[4eyes] Fwd: Sep 9 (Mon): "PhD Defense: Tensor Decomposition for Concept Recognition, " Ahmed Wahba, ECE PhD. Defense

[Pradeep Sen]

FYI, for those of you interested in machine learning with GANs.

Best,

-Pradeep



---
Pradeep Sen
Professor
UCSB MIRAGE Lab
Dept. of Electrical & Computer Engineering
University of California, Santa Barbara
Santa Barbara, CA 93106-9560


---------- Forwarded message ---------
From: Adriana Aguirre <cao-academic at ece.ucsb.edu>
Date: Fri, Aug 30, 2019 at 9:17 AM
Subject: Sep 9 (Mon): "PhD Defense: Tensor Decomposition for Concept
Recognition," Ahmed Wahba, ECE PhD. Defense
To: <seminar at ece.ucsb.edu>


*Tensor Decomposition for Concept Recognition - an Automated and Robust
Concept Recognition Software Based on GANs and Tensors*



*Ahmed Wahba, ECE PhD Defense*

*September 9, 2019 (Mon), 10:00 am*

*Harold Frank Hall (HFH), Rm 4164*



*Abstract:*

In production test data analytics, it is often that analysis involves the
recognition of a conceptual pattern on a wafer map. A wafer pattern may
hint a particular issue in the production by itself or guide the analysis
into a certain direction.



In this thesis, we show how Generative Adversarial Networks (GANs) can be
used to build concept recognizers. We also introduce a novel concept
recognition approach based on Tensor decomposition.



Tensor-based concept recognizers are combined with GANs-based recognizers
to prevent escapes, also known as adversarial examples.



The focus of this work is on automating the concept recognition process as
well as ensuring robustness. Two tensor methods are introduced, the first
tensor method is based on clustering and is used to automate concept
extraction. The second tensor method is used to continuously check the
GANs-based recognizer's performance to ensure robustness. The robust
automated software is applied to production wafers from multiple automotive
product lines.



*Bio:*

Ahmed Wahba is a PhD candidate in Computer Engineering advised by professor
Li-C. Wang. Ahmed received his Bachelor's degree in Electrical Engineering
and a Master's degree in Computer Engineering from Cairo University in 2011
and 2014 respectively.



His research interests are Machine Learning, Data Analytics, and Design
Automation. His doctoral research is focused on using Tensor Decomposition
for Machine Learning and Data Analytics.



He also has industry and research experience in Computer Architecture, RF
Design, and Design Verification.


Hosted by: Professor Li-C. Wang|| Submitted by Ahmed Wahba <awahba at ucsb.edu>

-- 
Adriana Aguirre
Academic Personnel Coordinator
Electrical & Computer Engineering, HFH 4155
t: (805) 893- 3716
f: (805) 893- 3262
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