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Luca Daniel
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Research:
Selected Publications
on Tensors and Handling High Dimensional Data
- K Batselier ,
W Yu, L Daniel, N Wong, “Computing Low-Rank Approximations of
Large-Scale Matrices with the Tensor Network Randomized SVD”, SIAM
Journal on Matrix Analysis and Applications, 39(3), 1221–1244, Aug
2018.
- Z Zhang, T-W Weng
and L Daniel, “Big-data tensor recovery for high-dimensional
uncertainty quantification of process variations,” IEEE Trans.
Component, Packaging and Manufacturing Technology. Page(s): 687 –
697 Volume: 7, Issue: 5, May 2017. (Best Paper
Award IEEE Trans. Components, Packaging and Manufacturing Technology)
- Z Zhang, K Batselier, H Liu, L Daniel, N Wong “Tensor
Computation: A New Framework for High-Dimensional Problems in EDA, IEEE
Transactions on Computer-Aided Design of Integrated Circuits and Systems”,
pp. 521-536, vol. 36, no. 4, April 2017. (IEEE Transaction Keynote Paper)
- Z. Zhang, T.-W. Weng, L. Daniel, "A big-data approach to
handle process variations: uncertainty quantification by tensor
recovery," IEEE Workshop on Signal and Power Integrity, 4 pages, Turin, Italy,
May 2016. (SPI
Best Paper Award)
- H. Liu, L. Daniel, N. Wong: Model
Reduction and Simulation of Nonlinear Circuits via Tensor Decomposition.
IEEE Trans. on CAD of Integrated Circuits and Systems 34(7): 1059-1069 Jul
2015.
- H. Liu, X. Y.Z. Xiong,
K. Batselier, L. Jiang,
L. Daniel, Ngai Wong:
STAVES: Speedy Tensor-Aided Volterra-Based
Electronic Simulator. International Conference on Computer Aided Design, Austin, TX
Nov. 2015: 583-588.
- Z Zhang, X Yang, I V. Oseledets, G E. Karniadakis, L. Daniel: Enabling High-Dimensional Hierarchical
Uncertainty Quantification by ANOVA and Tensor-Train Decomposition. IEEE
Trans. on CAD of Integrated Circuits & Systems 34(1): 63-76 (Jan
2015). (TCAD Popular Paper)
Selected Publications
on Quantification of the Lack of Robustness in Deep Neural Networks
- A Boopathy,
T-W Weng, P-Y Chen, S Liu,
L Daniel, “CNN-Cert: An Efficient Framework for Evaluating
Robustness of Convolutional Neural
Networks”, AAAI Conference on Artificial Intelligence, Jan 2019
- H Zhang1, T-W Weng1, P-Y Chen,
C-J Hsieh, L Daniel,"Efficient Neural
Network Robustness Evaluation with General Activation Functions"NeurIPS:
Conference on Neural Information Processing Systems, p:4944-4953, Dec 2018
(1Equal contribution)
- T-W Weng*,
H Zhang*, P-Y Chen, A C. Lozano, C-J Hsieh, L Daniel: “On Extensions
of CLEVER: A Neural Network Robustness Evaluation Algorithm,” GlobalSIP: IEEE Global Conference on Signal and
Information Processing, Nov 2018 (*Equal contribution).
- T-W Weng1, H Zhang1, H Chen, Z Song, C-J
Hsieh, D Boning, I Dhillon, Luca Daniel, “Toward Fast Computation
of Robustness for ReLU Networks”, ICML:
International Conference on Machine Learning, Jun 2018 (1Equal contribution)
- T-W Weng1, H Zhang1, P-Y Chen, J Yi, D Su,
Y Gao, C-J Hsieh, L Daniel, “Evaluating the
Robustness of Neural Networks: An Extreme Value Theory Approach”,
ICLR: International Conference on Learning Representations, Vancouver, May
2018 (1Equal contribution)
- T-W. Weng, R. Mazumder, L.
Daniel, “Computing Least Trimmed Squares Regression to Certifiable
Optimality”, NIPS - Conf. on Neural Information Processing Systems
– Women in Machine Learning Workshop, Long Beach, CA, Dec. 2017.
- T-W Weng, L. Daniel, "Robust PCA through Robust
Optimization, NIPS - Conf. on Neural Information Processing Systems
– Women in Machine Learning Workshop, Long Beach, CA, Dec 2017.
