Naushad Rahman

Leading development of physics-informed digital twin and control frameworks for mission-critical infrastructure. Work spans control systems, simulation environments, telemetry analysis, and AI-driven operational decision support.

CTO of a Singapore-based deep-tech venture incubated under A*STAR, leading development of intelligent hardware platforms including non-invasive vital detection devices with 50% market adoption in Singapore. Advanced applications into sleep apnea detection and progression toward medical device recognition.

• Collaborated with a Stanford research lab to develop simulation and control algorithms for autonomous space rendezvous and proximity operations. • Built high-fidelity simulation models to validate guidance, navigation, and control (GNC) concepts and demonstrate technical feasibility to stakeholders.

• Architected and implemented complete spacecraft attitude determination and control systems (ADCS), including control law design and EKF-based state estimation. • Ensured fault-tolerant stability across mission scenarios, supporting reliable on-orbit operations.

• Designed and implemented automation interfaces between production test systems and robotic handlers, improving manufacturing reliability and throughput. • Developed automated validation and chip sorting workflows to reduce errors and increase operational efficiency.

Developed image processing tools for automated cellular and nuclei analysis, supporting high-accuracy research workflows.

• Developed and maintained enterprise web applications with high-availability and secure digital signature implementations. • Designed and deployed web services supporting scalable, cross-platform data exchange.

Focused on perception, sensor fusion, control systems, and autonomous navigation.