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MLCAD Symposium 2025

7th ACM/IEEE International Symposium on Machine Learning for CAD
September 8 to 10, 2025
Chaminade Resort, Santa Cruz, California


Important Dates

Research Papers & Industry Presentations

Research paper abstract due: May 16, 2025 (AOE)
Full manuscript due: May 23, 2025 (AOE)
Notification: July 7, 2025
Camera-Ready Version: July 25, 2025

Industry presentation abstract due: May 23, 2025
Notification: June 27, 2025
Slides submission: August 1, 2025

MLCAD Contest [website]

Registration deadline: April 20, 2025
Submissions: May 30, July 15, and August 10, 2025
Results Announcement: September 2025

TODAES Special Issue (MLCAD 2024)

Submissions deadline: March 5, 2025
First-round review decisions: May 5, 2025
Deadline for revision submissions: June 5, 2025
Notification of final decisions: July 5, 2025
Tentative publication: Summer 2025


Location

@ Chaminade Resort, Santa Cruz, California (Photos credit: logansworldphotography @ Instagram)


Announcements

  • MLCAD contest is open! Check out the details here
  • Submission link through OpenReview is ready here

About

The symposium focuses on Machine Learning (ML) applications to all aspects of CAD for electronic circuits, chips and systems. It is sponsored by IEEE CEDA (Council on Electronic Design Automation) and ACM SIGDA (Special Interest Group on Design Automation).  MLCAD 2025 will start with the welcome reception in the evening of September 7, 2025. Papers and presentations should cover one or more aspects of applying machine learning and AI to enhance CAD of chip designs. Such aspects include, but are not limited to, algorithms, software, models, example applications, benchmarking, and innovative solutions such as Large Language Models for CAD.


Committees

General ChairsJiang Hu, Texas A&M University
Yibo Lin, Peking University
Technical Program ChairsYoungsoo Shin, Korea Advanced Institute of Science & Technology (KAIST)
Cunxi Yu, University of Maryland
Contest ChairVidya A. Chhabria, Arizona State University
Industrial and Special Session ChairVishal Khandelwal, Synopsys
Publication ChairMatthew Guthaus, University of California, Santa Cruz
Strategic Initiatives ChairIgor Markov, Synopsys
Publicity ChairCong “Callie” Hao, Georgia Institute of Technology
Steering CommitteeMarilyn Wolf, University of Nebraska-Lincoln
Paul Franzon, North Carolina State University
Ulf Schlichtmann, Technical University of Munich
Andrew B. Kahng, University of California San Diego
Hussam Amrouch, Technical University of Munich