Dr.  Deming Chen

Deming Chen is the Abel Bliss Professor in the Grainger College of Engineering at the University of Illinois Urbana-Champaign. His research interests include machine learning and AI, system-level design methodologies, hybrid cloud systems, reconfigurable and heterogeneous computing, and security and confidential computing. He has published more than 300 research papers, received 10 Best Paper Awards, 2 ACM/SIGDA TCFPGA Hall-of-Fame Paper Awards, 5 Best Poster Awards, and delivered more than 170 invited talks, including over 20 keynote and distinguished lectures. His research has generated substantial impact, with several open-source solutions adopted by industry (e.g., FCUDA, DNNBuilder, CSRNet, SkyNet, ScaleHLS, Medusa). He also won various awards, including ACM SIGDA Distinguished Service Award, First Place Winner Award for International Hardware/System Design Contest in 2017 and 2019, NSF SBIR Awards, Google Faculty Award, IBM Faculty Award, Arnold O. Beckman Research Award, and NSF Career Award, etc. Dr. Chen is an ACM Fellow, an IEEE Fellow, an ACM Distinguished Speaker, and previously served as Editor-in-Chief of ACM Transactions on Reconfigurable Technology and Systems (TRETS). Under his leadership, the impact factor of ACM TRETS has increased by 3.8 times. He serves as the Illinois Director of the IBM-Illinois Discovery Accelerator Institute and the Director of the AMD Center of Excellence. He is the founding co-chair of the International Conference on LLM-Aided-Design (ICLAD). Additionally, he has been involved in several startup companies, including AutoESL and Inspirit IoT. He received his Ph.D. in Computer Science from UCLA in 2005.

ACM Involvement:

I am currently the General Chair for ACM/IEEE International Conference on Computer-Aided Design. I am also a member of the ACM SIGDA FPGA, Configurable Computing Technical Committee since 2010 and a TPC member for ACM/SIGDA International Symposium on FPGA (FPGA) since 2006. 

Previously, I served as Editor-in-Chief of the ACM Transactions on Reconfigurable Technology and Systems (ACM TRETS) from 2019 to 2025, during which time the journal’s impact factor rose from 0.813 in 2018 to 3.1 in 2024. I also served in the TPC for other ACM-sponsored conferences, such as ASPDAC, SLIP, GLSVLSI, DAC, ISLPED, etc.

I received ACM SIGDA Distinguished Service Award in 2021 and I became an ACM Fellow in 2025.

• AI–Hardware Co-Design: Advancing Quality, Productivity, and Reliability
  AI workloads, from edge intelligence to large language models (LLMs), are placing unprecedented demands on computing systems, exposing fundamental challenges in efficiency, productivity, and...
• StreamTensor: Make Tensors Stream in Dataflow Accelerators for LLMs
  Efficient execution of deep learning workloads on dataflow architectures is crucial for overcoming memory bottlenecks and maximizing performance. While streaming intermediate results between...