Energy-Eﬃcient Circuit Design with an emphasis on:
- Subthreshold and near-threshold digital design of circuits and systems
- Library development, characterization, and selection for optimal operation.
- Approximate, signiﬁcance-driven computing
- Error-resilient circuits and systems
- Eﬃcient physical implementation methodologies for low-power
- Alternative, low-power variation tolerant logic families and digital gates
- Asynchronous circuits and components
- Feedback in digital systems
- Low-power image sensors and sensor arrays
VLSI Memory with a focus on energy eﬃciency, leakage reduction, stability, robustness, and yield improvement, and in-memory computing, including:
- SRAM design for low-voltage, low-power operation, data retention voltage analysis, static and dynamic noise margins and stability, dealing with process variations and radiation noise, and internal feedback mechanisms.
- Embedded DRAM design, as an alternative for SRAM in low-power embedded systems, such as biomedical sensors, and in high bandwidth systems.
- Novel in-memory computing architectures and techniques for Artificial Intelligence applications.
- Integration of memory with on-chip sensors, including peripheral sharing for power and area reduction.
- Development of alternative memories: FeRAM, PCM, MRAM, Memristors, CNT/Graphene based mem-ory, etc.
Engineering Education, including methods for improvement of engineering pedagogy in Israel, implementation of knowledge conservation systems in research centers, and eﬃcient integration of e-learning into university courses.