Usama Saqib

I am a postdoctoral researcher in the SQUARE group at the IT University of Copenhagen (ITU). I received my Ph.D. in signal processing from Aalborg University, Denmark, in 2021, after an M.Sc. in Embedded Systems Engineering (2015) and a B.Sc. in Electrical Engineering (2011).

My research lies at the intersection of statistical signal processing, robot audition, and autonomous systems. I develop model-based and learning-based methods that let robots perceive their surroundings through sound, with a focus on acoustic echoes and reflector localization for spatial map construction.

Research

Underwater localization

Where is an underwater vehicle, without anything installed on the seabed?

In this paper, we develop receiver-passive 3-D localization of autonomous underwater vehicles from a floating buoy with a hydrophone array, and I study how odometry should be scored when estimators report their own uncertainty.

Learning

What can machine learning add to model-based acoustic perception?

We explore machine learning frameworks for acoustic reflector mapping that complement the statistical models developed during my Ph.D.

Echo estimation

How can a robot recover where sound reflections come from?

In this paper, we estimate times and directions of arrival of acoustic echoes using model-based statistical methods, including expectation-maximization, even in the presence of the robot's own ego-noise.

Spatial mapping

Can echoes alone build a map of a room?

In this paper, we turn estimated echoes into acoustic reflector positions and spatial maps for robotic platforms, a topic that was also the subject of my Ph.D. thesis.

Recent publications

All publications

Talks