Luca Daniel

Research:

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 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 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 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 System Identification:

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 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:

L. Daniel, M. Terrovitis, “A Broad-Band 3-9GHz Low-Noise-Amplifier (LNA) in Ga-As microstrips for a receiver front-end,” May 1999.
L. Daniel, M. Sabatini, “A Band-Pass Sigma-Delta Modulator for wideband IF signals,” May 1998.
L. Daniel, A. Flores "A Low-Power Low-Voltage Fully-Differential Transconductance Amplifier for a 13-Bit Switch Capacitor A/D Converter," Dec 1997.

More Publications by our research group at MIT

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:

Last Updated Oct 2018