2019 PhD Forum at DAC

Call for Submissions

The Ph.D. Forum at the Design Automation Conference is a poster session hosted by ACM SIGDA for Ph.D. students to present and discuss their dissertation research with people in the EDA community. It has become one of the premier forums for Ph.D. students in design automation to get feedback on their research and for industry to see academic work in progress: hundreds of people attended the last forums. Participation in the forum is competitive with acceptance rate of around 30%. Limited funds will be available for travel assistance, based on financial needs. The forum is open to all members of the design automation community and is free-of-charge. It is co-located with DAC to attract the large DAC audience, but DAC registration is not required in order to attend this event. 


  • Students with at least one published or accepted conference, symposium or journal paper.
  • Students within 1-2 years of dissertation completion and students who have completed their dissertation during the 2018-2019 academic year.
  • Dissertation topic must be relevant to the DAC community.
  • Previous forum presenters are not eligible.
  • Students who have presented previously at the DATE and ASP-DAC Ph.D. forums are eligible, but will be less likely to receive travel assistance.

Important Dates

Submission Requirements

  • A two-page PDF abstract of the dissertation (in two-column format, using 10-11 pt. fonts and single-spaced lines), including name, institution, advisor, contact information, estimated (or actual) graduation date, whether the work has been presented at ASP-DAC Ph.D. Forum or DATE Ph.D. Forum, as well as figures, and bibliography (if applicable). The two-page limit on the abstract will be strictly enforced: any material beyond the second page will be truncated before sending to the reviewers. Please include a description of the supporting paper, including the publication forum. A list of all papers authored or co-authored by the student, related to the dissertation topic and included in the two-page abstract, will strengthen the submission.
  • A published (or accepted) paper, in support of the submitted dissertation abstract. The paper must be related to the dissertation topic and the publication forum must have a valid ISBN number. It will be helpful, but is not required, to include your name and the publication forum on the first page of the paper. Papers on topics unrelated to the dissertation abstract or not yet accepted will not be considered during the review process.

Please Note:

  • The abstract is the key part of your submission. Write the abstract for someone familiar with your technical area, but entirely unfamiliar with your work. Clearly indicate the motivation of your Ph.D. dissertation topic, the uniqueness of your approach, as well as the potential impact your approach may have on the topic.
  • In the beginning of the abstract, please indicate to which track your submission belongs to.
  • Proper spelling, grammar, and coherent organization are critical: remember that the two pages may be the only information about yourself and your PhD research available to the reviewers.
  • All submissions must be made electronically.
  • Please include the supporting paper with the abstract in one PDF file and submit the single file. There are many free utilities available online which can merge multiple PDF files into a single file if necessary.

Topics of Interest

  1. System-level Design, Synthesis and Optimization (including network-on-chip, system-on-chip and multi/many-core, HW/SW co-design, embedded software issues, modeling and simulation)
  2. Internet of Things (IoT)
  3. Autonomous Systems
  4. High Level Synthesis, Logic Level Synthesis
  5. Power and Reliability Analysis and Optimization (including power management from system level to circuit level, thermal management, process variability management)
  6. Timing Analysis, Circuit and Interconnect Simulation
  7. Physical Design and Manufacturability
  8. Signal Integrity and Design Reliability
  9. Verification, Testing, Pre- and Post-Silicon Validation, Failure Analysis
  10. Reconfigurable and Adaptive Systems
  11. Analog/Mixed Signals and RF
  12. Hardware Security
  13. Machine learning/AI
  14. Emerging Design, Technologies, and Computing Methods (carbon nanotubes, molecular electronics, MEMS, microfluidic system, biologically-inspired systems, quantum computing, etc.)

Contact Information

For questions not addressed on this page, please send e-mail to Dr. Hai Li:(hai.li@duke.edu) or Dr. Ogras (umit@asu.edu). Please include "DAC Ph.D Forum" in the subject line of your email.

Organizing Committee

Hai Li, Duke University (Chair)
Umit Ogras, Arizona State University
Rasit Topaloglu, IBM
Yiyu Shi, University of Notre Dame (SIGDA Representative)