Prof. Dr. Christoph Studer

Research area

The research of the Integrated Information Processing (IIP) Group, led by Prof. Christoph Studer, is at the intersection of wireless communication, machine learning, digital signal processing, numerical optimization, and integrated circuit design. The overarching theme is the development of novel algorithms for applications that demand high throughput, low power, and best solution quality, and the integration of hardware accelerators into efficient microchips. To arrive at best-in-class circuit designs, the group jointly considers theory, algorithm development, and hardware implementation aspects, which enables far more efficient solutions than conventional, atomistic design approaches that solely focus either on theory, algorithms, or on circuit design.

The group’s research activities are in beyond-fifth-generation (B5G) multi-antenna wireless communication systems, simultaneous sensing and communication (SISCO), positioning with wireless signals (including privacy aspects), analog-to-feature (A2F) conversion for low-power signal classification, (non-)convex optimization for digital signal processing, and hardware-efficient machine learning in the realm of wireless systems. In all of these fields, the group leverages a wide range of mathematical tools, including convex and non-convex optimization, sparse signal recovery and compressive sensing, graphical models and message passing, Bayesian inference, nonparametric estimation, Monte-Carlo methods, supervised and self-supervised deep learning, dimensionality reduction, and manifold learning. Furthermore, insights gained from the hardware prototypes often inspire new theories and algorithms.

Please visit our group's website for more details.