| Stochastic modeling of air electrostatic discharge parameters Y Xiu, S Sagan, A Battini, X Ma, M Raginsky, E Rosenbaum 2018 IEEE International Reliability Physics Symposium (IRPS), 2C. 2-1-2C. 2-10, 2018 | 10 | 2018 |
| A method for modeling the impact of conductor surface roughness on waveguiding properties of interconnects X Ma, JS Ochoa, AC Cangellaris 2013 IEEE 22nd Conference on Electrical Performance of Electronic Packaging …, 2013 | 10 | 2013 |
| Modeling of conductor surface roughness effect X Ma University of Illinois at Urbana-Champaign, 2015 | 9 | 2015 |
| A machine learning methodology for inferring network S-parameters in the presence of variability X Ma, M Raginsky, AC Cangellaris 2018 IEEE 22nd Workshop on Signal and Power Integrity (SPI), 1-4, 2018 | 7 | 2018 |
| Statistical simulation of high-speed links with transmitter and receiver nonlinearities WT Beyene, A Zargaran-Yazd, X Ma 2014 IEEE 23rd Conference on Electrical Performance of Electronic Packaging …, 2014 | 6 | 2014 |
| Monte Carlo estimation of sparse grid interpolation residual for stochastic collocation of high-order systems with uncertainties X Chen, X Ma, A Rong, JE Schutt-Ainé, AC Cangellaris 2017 IEEE 21st Workshop on Signal and Power Integrity (SPI), 1-4, 2017 | 5 | 2017 |
| Stochastic electromagnetic-circuit simulation for system-level EMI analysis X Ma, X Chen, A Rong, JE Schutt-Ainé, AC Cangellaris 2017 IEEE International Symposium on Electromagnetic Compatibility & Signal …, 2017 | 2 | 2017 |
| Inference of electromagnetic system behavior in the presence of variability X Ma University of Illinois at Urbana-Champaign, 2020 | | 2020 |
| Quantitative Analysis of the Impact of Geometric and Material Uncertainty on the Electromagnetic Response of Transmission Line Systems X Ma | | 2011 |
