Interdisziplinäres Zentrum Machine Learning and Data Analytics

DAAD RISE Students welcome

08.06.2026|17:33 Uhr

Transformers for machine design, deep reinforcement learning for scheduling, 3D object detection for autonomous driving, Vision Transformers for anomaly detection: four research questions, four students, one summer.

Through the DAAD RISE program, four students from North America recently joined our Industrial Deep Learning (IDL) group. For the coming weeks they're working directly alongside our doctoral researchers, each on a real research question from our ongoing work.

→ Rafia S. (Carleton University, Canada) is exploring transformer-based approaches to AI-assisted machine design, within our GenISys project, supervised by Antonin Königsfeld.

→ Cristina Lopez Mendoza (Mount Holyoke College, USA) is evaluating how state-of-the-art deep reinforcement learning models for flexible job-shop scheduling hold up when the problem itself shifts, e.g. under changing processing-time distributions, supervised by Dustin Moreira Simoes.

→ Gihwan Jung (Saint Louis University, USA) is working on adversarial data augmentation for 3D object detection in autonomous driving, supervised by Adwait Chandorkar

→ James Bui (Denison University, USA) is exploring Vision Transformers on orthographic projections of camera images onto CAD objects for defect and anomaly detection, supervised by Robert Maack.

Across visual perception and sequential decision-making, two of IDL's core focus areas, the four bring fresh questions. Also, our researchers sharpen their own thinking by explaining their work to someone seeing it for the first time. That exchange is what makes these weeks worth it on both sides.

Thanks to the DAAD RISE program for enabling this kind of international research collaboration, and welcome to Wuppertal!