
Big Data in Reliability and Security: Some Basics
30 May 2019   Contributor(s):: Saurabh Bagchi

Big Data in Reliability and Security: Applications
30 May 2019   Contributor(s):: Saurabh Bagchi

Robust Computing Systems: From Today to the N3XT 1,000×
08 May 2019   Contributor(s):: Subhasish Mitra
This talk presents an overview of my group’s research in the above areas, and particularly emphasizes complexity and performance.

SunsVmp Method
04 Jun 2018   Contributor(s):: Xingshu Sun, Raghu Vamsi Krishna Chavali, Muhammad Ashraful Alam
This package contains the Matlab scripts to perform the SunsVmp method. The code has been tested in Matlab R2016a.

Too hot to handle? The emerging challenge of reliability/variability in selfheated FintFET, ETSOI, and GAAFET
11 Jan 2016   Contributor(s):: Muhammad A. Alam, Sang Hoon Shin, Muhammad Abdul Wahab, Jiangjiang Gu, Jingyun Zhang, Peide "Peter" Ye
This presentation is part of the 8th IEEE/ACM Workshop on Variability Modeling and Characterization (VMC) 2015. It is difficult to control the geometry, doping, and thicknesses of small transistors. Moreover, nanoscale transistors degrade due to NBTI and HCI at vastly different...

Failures in Photovoltaic Modules
21 Apr 2015   Contributor(s):: Peter Bermel
In this talk, I will discuss some of the major sources of performance degradation for common glassencapsulated PV modules, including crystalline silicon and thin films. The greatest reliability challenges have occurred in the latter, with recent studies showing that thinfilm modules operating...

Long term Aging of Autonomous STructures (LAAST) Seminar Series
07 Apr 2015   Contributor(s):: Ali Shakouri
The Long term Aging of Autonomous STructures (LAAST) seminar series focuses on reliability and aging of devices for energy conversion, information processing or sensing.

A Blind Fish in a River with a Waterfall
23 Mar 2010   Contributor(s):: Muhammad Alam, Sajia Sadeque
Prototype for a reliability problem defined as Stochastic Process with a Threshold

ECE 695A Lecture 37: Radiation Induced Damage – An overview
19 Apr 2013   Contributor(s):: Muhammad Alam
Outline:Introduction and short history of radiation damageRadiation damage in various types of componentsSources of radiationA basic calculation and simulation approachesConclusions

ECE 695A Lecture 37R: Review Questions
19 Apr 2013   Contributor(s):: Muhammad Alam
Review Questions:Why is SOI more radiation hard compared to bulk devices? What do you feel about radiation hardness of FINFET?What type of radiation issues could arise for thinbody devices like FINFET?What is error correction code? Why does it correct for MBU?What is the difference between SEE...

ECE 695A Lecture 34: Scaling Theory of Design of Experiments
18 Apr 2013   Contributor(s):: Muhammad Alam
Outline:IntroductionBuckingham PI TheoremAn Illustrative ExampleRecall the scaling theory of HCI, NBTI, and TDDBConclusions

ECE 695A Lecture 34A: Appendix  Variability by Bootstrap Method
18 Apr 2013   Contributor(s):: Muhammad Alam

ECE 695A Lecture 33: Model Selection/Goodness of Fit
18 Apr 2013   Contributor(s):: Muhammad Alam
Outline:The problem of matching data with theoretical distributionParameter extractions: Moments, linear regression, maximum likelihoodGoodness of fit: Residual, Pearson, Cox, AkikaConclusion

ECE 695A Lecture 33R: Review Questions
18 Apr 2013   Contributor(s):: Muhammad Alam
Review Questions:With higher number of model parameters, you can always get a good fit – why should you minimize the number of parametersLeast square method is a subset of maximum likelihood approach to data fitting. Is this statement correct?What aspect of the distribution function does...

ECE 695A Lecture 32R: Review Questions
15 Apr 2013   Contributor(s):: Muhammad Alam
Review Questions:Why do people use Normal, lognormal, Weibull distributions when they do not know the exact physical distribution?What is the problem of using empirical distributions? What are the advantages?If you must choose an empirical distribution, what should be your criteria? (Nos. of...

ECE 695A Lecture 32: Physical vs. Empirical Distribution
15 Apr 2013   Contributor(s):: Muhammad Alam
Outline:Physical Vs. empirical distributionProperties of classical distribution functionMomentbased fitting of dataConclusions

ECE 695A Lecture 31R: Review Questions
15 Apr 2013   Contributor(s):: Muhammad Alam
Review Questions:What is the difference between parametric estimation vs. nonparametric estimation?What principle did Tacho Brahe’s approach assume?What is the difference between population and sample? When we collect data for TDDB or NBTI, what type of data are we collecting?What problem does...

ECE 695A Lecture 31: Collecting and Plotting Data
15 Apr 2013   Contributor(s):: Muhammad Alam
Outline:Origin of data, Field Acceleration vs. Statistical InferenceNonparametric informationPreparing data for projection: Hazen formula Preparing data for projection: Kaplan formulaConclusion

ECE 695A Lecture 31A: Appendix  Bootstrap Method Introduction
15 Apr 2013   Contributor(s):: Muhammad Alam

ECE 695A Lecture 30R: Review Questions
08 Apr 2013   Contributor(s):: Muhammad Alam
Outline:What is the difference between extrinsic vs. intrinsic breakdown?Does gas dielectric have extrinsic breakdown? Why or why not?What does ESD damage and the plasma damage to thin oxides?Can you explain the physical meaning of infant mortality ? How does it relate to yield of semiconductor...