Professor Gaudet's research focuses on high-performance microelectronic circuits for information processing. He has made contributions to the areas of stochastic computing, iterative decoding of error-control codes, and multiple-valued logic.
Research Projects: Information-Processing Microsystems
- Stochastic computing and stochastic decoding
- High-performance iterative decoding (low-density parity-check (LDPC) codes, Turbo codes, low-density lattice codes (LDLC))
- Analog decoding
- Field-programmable gate array (FPGA) and application-specific integrated circuit (ASIC) implementation
- Low-power iterative decoding
Research Projects: Biomedical Engineering
- Machine-learning algorithms for medical image processing
- Circuits for implantable neural recording systems
- Integrated lab-on-chip instrumentation circuitry