3 papers
quant-ph2026
Digital twins for compact hybrid quantum classical learning in FMCW radar detection
Sebastian Ratto Valderrama, Ahmed N. Sayed, Arien Sligar +3
Frequency-modulated continuous-wave radar sensing often relies on labeled measurements that are costly, restricted, or difficult to collect at scale. This work evaluates physics-in…
quant-ph2026
Indoor Occupancy Classification using a Compact Hybrid Quantum-Classical Model Enabled by a Physics-Informed Radar Digital Twin
Sebastian Ratto, Ahmed N. Sayed, Neda Rojhani +6
Indoor occupancy classification enables privacy-preserving monitoring in settings such as remote elder care, where presence information helps triage alarms without cameras or weara…
eess.SP2026
Radar-Based Fall Detection for Assisted Living: A Digital-Twin Representation Case Study
Sebastian Ratto, Huy Trinh, Ahmed N. Sayed +3
Obtaining data on high-impact falls from older adults is ethically difficult, yet these rare events cause many fall-related health problems. As a result, most radar-based fall dete…