Seminars

Seminar Mechanism

Computer Systems (Computer Architecture, Operating Systems, and Compilers)

Prof. Tanvir Ahmed Khan

In-Memory Computing For Machine Intelligence

Prof. Bonan Yan

Machine Learning in EDA: When and How 

Prof. Bei Yu

Scalable Assurance via Verifiable Hardware-Software Contracts

Prof. Caroline Trippel

Machine Learning in AMS VLSI Design for Reliability

Prof. Tinghuan Chen

Deep Learning for Backend Design Automation of VLSI Circuits: Modeling, Optimization, and Datasets

Prof. Yibo Lin

Hardware Design Methods for Bit-width Optimization

Prof. Ray Cheung

Modular Specification and Formal Verification of Accelerator-Rich Architectures

Prof. Hongce Zhang

Meta-programming: Optimising Designs for Multiple Computing Platforms

Prof. Wayne Luk

Optimizing Memory Access in EDA Algorithms, AI Accelerators and PIM Architectures

Dr. Xiaoming Chen

Intelligent and Open-Source EDA for Analog and Mixed-Signal IC Design

Dr. Keren Zhu

RapidStream 2.0: Automated Parallel Implementation of Latency Intensive FPGA Designs Through Partial Reconfiguration

Mr. Licheng Guo

Intelligent Heterogeneous Parallelism

Prof. Tsung-Wei Huang

Our Real Scaling Challenge: People

Prof. Andrew B. Kahng

Efficient Digital Design and Implementation with Machine Learning in EDA

Prof. Zhiyao Xie

Light-AI Interaction: The Convergence of Photonic Deep Learning and Cross-Layer Design Automation

Prof. David Pan, Jiaqi Gu

AI for IC and IC for AI: Closed-Loop Perspectives and Recent Results

Prof. David Pan

Automating Customizable Computing -- Democratizing Accelerator Designs at the Edge and in the Cloud 

Prof. Jason Cong

Recent Research Development in Flip-flop Clustering

Prof. Iris Jiang

Routing Algorithms from Classic to Advanced

Prof. Atsushi Takahashi