Selected Publications
on Non VonNeumann Computing Architectures for Big
Data:
- P Maffezzoni, L
Daniel, “Exploiting
Oscillator Arrays As Randomness Sources for Cryptographic Applications.
IEEE Trans. on CAD of Integrated Circuits and Systems,” 37(12):
2999-3007, Dec 2018
- P. Maffezzoni, B. Bahr, Z. Zhang, and L. Daniel, “Analysis
and design of Boolean associative memories made of resonant oscillator
arrays,” IEEE Trans. Circuits and Systems I: Regular Papers, vol.
63, no. 11, pp. 1964-1973, Nov. 2016.
- P. Maffezzoni, B. Bahr, Z. Zhang, L. Daniel: Oscillator Array
Models for Associative Memory and Pattern Recognition. IEEE Trans. on
Circuits and Systems 62-I(6): 1591-1598 (Jun
2015).
Selected Publications
on System Identification:
- T. Bradde, S. Grivet-Talocia, G. C. Calafiore,
A. Proskurnikov, Z. Mahmood, L. Daniel, On Dissipativity Conditions for Linearized
Models of Locally Active Circuit Blocks, In: Electrical Performance of
Electronic Packaging and Systems (EPEPS), 2020. (EPEPS Best Conference Paper Award)
- Z. Mahmood, S. Grivet-Talocia, G.C. Calafiore, L. Daniel (2014). Optimal passivity enforcement of state-space
models via localization methods. In: Electrical Performance of Electronic
Packaging and Systems (EPEPS), 2014 IEEE 23rd Conference on, Portland, OR,
26-29 Oct. 2014. pp. 89-92 (EPEPS Best student paper award)
- Y.-C. Hsiao and L. Daniel,
“Sparse Basis Pursuit on Automatic Nonlinear Circuit
Modeling,” in Proceedings of the IEEE 10th International Conference
on ASIC, Hong Kong, October 2013.
- Z. Mahmood, L. Daniel,
"Guaranteed Passive Parameterized Modeling of Multiport
Passive Circuit Blocks", Proc. of TECHCON11, Austin TX, Sept. 2011. (Techcon Best Paper & Presentation Award).
- Z. Mahmood, B. Bond, L. Daniel,
“System Level Modeling and Simulation of Analog Circuits Using
Semidefinite Programming Based Compact Modeling Techniques”, Proc.
of TECHCON 2010 conference, Austin,
TX, 13-14 Sept. 2010. (Techcon Best Paper and Presentation Award).
- B. Bond, Z.
Mahmood, R. Sredojevic, Y. Li, A. Megretski, V. Stojanovic, Y.
Avniel, L. Daniel, “Compact
Stable Modeling of Nonlinear Analog Circuits using System Identification
via Semi-Definite Programming and Robustness Certification,”
IEEE Trans. on Computer Aided Design of Integrated Circuits and Systems,
vol. 29,no 8, p. 1149-1162, August 2010.
- K. C. Sou, A. Megretski, L. Daniel,
"A
Quasi-Convex Optimization Approach to Parameterized Model Order Reduction",
IEEE Transactions on Computer-Aided Design of Integrated Circuits and
Systems, vol. 27, no. 3, p. 456-469, March 2008. (85 citations as of Apr 2016).
Selected Publications
on Model Order Reduction:
- Z. Zhang, I. M. Elfadel, L. Daniel,
"Model order reduction of fully parameterized systems by recursive
least square optimization," Int. Conf. Computer-Aided Design (ICCAD),
pp. 523-530, San Jose, CA, Nov. 2011. (IEEE/ACM
William J. McCalla ICCAD Best Paper Award
Nomination)
- Z. Zhang, Q. Wang, N. Wong, L.
Daniel, “A moment-matching scheme for the passivity-preserving model
order reduction of indefinite descriptor systems with possible polynomial
parts,” in Proc. Asia and South Pacific Design Automation Conference
(ASP-DAC), pp. 49-54, Yokohama, Japan, Jan. 2011. (ASP-DAC Best Paper Award Nomination)
- B. Bond, L.
Daniel, "Stable
Reduced Models for Nonlinear Descriptor Systems Through Piecewise-Linear
Approximation and Projection", IEEE Transactions on
Computer-Aided Design of Integrated Circuits and Systems, vol. 28, no. 10,
p. 1467-1480, October 2009.
- B. Bond and L.
