Thomas Marzetta
DIRECTOR NYU WIRELESS
Distinguished Industry Professor
Phone:  646.997.3028 
Email:  tlm8@nyu.edu 
Office:  370 Jay Street, 9th Fl, Brooklyn, NY 11201 

about
Thomas Marzetta is Distinguished Industry Professor at NYU Tandon School of Engineering’s Electrical and Computer Engineering Department and an Associate Director of NYU Wireless. Born in Washington, D.C., he received the Ph.D. and SB in Electrical Engineering from Massachusetts Institute of Technology in 1978 and 1972, and the MS in Systems Engineering from University of Pennsylvania in 1973. Prior to joining NYU in 2017, he had three industrial research careers: petroleum exploration (SchlumbergerDoll Research, 1978 – 1987), defense (Nichols Research Corporation, 1987 – 1995), and telecommunications (Bell Labs, 1995 – 2017). At Bell Labs, he directed the Communications and Statistical Sciences Department within the former Mathematical Sciences Research Center, and he was elected a Bell Labs Fellow. He originated Massive MIMO, one of the cornerstones of fifthgeneration wireless technology. He is lead author of the book Fundamentals of Massive MIMO.
Professor Marzetta was on the Advisory Board of MAMMOET (Massive MIMO for Efficient Transmission), an EUsponsored FP7 project, and he was Coordinator of the GreenTouch Consortium’s Large Scale Antenna Systems Project. Recognition for his contributions to Massive MIMO include the 2017 IEEE Communications Society Industrial Innovation Award, the 2015 IEEE Stephen O. Rice Prize, and the 2015 IEEE W. R. G. Baker Award. He was elected a Fellow of the IEEE in 2003, and he received an Honorary Doctorate from Linköping University in 2015.
Research Interests: Massive MIMO (MultipleInput MultipleOutput), Wireless technology

lecture series
“A Linear System Theory Approach to Wave Propagation”
The premise of this lecture series is that the traditional physicist’s approach to teaching electromagnetic theory – which entails scalar and vector potentials, the method of separation of variables, spherical coordinates, and the frequent use of special functions – obscures some of its most important implications. Instead, we treat Maxwell’s equations as descriptive of a linear space/timeinvariant system, amenable to tools of linear system theory that are familiar to signal processing engineers and communication theorists: convolutions and space/time Fourier transforms, performed in space/time Cartesian coordinates.
Rather than starting with electromagnetic wave propagation, instead, we begin with acoustic wave propagation. There are good reasons for this. First, the acoustic field is a scalar field, whereas the electromagnetic field is a vector field. Hence, the notation for the acoustic field is less cluttered than for the electromagnetic field. Second, the physics of the acoustic field is simpler than that of the electromagnetic field, and more intuitive. Third, with the exception of polarization, all of the wave propagation phenomenology associated with electromagnetics is manifested in acoustics.
The required background is linear system theory, comfort with convolutions and Fourier transforms, and familiarity with functions of complex variables.
This lecture series will benefit both signal processing researchers and communication theorists. It will equip them to understand advanced topics, such as wave equation migration filtering, wireless power transfer via evanescent wave coupling, superdirective antenna arrays, large intelligent surfaces, and holographic MIMO.
Outline
Lecture 1
 Systems of antennas and circuit theory
 Impedance matrix
 Real and reactive power
 Fundamentals of wireless power transfer
 Wireless power transfer efficiency
Lecture 2
 Introduction to acoustics
 pressure/strain relation
 distributed source
 Newton’s second law
 3D wave equation for pressure, resulting from a distributed source
 1D wave propagation
 1D planewaves
 Helmholtz equation with distributed source
 solution of Helmholtz equation for the pressure field via Green’s function
Lecture 3
 1D wave propagation (continued)
 solution of Helmholtz equation is spatial frequency domain
 review of Cauchy integral & residue theorems
 inverse spatial Fourier transform via residues
 source of limited extent: pressure field inside the source vs. outside the source
 computation of power
 selfimpedance of source
 mutual impedance between two sources
 solution of Helmholtz equation is spatial frequency domain
Lecture 4
 Solution of 3D Helmholtz equation for pressure in spatial Fourier domain
 residues, and the planewave representation of pressure field
 ordinary plane waves and evanescent plane waves
 Planewave representation of spherical wave
 Greene’s function representation for pressure field
Lecture 5
 Pressure field: inside distributed source vs. outside
 Degrees of freedom associated with an array of sources
 Real power and conservation of energy
Lecture 6
 Equivalent ways of computing power
 Direct integration over distributed source
 Power carried by propagating planewaves
 Farfield power
Lecture 7
 Selfimpedance of distributed source
 Mutual impedance between two distributed sources
 Physically realistic source models
Lecture 8
 Review of Maxwell’s equations with distributed electric/magnetic current sources
 Direct solution of Maxwell’s equations in space/time Fourier domain for E and H fields
 Residues, and the planewave representation of the electromagnetic field
Lecture 9
 Power: real and reactive
 Poynting vector
Lecture 10
 Electromagnetic sources
 Selfimpedance and mutual impedance
 Systems of antennas and circuit theory
EDUCATION
University of Pennsylvania, 1973
Master of Science, Systems Engineering
Massachusetts Institute of Technology, 1978
Doctor of Philosophy, Electrical Engineering
Massachusetts Institute of Technology, 1972
Bachelor of Science, Electrical Engineering