• Devices and Platforms for Intelligent and Autonomous Systems:
  SoCs for AI — Evolvable and reconfigurable architectures — Architectures for intelligent hardware systems — On-chip learning and adaption — SoCs for intelligent medical diagnosis — Neuromorphic chips — Low-power and low-area SoCs for IoT — SoC for automotive systems — Sensing, Imaging and Vision — In-memory computation — In-sensor processing
• Emerging and Disruptive Technologies:
  Many-core architectures — Data processing units (DPUs) — General purpose GPU (GPGPU) computing — Embedded accelerators — Server on a Chip — Cortical processors — Neuronal and neuromorphic computing — Beyond CMOS solutions —Quantum computing — Cloud infrastructure solutions — Futuristic development and optimization tools.
• Design for Secure and Reliable Systems:
  Hardware-enabled security — Embedded Encryption — Quantum-safe cryptography — Homomorphic encryption — SoC solutions for real-time, high reliability and safety applications — Self-healing SoCs — Soft-error and variation-tolerant design
• Heterogeneous and Many-Core SoC Architectures:
  On-chip interconnect — Network on Chip (NoC) and multicore architectures — Memory architecture for multicore computing — 3D-integration— Heterogeneous computing — High-performance mobile SoCs — Parallel programming and software models
• Circuits and Systems:
  RF, analog, mixed-signal — Biomedical — Wireline & wireless communication — Digital signal processing (DSP) — Memory systems — Reconfigurable and programmable circuits — MEMS and Sensors
• Low Power Design:
  “Green” circuits & systems — Low power methodologies — Power/energy/ thermal aware architecture design — Multi-domain power/energy management — Energy harvesting
• Design Methodologies and Development Flows:
  Heterogeneous design flows — Agile and Feature-Driven HW Development — HW-SW co-design, reconfiguration and debug — System level design methodology and tools — Design validation and verification — Design for Testability, test synthesis, embedded test