Koksal Mus’ research and teaching interests focus on cybersecurity, cryptography, and computer engineering, with expertise extending to hardware programming and applied security. His research includes the standardization of quantum-computer-resistant security and the development of future cybersecurity standards. His work has been published in top-tier security conferences, including the ACM Conference on Computer and Communications Security (CCS) and the IEEE European Symposium on Security and Privacy (Euro S&P). He is also a patent holder in verifiable internet voting, with a focus on providing digital security through personal computers.

In his teaching, Prof. Mus is deeply committed to student-centered, active-learning pedagogies that help students connect theoretical foundations with hands-on, practice-oriented projects. His current teaching interests include the integration of generative AI and virtual learning assistants into STEM education, project-based learning, flipped classroom models, and inclusive course design. He is especially interested in using AI-supported learning environments to improve student engagement, creativity, critical thinking, and self-efficacy in cybersecurity and computer engineering courses. Across undergraduate and graduate courses, Prof. Mus aims to create learning experiences that help students move beyond technical understanding toward design, analysis, adversarial thinking, and real-world problem solving.