Built through research, guided by faculty, and designed for real-world impact. CMKL's graduate students build across disciplines — from medical AI and cybersecurity to brain-computer interfaces, mixed reality, and cultural preservation — developing real systems through close mentorship with faculty advisors.
A generative AI model (sCTFlow) that synthesizes high-fidelity CT images directly from MRI to support faster MR-only radiotherapy planning.
A hybrid machine-learning framework that detects abnormal authentication behavior and hidden cyber threats in enterprise Active Directory logs.
A brain-computer interface that decodes neural signals in real time to fly a virtual drone hands-free.
An AI-powered platform that connects volunteers with social projects and turns their contributions into measurable, visible impact.
A brain-computer interface neuromarketing system that reads real-time brain reactions to reveal how people engage with visuals.
A mixed-reality system that teaches Thai traditional dance through immersive 3D motion visualization.
An immersive exhibition that guides visitors through memory, belonging, and the emotional meaning of home.
An interactive installation that confronts visitors with temptation and choice in a consequence-free setting.
A drone-assisted AI and IoT system that automates greenhouse irrigation and fertilization using real-time crop-stage recognition.