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DSU is a place where innovation meets opportunity. We are a nationally recognized leader in technology-driven education, constantly pushing the boundaries of what’s possible. With hands-on learning experiences, expert faculty, and cutting-edge facilities, we prepare you for modern careers. Choose from a wide range of affordable, forward-thinking programs that allow you to shape your own path. Your future begins today.

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Jason Mixon

Jason Mixon

Jason Mixon

Assistant Professor

Department

The Beacom College of Computer & Cyber Sciences

Education

Ph.D., Computer Science - Dakota State University
M.S., Computer Science - Dakota State University
M.B.A., General Business - West Texas A&M University
B.B.A., Computer Information Systems - West Texas A&M University

Biography

Jason Mixon is an Assistant Professor of Artificial Intelligence and Computer Science in The Beacom College of Computer & Cyber Sciences. He teaches courses at the undergraduate and graduate levels focused on artificial intelligence and AI tools and frameworks.

Mixon brings industry experience in data management and governance, previously working for Fortune 10 companies as well as public/private partnerships architecting enterprise data solutions. His research focuses on generative AI and federated learning and he is currently finishing a PhD from DSU researching computer vision data set augmentation using latent diffusion models.

Contact

Office Location: East Hall
Phone: (605) 256-5838
Email
Website

  • Computer Vision
  • Artificial Intelligence
  • AI Tools & Frameworks

  • Sythetic Data
  • Generative AI
  • Computer Vision
  • Federated Learning

  • Mixon, J., O'Brien, A., Noteboom, C., Krebsbach, S., & Spanier, M. (2025). Bone Surface Modification Dataset Synthesis for Computer Vision Models Using LoRA Tuned Latent Diffusion Models. In Proceedings of the International Symposium on Intelligent Computing and Networking 2025 (Springer).
  • Behrens, A., Mixon, J., Smith, A., Pecherskaia, I. (2025). Explainable Artificial Intelligence Design Theory for Clinical Decision Support Systems.

  • Mixon, J., O'Brien, A., Noteboom, C., Krebsbach, S., & Spanier, M. (2025, March). Bone Surface Modification Dataset Synthesis for Computer Vision Models Using LoRA Tuned Latent Diffusion Models. Talk presented at the International Symposium for Intelligent Computing and Networking, March 17-19, 2025.