Daniel, "Guaranteed
Stable Projection-Based Model Reduction for Indefinite and Unstable Linear
Systems" Proceedings of the IEEE Conference on Computer-Aided
Design, San Jose, p. 728-35, November 2008. (IEEE/ACM
William J. McCalla ICCAD Best Paper Award).
- L. Daniel, C. S. Ong, S. C. Low, K. H. Lee, J. White, "A Multiparameter Moment
Matching Model Reduction Approach for Generating Geometrically
Parameterized Interconnect Performance Models", IEEE Transaction
on Computer Aided Design of Integrated Circuits and Systems, vol. 23, no.
5, p. 678-93, May 2004. (More than 290 citations as of April 2016).
- J. Phillips, L.
Daniel, L. M. Silveira, "Guaranteed
Passive Balancing Transformations for Model Order Reduction",
IEEE/ACM 39th Design Automation Conference, New Orleans, LA, p. 52-7, June
2002. (DAC
Best Paper Award, More than 290 citations as of April 2016).
Selected Publications
on Magnetic Resonance and Biomedical Systems:
- B Guerin, J
Villena, A Polimeridis, E Adalsteinsson, L Daniel, J K White, L Wald, “The ultimate signal-to-noise ratio in
realistic body models”. Journal of Magnetic Resonance in Medicine,
78: C1. doi:10.1002/mrm.26449 Nov 2017 (Nov 2017 Journal Cover)
- J E C Serrallés, I Georgakis, A G
Polimeridis, L Daniel, J K White, D K Sodickson,
R Lattanzi, "Volumetric Reconstruction of
Tissue Electrical Properties from B1+ and MR Signals Using Global Maxwell
Tomography: Theory and Simulation Results, ISMRM: International Society
for Magnetic Resonance in Medicine, Apr 2017. (ISMRM Best Poster Award Finalist)
- J.E.C. Serrallés, A.G. Polimeridis, M.V. Vaidya,
G. Haemer, J.K. White, D.K. Sodickson,
L. Daniel, R. Lattanzi. “Global Maxwell
Tomography: a novel technique for electrical properties mapping without symmetry
assumptions or edge artifacts”, ISMRM Singap,
May2016. (ISMRM Best Poster Award
Finalist)
- I. Butterworth, J. Seralles,
C.S. Mendoza, L. Giancardo, L. Daniel: A
wearable physiological hydration monitoring wristband through multi-path
non-contact dielectric spectroscopy in the microwave range. IEEE MTT-S
2015 (IMWS-BIO), Taipei,
Page(s):60-61 Sep. 2015 (IMWS-BIO Best Student Paper Award)
- J. Fernandez Villena, A. G.
Polimeridis, B. Guerin, Y. Eryaman, L. L. Wald, E. Adalsteinsson, J.
K. White, and L. Daniel. “Fast Electromagnetic Analysis of Transmit
RF Coils based on Accelerated Integral Equation Methods”.
International Society for Magnetic Resonance in Medicine (ISMRM) 2014
Annual Meeting. Milan,
Italy May,
2014. (ISMRM
Summa cum Laude Merit Award)
- J. F. Villena, A.
G. Polimeridis, B. Guerin, Y. Eryaman, L. L. Wald, E. Adalsteinsson, J.
White, and L. Daniel, “Fast Electromagnetic Analysis of Transmit RF
Coils based on Accelerated Integral Equation Methods”, International
Society for Magnetic Resonance in Medicine (ISMRM) 2014 Annual Meeting. Milan, Italy.
May 2014. (ISMRM
Summa cum Laude Merit Award)
- Z. Mahmood, B. Guérin, B. Keil, E. Adalsteinsson, L. L. Wald
and L. Daniel. “Design of a Robust Decoupling Matrix for High Field
Parallel Transmit Arrays”. International Society for Magnetic
Resonance in Medicine (ISMRM) 2014 Annual Meeting. Milan, Italy
May, 2014. (ISMRM Magna Cum Laude Merit Paper Award).
Selected Publications
on Inverse Problems
- J Serralles, A
Polimeridis, L Daniel, D Sodickson, R Lattanzi, “Global Maxwell Tomography with Match
Regularization for accurate electrical properties extraction from noisy
B1+ measurements,” ISMRM: Intern Society for Magnetic Resonance in
Medicine,” Jun 2018.
- J.E.C. Serrallés, E. Boeru, A.G.
