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PEER-REVIEWED JOURNAL PUBLICATIONS

  1. S. Guglani, Km. Dimple, S. Roy, R. Sharma, and B. K. Kaushik, “A bilevel multi-fidelity polynomial chaos approach for the uncertainty quantification of MWCNT interconnect networks with variable imperfect contact resistances,” in IEEE Access, vol. 10, pp. 109925-109936, Oct. 2022

  2. S. Kushwaha, N. Soleimani, F. Trevisio, R. Kumar, R. Trinchero, F. G. Canavero, S. Roy, and R. Sharma, “Comparative analysis of prior knowledge-based machine learning metamodels for modeling hybrid copper-graphene on-chip interconnects,” in IEEE Transactions on Electromagnetic Compatibility, vol. 64, no. 6, pp. 2249-2260, Dec. 2022

  3. A. Jadhav et.al., “An accurate approach to develop small signal circuit models for AlGaN/GaN HEMTs using rational functions and dependent current sources,” in IEEE Journal of Electron Devices Society, vol. 10, pp. 797-807, Sept. 2022

  4. R. Kumar, S. S. Likith Narayan, S. Kumar, S. Roy, B. K. Kaushik, R. Achar, and R. Sharma, “Knowledge-based neural networks for fast design space exploration of hybrid copper-graphene on-chip interconnect networks,” in IEEE Transactions on Electromagnetic Compatibility, vol. 64, no. 1, pp. 182-195, Feb. 2022

  5. M. Yusuf and S. Roy, “A polymorphic polynomial chaos formulation for mixed epistemic-aleatory uncertainty quantification of RF/Microwave circuits,” in IEEE Transactions on Microwave Theory and Techniques, vol. 70, no. 1, pp 926-937, Jan. 2022 (Mini Special Issue)

  6. A. Jadhav et.al., “Modified small signal circuit of AlGaN/GaN MOS-HEMTs using rational functions,”  in IEEE Transactions on Electron Devices, vol. 68, no. 12, pp. 6059-6064, Dec. 2021

  7. A. Jadhav et.al., “Generalized frequency dependent small signal model for high frequency analysis of AlGaN/GaN MOS-HEMTs,” in IEEE Journal of Electron Devices Society, vol. 9, pp. 570-581, May 2021

  8. S. Guglani and S. Roy, “Two-level multi-fidelity algorithm with dimension reduction for efficient uncertainty quantification of MWCNT interconnects,” in IEEE Transactions on Electromagnetic Compatibility, vol. 63, no. 6, pp. 1941-1950, Dec. 2021

  9. Rahul Kumar et.al., "A temperature and dielectric roughness-aware matrix rational approximation (MRA) model for the reliability assessment of copper-graphene hybrid on-chip interconnects," in IEEE Transactions on Components, Packaging, and Manufacturing Technology, vol. 10, no. 9, pp. 1454-1465, Sept. 2020 (Special Issue on Reliability of Microelectronic Packaging) (PDF of paper)

  10. Y. Li, S. Bhatnagar, A. Merkley, D. Weber, and S. Roy, "A predictor-corrector algorithm for fast polynomial chaos based uncertainty quantification of multi-walled carbon nanotube interconnects" IEEE Transactions on Components, Packaging, and Manufacturing Technology, vol. 9, no. 10, pp. 1963-1975, Oct. 2019 (Special Issue: Packaging and Interconnects: Cutting-edge Solutions in Modeling, Design, and Characterization) (PDF of paper)

  11. J. Weinmeister, X. Gao, and S. Roy, “Analysis of a polynomial chaos-kriging metamodel for uncertainty quantification in aerodynamics,” American Institute of Aeronautics and Astronautics (AIAA) Journal, vol. 57, no. 6, pp. 2280-2296, June 2019 (https://arc.aiaa.org/doi/abs/10.2514/1.J057527)

  12. A. K. Prasad and S. Roy, “Multi-fidelity approach for polynomial chaos based statistical analysis of microwave networks,” Applied Computational Electromagnetics (ACES) Journal, vol. 34, no. 2, Feb. 2019 (Special Issue: Cutting-Edge Modeling and Applications of Electromagnetic Devices and Fields) 

  13. A. K. Prasad and S. Roy, “Reduced dimensional Chebyshev-polynomial chaos approach for fast mixed epistemic-aleatory uncertainty quantification of transmission line networks,” IEEE Transactions on Components, Packaging, and Manufacturing Technology, vol. 9, no. 6, pp. 1119-1132, June 2019

