Call for Participation
ACM SIGDA/IEEE CEDA Ph.D. Forum at DAC 2021 https://www.sigda.org/sigda-events/phd-forum/
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.
Program
Session I – December 6, 2021 10AM-11AM Pacific Time
| 1.1 | M.SALAH: Mechanism for Simulation-Assisted Layout PArtitioning and Analysis of Hotspots | Sherif Mousa |
| 1.2 | Fully Automated High Power Amplifier Design: From Transistor Selection to Post-layout Generation | Lida Kouhalvandi |
| 1.3 | Designing Data-Aware Network-on-Chip for Performance | Abhijit Das |
| 1.4 | Pre and Post Silicon Verification Techniques for Analog and Mixed Signal Circuits | Sayandeep Sanyal |
| 1.5 | Ultra-Fast Temperature Estimation Methods for Architecture-Level Thermal Modeling | Hameedah Sultan |
| 1.6 | Hardware-Software Co-Design for Emerging Workloads | Diksha Moolchandani |
| 1.7 | Leakage Aware Dynamic Thermal Management for 3D Memory Architectures | Lokesh Siddhu |
| 1.8 | Architectural-Space Exploration of Energy-Efficient Approximate Arithmetic Units for Error-Tolerant Applications | Haroon Waris |
| 1.9 | Novel Attack and Defense Strategies for Enahcned Logic Locking Security | Lilas Alrahis |
Session II – December 6, 2021 11AM-Noon Pacific Time
| 2.1 | Proving Correctness of Industrial Multipliers using Symbolic Computer Algebra | Alireza Mahzoon |
| 2.2 | Resilience and Energy-Efficiency for Deep Learning and Spiking Neural Networks for Embedded Systems | Rachmad Vidya Wicaksana Putra |
| 2.3 | Robust and Energy-Efficient Deep Learning Systems | Muhammad Abdullah Hanif |
| 2.4 | Personalized Deep Learning for Patient-Specific Physiological Monitoring in IoT | Zhenge Jia |
| 2.5 | Network-on-Chip Performance Analysis and Optimization for Deep Learning Applications | Sumit Kumar Mandal |
| 2.6 | Efficient, Mixed Precision In-Memory Deep learning at the Edge | Shamma Nasrin |
| 2.7 | Design of ML-based and Open Source EDA for Power Delivery Network Synthesis and Analysis | Vidya A. Chhabria |
| 2.8 | Cross-Layer Techniques for Energy-Efficiency and Resiliency of Advanced Machine Learning Architectures | Alberto Marchisio |
| 2.9 | Machine Learning Algorithms in Electronics Design Automation | Zhiyao Xie |
| 2.10 | Efficient Stochastic Computing Machine Learning Acceleration at the Edge | Wojciech Romaszkan |
Session III – December 6, 2021 12PM-1PM Pacific Time
| 3.1 | Designing Obfuscated Systems for Enhanced Hardware-Oriented Security | Michael Zuzak |
| 3.2 | Designing Approximate Accelerators, Automatically | Jorge Castro-Godínez |
| 3.3 | Breaking the Energy Cage of Insect-scale Autonomous Drones: Interplay of Probabilistic Hardware and Co-designed Algorithms | Priyesh Shukla |
| 3.4 | Modeling and Optimization of Next-Generation AI Accelerators under Uncertainties | Sanmitra Banerjee |
| 3.5 | Hardware-Software Codesign of Silicon Photonic AI Accelerators | Febin Sunny |
| 3.6 | High-performance Spectral Methods for Hypergraphs | Ali Aghdaei |
| 3.7 | Low-Power Unary Computing Architecture | Di Wu |
| 3.8 | Intrinsic Authentication at IoT Edge Nodes using Spatial and Temporal Signatures | Ahish Shylendra |
| 3.9 | Secure and Usable Zero-interaction Pairing and Authentication Methods for the Internet-of-Things | Kyuin Lee |
| 3.10 | Energy-Quality Scalable Hardware and Software Solutions for Energy-Efficient Approximate Computing | Setareh Behroozi |
Eligibility
- 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
- Abstract Submission: September 30, 2021
- Submission Link: https://easychair.org/conferences/?conf=daforum21
- Notification Date: October 6, 2021
- Forum Presentation Date: December 6, 2021
- Location: Virtual
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)
- 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)
- Internet of Things (IoT)
- Autonomous Systems
- High Level Synthesis, Logic Level Synthesis
- Power and Reliability Analysis and Optimization (including power management from system level to circuit level, thermal management, process variability management)
- Timing Analysis, Circuit and Interconnect Simulation
- Physical Design and Manufacturability
- Signal Integrity and Design Reliability
- Verification, Testing, Pre- and Post-Silicon Validation, Failure Analysis
- Reconfigurable and Adaptive Systems
- Analog/Mixed Signals and RF
- Hardware Security
- Machine learning/AI
- Printable and flexible hybrid electronics (FHE)
- 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 (rasit@us.ibm.com). 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
| Cristinel | Ababei | Marquette University |
| Raid | Ayoub | Intel |
| Ateet | Bhalla | Independent Technology Consultant, India |
| Rajat Subhra | Chakraborty | Associate Professor, Dept. of CSE, IIT Kharagpur |
| Xiaoming | Chen | Institute of Computing Technology, Chinese Academy of Sciences |
| Li | Du | University of California, Los Angeles |
| Shao-Yun | Fang | National Taiwan University of Science and Technology |
| Hui-Ru | Jiang | National Taiwan University |
| Jinwook | Jung | IBM |
| Ryan | Kim | Colorado State University |
| Myung-Chul | Kim | |
| Younghyun | Kim | University of Wisconsin-Madison |
| Bing | Li | Technical University of Munich |
| Preeti | Panda | Indian Institute of Technology Delhi |
| Sudeep | Pasricha | Colorado State University |
| Rahul | Rao | IBM |
| Emre | Salman | Stony Brook University |
| Hassan | Salmani | Howard University |
| Korkut | Tokgoz | Tokyo Institute of Technology |
| Rasit Onur | Topaloglu | IBM |
| Miroslav | Velev | Aries Design Automation |
| Robert | Wille | Johannes Kepler University Linz |
| Hua | Xiang | IBM |
| Jiang | Xu | Hong Kong Universtiy of Science and Technology |
| Cindy Yang | Yi | Virginia Tech |
| Wei | Zhang | The Hong Kong University of Science and Technology |
