Home

Practical Applications of Bayesian Networks

Thursday, November 8, 2018

Abstract

Bayesian Networks are webs of interconnected random variables through conditional probability distributions. They are widely used for uncertainty and complexity management in most modern modeling approaches including: machine learning, artificial intelligence, and patterns recognition. They are intuitive for complexity management, because they are modular, so the complexity can be modeled one piece at a time. They are also perfect for uncertainty management, because they are probabilistic in nature. The probability theory connects the parts together and ensures the overall system consistency, also provides a means to connect the models to external data when available. This talk is a brief introduction to Bayesian Networks with few examples in different applications.

Speaker’s Bio:

Reza is currently working as a principal reliability strategist for Intuitive. He is a seasoned reliability engineering professional with experience at variety of different industries such as medical devices, semiconductor capitol equipment, chemical and pharmaceutical, natural gas & oil, aerospace, defense and energy.  He is also the founder and president of Reliability Science LLC, a consulting firm that helps clients make strategic risk-based decisions on their operation. He has received his master’s and PhD in Reliability Engineering from the University of Maryland at College Park, also holds a bachelor’s and master’s in mechanical engineering from Sharif University of Technology.

10th Annual IEEE EPS SCV Soft Error Rate (SER) Workshop

Wednesday, October 24, 2018 (Talk proposals due Sept 12, 2018)

With our Workshop’s focus on alpha-induced soft errors and its unique offering of simultaneous on-site and remote participation, we provide opportunities for interactive discussion on a variety of critical subjects on SER for an ever-increasing international audience.
For this year’s event, we will continue with the format used in the previous two years: We will be inviting industry experts in the field to offer technical presentations and tutorials on fundamentals of soft errors and their impact on applications, as well as selected submitted proposals.
Topics of interest include, but are not limited to:  Impact of soft error rates/mechanisms on commercial/terrestrial applications

  •  Advanced silicon nodes and device SER performance assessment
  • Techniques and approaches for alpha emissivity measurement
  • Success stories of alpha emission or soft error control
  •  Wafer and assembly process control and monitor

Each talk will be limited to 35 minutes, with an additional 5 minutes for questions. The final presentation must be submitted one week before the event, and will be posted as PDF for download after the event. Although new content is especially appreciated, adaptation of content recently published elsewhere is welcome.
The deadline for technical presentations and tutorial abstracts is September 12, 2018. For additional information and a preliminary list of talks, please visit:

10th Annual IEEE EPS SCV Soft Error Rate (SER) Workshop

If you have any questions on this event, or wish to discuss a proposed talk, please email us:

Eric Crabill, Xilinx, at ser_workshop@xilinx.com

Thursday, November 8, 2018

Practical Applications of Bayesion Networks

Sponsored by IEEE SCV Reliability Chapter

Time: 6:15 pm – 7:45 pm

Qualcomm Inc. Building-B Cafeteria
3165 Kifer Road
Santa Clara, CA 95051 United States