Polimeridis, D.K. Sodickson, J.K. White, L.
Daniel, R. Lattanzi, “Investigation of the
Feasibility of Inverse Scattering via Global Maxwell Tomography”,
ICEAA 17 Intern. Conference on Electromagnetics in Advance Applications, Verona, Italy September 2017.
- J E C Serrallés, I Georgakis, AG
Polimeridis, L Daniel, J K White, D K Sodickson,
R Lattanzi, "Volumetric Reconstruction of
Tissue Electrical Properties from B1+ and MR Signals Using Global Maxwell
Tomography: Theory and Simulation Results, ISMRM Apr 2017. (ISMRM Best Poster Award Finalist)
- R. Lattanzi, D. Sodickson, J.C.
Serralles, A. Polymeridis, L. Daniel, J. K.
White, Jacob, “Non-invasive Determination of Electrical Properties
of Tissues and Materials Using Magnetic Resonance Measurements”, US
Patent 2017/0303813 A1. Provisional Application 22, April 2016. Filed
April 31, 2017
- J.E.C. Serrallés, A.G. Polimeridis, M.V. Vaidya,
G. Haemer, J.K. White, D.K. Sodickson,
L. Daniel, R. Lattanzi. “Global Maxwell
Tomography: a novel technique for electrical properties mapping without symmetry
assumptions or edge artifacts”, ISMRM Singap,
May2016. (ISMRM Best Poster Award
Finalist)
- J. H. Lee, D. Vasilyev, A. Vithayathil, L. Daniel, and J. White, "Accelerated Optical Topography Inspection Using
Parameterized Model Order Reduction", IEEE International
Microwave Symposium, Los Angeles, CA, p. 4, June 2005.
Selected Publications
on Stochastic Electromagnetic Solvers:
- Z Zhang, S El-Henawy, A Sadun,
R Miller, L Daniel, ‘Adjoint-Based
Sensitivity Analysis for Silicon Photonic Variations’, IEEE MTT-S:
Intl. Conf. on Numerical Electromagnetic and Multiphysics
Modeling and Optimization, Cambridge,
May 2019. (Invited paper).
- P Maffezzoni, Z.
Zhang, S. Levantino, L Daniel,
“Variation-Aware Modeling of Integrated Capacitors Based on Floating
Random Walk Extraction,” TCAD: IEEE Transaction on Computer Aided
Design of Integrated Circuits and Systems, 37(10): 2180-2184, Oct 2018.
- W. Yu B. Zhang, C.
Zhang, H Wang, L. Daniel, “Utilizing Macromodels
in Floating Random Walk Based Capacitance Extraction", IEEE/ACM
Design Automation Conference in Europe, Dresden March 2016. (IEEE DATE Best Paper Award)
- T. Moselhy, L.
Daniel, “Variation-Aware
Stochastic Extraction with Large Parameter Dimensionality: Review and
Comparison of State of the Art Intrusive and Non-Intrusive Techniques”,
International Symposium on Quality Electronic Design (ISQED), Santa Clara, CA
March 2011. (Invited Paper)
- T. Moselhy, I.
Elfadel, L. Daniel, “A Markov
Chain Based Hierarchical Algorithm for Capacitance Extraction”,
IEEE Trans. on Advanced Packaging, vol. 33,no 4,p. 818-828, Nov. 2010.
(Invited Paper).
- T. El-Moselhy, L.
Daniel, “Stochastic Dominant
Singular Vectors Method for Variation-Aware Extraction,”
IEEE/ACM Design Automation Conf., Anaheim,
CA, June 2010.
- T. Moselhy, L.
Daniel, “Variation-Aware
Interconnect Extraction using Statistical Moment Preserving Model Order
Reduction,” IEEE Conference on Design Automation and Test in Europe (DATE), March 2010. (Best
Paper Award Nomination).
Selected Publications
on Electromagnetic Integral Equation Solvers:
- Y.C. Hsiao, L. Daniel. "CAPLET:
A Highly Parallelized Field Solver for Capacitance Extraction Using
Instantiable Basis Functions." IEEE Trans on Computer-Aided Design of
Integr. Circuits & Systems, Vol:35, Issue:3 March 2016.
- J. F. Villena, A.
G. Polimeridis, B. Guerin, Y. Eryaman, L. L. Wald, E. Adalsteinsson, J.
White, and L. Daniel, “Fast Electromagnetic Analysis of Transmit RF
Coils based on Accelerated Integral Equation Methods”, International
Society for Magnetic Resonance in Medicine (ISMRM) 2014 Annual Meeting. Milan, Italy.
