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Sourajeet Roy

Sourajeet Roy

Assistant Professor

sourajeet.roy@ece.iitr.ac.in
01332-285762
My Website

  • Numerical modeling and simulation of high-speed devices/circuits,
  • Machine learning based tools for EDA of circuits
  • Statistical machine learning for uncertainty quantification and stochastic modeling of circuits
  • Machine learning-based generative models of emerging passive and active devices
From To Designation Organisation
November 2013 January 2019 Assistant Professor Colorado State University
January 2019 Present Assistant Professor Indian Institute of Technology Roorkee
Award Institute Year Awarded
Graduate Thesis Research Award University of Western Ontario 2012
Queen Elizabeth II Graduate Scholarship in Science and Technology University of Western Ontario 2012
Ontario Graduate Scholarship University of Western Ontario 2012
Vice-Chancellors Gold Medal in Electrical Engineering Sikkim Manipal Institute of Technology 2006
Award for Academic Excellence in Electrical Engineering Sikkim Manipal Institute of Technology 2004
Global Opportunities Award University of Western Ontario 2012
IEEE Senior Member IEEE 2021
Degree Subject University Year Studied
Ph. D. Electrical and Computer Engineering University of Western Ontario 2013
MESc Electrical and Cmputer Engineering University of Western Ontario 2009
B. Tech Electrical and Electronics Engineering Sikkim Manipal University 2006
Scheme Sponsoring Agency Other Faculties Year Sponsored
Startup Reserach Grant Science and Engineering Research Board - 2019
Membership Details
IEEE , Senior Member
Topic Scholar Name Status of PhD Registration Year
Uncertainty Quantification and Statistical Modeling of High Speed Circuits Aditi K. Prasad A 2014
Uncertainty Quantification of Emerging Graphene Based Nanointerconnects Surila Guglani O 2019
Polymorphic Polynomial Chaos for Mixed Epistemic-Aleatory Uncertainty Quantification of High-speed Circuits and Devices Mohd. Yusuf O 2020
Variability Analysis and Design Optimization using Machine Learning for Photonic ICs Asha Jakhar O 2020
Statistical Signal Integrity Analysis using Polynomial Chaos and Machine Learning for Hybrid Cu-Graphene Nanointerconnects Dimple Singh O 2020
Stochastic Modeling for Signal Integrity Analysis of Hybrid Copper-Graphene Interconnects Suyash Kushwaha O 2020
Delay analysis for Interconnects in Ultra-scaled ICs Adeeba Sharif O 2021
Machine Learning Based Small Signal Models of HEMT Devices Aasim Ashai O 2021
Course Name Sponsored By Date Participated
Emerging Nanoscale Devices, Circuits, and Systems AICTE 15-07-2019
Title Place Date Delivered
Signal Spectra in EMC IEEE Symposium on Electromagnetic Compatibility and Signal Integrity, Washington D. C. August 8th, 2017
Non-Intrusive polynomial chaos approaches with waveform relaxation for rapid exploration of large dimensional random spaces in interconnect and packaging simulation Department of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana-Champaign October 7th, 2014
Parallel simulation of massively coupled distributed networks - challenges and viable methodologies McGill University, Montreal March 10th, 2014
Recent Advances in Statistical Machine Learning for Uncertainty Quantification of High-Speed Circuits Workshop on Next Generation Electronic Systems: Heterogeneous Integration, Thermal and Power Management, Related Machine Learning organized by SUNY Binghamton October 8th, 2020
Graphene-Based Emerging Interconnects - From Physics-Based Deterministic SPICE Models to Uncertainty Quantification IEEE 27th Conference on Electrical Performance of Electronic Packaging and Systems October 7th, 2020
Implications of Thermal Aspects on Interconnect and Packaging Technology - An Electro-Thermal Co-Design Perspective IEEE Electrical Design of Advanced Packaging and Systems Conference December 14th, 2020
Understanding the Impact of Surface Roughness on the Performance of Next Generation Cu Interconnects IEEE Electrical Design of Advanced Packaging and Systems Conference December 14th, 2019
Topic Organisation Level
Computational algorithms for variation-aware design optimization of silicon photonics and photonic integrated circuits Colorado State University, USA PHD
Uncertainty Quantification for Emerging Interconnects for End-of-Roadmap Technology Nodes Indian Institute of Technology Ropar PhD
Stochastic Macromodeling in High-Speed Interconnects Carleton University, Canada PhD
Uncertainty Quantification for Spintronic Devices Indian Institute of Technology Roorkee PhD
Title of Project Name of Student
Novel Methods to Quantify Aleatory and Epistemic Uncertainty in High Speed Networks Ishan D. Kapse
Efficient Multidimensional Uncertainty Quantification of High Speed Circuits using Advanced Polynomi Majid A. Dolastara
Scholar Name Interest
Surila Guglani Polynomial chaos, machine learning, statistical modeling

