DFT is an annual Symposium providing an open forum for presentations in the field of defect and fault tolerance in VLSI and nanotechnology systems inclusive of emerging technologies, RISC-V architectures and AI-based solutions. One of the unique features of this symposium is to combine new academic research with state-of-the-art industrial data, necessary ingredients for significant advances in this field. All aspects of design, manufacturing, test, reliability, availability, and security that are affected by defects during manufacturing and by faults during system operation are of interest. Topics include (but are not limited to) the following:

    1. Yield Analysis and Modeling
    Defect/fault analysis and models; statistical yield modeling; diagnosis; critical area and other metrics.
    2. Testing Techniques
    Built-in self-test; delay fault modeling and diagnosis; testing for analog and mixed circuits; online testing; signal and clock integrity.
    3. Design For Testability in IC Design
    FPGA, SoC, NoC, ASIC, low power design and micro-processors, including RISC-V architectures
    4. Error Detection, Correction, and Recovery
    Self-testing and self-checking solutions; error-control coding; fault masking and avoidance; recovery schemes, space/time redundancy; hw/sw techniques; architectural and system-level techniques.
    5. Dependability Analysis and Validation
    Fault injection techniques and frameworks; dependability and characterization, cross-layer reliability analysis, dependability analysis for AI and machine learning.
    6. Repair, Restructuring and Reconfiguration
    Repairable logic; reconfigurable circuit design; DFT for on-line operation; self-healing; reliable FPGA-based systems.
    7. Defect and Fault Tolerance
    Reliable circuit/system synthesis; fault tolerant processes and design; design space exploration for dependable systems, transient/soft faults.
    8. Radiation effects
    SEEs on nanotechnologies; modeling of radiation environments; radiation experiments; radiation hardening techniques.
    9. Aging and Lifetime Reliability
    Aging characterization and modeling; design and run-time reliability, thermal, and variability management and recovery.
    10. Dependable Applications and Case Studies
    Methodologies and case studies: 2.5D/3D ICs, IoT, automotive/railway/avionics/space, autonomous systems, industrial control, fail-safe systems, dependable AI.
    11. Emerging Technologies
    Error management techniques for quantum computing, memristors, spintronics, microfluidics, approximate computing, etc.
    12. Design for Security
    Fault attacks, fault tolerancebased countermeasures, scan-based attacks and countermeasures, hardware trojans, system obfuscation and logic locking, secure AI, security vs. reliability, interaction between VLSI test, trust, and reliability.