Jason Shepherd

Dr. Jason Shepherd is a Professor of Computer Science at Buena Vista University, where he has been a faculty member since 2007. He holds a B.S. from Buena Vista University, an M.S. from the University of Nebraska-Omaha, and a Ph.D. from the University of South Dakota. With a professional background spanning over a decade in software engineering and IT architecture—particularly in national defense (DoD), energy, and transportation—he brings real-world expertise into the classroom to bridge theoretical concepts with practical applications.

His educational background includes:

• B.S. in Computer Science from Buena Vista University
• M.S. in Computer Science from University of Nebraska-Omaha
• Ph.D. in Computer Science from University of South Dakota

Dr. Shepherd's teaching and research interests center on core areas of computer science, with a strong emphasis on applied technologies. His expertise spans Software Engineering, Algorithms, Programming Languages and Compilers, Web Application Development, and User Interface Design. He is deeply committed to integrating industry experience into academic instruction, enhancing student learning through practical, real-world context.

While no recent publications are listed, his instructional focus suggests engagement with applied computing disciplines, particularly in software development, system design, and educational pedagogy within computer science.

He has been recognized with prestigious awards for both teaching and academic advising:

• George Wythe Award for Excellence in Teaching
• New Century Faculty Development Award for Advising

Dr. Shepherd is actively involved in student mentorship and academic development, particularly through advising. His prior industry experience in critical infrastructure sectors has likely informed grant or curriculum development initiatives, though specific grants are not mentioned. His work emphasizes experiential learning and professional readiness in computing fields.

No information is available regarding research labs, collaborative teams, or ongoing research projects.