Peer Reviewed Scientific Research Journal Papers

  1. 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. 09, pp. 570-581, May 2021
  2. S. Guglani and S. Roy, "Two-level multi-fidelity algorithm with dimension reduction for efficient uncertainty quantification of multi-walled carbon nanotube interconnects," accepted for publication in IEEE Transactions on Electromagnetic Compatibility, January 2021
  3. R. Kumar, A. Kumar, S. Guglani, S. Kumar, S. Roy, B. K. Kaushik, R. Sharma, and R. Achar, “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)
  4. 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 (invited paper for Special Issue on Packaging and Interconnects: Cutting-edge Solutions in Modeling, Design, and Characterization)
  5. 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
  6. 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, June 2019
  7. 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 (invited paper for Special Issue on Cutting-Edge Modeling and Applications of Electromagnetic Devices and Fields)
  8. 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
  9. A. A. Maciejewski et. al., “A holistic approach to transforming undergraduate electrical engineering education,” IEEE AccessSpecial Section on Innovations in Electrical and Computer Engineering Education, vol. 5, pp. 8148-8161, May 2017
  10. 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
  11. 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)
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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
  21. 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

 

Peer Reviewed Scientific Research Conference Papers 

  1. M. Yusuf and S. Roy, "A polymorphic polynomial chaos for fast uncertainty quantification of RF/microwave circuits in presence of design variables," accepted for oral presentation in IEEE MTT-S 69th International Microwave Symposium, June 2021 (Invited paper in Focus Session: Emerging Machine Learning Techniques for CAD of RF/Microwave Circuits)
  2. 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
  3. 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. 1-3
  4. 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,” accepted for oral presentation in IEEE 27th Conference on Electrical Performance of Electronic Packaging and Systs., Oct. 2020
  5. V. K. Nishad, A. K. Nishad. S. Roy, B. K. Kaushik, and R, Sharma, "First principle analysis of Os-passivated armchair graphene," in Proc. of IEEE International Conference on Nanotechnology, July 2020 (Best Student Paper Award)
  6. 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,” accepted for oral presentation in 70th IEEE Electronic Components and Technology Conference, May 2020
  7. R. Kumar, S. Kumar, S. Guglani, S. Roy, B. K. Kaushik, R. Sharma, and R. Achar, “Temperature-aware compact modelling for resistivity in ultra-scaled Cu-graphene hybrid interconnects,” accepted for oral presentation in 24th IEEE Workshop on Signal and Power Integrity, May 2020
  8. 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 24th IEEE Workshop on Signal and Power Integrity, May 2020
  9. S. Shreya, S. Guglani, B. K. Kaushik, and S. Roy, “Statistical analysis of temperature variability on the write efficiency of spin-orbit torque MRAM using polynomial chaos metamodels,” in Proc. Of 21st International Symp. On Quality Electronic Design, March 2020, pp. 87-92
  10. 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 MWCNTs,” in Proc. IEEE Conference on Electrical Design of Advanced Packaging, pp. 1-3, Dec. 2019
  11. A. Kumar, B. K. Kaushik, S. Roy, and R. Achar, “Crosstalk Analysis in MWCNTs using a Closed-form Matrix Rational Approximation Technique,” in Proc. IEEE 26th Conference on Electrical Performance of Electronic Packaging and Systs., pp. 1-3, Oct. 2019
  12. 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,” accepted for oral presentation in IEEE Asia-Pacific International Symposium on Electromagnetic Compatibility, June 2019 (Invited paper in Special Session: Advanced Macromodeling Techniques for EMC & SI/PI))
  13. 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 (Invited paper in Special Session: Uncertainty Quantification Analysis in Network, Devices, and Fields)
  14. 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
  15. 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)
  16. 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
  17. 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
  18. 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
  19. 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)
  20. 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)
  21. 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)
  22. 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
  23. 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
  24. 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)
  25. 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)
  26. 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
  27. 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
  28. 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
  29. 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
  30. 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)
  31. 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
  32. 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)
  33. 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)
  34. 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
  35. 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
  36. 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
  37. 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
  38. 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
  39. 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
  40. 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
  41. 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
  42. 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
Total Citations
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