Our mission is to pioneer system-centric AI research that spans a broad spectrum of mobile edge research from energy-efficient hardware to the human-centered applications.
Our core philosophy is to bridge the gap between theoretical AI models and efficient, real-world deployment.
We build AI systems that run efficiently on mobile and embedded devices — from hardware to applications.
Software/Hardware Optimization
Human-Centered Applications
🔔 We are recruiting!
We are looking for motivated Ph.D. and M.S. students and undergraduate interns to join our lab. If you are interested, please contact us.
Our work "VFM in Your Hands: Optimizing Real-Time Scene Understanding for Mobile Augmented Reality" has been featured as a Research Highlight in ACM GetMobile.
The paper "Phoenix: Thermal-Aware On-Device Inference of Multi-Instance DNNs for Mobile Video Applications" has been accepted to ACM TECS!
Jiwon delivered a talk titled "Hierarchical Federated Learning for 6G Edge Computing" at TU Berlin (TKN Group led by Prof. Falko Dressler).
Jiwon will be serving on the TPC for ACM EMSOFT 2026.
Jiwon will be serving on the TPC for ACM MobiSys 2026.