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Member of Interdepartmental Center (SmartData@PoliTO - Big Data and Data Science Laboratory)

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Stefano Grivet-Talocia received the Laurea degree (summa cum laude) in Electronics Engineering (1994) and the PhD degree in Electronics and Communications Engineering (1998) from Politecnico di Torino, Italy. From 1994 to 1996, he was with the NASA/Goddard Space Flight Center, Greenbelt, MD, USA. He is currently a Full Professor of Electrical Enginnering with the Politecnico di Torino, Italy.

Stefano Grivet-Talocia is author or co-author of about 200 international refereed publications, including 63 refereed international journal papers (single-author of 12), and one research monograph (the first published book on "Passive Macromodeling"). He delivered several talks, courses, and tutorials at international conferences and public or private institutions, including NOAA, NASA, EADS, INTEL, IBM, MIT. His current research interests include passive macromodeling of lumped and distributed interconnect structures, model-order reduction, modeling and simulation of fields, circuits, and their interaction, wavelets, time-frequency transforms, and their applications.

Stefano Grivet-Talocia served as Associate Editor for the IEEE Trans. EMC (1999-2001) and is currently Associate Editor for the IEEE Trans. CPMT (since 2016). He was the General Chair of the SPI2016 and SPI2017 conferences. He served as TPC member of several international conferences, including DATE, ICCAD, SPI and EPEPS.

He is a Fellow of the IEEE and Member of the Advisory Board of the National ElecTrical Engineering Group (ET). He receives several awards, including three consecutive IBM SUR Grant Awards (2007-2009), one Best IEEE Transactions Paper Award, four Best Conference Paper Awards, and two URSI Young Scientist Awards.

He is actively engaged in several technology transfer activities. Beyond research contracts with industry partners (including NOKIA, HITACHI, INTEL, IBM), He was co-founder (2007) and President of the Spin-off company IdemWorks, until its acquisition by CST AG in 2016.

