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Headshot of Xinli Wang

Xinli Wang, Ph.D.

Associate Professor, Department of Information Sciences & Technologies

Email: [email protected]
Phone: (616) 331-4335
Office: MAK D-2-214

Education
Ph.D., Computer Science, Michigan Technological University, 2005

Semester Schedule

Other office hours by appointment only.

Day

Session Title

Time

Location

Monday

CIS 358 - 01

3:00 P.M. - 3:50 P.M.

MAK - B1118

Tuesday

CIS 430 - 01

8:30 A.M. - 9:45 A.M.

MAK - B1110

Wednesday

CIS 358 - 01

3:00 P.M. - 3:50 P.M.

MAK - B1118

Thursday

CIS 430 - 01

8:30 A.M. - 9:45 A.M.

MAK - B1110

Friday

CIS 358 - 01

3:00 P.M. - 3:50 P.M.

MAK - B1118

Additional Courses:

Asynchronous Courses: CIS 358 - 02

Biography

Dr. Xinli Wang is an associate professor, where he brings deep expertise in cybersecurity, artificial intelligence in cybersecurity, and cybersecurity education. His work focuses on advancing the use of AI in digital forensics and information assurance, helping students stay on the leading edge of this rapidly evolving field. Dr. Wang is dedicated to developing dynamic, hands-on learning experiences. He regularly is updating his course materials with the latest tools, technologies, and industry practices. Dr. Wang also serves as a mentor for graduate students on their capstone projects, fostering the next generation of cybersecurity professionals. 

Dr. Wang enjoys teaching courses in digital forensics and cybersecurity. Outside the classroom, he enjoys walking daily and finding balance through an active lifestyle. 

Recent Publications

  • Wang, X., Bhuse, V., & Sutton, S. (2024). The Design and Development of Hands-on Activities for Digital Forensics Education. Journal of The Colloquium for Information Systems Security Education, 11(1), 11. https://doi.org/10.53735/cisse.v11i1.187
  • Wang, X., Mansour, S., & El-Said, M. (2022). Introducing Zero Trust in a Cybersecurity Course. Proceedings of the 23rd Annual Conference on Information Technology Education, 118–120. https://doi.org/10.1145/3537674.3555779
  • El-Said, M., Wang, X., Mansour, S. S., & Kalafut, A. J. (2021). Building an Impersonation Attack and Defense Testbed for Vehicle To Vehicle Systems. SIGITE ’21: The 22nd Annual Conference on Information Technology Education, SnowBird, UT, USA, October 6 - 9, 2021, 65–66. https://doi.org/10.1145/3450329.3478315

Research with Students

Page last modified December 10, 2025