Yang Wang, Ph.D.

Associate Professor, and Director of the Graduate Computing Program
Computer Science, Cybersecurity, Information Technology
Yang Wang, Ph.D.
Location:
Holroyd 123

Dr. Yang Wang is an Associate Professor and Director of Graduate Programs in Artificial Intelligence, Cybersecurity, and Computer Information Science at La Salle University. He earned his Ph.D. in Computer Science from Georgia State University in 2012, where he received the Ph.D. Dissertation Grant Award and the Outstanding Graduate Teaching Award. Before joining La Salle, he held several industry positions, including senior engineering roles at Futurewei Technologies and Internap. Dr. Wang has authored over 50 peer-reviewed publications in areas such as optical networking, network virtualization, and cybersecurity. His recent scholarly work focuses on generative AI in education and security, as well as AI-driven research on network optimization. He has secured multiple REU grants to support undergraduate research and was recently awarded a community-based research grant to develop a gamified, AI-infused learning platform aimed at supporting youth mental health coping skills. He actively serves on technical committees for IEEE and ACM conferences and has been recognized as an Exemplary Reviewer by the IEEE Communications Society.

Areas of Expertise

  • Computer Networks
  • Cybersecurity
  • Artificial Intelligence

Education 

  • Ph.D., Computer Science, Georgia State University, 2012
  • M.S., Computer Science, Georgia State University, 2011
  • M.E., Computer Science and Technology, Beijing University of Posts and Telecommunications, 2007
  • B.E., Computer Science and Technology, Anhui Normal University, 2004

Certifications

  • Youth Mental Health First Aid, National Council for Mental Wellbeing, Nov. 2024
  • COIL (Collaborative Online International Learning)Certified Instructor, International Association of La Salle Universities, 2024

Teaching

  • AI for All: From Prompt Engineering to Real-World Applications (new)
  • CSC 15x Introduction to Computing using AI (new)
  • CSC 171 Introduction to Programming (with Game and Robot Programming)
  • CSC 151 Introduction to Computing using Packages
  • CSC 154 HealthCare Informatics
  • CSIT 220 Data Communications
  • CSC 230 Programming Concepts and User Interfaces
  • CSC 240 Database Management Systems
  • CSC 280 Object Programming
  • CSC 290 Introduction to Data Structures and Algorithms
  • CSIT 320 LANs and Network Administration
  • CSIT 422 Information Security
  • CSIT 423 Penetration Testing
  • ECF 880 Integrative Capstone
  • CYB 668 Computer and Network Security

Publications 

  • Y. Wang Y. Yin, L. Jarvinen and F. Mosca, “AI for Everyone: Building Generative AI Literacy Across Disciplines,” in the Journal of Computing Sciences in Colleges (2025)
  • Y. Wang and Y. Yin, “Designing a CS0 Programming Course for At Risk Freshmen,” in the Journal of Computing Sciences in Colleges, Vol.40, No.8, p.107-117 (2025)
  • Y. Wang, Q. Hu, L. Nguyen and M. Jalalitabar, Minimum-Cost Embedding of Virtual Networks: An Iterative Decomposition Approach,” in the Elsevier Journal of Computer Networks, Vol. 234, p. 109907 (2023)
  • Y. Wang, L. Nguyen, and Q. Hu, Network Function Virtualization in Elastic Optical Networks,” in the IEEE/OSA Journal of Lightwave Technology, Vol.41, Issue. 16, p.5183-5192, doi: 10.1109/JLT.2023.3260623 (2023)
  • Y. Wang, and Q. Hu, A Path Growing Approach to Optical Virtual Network Embedding in SLICE Networks,” in the IEEE/OSA Journal of Lightwave Technology, Vol.39, No.8, p.2253-2262 (2021)
  • Y. Wang, K. Beideman, M.McCoey, and M. Jalalitabar, “Empowering Ethical Hacking Education with Generative AIs: A ChatGPT-Infused Curriculum,” in the Proceedings of the IEEE Integrated STEM Education Conference. p.1–7 (2025)
  • Y. Wang, M.McCoey, Q. Hu, and M.Jalalitabar, “Teaching Security in the Era of Generative AI: A Course Design of Security + ChatGPT,” in the Proceedings of the IEEE Integrated STEM Education Conference. p.1–6 (2024)
  • Y. Wang, M.Jalalitabar, and J. Fierson, “Summer Research with Undergraduate Students: A Multi-Thread Design,” in the Proceedings of the 23rd ACM Annual Conference on Information Technology Education (ACM-SIGITE ’22). p.57–62 (2022)
  • Y. Wang, Q. Hu, C. Li, J. Flor, and M. Jalalitabar, “Node Re-Visitation in Virtual Service Mapping: An Integrated Approach,” in the Proceedings of the IEEE/CIC ICCC Conference, p. 1-6 (2021)
  • Y. Wang, P. McCoey and Q. Hu, Developing an Undergraduate Course Curriculum for Ethical Hacking,” in the Proceedings of the 21st ACM Conference on SIG-Information Technology Education (ACM-SIGITE), p. 330-335 (2020)

Presentations 

  • Philly Magazine Interview on AI
  • Mini-game from Scratch: Developing a Game in the Scratch Programming Language,” Blue and Gold Day Workshop, April 12, 2025
  • Panelist, PA Networking User Group (NUG) Philadelphia Winter Event 2025, March 19, 2025
  •  “Intervening with At-risk Freshmen in Programming-Methodologies and Designs,” IEEE Integrated STEM Education Conference, March 2025
  • Revamping the CS Curriculum with AI,” La Salle University AI Spring Course Preparation Workshop, January 7, 2025
  • Prompt Engineering – The Arts and Sciences of Talking to AI,” La Salle University AI Spring Course Preparation Workshop, January 7, 2025
  • Prompt Engineering – Techniques and Use Cases,” La Salle University AI in Practice for Teaching and Learning Workshop, November 13, 2024
  • Teaching Programming Concepts with Visualization: a Systematic Overview and Lessons Learned,” IEEE Integrated STEM Education Conference, March 2024
  • Teaching CUDA Programming at La Salle,” NSF Faculty Training Workshop for Teaching Heterogeneous Computing (Hosted by Texas State University), January 2023
  • Node Re-Visitation in Virtual Service Mapping: An Integrated Approach,” IEEE/CIC ICCC Conference, July 2021