  14. A. K. Prasad and S. Roy, “Accurate reduced dimensional polynomial chaos for efficient uncertainty quantification of microwave/RF networks,” IEEE Transactions on Microwave Theory and Techniques, vol. 65, no. 10, pp. 3697-3708, Oct. 2017

  15. A. A. Maciejewski et. al., “A holistic approach to transforming undergraduate electrical engineering education,” IEEE Access (Special Section on Innovations in Electrical and Computer Engineering Education), vol. 5, pp. 8148-8161, May 2017

  16. M. Ahadi and S. Roy, “Sparse linear regression (SPLINER) approach for efficient multidimensional uncertainty quantification of high-speed circuits,” IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems, vol. 35, no.10, pp. 1640-1652, Oct. 2016

  17. A. K. Prasad, M. Ahadi, and S. Roy, “Multidimensional uncertainty quantification of microwave/RF networks using linear regression and optimal design of experiments,” IEEE Transactions on Microwave Theory and Techniques, vol. 64, no.8, pp. 2433-2446, Aug. 2016 (Mini Special Issue)

  18. A. K. Prasad and S. Roy, “Multidimensional variability analysis of complex power distribution networks via scalable stochastic collocation approach,” IEEE Transactions on Components, Packaging, and Manufacturing Technology, vol. 5, no.11, pp.1656-1668, Nov. 2015

  19. S. Roy and A. Dounavis, “Parallel transient simulation of package/board power distribution networks based on a two-dimensional overlapping partitioning methodology,” IEEE Transactions on Components, Packaging, and Manufacturing Technology, vol. 3, no. 12, pp. 2101-2112, Dec. 2013

  20. S. Roy and A. Dounavis, “Macromodeling of multilayered power distribution network based on a multiconductor transmission line approach,” IEEE Transactions on Components, Packaging, and Manufacturing Technology, vol. 3, no. 6, pp. 1047-1056, June 2013

  21. S. Roy, A. Beygi, and A. Dounavis, “Electromagnetic interference analysis of multiconductor transmission line networks using longitudinal partitioning based waveform relaxation algorithm,” IEEE Transactions on Electromagnetic Compatibility, vol. 55, no. 2, pp. 395-406, April 2013

  22. S. Roy and A. Dounavis, “Delay extraction based waveform relaxation algorithm for fast transient analysis of power distribution networks,” IEEE Transactions on Components, Packaging, and Manufacturing Technology, vol. 2, no. 12, pp. 2044-2056, December 2012

  23. S. Roy, A. Dounavis, and A. Beygi, “Longitudinal-partitioning-based waveform relaxation algorithm for efficient analysis of distributed transmission-line networks,” IEEE Transactions on Microwave Theory and Techniques, vol. 60, no. 3, pp. 451-463, March 2012

  24. S. Roy and A. Dounavis, “Efficient modeling of power/ground planes using delay extraction based transmission lines,” IEEE Transactions on Components, Packaging, and Manufacturing Technology, vol. 1, no. 5, pp. 761-771, May 2011

  25. S. Roy and A. Dounavis, “Transient simulation of distributed networks using delay extraction based numerical convolution,” IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems, vol. 30, no. 3, pp. 364-373, March 2011

  26. S. Roy and A. Dounavis, “Efficient delay and crosstalk modeling of RLC interconnects using delay algebraic equations,” IEEE Transactions on Very Large Scale Integrated Systems, vol. 19, no. 2, pp. 342-346, February 2011

  27. S. Roy and A. Dounavis, “Closed-form delay and crosstalk models for RLC on-chip interconnects using a matrix rational approximation,” IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems, vol. 28, no. 10, pp. 1481-1492, October 2009

CONFERENCE PUBLICATIONS

  1. S. Guglani, Km Dimple, A. Dasgupta, R. Sharma, B. K, Kaushik, and S. Roy, “A transfer learning approach to expedite training of artificial neural networks for variability-aware signal integrity analysis of MWCNT interconnects,” in Proc. IEEE 29th Conference on Electrical Performance of Electronic Packaging and Systs., Oct. 2022, pp. 1-3

  2. J. Patel, S. Banchhor, S. Guglani, A. Dasgupta, S. Roy, A. Bulusu, and S. Dasgupta, “Design optimization using symmetric/asymmetric spacer for 14nm multi-fin tri-gate Fin-FET for midband 5G applications,” in Proc. 35th International Conference on VLSI Design, Feb.-March 2022, pp. 292-296

