ACM SIGDA congratulates the following members of our community on being named ACM Fellows:
Luca P. Carloni (Columbia University)
Deming Chen (University of Illinois Urbana-Champaign)
Kwang-Ting Cheng (HKUST)
G. Edward Suh (Cornell University)
ACM Fellow is the association’s highest membership grade, recognizing the top 1% of ACM members for outstanding accomplishments in computing and information technology.
ACM SIGDA is pleased to announce that Dr. Zishen Wan (Georgia Tech) received the 2026 ACM Outstanding Ph.D. Dissertation Award in Electronic Design Automation, presented at DAC 2026, for his dissertation:
“Tailored Computing: Cross-Layer System, Architecture, and Silicon Co-Design for Physical Intelligence”
The dissertation was supervised by Prof. Arijit Raychowdhury and Prof. Tushar Krishna.
The award recognizes an outstanding doctoral thesis that makes a substantial contribution to the field of electronic design automation.
ACM SIGDA is pleased to announce that Prof. Zhiyao Xie (HKUST) received the 2026 SIGDA Outstanding New Faculty Award (ONFA), presented at DAC 2026.
ONFA recognizes a junior faculty member early in their academic career who demonstrates outstanding potential as an educator and researcher in electronic design automation.
ACM SIGDA is pleased to announce the recipients of the 2026 SIGDA Meritorious Service Award, presented at DAC 2026:
Ambar Sarkar (NVIDIA), “for his key role in developing the Engineering Track at the Design Automation Conference.”
Andy Pimentel (University of Amsterdam), “for his sustained leadership roles in SIGDA-sponsored conferences, including DATE and ESWEEK.”
Hussam Amrouch (Technical University of Munich), “for his contributions to the development and growth of the ACM/IEEE Symposium on Machine Learning for CAD (MLCAD).”
Ramesh Karri (New York University), “for founding and establishing the security track at the Design Automation Conference.”
The Meritorious Service Award recognizes significant service contributions to SIGDA and its sponsored events.
Congratulations to all four recipients, and thank you for your service!
ACM SIGDA and IEEE CEDA are pleased to announce that the 2026 ACM/IEEE A. Richard Newton Technical Impact Award in Electronic Design Automation was presented at DAC 2026 to Xiangyu Dong (Waymo), Xiaoxia Wu (Together AI), Guangyu Sun (Peking University), Yuan Xie (HKUST), Hai Li (Duke University), and Yiran Chen (Duke University).
They were honored for their paper:
X. Dong, X. Wu, G. Sun, Y. Xie, H. Li, Y. Chen, “Circuit and Microarchitecture Evaluation of 3D Stacking Magnetic RAM (MRAM) as a Universal Memory Replacement,” Proceedings of the Design Automation Conference (DAC), pp. 554–559, 2008.
The award recognizes an outstanding technical contribution in EDA that has had a lasting impact on the field.
ACM SIGDA is pleased to announce that Prof. Sachin Sapatnekar (University of Minnesota) received the 2026 SIGDA Pioneering Achievement Award, presented at DAC 2026.
Prof. Sapatnekar was recognized “for his groundbreaking fundamental research contributions to EDA in timing analysis and physical design, EDA education through high-impact textbooks, and strong leadership in the community.”
The Pioneering Achievement Award honors individuals whose work has had a lasting impact on the field of electronic design automation.
The ACM/SIGDA Pioneering Achievement Award recognizes individuals whose lifetime contributions have fundamentally shaped the field of electronic design automation (EDA). SIGDA is pleased to announce that Professor Tim Kwang-Ting CHENG has been selected as the recipient of this distinguished honor for his decades-long, transformative impact on EDA, VLSI design, verification, and cross-disciplinary research that bridges electronics, photonics, computer vision, and medical image analysis.
About the ACM/SIGDA Pioneering Achievement Award
The ACM/SIGDA Pioneering Achievement Award honors a person for lifetime, outstanding contributions within the scope of electronic design automation, as evidenced by pioneering ideas, influential publications, industrial products, and lasting impact on research and practice.
Past awardees represent the most influential leaders in EDA, including pioneers in design automation, verification, simulation, logic synthesis, VLSI systems, and hardware description languages.
Award items include a plaque, a citation, and a $1000 honorarium funded by the SIGDA annual budget. The award is typically presented at DAC and recognized again at the SIGDA Member Meeting and Dinner at ICCAD.
About Professor Tim Cheng
Vice-President for Research and Development, HKUST Chair Professor, ECE & CSE, HKUST Director, HKUST–WeBank Joint Lab PhD, Electrical Engineering and Computer Sciences, UC Berkeley
Professor Tim Cheng is an internationally renowned researcher, educator, and academic leader whose work has deeply influenced the fields of electronics testing, design verification, electronic and photonic design automation, computer vision, VLSI, and medical image analysis.
