The Virtual MLCAD workshop focuses on Machine Learning (ML) methods for all aspects of CAD and electronic system design. The predecessor of this workshop series was held at the Design, Automation and Test in Europe (DATE) Conference in March 2019, followed by the inaugural regular workshop in Banff, Canada, in September 2019. The workshop is sponsored by both IEEE Council on Electronic Design Automation (CEDA) and ACM Special Interest Group on Design Automation (SIGDA).

Sponsor Type:1; 9


General Chair 

Raviv Gal, IBM Research, Haifa

General Vice Chair 

Paul Franzon, North Carolina State University

Technical Program Chairs 

Hai (Helen) Li, Duke University

Technical Program Vice chair 

Avi Ziv, IBM Research, Haifa

Special Session Chair 

Hussam Amrouch, University of Stuttgart

Finance Chair 

Yibo Lin, Peking University

Publicity Chair 

Haoxing Ren, Nvidia Research, Austin

Call for paper

Important date

Draft paper submission deadline
Draft paper acceptance notification

Submission Topics

Topics of interest to this workshop include but are not limited to:

• ML for system-level design  

• ML approaches to logic design  

• ML for physical design

• ML for analog design

• ML for analog design

• ML for Design Technology Co-Optimization (DTCO)

• ML methods to predict aging and reliability

• Labeled and unlabeled data in ML for CAD

• ML techniques for resource management in many cores

• ML for Verification and Validation

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Important Date
  • Conference Date

    Sep 01



    Sep 02


  • May 16 2021

    Draft paper submission deadline

  • Jul 02 2021

    Draft Paper Acceptance Notification

Sponsored By
Association for Computing Machinery Special Interest Group on Design Automation - ACM SIGDA IEEE Council on Electronic Design Automation
Contact Information
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