Christopher Heinz (m) graduated as Master of Science in the department of Computer Science at Technische Universität Kaiserslautern. He was working at the German Research Institution for Artificial Intelligence (DFKI), where he was responsible for Image Feature Detection, Image Clustering and GUI Design. Later he joined the Department for “Mathematical Methods in Dynamics and Durability” (MDF) at the Fraunhofer Institute for Industrial Mathematics. After joining Technische Universität Kaiserslautern in 2015, he has since been working on the H2020 Project VICINITY as Researcher and Software Developer and only recently specializes in the applications for Homomorphic Encryption.
Sessions in which Christopher Heinz participates
Monday 17 June, 2019
Privacy in the IoT has becoming a growing concern. A study has even identified it, due to loss of trust of users, as a potential risk for succes. This session gives an overview of the VICINITY IoT platform that is open, free, and that specifically addresses SME and users with privacy concerns. The session gives a broad overview of the VICINITY platform, starting with its general objectives and unique selling points, the P2P architecture, semantic discovery and interoperability, and an ...