TODAES is a premier ACM journal in design and automation of electronic systems. It publishes innovative work documenting significant research and development advances on the specification, design, analysis, simulation, testing, and evaluation of electronic systems, emphasizing a computer science/engineering orientation. Design automation for machine learning/AI and machine learning/AI for design automation are very much welcomed.

Topics of interest to TODAES include, but are not limited to:

Architecture- and System-Level Design and Automation
Specification, modeling, analysis and simulation
Hardware-software co-design
Design for in- and near-memory computing
Circuit- and Logic-Level Design and Automation
Analog/digital design, analysis, and simulation
Logic, RTL, behavioral synthesis, and FPGA synthesis
Embedded and Cyber-physical System Design and Automation
Embedded system and reconfigurable system architectures
Embedded storage and I/O systems
Real-time, reliable and dependable computing systems
Emerging Technology and Platform based Design and Automation
New/emerging technologies and CAD applications (e.g., bio/photonic/spintronic/ferroelectric device based computing)
Quantum computing
Machine Learning for Design Automation and Design Automation for Machine Learning
Machine learning techniques for design automation
Accelerator architectures and systems for machine learning applications
Algorithm and hardware co-design for machine learning
Physical Design and Design for Manufacturability
Physical design
Design for manufacturability and yield
Signal/power integrity
Reliability, Verification and Test
Robustness and reliability
Simulation, validation, and formal verification
Testing and design for testability
Fault-tolerant computing
Security for Electronic Systems
Hardware security
Software security
Embedded and cross-layer security
Machine Learning techniques to enhance security