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 email@example.com or 217-265-5292 for more information on the center, its research and meeting attendance options.
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