Leader
Objectives
Smart convergence group is pursuing to improve the efficiency and the effectiveness in model-based prediction methods using artificial intelligence in various engineering fields. Our research is ranging from the scientific to the practical, where artificial intelligence is not yet widely applied, but potential to enhance the performance.
R&D Fields
- 1. Deep Learning Applications
- - Toxicity prediction: QSAR and behavior patterns in the non-animal testing
- - Cell and medical image segmentation
- - Motor faults diagnosis and prognosis
- - Worker's intensity recognition in the collaborative robotics
- 2. Data augmentation in data imbalance
- - Generative Adversarial Networks for the minority class augmentation
- - Feature augmentation with interpretable machine learning
Research Area

Members
Name | Position | Tel | |
---|---|---|---|
Dr. Juyoung Yoon | Research Coordinator | +49-(0)681-9382-328 | |
Dr. Young Jun Kim | Research Coordinator | +49-(0)681-9382-327 | |
Dr. Sangwon Kim | Research Coordinator | +49-(0)681-9382-348 | |
Jae-Sun Byun | Principal Researcher | +49-(0)681-9382-300 | |
Dr. Jeongho Seo | Project Leader | +49-(0)681-9382-364 | |
Dr. Matthias Altmeyer | Strategy & Collab. Specialist | +49-(0)681-9382-381 | |
Dr. Soochoel Choi | Postdoc | +49-(0)681-9382-426 | |
Dr. Amir Haghipour | Postdoc | +49-(0)681-9382-365 | |
Sabrina Lehnert | Administrator | +49-(0)681-9382-102 | |
Subin Jang | Research Assistant | +49-(0)681-9382-380 |