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About

Kiminao Kogiso is a researcher working at the intersection of control systems engineering, cybersecurity, and medical imaging technology. His work spans two compelling domains: the development of intelligent diagnostic tools and the design of cryptographically secure control systems for networked robotics. Kogiso has made notable contributions to encrypted control theory, particularly through the application of homomorphic encryption to state-feedback control systems. His research on dynamic quantizer synthesis addresses a fundamental challenge in encrypted control — maintaining system stability while operating entirely within the encrypted domain. By characterizing both additive and multiplicative quantizer designs, he has helped establish essential theoretical conditions for secure, stable control, work that has garnered meaningful attention with 5 citations since 2022. His investigations into bilateral teleoperation security are equally significant. By developing encrypted four-channel bilateral control architectures and proposing methods to detect and cancel multiplicative false data injection attacks, Kogiso advances the practical safety of remote robotic systems — a timely contribution as teleoperation technology expands into healthcare and hazardous environments. Additionally, his involvement in AI-assisted ultrasound diagnostics for kidney evaluation reflects a breadth of applied research vision. With a growing citation record across multiple cutting-edge fields, Kogiso represents an emerging voice in secure and intelligent systems engineering.