Recruiting undergraduate researchers! / 학부 연구생 모집 중!
MoMo Lab advances battery/power-aware, learning-driven system software across mobile and mobility systems. As devices absorb new workloads—AI inference, AR/VR, on-device perception—and new hardware—LiDAR, radar, NPUs—the system stack becomes tightly coupled in computation, power, and thermals. Traditional static and rule-based policies fail to capture these cross-component dynamics. To this end, we build next-generation software & platforms that actively learn and exploit cross-component interactions.
Research areas
A. Learning-based system management
B. Batter/power management in mobile/mobility systems
C. System-level supports for mobile user experience
D. Nobel scheduling algorithm & framework
A. EarDVFS (ICCAD 2025)
B. BSSM (RTAS 2025)
C. MixMax (MobiSys 2023)
D. RET (RTSS 2019)
News
[Sep. 2025] MoMo Lab website is now live!