  3. A. Sharif, S. Pathania, S. Kushwaha, S. Roy, R. Sharma, and B. K, Kaushik, “An artificial neural network surrogate model for repeater optimization in the presence of parametric uncertainty for hybrid copper-graphene interconnect networks,”  in Proc. 2022 IEEE International Conf. on Numerical Electromagnetics, Multiphysics Modeling, and Optimization, June 2022, pp. 1-4 (Invited paper in Special Session: Machine Learning, AI, and Uncertainties)

  4. Km Dimple, S. Guglani, S. Kushwaha, R. Kumar, S. Roy, R. Sharma, and B. K. Kaushik, "Exploring the impact of parametric variability on eye diagram of on-chip multi-walled carbon nanotube interconnects using fast machine learning techniques," in Proc. IEEE 72nd  Electronic Components and Technology Conference, May 2022, pp. 981-986

  5. S. Guglani, J. Patel, A. Dasgupta, M.-Y. Kao, and C. Hu, "Artificial neural network surrogate models for efficient design space exploration of 14-nm finFETs," accepted for poster presentation in 80th Device Research Conference, May 2022

  6. R. Kumar, S. Sarkar, A. Dasgupta, S. Dasgupta, and S. Roy, “Fast extraction of quantum confinement effect on threshold voltage of gate-all-around FETs using machine learning methods,” accepted for poster presentation in XXth International Workshop on Physics of Semiconductor Devices, Dec. 2021

  7. M. Yusuf and S. Roy, “Statistical sensitivity analysis in distributed circuits using compact polymorphic polynomial chaos surrogates,” in Proc. IEEE Conference on Electrical Design of Advanced Packaging, Dec. 2021, pp. 1-4

  8. S. Banchhor, N. Bagga, N. Chauhan, S. Manikandan, A. Dasgupta, S. Roy, A. Bulusu, and S. Dasgupta, “Analysis of self-heating in 5nm stacked nanosheet transistor applications,” accepted for poster presentation in XXth International Workshop on Physics of Semiconductor Devices, Dec. 2021

  9. S. Kushwaha, A. Attar, R. Trinchero, F. Canavero, R. Sharma, and S. Roy, “Fast extraction of per-unit-length parameters of hybrid copper-graphene interconnects via generalized knowledge-based machine learning,” in Proc. IEEE 28th Conference on Electrical Performance of Electronic Packaging and Systs., Oct. 2021, pp. 1-3

  10. M. Yusuf and S. Roy, “A polymorphic polynomial chaos for fast uncertainty quantification of RF/microwave circuits in presence of design variables,” in Proc. IEEE MTT-S 69th International Microwave Symposium, June 2021, pp. 1-4 (Invited paper in Focus Session: Emerging Machine Learning techniques for CAD of RF/Microwave Circuits)

  11. S. Guglani, K. M. Dimple, S. Roy, B. K. Kaushik, and R. Sharma, “A multi-fidelity polynomial chaos approach for uncertainty quantification of MWCNT interconnect networks in the presence of imperfect contacts,” accepted for oral presentation in 25th IEEE Workshop on Signal and Power Integrity, May 2021, pp. 1-4

  12. M. Yusuf and S. Roy, “A polymorphic polynomial chaos for fast uncertainty quantification of RF/microwave circuits in presence of design variables,” in Proc. IEEE MTT-S 69th International Microwave Symposium, June 2021, pp. 1-4 (Invited paper in Focus Session: Emerging Machine Learning techniques for CAD of RF/Microwave Circuits)

  13. S. Guglani and S. Roy, “Predictor-Corrector algorithm with embedded dimension reduction for uncertainty quantification of MWCNT on-chip interconnect networks,” in Proc. IEEE 27th Conference on Electrical Performance of Electronic Packaging and Systs., Oct. 2020, pp. 1-4

  14. Rahul Kumar, S. S. Likith Narayan, Somesh Kumar, S. Roy, R. Sharma, B. K. Kaushik, and R. Achar, “Estimating per-unit-length resistance parameter in emerging copper-graphene hybrid interconnects via prior knowledge based accelerated neural networks,” in Proc. IEEE 27th Conference on Electrical Performance of Electronic Packaging and Systs., Oct. 2020, pp. 1-4

  15. V. K. Nishad, A. K. Nishad, S. Roy, B. K. Kaushik, and R. Sharma, “First principle analysis of Os-passivated armchair graphene,” in Proc. 20th IEEE International Conference on Nanotechnology, July 2020 (Best Student Paper Award).