Academic and Leadership Roles
Prof. Cheng joined HKUST in 2016 as the Dean of Engineering and currently serves as the Vice-President for Research and Development. Before HKUST, he was a long-time faculty member at UC Santa Barbara (UCSB), where he held numerous major leadership roles including:
Associate Vice-Chancellor for Research (2014–2016)
Acting Associate Vice-Chancellor for Research (2013)
Chair, Department of Electrical and Computer Engineering (2005–2008)
Founding Director, Computer Engineering Program (1999–2002)
Prior to academia, he spent five years at AT&T Bell Laboratories, contributing to early advances in computing and communication technologies.
Research Excellence and Impact
Prof. Cheng is a world authority on design verification, electronics testing, and design automation of electronic and photonic systems. His pioneering contributions have influenced both academic research and industrial practice.
Key achievements include:
Over 500 technical papers, 5 books, and 12 US patents
Leadership of the U.S. DoD MURI Center for 3D Hybrid Circuits
Twelve Best Paper Awards and one Distinguished Paper Citation
Recognized as a Top 10 Author in DAC’s Fourth Decade
Numerous influential contributions transferred into commercial products
Fellow of IEEE and the Hong Kong Academy of Engineering Sciences
In 2020, he secured HK$443.9 million from Hong Kong’s InnoHK initiative to establish the AI Chip Center for Emerging Smart Systems, a major multi-university research center advancing IC and AI chip design.
Service to the EDA Community
Prof. Cheng has been an active and dedicated contributor to the global EDA community:
Former Editor-in-Chief, IEEE Design & Test of Computers
Member, IEEE CEDA Board of Governors
Member, IEEE Computer Society Publications Board
Contributor to ITRS technology working groups
Advisor and collaborator across academia, industry, and government
His sustained service and leadership have helped shape research directions, technology roadmaps, and the cultivation of future generations in the design automation community.
Congratulations to Professor Tim Cheng
SIGDA extends its warmest congratulations to Prof. Cheng on receiving the ACM/SIGDA Pioneering Achievement Award, recognizing his exceptional technical achievements, scholarly leadership, and profound lifetime impact on the field of electronic design automation.
Prof. Rob Rutenbar receives the 2021 ACM SIGDA Pioneering Achievement Award
The SIGDA award selection committee is honored to announce that Prof. Rob Rutenbar has been selected to receive the 2021 ACM SIGDA Pioneering Achievement Award.
for his pioneering work and extraordinary leadership in analog design automation and general EDA education.
As the highest technical distinction of ACM SIGDA, this award is to recognize the lifetime of outstanding achievements on Electronic Design Automation.
This award will be presented in SIGDA Annual Member Meeting and Dinner at ICCAD 2022.
2020 SIGDA Student Research Competition (SRC) Gold Medalists won ACM SRC Grand Finals
Jiaqi Gu, University of Texas at Austin Research Advisors: David Z. Pan and Ray T. Chen
“Light in Artificial Intelligence: Efficient Neuromorphic Computing with Optical Neural Networks” (ICCAD 2020)
Deep neural networks have received an explosion of interest for their superior performance in various intelligent tasks and high impacts on our lives. The computing capacity is in an arms race with the rapidly escalating model size and data amount for intelligent information processing. Practical application scenarios, e.g., autonomous vehicles, data centers, and edge devices, have strict energy efficiency, latency, and bandwidth constraints, raising a surging need to develop more efficient computing solutions. However, as Moore’s law is winding down, it becomes increasingly challenging for conventional electrical processors to support such massively parallel and energy-hungry artificial intelligence (AI) workloads. .. [Read more]
Undergraduate Category – Second Place
Chuangtao Chen, Zhejiang University Research Advisor: Cheng Zhuo
At the edge, IoT devices are designed to consume the minimum resource to achieve the desired accuracy. However, the conventional processors, such as CPU or GPU, can only conduct all the computations with predetermined but sometimes unnecessary precisions, inevitably degrading their energy efficiency. When running data-intensive applications, due to the large range of input operands, most conventional processors heavily rely on floating-point units (FPUs). Recently, approximate computing has become a promising alternative to improve energy efficiency for IoT devices on the edge, especially when running inaccuracy-tolerable applications. For various data-intensive tasks on edge devices, multiplication is a common but the most energy consuming one among different floating-point operations. As a common arithmetic component that has been studied for decades [1]–[3], the past focus on the FP multiplier is accuracy and performance… [Read more]