May 2014. (Summa
cum Laude Merit Award)
- A. G. Polimeridis, J. Fernandez
Villena, L. Daniel and J. K. White. “Robust J-EFVIE Solvers Based on
Purely Surface Integrals”. Proc. International Conference on
Electromagnetics in Advanced Applications-ICEAA-IEEE APWC, pp. 724-727, Torino,
Italy,
September 2013.
- T. Moselhy , X. Hu,
L. Daniel, "pFFT
in FastMaxwell: A Fast Impedance Extraction Solver for 3D Conductor
Structures over Substrate", IEEE Conference on Design Automation
and Test in Europe (DATE), p. 1194-1199, April 2007. (DATE Best Paper Award Nomination).
- L. Daniel, A. Sangiovanni-Vincentelli,
J. White, "Proximity Templates for Modeling of Skin and
Proximity Effects on Packages and High Frequency Interconnect",
IEEE/ACM International Conference on Computer Aided Design, San Jose, CA,
p. 326-33, November 2002.
- L. Daniel, A. Sangiovanni-Vincentelli, J.
White, "Electromagnetic Modeling using Conduction Modes as
Global Basis Functions", in Proceedings of the IEEE 9th
Conference on Electrical Performance of Electronic Packages and Systems,
Scottsdale, AZ, p. 203-6, October 2000. (IBM
Corporation EPEPS Prize Paper Award).
Selected Publications on
Stochastic Circuit Simulators and Stochastic ODE Solvers:
- A Bernardini, P Maffezzoni, L Daniel, A Sarti: “Wave-Based Analysis of Large Nonlinear
Photovoltaic Arrays,” TCAS: IEEE Transaction on Circuits and Systems
65-I(4): 1363-1376, Apr 2018
- Z. Zhang, T.-W.
Weng, L. Daniel, "A big-data approach to handle process variations:
uncertainty quantification by tensor recovery," IEEE Workshop on
Signal and Power Integrity, 4 pages, Turin,
Italy, May
2016. (SPI
Best Paper Award)
- Z. Zhang, PhD
Thesis (advisee): Uncertainty Quantification for Integrated Circuits and Microelectromechanical Systems (PDF file). (2016 ACM
Outstanding Ph.D Dissertation Award in EDA, 2015
MIT Microsystems Technology
Laboratory MTL Doctoral Dissertation Seminar Award)
- Zheng Zhang, Xiu Yang, Ivan V. Oseledets,
George E. Karniadakis, Luca
Daniel: Enabling High-Dimensional Hierarchical Uncertainty Quantification
by ANOVA and Tensor-Train Decomposition. IEEE Trans. on CAD of Integrated
Circuits and Systems 34(1): 63-76 (2015). (TCAD Popular Paper).
- Z. Zhang, X. Yang,
G. Marucci, P. Maffezzoni, I. M. Elfadel, G. Karniadakis and L. Daniel, ``Stochastic testing
simulator for integrated circuits and MEMS: Hierarchical and sparse
techniques,'' IEEE Custom Integrated Circuits Conf. (CICC), 8 pages, San
Jose, CA., Sept. 2014. (CICC
Invited Paper, Best Paper Nomination)
- Z. Zhang, T.
El-Moselhy, I. M. Elfadel and L. Daniel, “Stochastic
testing method for transistor-level uncertainty quantification based on
generalized polynomial chaos,” IEEE Trans. Computer-Aided Design
of Integrated Circuits and Systems, vol. 32, no. 10, pp. 1533-1545,
October 2013. (IEEE Trans on Computer Aided Design Best Paper Award)
Selected Publications on
Design Optimization
- L D'Alessandro, B Bahr, L Daniel, D
Weinstein, R Ardito, “Shape optimization of solid-air porous phononic crystal slabs with widest full 3D bandgap for in-plane acoustic waves.” J. Comput. Physics 344: 465-484, Sep 2017.
- T-W. Weng, D. Melati, A. Melloni, L.
Daniel, "Stochastic Simulation and Robust Design Optimization of
Integrated Photonic Filters," Nanophotonics
6 (1), 299-308, Jan 2017 (invited
paper)
- L. D’Alessandro, B. Bahr, L.