  16. R. Kumar, S. Pathania, S. Kumar, S. Guglani, A. Kumar, S. Roy, and R. Sharma, “Role of grain size on the effective resistivity of copper-graphene hybrid interconnects,”  in Proc. 70th IEEE Electronic Components and Technology Conference, May 2020, pp. 1620-1625

  17. R. Kumar, S. Kumar, S. Guglani, S. Roy, B. K. Kaushik, R. Sharma, and R. Achar, “Temperature-aware compact modeling for resistivity in ultra-scaled Cu-graphene hybrid interconnects,” in Proc. 24th IEEE Workshop on Signal and Power Integrity, May 2020, pp. 1-4

  18. S. Guglani and S. Roy, “Development of improved predictor for expedited training of polynomial chaos metamodels of multi-walled carbon nanotube interconnects,” accepted for oral presentation in Proc. 24th IEEE Workshop on Signal and Power Integrity, May 2020, pp. 1-4

  19. S. Shreya, S. Guglani, S. Roy, and B. K. Kaushik, "Statistical analysis of temperature variability on the write efficiency of spin-orbit torque MRAM using polynomial chaos metamodels," in Proc. of IEEE 21st International Symposium on Quality Electronic Design, March 2020, pp. 87-92

  20. S. Guglani, A. Kumar, R. Kumar, B. K. Kaushik, R. Sharma, R. Achar, and S. Roy, “Temperature-aware closed-form matrix rational approximation model for crosstalk analysis of multi-walled carbon nanotube interconnects,”  accepted for oral presentation in IEEE Electrical Design of Advanced Packaging, Dec. 2019

  21. A. Kumar, B. K. Kaushik,  S. Roy, and R. Achar, “Crosstalk Analysis in MWCNTs using a Closed-form Matrix Rational Approximation Technique,” accepted for oral presentation in IEEE 26th Conference on Electrical Performance of Electronic Packaging and Systs., Oct. 2019

  22. S. Bhatnagar, Y. Li, A. Merkley, D. Weber, and S. Roy, “Predictor-corrector algorithms and their scalability analysis for fast stochastic modeling of multi-walled carbon nanotube interconnects using a predictor-corrector polynomial chaos scheme,” in Proc. IEEE Asia-Pacific International Symposium on Electromagnetic Compatibility, June 2019, pp. 1-4 (invited paper in Special Session: Advanced Macromodeling Techniques for EMC & SI/PI)

  23. X. Cao, S. Bhatnagar, M. Nikdast, and S. Roy, “Hierarchical polynomial chaos for variation analysis of silicon photonics microresonators,”  in Proc. 2019 International Applied Computational Electromagnetics Society (ACES) Symposium, April 2019, pp. 1-2 (invited paper in Special Session: Uncertainty Quantification Analysis in Network, Devices, and Fields)

  24. S. Bhatnagar, A. Merkley, R. Berdine, Y. Li, and S. Roy, “Variability-aware performance assessment of multi-walled carbon nanotube interconnects using a predictor-corrector polynomial chaos scheme,” in Proc. IEEE Conference on Electrical Design of Advanced Packaging, December 2018, pp. 1-3

  25. A. K. Prasad and S. Roy, “Multi-fidelity approach for polynomial chaos based statistical analysis of microwave networks,” in Proc. 2018 International Applied Computational Electromagnetics Society (ACES) Symposium, March 2018, pp. 1-2 (invited paper in Special Session: Uncertainty Quantification and Modeling for Complex Applications)

  26. T. Siller, A. Hicks, A. Pezeshki, S. Roy, B. M. Notaros, T. W. Chen, and A. A. Maciejewski, “Using student video presentations to develop communications skills,” accepted for presentation in 125th American Association of Engineering Education (ASEE) Annual Conference and Exposition, June 2018

  27. A. A. Maciejewski, A. Pezeshki, S. Roy, B. M. Notaros, and T. W. Chen, “Throwing away the course centric teaching model to enable change,” accepted for presentation in 125th American Association of Engineering Education (ASEE) Annual Conference and Exposition, June 2018

  28. S. Roy, A. Pezeshki, B. M. Notaros, T. W. Chen, T. Siller, and A. A. Maciejewski, “Active learning model as a way to prepare students for knowledge integration,” accepted for presentation in 125th American Association of Engineering Education (ASEE) Annual Conference and Exposition, June 2018

