- Energy Scalable Radio Design: for Pulsed UWB Communication and Ranging
- Embedded Deep Learning: Algorithms, Architectures and Circuits for Always-on Neural Network Processing
- Hardware-Aware Probabilistic Machine Learning Models: Learning, Inference and Use Cases
- Efficient Execution of Irregular Dataflow Graphs: Hardware/Software Co-optimization for Probabilistic AI and Sparse Linear Algebra
- Towards Heterogeneous Multi-core Systems-on-Chip for Edge Machine Learning: Journey from Single-core Acceleration to Multi-core Heterogeneous Systems