Advanced SoC Architectures & Methodology

• DRAM Modeling, exploration of memory architectures, and application specific optimizations
• Memory Controller Design (including PHY)
• Memory characterization
• Memory based PUF
• Timing models for non standard CMOS circuits e.g. PTL

Customized High-Performance Computing/Edge Computing

• Efficient Implementation of ML-Edge Devices (Inference/Training)
  • Applications: OCR, IoT, health, communication, education, environmental monitoring
  • Cross-Layer Approach including neural network search
  • Frameworks
  • Quantization and new data formats
• Efficient Implementation of Postquantum Cryptography alg.

Context Sensitive Systems

• Smart Learning Systems
• Environmental monitoring
• Oil Spill Monitoring
• Forest health