  29. J. Weinmeister, N. Xie, X. Gao, A. K. Prasad, and S. Roy, “Analysis of a polynomial chaos-kriging metamodel in aerospace applications,” in Proc. AIAA SciTech Forum, Jan. 2018, AIAA 2018-0911

  30. J. Weinmeister, N. Xie, X. Gao, A. K. Prasad, and S. Roy, “Combining a reduced polynomial chaos expansion approach with universal kriging,” in Proc. AIAA Aviation and Aeronautics Forum and Exposition, June 2017, AIAA 2017-3481

  31. J. Weinmeister, X. Gao, A. K. Prasad, and S. Roy, “Uncertainty quantification for combined polynomial chaos-kriging surrogate models,” in Proc. 70th Annual Meeting of APS Division of Fluid Dynamics, Nov. 2017

  32. A. K. Prasad and S. Roy, “Mixed aleatory-epistemic uncertainty quantification using reduced dimensional polynomial chaos and parametric ANOVA,” in Proc. IEEE 26th Conference on Electrical Performance of Electronic Packaging and Systs., October 2017, pp. 1-3 (invited paper in Special Session: Stochastic Modeling and Uncertainty Quantification)

  33. T. W. Chen, B. M. Notaros, A. Pezeshki, S. Roy, A. A. Maciejewski, and M. D. Reese, “Knowledge integration to understand why,” in Proc. 124th American Association of Engineering Education (ASEE) Annual Conference and Exposition, June 2017, paper ID 18611

  34. Y. Liu, A. Pezeshki, S. Roy, B. M. Notaros, T. W. Chen, and A. A. Maciejewski, “Why math matters: demonstrating the relevance of mathematics in ECE education,” in Proc. 124th American Association of Engineering Education (ASEE) Annual Conference and Exposition, June 2017, paper ID 18616

  35. A. K. Prasad and S. Roy, “A novel dimension fusion based polynomial chaos approach for mixed aleatory-epistemic uncertainty quantification of carbon nanotube interconnects,” in Proc. IEEE Symposium on Electromagnetic Compatibility and Signal Integrity, August 2017, pp. 108-111 (invited paper in Special Session: Advances in Uncertainty Quantification and Modeling in Computational EM and SIPI Applications)

  36. I. Kapse, A. K. Prasad, and S. Roy, “Analyzing impact of epistemic uncertainty in high-speed circuit simulation using fuzzy variables and global polynomial chaos surrogates,” in Proc. IEEE International Conf. on Numerical Electromagnetics, Multiphysics Modeling, and Optimization, June 2017, pp. 320-322 (invited paper in Special Session: Stochastic Electromagnetic Modeling)

  37. I. Kapse and S. Roy, “Anisotropic formulation of hyperbolic polynomial chaos expansion for high-dimensional variability analysis of nonlinear circuits,” in Proc. IEEE 25th Conference on Electrical Performance of Electronic Packaging and Systs., October 2016, pp. 123-126

  38. X. Gao, Y. Wang, N. Spotts, S. Roy, and A. K. Prasad, “Fast uncertainty quantification in engine nacelle inlet design using a reduced dimensional polynomial chaos approach,” in Proc. AIAA Propulsion and Energy Forum and Exposition 2016, July 2016, AIAA 2016-5057

  39. M. Ahadi, A. K. Prasad, and S. Roy, “Hyperbolic polynomial chaos expansions (HPCE) and its application to statistical analysis for nonlinear circuits,” in Proc. IEEE 20th Workshop on Signal and Power Integrity, May 2016, pp. 1-4 (invited paper)

  40. I. Kapse, A. K. Prasad, and S. Roy, “Generalized anisotropic polynomial chaos approach for expedited statistical analysis of nonlinear radio-frequency (RF) circuits,” in Proc. IEEE 20th Workshop on Signal and Power Integrity, May 2016, pp. 1-4 (invited paper)

  41. A. K. Prasad, D. Zhou, and S. Roy, “Reduced dimension polynomial chaos approach for efficient uncertainty analysis of multi-walled carbon nanotube interconnects,” in Proc. IEEE MTT-S 64th International Microwave Symposium, May 2016, pp. 1-3

  42. A. K. Prasad and S. Roy, “Global sensitivity based dimension reduction for fast variability analysis of nonlinear circuits,” in Proc. IEEE 24th Conference on Electrical Performance of Electronic Packaging and Systs., October 2015, pp. 97-99

