52 citations · 60 across the 22 of their papers we have counts for
25 papers
Track-conditioned Residual Frequency Estimation For Low-resolution FMCW Radar
Huy Trinh, George Shaker
Low-resolution FMCW radar normally forms a complete range-Doppler representation before detection and tracking. After association, however, the tracker already predicts the target'…
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…
Lightweight Range-Angle Imaging Based Algorithm for Quasi-Static Human Detection on Low-Cost FMCW Radar
Huy Trinh, George Shaker
Quasi-static human activities such as lying, standing or sitting produce very low Doppler shifts and highly spread radar signatures, making them difficult to detect with convention…
Hemispherical Angular Power Mapping of Installed mmWave Radar Modules Under Realistic Deployment Constraints
Maaz Qureshi, Mohammad Omid Bagheri, William Melek +1
Characterizing the angular radiation behavior of installed millimeter-wave (mmWave) radar modules is increasingly important in practical sensing platforms, where packaging, mountin…
A Physics-Informed Digital Twin Framework for Calibrated Sim-to-Real FMCW Radar Occupancy Estimation
Huy Trinh, Sebastian Ratto, Elliot Creager +1
Learning robust radar perception models directly from real measurements is costly due to the need for controlled experiments, repeated calibration, and extensive annotation. This p…
Doppler-Domain Respiratory Amplification for Semi-Static Human Occupancy Detection Using Low-Resolution SIMO FMCW Radar
Huy Trinh, Elliot Creager, George Shaker
Radar-based sensing is a promising privacy-preserving alternative to cameras and wearables in settings such as long-term care. Yet detecting quasi-static presence (lying, sitting,…
Reliable Quasi-Static Post-Fall Floor-Occupancy Detection Using Low-Cost Millimetre-Wave Radar
Huy Trinh, Phuong Thai, Elliot Creager +1
As the population ages rapidly, long-term care (LTC) facilities across North America face growing pressure to monitor residents safely while keeping staff workload manageable. Fall…
Battery-less Long-Range LTE-M Water Leak Detector
Roshan Nepal, Brandon Brown, Shishangbo Yu +3
This work presents a self powered water leak sensor that eliminates both batteries and local gateways. The design integrates a dual compartment electrochemical harvester, a low inp…
Battery-Free and Gateway-Free Cellular IoT Water Leak Detection System
Roshan Nepal, Brandon Brown, Shishangbo Yu +3
This paper presents a battery-free and gateway-free water leak detection system capable of direct communication over LTE-M (Cat-M1). The system operates solely on energy harvested…
A Lightweight Model-Driven 4D Radar Framework for Pervasive Human Detection in Harsh Conditions
Zhenan Liu, Amir Khajepour, George Shaker
Pervasive sensing in industrial and underground environments is severely constrained by airborne dust, smoke, confined geometry, and metallic structures, which rapidly degrade opti…
Real-Time 4D Radar Perception for Robust Human Detection in Harsh Enclosed Environments
Zhenan Liu, Yaodong Cui, Amir Khajepour +1
This paper introduces a novel methodology for generating controlled, multi-level dust concentrations in a highly cluttered environment representative of harsh, enclosed environment…
Millimeter-Wave Multi-Radar Tracking System Enabled by a Modified GRIN Luneburg Lens for Real-Time Healthcare Monitoring
Mohammad Omid Bagheri, Justin Chow, Josh Visser +2
Multi-beam radar sensing systems are emerging as powerful tools for non-contact motion tracking and vital-sign monitoring in healthcare environments. This paper presents the design…
Automated Angular Received-Power Characterization of Embedded mmWave Transmitters Using Geometry-Calibrated Spatial Sampling
Maaz Qureshi, Mohammad Omid Bagheri, Abdelrahman Elbadrawy +2
This paper presents an automated measurement methodology for angular received-power characterization of embedded millimeter-wave transmitters using geometry-calibrated spatial samp…
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…
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…
Eigenvalue-accelerated LDOS optimization of high-Q optical resonances
George Shaker, Beñat Martinez de Aguirre Jokisch, Pengning Chao +1
We demonstrate a new method that yields orders-of-magnitude acceleration in inverse design (e.g. topology optimization) of high- resonant cavities to maximize the local density…
RAPTAR: Radar Radiation Pattern Acquisition through Automated Collaborative Robotics
Maaz Qureshi, Mohammad Omid Bagheri, Abdelrahman Elbadrawy +2
Accurate characterization of modern on-chip antennas remains challenging, as current probe-station techniques offer limited angular coverage, rely on bespoke hardware, and require…
Towards Long-Range, Battery-less Water Leak Detection: A LoRa-Based Approach
Roshan Nepal, Roozbeh Abbasi, Brandon Brown +3
This paper presents a battery-less, self-powered water leak detection system that utilizes LoRa communication for long-range, real-time monitoring. The system harvests hydroelectri…
Exploring FMCW Radars and Feature Maps for Activity Recognition: A Benchmark Study
Ali Samimi Fard, Mohammadreza Mashhadigholamali, Samaneh Zolfaghari +5
Human Activity Recognition has gained significant attention due to its diverse applications, including ambient assisted living and remote sensing. Wearable sensor-based solutions o…
CRADMap: Applied Distributed Volumetric Mapping with 5G-Connected Multi-Robots and 4D Radar Perception
Maaz Qureshi, Alexander Werner, Zhenan Liu +3
Sparse and feature SLAM methods provide robust camera pose estimation. However, they often fail to capture the level of detail required for inspection and scene awareness tasks. Co…
AI-Powered Non-Contact In-Home Gait Monitoring and Activity Recognition System Based on mm-Wave FMCW Radar and Cloud Computing
Hajar Abedi, Ahmad Ansariyan, Plinio P Morita +3
In this paper, leveraging AI, cloud computing and radar technology, we create intelligent sensing that enables smarter applications to improve people's daily lives.
Robust Wiener filter based time gating method for detection of shallow buried objects
Ali Gharamohammadi, Fereidoon Behnia, Arash Shokouhmand
In detecting shallow buried underground objects, reflected power from ground, i.e. ground surface clutter makes the task extremely difficult. In order to remove ground clutter, con…
Glucose Levels Sensing using Whispering Gallery Modes at mm-Wave Band
Ala Eldin Omer, George Shaker, Safieddin Safavi-Naeini
In this study, an integrated low-cost and complexity mm-wave structure of Whispering Gallery Mode (WGM) is proposed for sensing the glucose levels in mimicking aquatic solutions of…
Triple-Poles Complementary Split Ring Resonator for Sensing Diabetics Glucose Levels at cm-Band
Ala Eldin Omer, George Shaker, Safieddin Safavi-Naeini +3
Microwave sensors are very promising for sensing the blood glucose levels non-invasively for their non-ionizing nature, miniaturized sizing, and low health risks for diabetics. All…