VLSI

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.