  43. M. Ahadi, M. Kabir, S. Roy, and R. Khazaka, “Fast multidimensional statistical analysis of microwave networks via Stroud cubature approach,” in Proc. IEEE International Conf. on Numerical Electromagnetics, Multiphysics Modeling, and Optimization, August 2015, pp. 1-3

  44. A. K. Prasad, M. Ahadi, B. S. Thakur, and S. Roy, “Accurate polynomial chaos expansion for variability analysis using optimal design of experiments,” in Proc. IEEE International Conf. on Numerical Electromagnetics, Multiphysics Modeling, and Optimization, August 2015, pp. 1-4

  45. M. Ahadi, M. Vempa, and S. Roy, “Efficient multidimensional statistical modeling of high speed interconnects in spice via stochastic collocation using Stroud cubature,” in Proc. IEEE Symposium on Electromagnetic Compatibility and Signal Integrity, March 2015, pp. 300-305 (invited paper in Special Session: Stochastic Analysis for Signal Integrity/Power Integrity/Electromagnetic Compatibility)

  46. A. K. Prasad, M. Ahadi, and S. Roy, “Polynomial chaos based variability analysis of power distribution networks using a 3D topology of multiconductor transmission lines,” in Proc. IEEE 23rd Conference on Electrical Performance of Electronic Packaging and Systs., October 2014, pp. 21-24

  47. M. Ahadi, M. Kabir, A. Smull, E. Chobanyan, Md. A. H. Talukder, S. Roy, R. Khazaka and B. M. Notaros, “Non-Intrusive pseudo spectral approach for stochastic macromodeling of EM systems using deterministic full-wave solvers,” in Proc. IEEE 23rd Conference on Electrical Performance of Electronic Packaging and Systs., October 2014, pp. 235-238 (Winner of Best Poster Paper Award)

  48. Md. A. H. Talukder, M. Kabir, S. Roy and R. Khazaka, “Efficient stochastic transient analysis of high-speed passive distributed networks using Loewner matrix macromodels,” in Proc. IEEE Symposium on Electromagnetic Compatibility and Signal Integrity, August 2014, pp. 209-212 (invited paper in Special Session: Numerical Methods for Signal and Power Integrity Analysis)

  49. Md. A. H. Talukder, M. Kabir, S. Roy and R. Khazaka, “Efficient generation of macromodels via the Loewner matrix approach for the stochastic analysis of high-speed passive distributed networks,” in Proc. IEEE 18th Workshop on Signal and Power Integrity, May 2014, pp. 1-4

  50. S. Roy and A. Dounavis, “Hybrid approach for accelerated convergence of waveform relaxation based simulation of package/board power distribution networks,” in Proc. IEEE MTT-S 61st International Microwave Symposium, June 2013, pp. 1-4

  51. S. Roy and A. Dounavis, “Waveform relaxation with overlapping based partitioning for fast transient simulation of package/board power distribution networks,” in Proc. 21st IEEE Conference on Electrical Performance of Electronic Packaging and Systs., October 2012, pp. 252-255

  52. S. Roy, A. Beygi and A. Dounavis, “Fast electromagnetic interference analysis of distributed networks using longitudinal partitioning based waveform relaxation,” in Proc. IEEE MTT-S 60th International Microwave Symposium, June 2012, pp. 1-3

  53. S. Roy and A. Dounavis, “Waveform relaxation based analysis of noise propagation in power distribution networks,” in Proc. 20th IEEE Conference on Electrical Performance of Electronic Packaging and Systs., October 2011, pp. 255-258

  54. S. Roy and A. Dounavis, “Longitudinal partitioning based waveform relaxation algorithm for transient analysis of long delay transmission lines,” in Proc. IEEE MTT-S 59th International Microwave Symposium, June 2011, pp. 1-4

  55. S. Roy and A. Dounavis, “Efficient macromodeling of power distribution planes using delay extraction based transmission line representation,” in Proc. 14th International Symposium on Antenna Technology and Applied Electromagnetics, July 2010, pp. 1-4

  56. M. Ahmadloo, S. Roy and A. Dounavis, “Parameterized model order reduction of power distribution planes,” in Proc. 14th International Symposium on Antenna Technology and Applied Electromagnetics, July 2010, pp. 1-4

  57. S. Roy and A. Dounavis, “RLC interconnect modeling using delay algebraic equations,” in Proc. 8th IEEE Dallas Circuits and Systems Workshop, October 2009, pp. 1-4

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