Daniel, D. Weinstein, R. Ardito: BESO Approach to Topology Optimization of
GaN Phononic Crystals. ECCOMAS, Crete, June 2016.
- B. Bahr, L. Daniel, D. Weinstein: “Optimization of Unreleased
CMOS-MEMS RBTs.” IEEE International Frequency Control Symposium IFCS
2016, New Orleans, LA, May 2016.
- T-W. Weng, L Daniel, "Robust Optimization for Silicon
Photonics Process Variations", SIAM Conference on Uncertainty
Quantification (UQ16), Lousanne, April 2016.
- L. Daniel, C. R. Sullivan, S. R. Sanders. “Design of Microfabricated
Inductors”, IEEE Transactions on Power Electronics, vol. 14, no.
4, p. 709-23, July 1999. (IEEE Power Electronic
Society Award for Best Journal Paper in the year 1999).
Selected Publications
on Electrical Power Distribution:
- G Gruosso, P Maffezzoni, Z Zhang, L
Daniel, “Probabilistic load flow methodology for distribution
networks including loads uncertainty”, Intern Journal of Electrical
Power & Energy Systems 106, 392-400, March 2019.
- G Gruosso, P Maffezzoni, G S Gajani, Z Zhang, L Daniel, ‘Uncertainty-aware
Computational Tools for Power Distribution Networks including Electrical
Vehicle Charging and loads profiles’, IEEE Access, 2019
- G Gruosso, R Netto, P
Maffezzoni, Z Zhang, L Daniel, “Low Voltage Electrical Distribution
Network Analysis under load variation”, ICIT: IEEE International
Conference on Industrial Technology, Lyon, Feb 2018
Selected Publications
on Silicon Photonics:
- Z Zhang, S El-Henawy, A Sadun,
R Miller, L Daniel, ‘Adjoint-Based Sensitivity
Analysis for Silicon Photonic Variations’, IEEE MTT-S: Intl. Conf.
on Numerical Electromagnetic and Multiphysics
Modeling and Optimization, Cambridge,
May 2019. (Invited paper).
- T-W. Weng, D. Melati, A. Melloni, L.
Daniel, "Stochastic Simulation and Robust Design Optimization of
Integrated Photonic Filters," Nanophotonics
6 (1), 299-308, Jan 2017 (invited
paper)
- D Melati, TW Weng, L Daniel, A Melloni,
“Stochastic Optimization of Photonic Circuits by Combined
Generalized Polynomial Chaos Model”, signal Processing in Photonic
Communications, JTu4A. 9, July 2016
- C.D. Samolis, L. Daniel, A hybrid
FDTD-transfer matrix method applicable to adiabatic photonic simulation.
31st International Review of Progress in Applied Computational Electromagnetics
(ACES), March 2015.
- T-W Weng, Z Zhang, Z Su, Y Marzouk, A Melloni, L Daniel "Uncertainty quantification of
silicon photonic devices with correlated and non-Gaussian random
parameters." Optics express 23, no. 4 (Feb
2015): 4242-4254.
Selected Publications
on Oscillators:
- P Maffezzoni, L
Daniel, “Exploiting
Oscillator Arrays As Randomness Sources for Cryptographic Applications.
IEEE Trans. on CAD of Integrated Circuits and Systems,” 37(12):
2999-3007, Dec 2018
- Bichoy Bahr, PhD Thesis (advisee):
monolithically integrated MEMS resonators and oscillators in standard IC
technology June 2016. (MIT Microsystems Technology Laboratory (MTL) Doctoral Dissertation
Seminar Award 2016)
- P. Maffezzoni, B. Bahr, Z. Zhang, L. Daniel: Reducing Phase Noise in
Multi-Phase Oscillators. IEEE Trans. on Circuits and Systems 63-I(3): 379-388. March 2016.
- P. Maffezzoni, B. Bahr, Z. Zhang, L. Daniel: Analysis and Design of
Weakly Coupled LC Oscillator Arrays Based on Phase-Domain Macromodels. IEEE Trans. on CAD of Integrated Circuits
and Systems 34(1): 77-85 (Jan 2015). (TCAD Popular Paper)
- P. Maffezzoni, Z. Zhang and L.
