Our research focuses on statistical signal processing, radar systems and machine learning with applications in autonomous driving, digital health and industrial robotics. Research topics include radar signal processing, such as radar waveform optimization, sparse antenna array design and optimization, high resolution spectrum estimation algorithms, radar interference detection and elimination (RIDE). The laboratory also works on the design and prototyping of high-resolution imaging radar systems for environmental perception, radar machine learning and sensor fusion.