Graduate Exam Abstract
Majid Ahadi Dolatsara
M.S. Final
May 26, 2016, 4:30 pm - 6:30 pm
ECE Conference Room
Efficient multidimensional uncertainty quantification of high speed circuits using advanced polynomial chaos approaches
Abstract: With the scaling of VLSI technology to sub-45 nm levels, uncertainty in the nanoscale manufacturing processes and operating conditions have been found to result in unpredictable circuit behavior at the chip, package, and board levels of modern integrated microsystems. Hence, modeling the forward propagation of uncertainty from the device-level parameters to the system-level response of high-speed circuits and systems forms a crucial requirement of modern computer-aided design (CAD) tools. This thesis presents novel approaches based on the generalized polynomial chaos (gPC) theory for the efficient multidimensional uncertainty quantification of general distributed and lumped high-speed circuit networks. The key feature of this work is the development of approaches which are much more efficient and/or accurate comparing to recently suggested uncertainty approaches in the literature. The validity of this work is established through multiple numerical examples.
Adviser: Dr. Sourajeet Roy
Co-Adviser: NA
Non-ECE Member: Dr. Chuck Anderson
Member 3: Dr. Branislav Notaros
Addional Members: Dr. Ali Pezeshki
Publications:
• M. Ahadi, M. Kabir, et al. “Non-Intrusive Pseudo Spectral Approach for Stochastic Macromodeling of EM Systems using Deterministic Full-wave Solversâ€, IEEE Conference on Electrical Performance of Electronic Packaging and Systems, October 2014
• A. K. Prasad, M. Ahadi, S. Roy “Polynomial Chaos Based Variability Analysis of Power Distribution Networks Using a 3D Topology of Multiconductor Transmission Linesâ€, IEEE Conference on Electrical Performance of Electronic Packaging and Systems, October 2014
• M. Ahadi, M. Vempa, S. Roy “Efficient Multidimensional Statistical Modeling of High Speed Interconnects in SPICE via Stochastic Collocation using Stroud Cubatureâ€, IEEE International Symposium on Electromagnetic Compatibility, March 2015 (Invited paper to special session)
• M. Ahadi, M.Kabir, S. Roy, R. Khazaka “Fast Multidimensional Statistical Analysis of Microwave Networks via Stroud Cubature Approachâ€, IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, August 2015
• A. K. Prasad, M. Ahadi, B. S. Thakur, S. Roy “Accurate Polynomial Chaos Expansion for Variability Analysis using Optimal Design of Experimentsâ€, IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, August 2015
• M. Ahadi, A. K. Prasad, S. Roy “Hyperbolic Polynomial Chaos Expansion (HPCE) and its Application to Statistical Analysis of Nonlinear Circuits,†IEEE International Conference on Signal and Power Integrity, May 2016, (Invited paper)
• M. Ahadi, S. Roy, “Sparse Linear Regression (SPLINER) Approach for Efficient Multidimensional Uncertainty Quantification of High-Speed Circuitsâ€, IEEE transactions on Computer-Aided Design of Integrated Circuits and Systems, Accepted in February 2015
Program of Study:
ECE 554
ECE 575
ECE 641
ECE 442
ECE 581A5
ECE 699
GSTR 500
NA
