• Green AI for Ubiquitous Computing

• Diversity and Inclusion in VLSI

• Heterogeneous Integration

• Computer arithmetic

• Cryptography

• Compression

• Network processing

• Signal and image processing

• Reconfigurable computing (FPGAs, CGRAs, etc.)

• Application-specific instruction-set processors

• Hardware and reconfigurable accelerators

• Embedded systems and domain-specific solutions

• Approximate computing

• Heterogeneous computing, ranging from embedded to HPC systems and data centers

• Cloud computing infrastructures and acceleration

• Edge computing, wireless, mobile, and IoT systems

• Hardware and software architectures for CPS

• AI architectures, acceleration of machine learning (custom designs or based on FPGAs, GPUs, TPUs)

• Autonomous computing systems

• Design methods, tools, and compilers

• Simulation and prototyping (e.g., validation, performance analysis)

• System quality attributes (energy efficiency, fault tolerance, security, etc.)

• Accelerators for computational genomics, finance, big data, and other complex workloads

• Emerging technologies