Oleksandr Tkachenko

Oleksandr Tkachenko holds a PhD from the Technical University of Darmstadt (2022) and is actively engaged in research at the intersection of cryptography, secure computation, and data privacy. His work focuses on advancing practical applications of multi-party computation (MPC), privacy-preserving techniques, and front-end security in web technologies.

Key contributions include the development of frameworks like MOTION and FUSE for efficient MPC implementations, as well as secure aggregation methods for federated learning (ScionFL). He has also explored polynomial maximization techniques for statistical estimation and privacy-preserving genomic analysis.

Collaborations with institutions like TU Darmstadt and co-authors such as Thomas Schneider and Christian Weinert highlight his interdisciplinary approach. His publications span venues like ACM Transactions on Privacy and Security, IEEE ARES, and the Automation conference series, reflecting expertise in both theoretical and applied aspects of cryptography.