Scientific branch ING-IND/31 - ELETTROTECNICA
(Area 0009 - Ingegneria industriale e dell'informazione)
Identifiers ORCID: 0000-0002-5463-3810
Scopus Author ID: 7003526566
WoS ResearcherID: M-1480-2015
Research topics
  • Macromodeling and Model Order Reduction. The term “Macromodeling” denotes methods and algorithms for the generation of black-box models or equivalent circuits starting from some “external” characterization of a given structure at few accessible “ports” or observation points. These characterizations can be in time or frequency domain, coming from either simulation (e.g., by solving first-principles models such as field equations) or direct measurements. The resulting macromodels are essential for design and verification flows via system-level simulations. Macromodeling techniques have been mainly finalized to Electromagnetic Compatibility and Signal/Power Integrity verification of complex electronic systems. Several extensions and generalizations have been developed, including distributed-parameter circuits and parameterized (multivariate) macromodeling. S. G.-T. is considered as a leading personality in this field. In particular, He has co-authored the first book entirely dedicated to Macromodeling, published in 2016.
  • Passivity of lumped macromodels. The publications by the Author on passivity enforcement are considered as a reference for the scientific community. Non-passive macromodels can be the root cause for instabilities and lack of convergence in system-level simulations. Explicit passivity enforcement is thus of paramount importance during model generation. Several particularly effective scheme for achieving this goal have been introduced by S. G.-T., in particular the class of methods based on the iterative perturbation of the eigenvalue spectrum of suitable Hamiltonian matrices associated to the macromodels. Since its introduction in 2003, the main algorithm has been introduced in some leading commercial CAD software tools. Later developments extended the applicability of this methodology to highly complex models, both in terms of dynamic order and port count. The reliability of these schemes has been successively improved by introducing advanced techniques for accuracy control based on frequency-selective weighting, and by introducing additional formulations suitable for reciprocal structures and/or based on optimal convex (non-smooth) constraints.
  • Waveform Relaxation. S. G.-T. is the main developer of several numerical schemes based on distributed macromodels and Waveform Relaxation for fast transient analysis of complex high-speed channels terminated by nonlinear drivers and receivers. These algorithms outperform standard circuit solvers of the SPICE class and provide a comprehensive framework for Signal Integrity verification.
  • Fast simulation of transmission lines. S. G.-T. is the main developer of the Generalized Method of Characteristics technique denoted as TOPLine for the fast transient simulation of multiconductor transmission lines with frequency-dependent parameters. The technique is based on delay extraction and rational approximations of suitable transfer functions. TOPLine was demonstrated to outperform more traditional modeling and simulation schemes with no loss of accuracy. TOPLine is now embedded in some proprietary circuit solvers such as IBM PowerSPICE.
  • Methods for simulation of fields and circuits. This research activity provides a complementary approach to the mainstream macromodeling approach by the Author. The main objective is indeed the reduction of the computing time that is required by conventional simulation techniques for the numerical solution of differential problems, still preserving the possibility of accessing unknowns or variables that are inside the structure of interest. S. G.-T. is the main developer of a hybridization scheme of full-wave Finite-Difference Time-Domain solvers with behavioral models of digital drivers and receivers. Main theory includes a stability analysis for guaranteeing convergence of the simulation. This technique allows modeling and simulation of Electromagnetic Interference on interconnected structures, including the effects of nonlinear and dynamic terminations.
  • Wavelets and applications. It is well known that wavelet transforms allow optimal characterization of data, functions and operators via adaptive representations. This fact has been exploited by S. G.-T. by contributing both to theoretical and application-oriented aspects. The former include a particularly effective construction of wavelets on bounded domains preserving regularity, approximation order, stability, and spatial localization of the border functions. The investigated applications include (space-time) adaptive solution of fields and circuits, and adaptive signal processing. In particular, the latter studies were performed during a two-year research period at NASA/Goddard Space Flight Center. The wavelet transform was been applied to the problem of non-linear adaptive filtering of signals. In particular, the intrinsic time-frequency decomposition properties in the wavelet domain led to the construction of intelligent schemes for the detection and extraction of coherent (nonlinear) wave phenomena from vector time series obtained from concurrent measurements. The main tool is a partial inversion of the wavelet transform over an integration domain in the time-frequency plane that is dynamically configured based on the features of the signals. This technique has been applied to the study of atmospheric gravity waves, leading to a systematic analysis of the occurrence of such phenomena, including relevant statistics. This methodology is currently in use at NASA and NOAA labs for the automated identification of high-energy atmospheric wave phenomena.
Skills and keywords

ERC sectors

PE7_4 - (Micro and nano) systems engineering PE7_6 - Communication technology, high-frequency technology PE7_2 - Electrical engineering: power components and/or systems PE7_3 - Simulation engineering and modelling


Behavioral modeling Electromagnetic compatibility Macromodeling Model order reduction Numerical modeling Passivity Power integrity Signal integrity Transmission lines Wavelets
Scientific responsibilities and other assignments

Awards and Honors

  • URSI Young Scientist Award conferred by International Union of Radio Science, Belgium (1999)
  • Best symposium paper conferred by 17th International Zurich Symposium on Electromagnetic Compatibility, Singapore (2006)
  • IBM Shared University Research Award conferred by IBM, United States (2007)
  • Best EPEP conference paper award conferred by IEEE 17th Electrical Performance of Electronic Packaging Conference, United States (2007)
  • IEEE Transactions on Advanced Packaging Best Paper Award conferred by IEEE Components, Packaging and Manufacturing Technology Society, United States (2007)
  • IBM Shared University Research Award conferred by IBM, United States (2008)
  • Best EPEP conference paper award conferred by IEEE 17th Electrical Performance of Electronic Packaging Conference, United States (2008)
  • IBM Shared University Research Award conferred by IBM, United States (2009)
  • Best Associate Editor Award - IEEE Transactions on Components, Packaging and Manufacturing Technology conferred by IEEE Electronic Packaging Society, Italy (2020)
  • Best Conference Paper Award conferred by 2020 IEEE 29th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS), San Jose (CA) USA, United States (2020)
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Editorial boards

  • IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY (1999-2001), Associate Editor of magazine or editorial series


  • 21st IEEE Workshop on Signal and Power Integrity (SPI), Program chair
  • 20th IEEE Workshop on Signal and Power Integrity (SPI), Program chair