications)
  • Computer Science Review (2 publications)
  • Preprints.org (2 publications)

Their recent notable publications include:

  • "Deep learning for unmanned aerial vehicles detection: A review," 2024, Computer Science Review
  • "An explainable and efficient deep learning framework for video anomaly detection," 2021, Cluster Computing
  • "WIDS: An Anomaly Based Intrusion Detection System for Wi-Fi (IEEE 802.11) Protocol," 2020, IEEE Transactions on Network and Service Management
  • "Energy-efficient and secure mobile fog-based cloud for the Internet of Things," 2021, Future Generation Computer Systems
  • "A Mobility-Aware Human-Centric Cyber-Physical System for Efficient and Secure Smart Healthcare," 2022, IEEE Internet of Things Journal

Frequent collaborators of Salim Hariri include Pratik Satam, Sicong Shao, Abdul Razaque, Bandar Alotaibi, and Munif Alotaibi, reflecting a pattern of joint research efforts in related domains. Their collaborative work covers multiple topics relevant to network security, IoT, and AI-driven anomaly detection.

Best Publications

  • Performance-effective and low-complexity task scheduling for heterogeneous computing

    H. Topcuoglu;S. Hariri;Min-You Wu

  • Autonomic computing: an overview

    Manish Parashar;Salim Hariri

  • Task scheduling algorithms for heterogeneous processors

    H. Topcuoglu;S. Hariri;Min-You Wu

  • A component-based programming model for autonomic applications

    Hua Liu;M. Parashar;S. Hariri

  • Autonomia: an autonomic computing environment

    Xiangdong Dong;S. Hariri;Lizhi Xue;Huoping Chen

  • A testbed for analyzing security of SCADA control systems (TASSCS)

    Malaz Mallouhi;Youssif Al-Nashif;Don Cox;Tejaswini Chadaga

  • The Autonomic Computing Paradigm

    Salim Hariri;Bithika Khargharia;Houping Chen;Jingmei Yang

  • Autonomic Computing : Concepts, Infrastructure, and Applications

    Manish Parashar;Salim A Hariri

  • A new dependency and correlation analysis for features

    G. Qu;S. Hariri;M. Yousif

  • IoT Security Framework for Smart Cyber Infrastructures

    Jesus Pacheco;Salim Hariri

  • Impact analysis of faults and attacks in large-scale networks

    S. Hariri;Guangzhi Qu;T. Dharmagadda;M. Ramkishore

  • Autonomic power and performance management for computing systems

    Bithika Khargharia;Salim Hariri;Mazin S. Yousif

  • Distributed program reliability analysis

    V. K. P. Kumar;S. Hariri;C. S. Raghavendra

  • AutoMate: enabling autonomic applications on the grid

    M. Agarwal;V. Bhat;H. Liu;V. Matossian

  • An efficient network intrusion detection method based on information theory and genetic algorithm

    T. Xia;G. Qu;S. Hariri;M. Yousif

  • AutoMate: Enabling Autonomic Applications on the Grid

    M. Parashar;H. Liu;Z. Li;V. Matossian

  • Multiple Patients Behavior Detection in Real-time using mmWave Radar and Deep CNNs

    Feng Jin;Renyuan Zhang;Arindam Sengupta;Siyang Cao

  • Wireless Anomaly Detection Based on IEEE 802.11 Behavior Analysis

    Hamid Alipour;Youssif B. Al-Nashif;Pratik Satam;Salim Hariri

  • Multi-Level Intrusion Detection System (ML-IDS)

    Y. Al-Nashif;A.A. Kumar;S. Hariri;Guangzhi Qu

  • Reliability analysis in distributed systems

    C.S. Raghavendra;V.K.P. Kumar;S. Hariri

  • Reliability Analysis in Distributed Systems.

    Salim Hariri;Cauligi S. Raghavendra;Viktor K. Prasanna

Frequent Co-Authors

Manish Parashar
Manish Parashar University of Utah
Cauligi S. Raghavendra
Cauligi S. Raghavendra University of Southern California
Geoffrey C. Fox
Geoffrey C. Fox University of Virginia
Howard Jay Siegel
Howard Jay Siegel Colorado State University
Yaser Jararweh
Yaser Jararweh Jordan University of Science and Technology
Alok Choudhary
Alok Choudhary Northwestern University
Raouf Boutaba
Raouf Boutaba University of Waterloo
Ferenc Szidarovszky
Ferenc Szidarovszky Corvinus University of Budapest
Ivan B. Djordjevic
Ivan B. Djordjevic University of Arizona
Laurence T. Yang
Laurence T. Yang St. Francis Xavier University

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