Spotlight
Faculty Profiles
Faculty Search Committee
Prospective Faculty
Important Contacts
Prospective Students
RICET
EICT
SMDP
Room Booking System[Internal Use]
Sourajeet Roy
Sourajeet Roy Assistant Professor sourajeet.roy@ece.iitr.ac.in 9836311221 Website
Areas of Interest
  • Numerical modeling and simulation of high-speed devices/circuits, computational algorithms for uncertainty quantification, stochastic modeling & reliability analysis
  • Carbon nanotubes, modeling and simulation of CNT for electronic packaging applications
  • Modeling of high-speed interconnects, CAD for signal and power integrity analysis
  • Microwave/RF circuit simulation, numerical algorithms for steady-state, transient, and frequency-domain simulation
Professional Background
FromToDesignationOrganisation
20132018Assistant ProfessorColorado State University
Honors and Awards
AwardInstituteYear
Provost’s N. Preston Davis Instructional Innovation AwardColorado State University2018
Associate Editor for IEEE Transactions on Components, Packaging, and Manufacturing Tech.IEEE2017
Guest Associate Editor for IEEE Transactions on Components, Packaging, and Manufacturing Tech.IEEE2015
Graduate Thesis Research AwardUniversity of Western Ontario2012
Queen Elizabeth II Graduate Scholarship in Science and TechnologyUniversity of Western Ontario2012
Ontario Graduate ScholarshipUniversity of Western Ontario2012
Global Opportunities AwardUniversity of Western Ontario2012
Vice-Chancellors Gold Medal in Electrical EngineeringSikkim Manipal Institute of Technology2006
Award for Academic Excellence in Electrical EngineeringSikkim Manipal Institute of Technology2004
Educational Details
DegreeSubjectUniversityYear
Ph. D. Electrical and Computer EngineeringUniversity of Western Ontario2013
MEScElectrical and Cmputer EngineeringUniversity of Western Ontario2009
B. TechElectrical and Electronics EngineeringSikkim Manipal University2006
Sponsored Research Projects
TopicFunding AgencyYear
A Polymorphic Polynomial Chaos Approach towards Stochastic Design Optimization of ICsSERB2019
Memberships
  • IEEE , Full Member
Projects and Thesis Supervised
Title of ProjectNames of Students
Novel Methods to Quantify Aleatory and Epistemic Uncertainty in High Speed NetworksIshan D. Kapse
Efficient Multidimensional Uncertainty Quantification of High Speed Circuits using Advanced PolynomiMajid A. Dolastara
Research Scholar Groups
Scholar NameInterest
Surila GuglaniPolynomial chaos, machine learning, statistical modeling
PHDs Supervised
TopicScholar NameStatus of PHDRegistration Year
Uncertainty Quantification and Statistical Modeling of High Speed CircuitsAditi K. PrasadA2014
Uncertainty Quantification of Emerging Graphene Based NanointerconnectsSurila GuglaniO2019
Participation in short term courses
Couse NameSponsored ByDate
Emerging Nanoscale Devices, Circuits, and SystemsAICTE15-07-2019
Special Lectures Delivered
TitlePlaceDate
Non-Intrusive polynomial chaos approaches with waveform relaxationECE Department, University of Illinois Urbana-Champaign7/10/2014
Parallel simulation of massively coupled distributed networks - challenges and viable methodologiesECE Department, McGill University10/3/2014
Signal Spectra in EMCIEEE Symposium on Electromagnetic Compatibility and Signal Integrity, Washington D. C.8/8/2017
National International Collaboration
TopicOrganisationLevel
Computational algorithms for variation-aware design optimization of silicon photonics and photonic integrated circuitsColorado State UniversityPHD
Computational algorithms for uncertainty quantification in computational fluid dynamicsColorado State UniversityPG
Refereed Journal Papers

Peer Reviewed Scientific Research Journal Papers

  1. 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" accepted for publication in IEEE Transactions on Components, Packaging, and Manufacturing Technology (invited paper for Special Issue on Packaging and Interconnects: Cutting-edge Solutions in Modeling, Design, and Characterization)
  2. 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
  3. 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
  4. 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)
  5. 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
  6. 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
  7. 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
  8. 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)
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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. 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
  2. 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))
  3. 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)
  4. 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
  5. 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)
  6. 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
  7. 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
  8. 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
  9. 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)
  10. 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)
  11. 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)
  12. 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
  13. 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
  14. 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)
  15. 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)
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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)
  21. 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
  22. 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)
  23. 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)
  24. 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
  25. 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
  26. 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
  27. 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
  28. 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
  29. 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
  30. 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
  31. 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
  32. 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