Loop of knowledge

He participated in the TUM-DI-LAB project "End-To-End Learning AI". He is currently working as ML Engineer at Alyne. In summer semester 2022 he join us as Mentor of the project Enterprise Risk Autopilot. Email: egor.labintcev@alyne.com

He participated in the TUM-DI-LAB project "Driver distraction detection with Deep Learning". He is currently working as Computer Vision engineer for automated driving at Robert Bosch GmbH. In winter semester 2021 he join us as Mentor of the project Parking Space Detection with Deep Learning. In previous semesters he mentored the project(s) Multi-lane Detection in Urban Scenarios with Deep Learning sponsored by Robert Bosch GmbH. Email: Nikolay.Kadrileev@de.bosch.com

She participated in TUM-DI-LAB project "Predictive Process Management for aircraft MRO" in summer 2020. Since then she supports the TUM-based startup Design AI GmbH and co-mentors the TUM-DI-LAB project Active Scene Understanding for Video Labeling in winter semester 2020. In summer semester 2021 Design AI offers the project Human-in-the-loop Video Mining Email: lisa.bernhardt@design-ai.de

He participated in the TUM-DI-LAB project "Machine learning powered Process Mining". Since then, he co-founded Design AI GmbH that develops cutting edge machine learning solutions by combining Design Thinking and Artificial Intelligence. In winter semester 2020, he joined us as a mentor of the project Active Scene Understanding for Video Labeling. In summer semester 2021 Design AI offers the project Human-in-the-loop Video Mining Email: keesiu.wong@design-ai.de

He participated in the TUM-DI-LAB project Social Media Analytics. For summer semester 2020 he joins us as Mentor with his own project Using NLP for Adaptive Fact Extraction and Text Summarization sponsored by Faktual, the startup where he is co-founder! Email: abraham.duplaa@faktual.de

She participated in the TUM-DI-LAB project Climate change and health in 2017. For summer semester 2020 she joins us as Mentor with her own project AI based monitoring of public parking spaces sponsored by the company .msg where she currently works as a Data Scientist. E-Mail: tanja.pfaffel@msg.group.

She participated in the TUM-DI-LAB project Advanced longitudinal analysis of repeated blood marker measurements in 2018. She is currently a doctoral candidate at the TUM Professorship of Applied Mathematical Statistics. In summer semester 2020 she joins us as Co-Mentor of the project Deep Learning in CFD sponsored by BMW. E-Mail: m.tepegjozova@tum.de