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Graduate Exam Abstract


Ishan Kapse

M.S. Final

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
Co-Adviser: N/A
Non-ECE Member: Dr. Charles Anderson
Member 3: Dr. Sudeep Pasricha
Addional Members: Dr. Ali Pezeshki

Publications:
1.
Anisotropic formulation of hyperbolic polynomial chaos expansion for high-dimensional variability analysis of nonlinear circuits. EPEPS 2016.
2.
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:
ECE 501
ECE 554
ECE 561
ECE 571
ECE 572
ECE 581A5
ECE 642
CS 545