"AI For Good via Accessible, Scalable, and Reliable Intelligence"
We have participated in a wide range of government-funded research and education programs spanning artificial intelligence, big data systems, model efficiency, explainable AI, and mobility analytics.
A national graduate education program for fostering advanced researchers in AI convergence through interdisciplinary education and industry–university collaboration.
A Basic Research Laboratory program for developing digital human technologies based on the representation and analysis of human behavioral information.
This project studied how learned knowledge can be interactively queried from deep neural networks for accessible and user-oriented explainable AI services.
A national program supporting AI convergence research, advanced education, and industry collaboration at Inha University.
This project developed methods for dynamically partitioning and merging deep neural networks for efficient real-time inference on embedded devices.
This project developed mobile edge-cloud technologies for intelligent and connected vehicle services.
This project studied scalable technologies for real-time analysis of movement data generated by autonomous transportation systems.
This project developed resource-aware cloud computing methods for improving the efficiency of large-scale big data processing.