Doctoral Candidates

Curriculum Vitae

Johannes Sedlmeir graduated from the Gymnasium Friedberg in 2011. He then began studying physics at the Technical University of Munich, but after one year changed subject and location and finally completed his bachelor’s degree in mathematics with a minor in physics at the University of Augsburg in 2015. He then studied in the Elite Master Course “Theoretical and Mathematical Physics” in Munich, where he focused on mathematical quantum mechanics. He graduated with distinction in the summer of 2018. In his master thesis, Mr. Sedlmeir dealt with the mathematical (statistical) justification of the Vlasov equation. Mr. Sedlmeir gained practical work and programming experience in a six-month internship followed by one year as a working student at the Technology&Innovation department of the SGL Group in Meitingen in the field of modeling and optimization. In addition, he worked as a tutor in numerous courses at the university and gave high school and secondary school graduation courses as well as online tutorials in mathematics for the STARK publishing house at the City-Kolleg Munich. In March 2018, he began his work as a research assistant at FIM Research Center and moved to Bayreuth to continue as a Doctoral Candidate in September 2018. Since then, he has been involved in the Kopernikus project “Synergy”, which investigates and promotes the flexibility of industry with regard to electricity demand, focusing on the programming of an optimization tool for the temporal use of flexibility. In addition, he was co-author of the Fraunhofer FIT Blockchain basic report for the German Federal Ministry of Transport and Digital Infrastructure, which was published in May 2019. Since then, he has been advising a German car manufacturer on various issues in the context of blockchain technology.

Main Research

In his research, Mr. Sedlmeir mainly focuses on the modelling and optimal use of demand-related flexibilities (demand side management) in the electricity market as well as various topics around the blockchain technology. The latter include in particular the benchmarking of blockchains, decentralized or self-sufficient digital identities as well as generally advanced methods of modern cryptography, e.g. Secure Multiparty Computation and Zero Knowledge Proofs.

Publications