Thomas Kliemt-Rippel

Shujaaz network connects young people with the information, skills and resources they need to take control of their own lives; embedding them in a digital and real-world community that gives them the self-belief to succeed, in their context and on their terms. The HMBA program – An MBA for hustlers-…

Nominated by: BMW Foundation Herbert Quandt Presented by: Priyanka Srinivas

Better medicines faster by automated design. The project integrates constructive artificial intelligence (AI) into the pharmaceutical drug development progress. The central theme is to transfer decision making from the human science manager to a machine intelligence that generates novel molecules with desired properties from scratch. We devise suitable algorithms and…

Nominated by: University of Alberta Presented by: Prof. Jana Rieger

Nominated by: Leibniz Universität Hannover Presented by: Alexander Börgel

Katerina impressed the jury with her work on “Breaking the Wall of Cardiovascular Diseases”. Her idea of a new technology helps doctors improve surgical procedures that are tailored to the needs of each individual patient and provides optimal treatment for cardiovascular diseases.

We are peer to peer learning community platform with the purpose of empowering the next generation of youths in Myanmar towards economics and technological advancement in Myanmar. Tags: Artificial Intelligence, Covid-19, Digitalisation, Education, Robotic.

We create a domain-specific programming language, PVL, which aims to verify program implementations against their specifications via an internal verification engine embedded into PVL compiler. Tags: Engineering, Computer Science, Software Engineering, Safety-Critical Systems.

Julia Leduc, co-founder and CEO of Anymate Me, explains why her start up Anymate me is the future of Video Production for academic and corporate training. Anymate Me is a science-oriented deep tech start-up based in Germany. Our mission is to revolutionize linear, costly and time-consuming video production and editing…

In radiology, how can we reduce the entrance surface dose while keeping the obtained image acceptability for routine radiographic examinations to improve diagnosis quality? Hamza Sekkat uses a phantom and solid-state detector/multisensor to optimize the radiation dose and image quality by selecting image parameters that give an acceptable one with…