PhD Forum CFP

Call for Participation


DAC Ph.D. Forum

Virtual | Dec 6

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. It enables the industry and other academicians to see latest top academic work and have access to best graduating students in one place. Participation in the forum is through a scientific evaluation by an expert committee consisting of academia and industry. The forum is open to all members of the design automation community and is free-of-charge. It is virtually co-located with DAC; DAC registration is not required in order to attend this event.


Session I – December 6, 2021 10AM-11AM Pacific Time

1.1M.SALAH: Mechanism for Simulation-Assisted Layout PArtitioning and Analysis of HotspotsSherif Mousa
1.2Fully Automated High Power Amplifier Design: From Transistor Selection to Post-layout GenerationLida Kouhalvandi
1.3Designing Data-Aware Network-on-Chip for PerformanceAbhijit Das
1.4Pre and Post Silicon Verification Techniques for Analog and Mixed Signal CircuitsSayandeep Sanyal
1.5Ultra-Fast Temperature Estimation Methods for Architecture-Level Thermal ModelingHameedah Sultan
1.6Hardware-Software Co-Design for Emerging WorkloadsDiksha Moolchandani
1.7Leakage Aware Dynamic Thermal Management for 3D Memory ArchitecturesLokesh Siddhu
1.8Architectural-Space Exploration of Energy-Efficient Approximate Arithmetic Units for Error-Tolerant ApplicationsHaroon Waris
1.9Novel Attack and Defense Strategies for Enahcned Logic Locking SecurityLilas Alrahis

Session II – December 6, 2021 11AM-Noon Pacific Time

2.1Proving Correctness of Industrial Multipliers using Symbolic Computer AlgebraAlireza Mahzoon
2.2Resilience and Energy-Efficiency for Deep Learning and Spiking Neural Networks for Embedded SystemsRachmad Vidya Wicaksana Putra
2.3Robust and Energy-Efficient Deep Learning SystemsMuhammad Abdullah Hanif
2.4Personalized Deep Learning for Patient-Specific Physiological Monitoring in IoTZhenge Jia
2.5Network-on-Chip Performance Analysis and Optimization for Deep Learning ApplicationsSumit Kumar Mandal
2.6Efficient, Mixed Precision In-Memory Deep learning at the EdgeShamma Nasrin
2.7Design of ML-based and Open Source EDA for Power Delivery Network Synthesis and AnalysisVidya A. Chhabria
2.8Cross-Layer Techniques for Energy-Efficiency and Resiliency of Advanced Machine Learning ArchitecturesAlberto Marchisio
2.9Machine Learning Algorithms in Electronics Design AutomationZhiyao Xie
2.10Efficient Stochastic Computing Machine Learning Acceleration at the EdgeWojciech Romaszkan

Session III – December 6, 2021 12PM-1PM Pacific Time

3.1Designing Obfuscated Systems for Enhanced Hardware-Oriented SecurityMichael Zuzak
3.2Designing Approximate Accelerators, AutomaticallyJorge Castro-Godínez
3.3Breaking the Energy Cage of Insect-scale Autonomous Drones: Interplay of Probabilistic Hardware and Co-designed AlgorithmsPriyesh Shukla
3.4Modeling and Optimization of Next-Generation AI Accelerators under UncertaintiesSanmitra Banerjee
3.5Hardware-Software Codesign of Silicon Photonic AI AcceleratorsFebin Sunny
3.6High-performance Spectral Methods for HypergraphsAli Aghdaei
3.7Low-Power Unary Computing ArchitectureDi Wu
3.8Intrinsic Authentication at IoT Edge Nodes using Spatial and Temporal SignaturesAhish Shylendra
3.9Secure and Usable Zero-interaction Pairing and Authentication Methods for the Internet-of-ThingsKyuin Lee
3.10Energy-Quality Scalable Hardware and Software Solutions for Energy-Efficient Approximate ComputingSetareh Behroozi


  • Dissertation topic must be relevant to the DAC community.
  • 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 2020-2021 academic year. Students closer to graduation will have higher priority since the rest of the students can attend a future Ph.D. Forum with more mature results.
  • 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.
  • Previous DAC SIGDA Ph.D. forum presenters are not eligible.

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 (not limited by)

  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. Printable and flexible hybrid electronics (FHE)
  15. 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. Topaloglu ( Please include “DAC Ph.D Forum” in the subject line of your email.

Organizing Committee

Rasit Topaloglu, IBM (Chair)

Iris Hui-Ru Jiang, National Taiwan University

Robert Wille, Johannes Kepler University, Linz

Jingtong Hu (SIGDA Representative), University of Pittsburgh

Program Committee

CristinelAbabeiMarquette University
AteetBhallaIndependent Technology Consultant, India
Rajat SubhraChakrabortyAssociate Professor, Dept. of CSE, IIT Kharagpur
XiaomingChenInstitute of Computing Technology, Chinese Academy of Sciences
LiDuUniversity of California, Los Angeles
Shao-YunFangNational Taiwan University of Science and Technology
Hui-RuJiangNational Taiwan University
RyanKimColorado State University
YounghyunKimUniversity of Wisconsin-Madison
BingLiTechnical University of Munich
PreetiPandaIndian Institute of Technology Delhi
SudeepPasrichaColorado State University
EmreSalmanStony Brook University
HassanSalmaniHoward University
KorkutTokgozTokyo Institute of Technology
Rasit OnurTopalogluIBM
MiroslavVelevAries Design Automation
RobertWilleJohannes Kepler University Linz
JiangXuHong Kong Universtiy of Science and Technology
Cindy YangYiVirginia Tech
WeiZhangThe Hong Kong University of Science and Technology