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.