Mikhail Babenko
Papers
1
Total Citations
6
H-Index
1
About
Mikhail Babenko’s research lies at the intersection of cryptography, secure computation, and control systems, with a particular focus on homomorphic encryption and its real-world applications. His most-cited work, “Towards the Sign Function Best Approximation for Secure Outsourced Computations and Control” (2022, 6 citations), addresses a critical challenge in cloud-based robotics: enabling efficient computation over encrypted data without exposing sensitive information. By developing novel approximations of the sign function, Babenko’s contributions allow control algorithms to operate securely in outsourced environments, paving the way for privacy-preserving robotic systems. His work is especially relevant to the fast-growing field of robot control, where secure, real-time decision-making is essential. Though early in his career, Babenko’s targeted innovations in homomorphic encryption are gaining traction among researchers working on secure cloud computing and cyber-physical systems. His efforts bridge theoretical cryptography with practical engineering, offering a foundation for future advances in secure outsourced control and computation.
Research Focus
Key Achievements
Top Papers
- 1