Daniel, "A study of deterministic jitter in crystal
oscillators," in IEEE Trans. Circuits and Systems I, vol. 61-I, no.4,
pp. 1044-1054, March 2014. (TCAD
Popular Paper)
- Z. Zhang, T. El-Moselhy, P. Maffezzoni, I. M. Elfadel
and L. Daniel, "Efficient uncertainty quantification for the periodic
steady state of forced and autonomous circuits," IEEE Trans. Circuits
and Systems II: Express Briefs (TCAS-2), vol. 60, no.10, pp. 687-691, October 2013.
Selected Publications
in Micro-Electro-Mechanical Systems
- B. Bahr, L. Daniel, D. Weinstein:
“Optimization of Unreleased CMOS-MEMS RBTs.” IEEE
International Frequency Control Symposium IFCS 2016, New Orleans, LA,
May 2016.
- Z. Zhang, PhD
Thesis (advisee): Uncertainty Quantification for Integrated Circuits and Microelectromechanical Systems (PDF file). (2016 ACM
Outstanding Ph.D Dissertation Award in EDA, 2015
MIT Microsystems Technology
Laboratory MTL Doctoral Dissertation Seminar Award)
- Z. Zhang, X. Yang, G. Marucci, P. Maffezzoni, I. M. Elfadel, G. Karniadakis and L. Daniel, ``Stochastic testing
simulator for integrated circuits and MEMS: Hierarchical and sparse
techniques,'' IEEE Custom Integrated Circuits Conf. (CICC), 8 pages, San
Jose, CA., Sept. 2014. (CICC
Invited Paper, Best Paper Nomination)
- Z. Zhang, M. Kamon and L. Daniel,
“Continuation-based pull-in and lift-off simulation algorithms for microelectromechanical systems,” IEEE/ASME
Journal of Micro- electromechanical Systems, volume 23, issue 5, pages
1084-1093, (2014).
- R. Marathe, B. Bahr, W. Wang, Z. Mahmood, L. Daniel and D.
Weinstein, “Resonant Body Transistors in IBM’s 32nm SOI CMOS
Technology”, IEEE Journal of Micro-Electro-Mechanical Systems, vol: PP, no. 99, October 2013.
Selected Publications
on Semiconductor Devices
- P. Maffezzoni, L. Daniel, N. Shukla, S. Datta, A. Raychowdhury: Modeling and Simulation of Vanadium
Dioxide Relaxation Oscillators. IEEE Trans. on Circuits & Systems
62(9):2207-2215 Sep 2015 (TCAS1
Popular Paper)
- L. Yu, O. Mysore, L. Wei,
L. Daniel, D. A. Antoniadis, I. M. Elfadel, D. S. Boning, “An
ultra-compact virtual source FET model for deeply-scaled devices:
Para,” IEEE/ACM Asia and South Pacific Design Automation Conference,
pp. 521-526, Yokohama, Japan, January 2013.
Selected Publications
on Power Electronics and Micro-Fabrication Process Development:
- L. Daniel, C. R. Sullivan, S. R. Sanders. “Design of Microfabricated
Inductors”, IEEE Transactions on Power Electronics, vol. 14, no.
4, p. 709-23, July 1999. (Power Electronic
Society Award for Best Journal Paper in the year 1999).
- L. Daniel,
"Design and Fabrication of MicroInductors
for DC/DC Power Converters," Laurea Thesis,
Universita' degli Studi di Padova, Jun 1996
- L. Daniel, C. R. Sullivan and S. R. Sanders, "Design of Microfabricated Inductors", in
Proceedings of the 27th Annual IEEE Power Electronics Specialists
Conference, Baveno, Italy, pt. 2, vol. 2, p.
1447-55, June 1996.
Selected Work on
Analog Integrated Circuits:
Public Domain Open
Source Software by our research group at MIT:
- FastMaxwell,
[by Tarek El-Moselhy] An open-source, full-wave, 3D, electromagnetic solver
for efficient extraction of interconnect structures above a substrate. The
code is accelerated via the efficient discrete complex image method,
efficient full-wave integration routines and an iterative precorrected
fast Fourier transform matrix vector product. The code has been tested on
a variety of large scale (up to 300,000 unknowns) structures.
- Caplet [by YuChung Hsiao] A
C++ open source capacitance extraction. Specialized instantiable basis
function templates move the computational bottleneck of this integral
equation solver from the non-embarrassingly parallelizable matrix solver to
the embarrassingly parallelizable matrix setup phase. 90% parallel
efficiencies have been demonstrated on tens of cores.
