Dongkyu Lee (Integrated Ph.D. Course)received his B.S. Degree (Summa Cum Laude) in Electronics Engineering at Kyungpook National University, Daegu, Korea in 2018. His research interests include high-performance acceleration with user behavior-based learning edge system. For the basis of intelligent edge system study, his research focused on designing energy-efficient cloud-connected processors in VLSI chip level using on-demand remote code execution, that can pervasively accelerate lots of services. Currently, he is focusing on energy-efficient, on-demand, real-time hardware acceleration based system, that can handle large amount of data occurring at the edge devices. He is pursuing toward obtaining his Ph.D. degree in KNU. He published several journal/conference papers in cloud-connected IoT software and hardware architecture.