Events

Spring 2022 Semiannual Meeting scheduled for April 20 & 21 at NC State. Check back in the spring for details.

Any companies considering membership and wishing to be a guest at the meeting can contact Center Operations Manager Jill Peckham at jpeckham@illinois.edu or 217-265-5292 for more information on the center, its research and meeting attendance options.

Webinars

Recordings of past webinars are available to Center members on the CAEML Repository.

December 13, 2021  Rhett Davis NC State:  PPA Modeling and Optimization with Transfer Learning and Evolutionary Algorithms

September 23, 2021  Archit Gajjar NC State University   FPGA Hardware Accelerator for Real Time Security

June 9, 2021  Jie Xiong  Recurrent Neural Network Models for Efficient Simulation of Circuit Aging and Stochastic Effects

May 25, 2021  Luis Francisco A Machine Learning Based Design Rule Checker

May 18, 2021  Joshua Hanson Expressiveness and generalizability of recurrent neural networks for systems modeling

May 4, 2021 Xu Chen Machine Learning and Uncertainty Quantification Methods for Hardware Design

March 22, 2021 Aydin Aysu, Priyank Kashyap and Furkin Aydin Deus Ex Machina

December 10, 2020 Majid Ahadi High-speed Channel Analysis and Design with Machine Learning

November 18, 2020 Yu Zhou Time Series Prediction Using Deep Markov Models

July 21, 2020 Alan Yank Model-Augmented Estimation of Condition Mutual Information for Feature Selection

July 10, 2020 Paul Franzon Candidate Algorithms for Mixed RF and Circuit Design

June 24, 2020 Hakki Torun & Madhavan Swaminathan Demystifying ML

March 20, 2020 Anthony Agnesina Introduction to ML-based FPGA Compilation

August 12, 2019 Aydin Aysu & Arjit Raychowdhury Deep Learning Based Side-Channel Attacks

April 3, 2019 Xu Chen Modeling of Electrical Circuits with Recurrent Neural Networks

February 25, 2019 Bowen Li Behavioral Model Development for High Speed Links

February 12, 2019 Paul Franzon Surrogate Modeling & Bayesian Optimization

September 19, 2018 Madhavan Swaminathan ML Techniques for Packaging Problems

August 17, 2017 Weiyi Qi  Machine Learning Assisted IC Design Modeling, Optimization and IP Reuse