Dong Seok Im
Papers
1
Total Citations
4
H-Index
1
About
Dong Seok Im is a researcher at the forefront of energy-efficient deep neural network (DNN) hardware design, with a specialized focus on enabling natural human-robot interaction (HRI) in mobile and embedded devices. His most cited work introduces a groundbreaking variable bit precision DNN processor that operates from 1b to 16b, achieving significant energy savings through a novel look-up-table-based processing engine (LPE) and a near-zero skipper. This processor is uniquely tailored for emotional HRI systems, integrating a CNN-based facial emotion recognition model with an RNN-based emotional dialogue generation model to create more intuitive and responsive interactions between humans and robots. While his citation count is still growing, Im’s contributions are notable for bridging the gap between advanced AI algorithms and practical, low-power hardware implementations—a critical challenge for deploying intelligent systems in resource-constrained environments. His work exemplifies the intersection of efficient computing and affective computing, paving the way for emotionally aware robots that can operate within the tight power budgets of mobile devices.
Research Focus
Key Achievements
Top Papers
- 1