Christopher Mansour, Ph.D.

Associate Professor & Chair, Computing & Information Science

Founding Member of Cybersecurity Program at Mercyhurst University

Cybersecurity Expert & Public Speaker | Associate CISO

Office: LIB 409
Mercyhurst University
501 E 38th ST,
Erie, PA, 16546

  • Cryptography and Information Security

    Computer Networks

    Networks Security

    Computer Architecture

    Trusted Computing and Hardware Security

    Secure Software Development

    AI Applications in Cybersecurity

    Ethical Haking and Penetration Testing

    Ethics in Artificial Intelligence

  • CIS 100: Introduction to Computer Science

    CIS 160: Introduction to Cybersecurity

    CIS 200: Linear Data Structures

    CIS 230: Operating Systems

    CIS 261: Information Security

    CIS 365: Cyber Law and Policy

    CIS 360: Computer Systems Security

    CIS 260: Computer Networks Security

    CIS 500: Computing and Information Science Concepts

    CIS 510: Algorithm Development

    CIS 560: Cyber Networks

    CIS 565: Systems and Applications Security

    CIS 566: Cloud Security

    CIS 502: Penetration Testing

  • Applying Machine Learning Approaches for Next-Gen Networks Security

    Securing Critical Infrastructure through Hardware and Software Defined Solutions

  • TV/Media Subject Matter Expert on Cyber Security Incidents

    Board of Trustees Member for Community Access Media

    IEEE Member

    ACM Member

  • N. Pape and C. Mansour, "Security Monitoring for VANETs Using Machine Learning," 2024 7th International Conference on Information and Computer Technologies (ICICT), Honolulu, HI, USA, 2024, pp. 70-74, doi: 10.1109/ICICT62343.2024.00018

    N. Pape and C. Mansour, "PASTA Threat Modeling for Vehicular Networks Security," 2024 7th International Conference on Information and Computer Technologies (ICICT), Honolulu, HI, USA, 2024, pp. 474-478, doi: 10.1109/ICICT62343.2024.00083.

    N. Pape and C. Mansour, ”Edge Machine Learning to Detect Malicious Activity in IoT Devices through System Calls and Traffic Analysis,” 2023 International Conference On Cyber Management And Engineering (CyMaEn), Bangkok, Thailand, 2023, pp. 123-127, doi: 10.1109/CyMaEn57228.2023.10051091.

    D. Chasaki and C. Mansour, "Detecting Malicious Hosts in SDN through System Call Learning," IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), Vancouver, BC, Canada, 2021, pp. 1-2, doi: 10.1109/INFOCOMWKSHPS51825.2021.9484586.

    For more publications, please click here

  • Statler Foundation Grant - $50,000

  • Ken Schiff Legacy Award Recipient - 2022 faculty member of the year for going above and beyond to support students of the AIM (Autism Initiative at Mercyhurst) program

Mercyhurst University