Graduate Exam Abstract
July 5, 2017, 9:00 am - 12:00 pm
B 214 Engineering Building
Advancements to the fields of Aleatory and Epistemic Uncertainty Quantification
Abstract: With the advent of sub-nm
technologies, the impact of
uncertainties in the network input on
the network output has increasingly
become a function of these input
uncertainties. This thesis presents a
few methods to analyze these
uncertainties and to accurately predict
the response of a system within a
certain set of boundaries.
Adviser: Dr. Sourajeet Roy
Non-ECE Member: Dr. Charles Anderson
Member 3: Dr. Sudeep Pasricha
Addional Members: Dr. Ali Pezeshki
Anisotropic formulation of hyperbolic polynomial chaos expansion for high-dimensional variability analysis of nonlinear circuits. EPEPS 2016.
Generalized anisotropic polynomial chaos approach for expedited statistical analysis of nonlinear radio-frequency (RF) circuits. SPI 2016.
3. Analyzing Impact of Epistemic Uncertainty in High-Speed Circuit Simulation using Fuzzy Logic and Global Polynomial Chaos Surrogates. NEMO 2017.
Program of Study: