Events
Join us in Chicago for the Spring 2025 Semiannual Meeting May 7 & 8!
Please mark your calendar for May 7 & 8, 2025 and join us in Chicago for the CAEML Semiannual Spring Meeting. Information about registration and the agenda will be sent to member company contacts, faculty and students.
Any companies considering membership ahead of the meeting can contact the center at CAEML@mx.uillinois.edu for more information on the center, its research and meeting attendance options.
CAEML Webinars
Webinars are restricted to CAEML industry and university members
Recordings of past webinars are available to Center members on the CAEML Repository
UPCOMING! Modeling IC Dielectric Lifetime Using Physics-based ML Methods, Weiman Yan, UIUC, March 28, 2025
Surrogate Modeling for Semiconductor Packaging and Systems Using Machine Learning, Oluwaseyi Akinwande, Georgia Tech, February 27, 2025
Tutorial on Shapley Additive Explanations with Applications to Analog Circuit Design, Michael Molter, UIUC, December 12, 2024
Transfer Learning using Feature Maps for Predicting Scattering Parameters of Patch Array Antennas, Sri Laxmi Ganna, PSU,
November 8, 2024
Can Low-Rank Knowledge Distillation in LLMs Be Useful for Microelectronic Reasoning? Nirjhor Rouf, NCSU, October 4, 2024
Neuromorphic Computing: Bridging the gap between Nanoelectronics, Neuroscience and Machine Learning Abhronil Sengupta, PSU May 1, 2024
Physical Design Parameter Optimization for 2D and 3D ICs Hao-Hsiang (Thomas) Hsiao , Georgia Tech, April 12, 2024
Physical Side-Channel Analysis and the Future: Why Should You Care? Aydin Aysu NC State March 29, 2024
Transfer Learning Framework for Semiconductor Packaging Oluwaseyi Akinwande Georgia Tech student December 1, 2023
Polynomial-Based Surrogate Models for Uncertainty Quantification of Passive Electronic Systems Xingjian Shangguan Ilinois student December 20, 2022
Design Space Extrapolation and Inverse Design Using Machine Learning Osama Waqar Bhatti GaTech student December 5, 2022
PPA Modeling and Optimization with Transfer Learning and Evolutionary Algorithms Rhett Davis NC State December 13, 2021
FPGA Hardware Accelerator for Real Time Security Archit Gajjar NC State University student September 23, 2021
Recurrent Neural Network Models for Efficient Simulation of Circuit Aging and Stochastic Effects Jie Xiong Illinois student June 9, 2021
A Machine Learning Based Design Rule Checker Luis Francisco NC State student May 25, 2021
Expressiveness and generalizability of recurrent neural networks for systems modeling Joshua Hanson llinois student May 18, 2021
Machine Learning and Uncertainty Quantification Methods for Hardware Design Xu Chen May 4, 2021
Deus Ex Machina: Learning Techniques for Breakthrough in Side-Channel Security Assessment of Integrated Circuits Aydin Aysu, Professor & Priyank Kashyap and Furkin Aydin NC State students March 22, 2021
High-speed Channel Analysis and Design with Machine Learning Majid Ahadi GaTech student December 10, 2020
Time Series Prediction Using Deep Markov Models Yu Zhou NC State student November 18, 2020
Model-Augmented Estimation of Condition Mutual Information for Feature Selection Alan Yang Illinois student July 21, 2020
Candidate Algorithms for Mixed RF and Circuit Design Paul Franzon July 10, 2020
Demystifying ML Hakki Torun student GaTech & Madhavan Swaminathan June 24, 2020
Introduction to ML-based FPGA Compilation Anthony Agnesina March 20, 2020
Deep Learning Based Side-Channel Attacks Aydin Aysu & Arjit Raychowdhury NC State student August 12, 2019
Modeling of Electrical Circuits with Recurrent Neural Networks Xu Chen April 3, 2019
Behavioral Model Development for High Speed Links Bowen Li NC State studentFebruary 25, 2019
Surrogate Modeling & Bayesian Optimization Paul Franzon February 12, 2019
ML Techniques for Packaging Problems Madhavan Swaminathan September 19, 2018
Machine Learning Assisted IC Design Modeling, Optimization and IP Reuse Weiyi Qi August 17, 2017