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Ph.D. Proposal Oral Exam - Hakki Torun

Title:  Bayesian Learning and Optimization for High-Performance Microelectronic Packaging

Committee: 

Dr. Swaminathan, Advisor      

Dr. Raychowdhury, Chair

Dr. Mukhopadhyay

Abstract:

The objective of this research is to develop Bayesian learning based models and algorithms that enable accurate system-level optimization, design space exploration (DSE) and uncertainty quantification (UQ) of high-performance electronics used for high-speed signaling, power delivery and embedded passives in microelectronic packages.

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Thursday
Nov 21 2019
10:00am - 12:00pm

In campus calendar: No

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  • Workflow status: Published
  • Created by: Daniela Staiculescu
  • Created: 11/14/2019
  • Modified By: Daniela Staiculescu
  • Modified: 11/14/2019

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