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.

Event Details

Date/Time:

  • Thursday, November 21, 2019
    10:00 am - 12:00 pm
Location: Room 3100, Klaus