“Real-time” capacitance extraction performance (could be used
to generate 3D field solver accurate parasitic capacitance values while
dragging and stretching wires with the mouse). CAPLET can directly handle
GDS2 layout files into capacitance matrices in both GUI and command line
interfaces. The internal extraction algorithm is specialized for VLSI interconnect structures but not exclusively, as long as
the structure is of Manhattan
geometry and embedded in uniform dielectric.
- Squid (stable
quasiconvex identification) [by Kin
Cheong Sou] An open-source matlab tool for
the generation of reduced order linear system models from available
transfer function data points. The tool is based on a quasi-convex
relaxation of a system identification problem subject to stability and
passivity constraints.
- mmbasic: [by Brad
Bond] Basic Moment Matching Tools (Matlab, Octave). A collection of Matlab
functions for model reduction of linear systems via moment matching. This
is intended as a teaching tool to illustrate how moment matching works.
- newton1d: [by Brad Bond] Simple 1-D Newton solver (Matlab, Octave). A simple
1-dimensional Newton
solver for Matlab. Plots each linearization as Newton
progresses, a useful tool for teaching/learning about Newton's method and when it has trouble
converging.
- SMORES: [by Brad Bond] Simulation and Model Order
Reduction of Electrical Systems. A Matlab circuit simulator that reads
spice-like netlists and performs several types
of analysis.
- Stins (stable identification
of nonlinear systems) [Brad Bond], A public domain open source
matlab code for generating guaranteed stable compact models of nonlinear
analog circuit blocks from input/output data (e.g. low noise amplifiers,
mixers, or power amplifiers).
- STPWL: [by Brad Bond] Stabilized Trajectory PieceWise Linear model reduction. This is a collection
of Matlab functions for generating stable trajectory piecewise linear
reduced models for nonlinear systems.
- Mems.
[by Brad Bond] A set of Matlab functions
describing a dynamical system model of a MEMS switch.
- SpectralProjector:
[by Zheng
Zhang] Spectral projector computation, index checking and system
decomposition for linear DAEs (or linear
time-invariant descriptor systems)
- M2VerilogA:
[by Zohaib Mahmood] A wrapper
class which takes in S-parameter or Z-parameter file in `.snp' touchstone
format or .mat file in matlab and generates a compact dynamical model. The
code incorporates binary search to find minimum system order for given
error bound. The final model is saved in a verilogA file which can be
easily interfaced with commercial simulators such as spectre.
- DecouplingMatrix_MRI
[by Zohaib Mahmood] open source
MATLAB code for automated design of a decoupling matrix connected between
the power amplifiers and coupled RF arrays. This decoupling matrix mixes
the input signals and transforms the impedance to ensure all forward power
is delivered to the load
- MARIE [by Athanasios Polimeridis and Jorge Villena] -
Magnetic Resonance Integral Equation suite. An open source MATLAB code for
the electromagnetic analysis of high field MRI problems with realistic
human body models, including transmit and receive coil analysis.
Teaching:
- Introduction
to modeling & simulation of complex & multi-disciplinary dynamical
systems (Masdar: January16; PoliMilano: Summer16; Univ. Pisa: June17,
HKUST June18).
- MIT Grad.
2.096/6.336/16.910 Introduction to Numerical Simulation (Fall04,
Fall05, Fall06, Fall07, Fall08, Fall09, Fall10, Fall11, Fall12, Fall13,
Fall14, Fall16, Fall17).
- MIT Grad.
2.097/6.339/16.920 Numerical Methods for Partial Differential Equations
(Fall07, Fall11).
- MIT Undergrad. 6.013
Electromagnetics & Applications (Spring10, Spring11, Spring12, Spring13,
Spring14, Spring15, Spring16, Spring17, Spring18)
- MIT Undergrad. 6.003 Signals and Systems (Spring03, Spring04,
Spring05, Spring06, Spring07, Spring08, Spring09)
- Introduction to
Model Order Reduction (MIT: Fall05, Spring06; Univ. Pisa: Summer06, Summer09; PoliTorino:
Summer11, Summer12; SkolTech Moscow: January13, Fall13, Fall14, Fall15;
PoliMilano: Summer14, Summer15,; Tsinghua: Summer15).
- MIT Undergrad.
6.041 Probabilistic Systems Analysis and Applied Probability (Fall03)
- UCB Grad.
EE219A Computer Aided Verification of Electronic Circuits and Systems
(Fall98)
Hobbies:
accessibility.mit.edu