Chair, Computing and Information Science (Cyber Security and Data Science) Department, Associate Professor
Education
- Ph.D., Engineering, Villanova University, 2018
- Certificate in Teaching Engineering in Higher Education, Villanova University, 2017
- M.S., Computer Engineering, Villanova University, 2014
- Certificate in Cybersecurity, Villanova University, 2014
- B.S., Computer and Communications Engineering, American University of Science and Technology, 2012
Christopher Mansour is the founding member and Chair of the Computing and Information Science Department at Mercyhurst University, where he has been developing and teaching the Cybersecurity program for six years. He holds a Ph.D. in Engineering with a concentration in Cyber Security and a Master of Science in Computer Engineering from Villanova University.
As a recognized thought leader and frequent media contributor, Christopher offers strategic insights to bridge academia, industry, and the public, ensuring that cybersecurity professionals are well-prepared to tackle emerging threats. His mission is to educate and empower the next generation of cybersecurity professionals and leaders.
Christopher's areas of expertise include computer networks security, software security, embedded systems security, internet of things, ubiquitous computing, software-defined networks, cyber-physical systems security, and trusted computing. He has published multiple articles in international peer-reviewed conferences and journals, as well as been an invited speaker for various cybersecurity talks and workshops.
In addition to his academic work, Christopher served as a technical committee member and reviewer for several international conferences and as an assistant editor for the Cybersecurity Skills Journal. He is also a member of the Association for Computing Machinery (ACM) and the Institute of Electrical and Electronics Engineers (IEEE).
Christopher frequently receives requests for public speaking and guest lectures, leveraging his expertise to help secure the digital future. As a guest lecturer and speaker, he engages with the public through interviews and keynote addresses, making cybersecurity accessible and relevant to a broad audience.
- Cryptography and Information Security
- Computer Networks
- Networks Security
- Computer Architecture
- Trusted Computing and Hardware Security
- Secure Software Development
- AI Applications in Cybersecurity
- Ethical Hacking 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.
- 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