Research Interests

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.