Dolatsara wins 2021 IEEE Trans-EMC Best Paper Award

Congratulations to Majid Ahadi Dolatsara and his co-authors from Georgia Tech and IBM upon being awarded the 2021 Richard B. Schulz Best Transactions Paper Award of IEEE Transactions on Electromagnetic Compatibility for their paper Worst-Case Eye Analysis of High-Speed Channels Based on Bayesian Optimization.

Dolatsara’s paper, which describes his CAEML-supported doctoral research, was selected from 242 papers published in 2021 in the Transactions on EMC.

Georgia Tech CAEML Students Win EDAPS Best Paper Award

Osama Waqar Bhatti and Oluwaseyi I. Akinwande, both CAEML Ph.D. students at Georgia Tech, were awarded the Best Student Paper Award at the 2021 Electrical Design of Advanced Packaging and Systems (EDAPS) Symposium organized by the IEEE Electronics and Packaging Society (EPS). Their award-winning paper was titled: “Comparison of Invertible Architectures for High-Speed Channel Design” and was co-authored by IAB reps from IBM.

CAEML’s NC State research highlighted in DesignNews

Center for Advanced Electronics through Machine Learning (CAEML) researchers have been investigating machine learning hardware solutions that can accelerate ransomware detection at the intelligent edge… See full article in DesignNews

Davis is Panelist for Si2 Tech Forum

CAEML Professor Rhett Davis from NC State joined the Executive Panel Discussion: EDA-in-the-Cloud Challenges are Already Solved for the Si2 Annual Technology Forum, an online event, August 6. The panel members also included scientists from three leading technology companies two of which are CAEML Industry Members.

NSF Recognizes CAEML for Research Achievement

A recent story on work done through CAEML at Georgia Tech has been released by NSF. The series recognizes the industrial and societal impact of cutting-edge research done by Industry-University Cooperative Research Centers. Full story at

Bhatti receives Best Paper Award at ISQED

Congratulations to Osama Waqar Bhatti at Georgia Tech on receiving the Best Paper Award at this year’s International Symposium on Quality Electronic Design (ISQED).

The title of the award-winning paper is “Design Space Extrapolation for Power Delivery Networks using a Transposed Convolutional Net” and focuses on the design and fabrication of highly efficient circuits and integrated systems using Machine Learning-based techniques which can greatly reduce the time and expense of traditional modeling.  This research also focuses on optimization and exploration of multiple design strategies for real world applications like autonomous driving, heterogeneous integration and advanced electronic packaging.

Torun selected for  Best Ph.D. Thesis Award

Congratulations go out to Dr. Hakki M. Torun for being selected for the 2021 Georgia Tech Sigma Xi Chapter Best Ph.D. Thesis Award. His thesis is titled “Machine Learning Based Design and Optimization for High Performance Semiconductor Packaging and Systems”.

Franzon was Panelist for 2021 ECTC

CAEML Site Director at North Carolina State University, Paul Franzon, was a Plenary Forum Speaker and a Panelist for the IEEE 71st Electronic Components and Technology Conference June 1 – July 4, 2021.

Illinois CAEML researchers earn Best Student Paper award at 2020 IEEE MTT-S Nemo

CAEML student Der-Han Huang with faculty members Andreas Cangellaris and Xu Chen was awarded the Best Student Paper at 2020 IEEE Microwave Theory and Techniques Society International Conference on Numerical Electromagnetics and Multiphysics Modeling and Optimization (MTT-S NEMO). The conference was held in Hangzhou, China and also virtually.

Georgia Tech CAEML researchers win Best Paper award at ICCD 2020

CAEML students Majid Ahadi Dolatsara and Hakki Torun, along with faculty members Madhavan Swaminathan and Sung Kyu Lim were part of a team that won the Best Paper Award at the 2020 IEEE International Conference on Computer Design (ICCD).

Rosenbaum to give invited talk to 2020 IEDM

CAEML Director Elyse Rosenbaum presented an invited talk on machine learning for circuit aging simulation at the 2020 IEDM. The paper is co-authored by CAEML faculty member Max Raginsky and graduate students Jie Xiong and Alan Yang.

Successful Tech Transfer

In a 2020 paper for EPEPS, IBM revealed that they use CAEalgorithm ML’s BALDO to optimize the equalization settings for their Power9 processor.

CAEML Grad Student Joshua Hanson presents at L4DC

11 June 2020 Illinois CAEML Graduate Student Joshua Hanson gave an oral presentation of his paper Universal Simulation of Dynamical Systems by Recurrent Neural Nets at the 2nd Conference on Learning for Dynamics and Control (L4DC)  on June 11, 2020. There were 131 submissions for the conference and Hanson’s was one of only 14 were selected for oral presentations.

Raginsky presents video lecture for IAS

19 May 2020  CAEML PI Maxim Raginsky presented a video lecture for the Institute for Advance Study School of Mathematics entitled: Neural SDEs: Deep Generative Models in the Diffusion Limit. The lecture is available on the IAS website.

Bowen Li, Paul Franzon at CAEML NCSU Win Best Paper Award at DesignCon 2020

15 May 2020 Congratulations to CAEML researchers graduate Bowen Li, NCSU student Brandon Jiao and their advisor Paul Franzon, along with Geoff Zhang and Chih-Hsun Chou at CAEML Industry member Xilinx  for receiving a Best Paper Award at DesignCon 2020 for their submission Self-Evolution Cascade Deep Learning for SerDes Adaptive Equalization!