ADVANCED PROJECTS

May be repeated for up to 6 points of credit. Graduate-level projects in various areas of electrical engineering and computer science. In consultation with an instructor, each student designs his or her project depending on the students previous training and experience. Students should consult with a professor in their area for detailed arrangements no later than the last day of registration.

• Instructor: Xiaofan Jiang
  h-index: 24 Info
• Instructor: Ethan Katz-Bassett
  h-index: 31 Info
• Instructor: Dion Khodagholy Araghy
  Info
• Instructor: Peter Kinget
  CULPA: 1 h-index: 47 Info
• Instructor: Zoran Kostic
  CULPA: 1 h-index: 24 Info
• Instructor: Harish Krishnaswamy
  Info
• Instructor: Ioannis Kymissis
  CULPA: 4 h-index: 48 Info
• Instructor: Aurel A Lazar
  h-index: 53 Info
• Instructor: Michal Lipson
  CULPA: 1 Wikipedia h-index: 114 Info
• Instructor: Nima Mesgarani
  h-index: 35 Info
• Instructor: Debasis Mitra
  Wikipedia h-index: 61 Info
• Instructor: John W Paisley
  CULPA: 1 Info
• Instructor: Matthias Preindl
  h-index: 26 Info
• Instructor: Mingoo Seok
  h-index: 31 Info
• Instructor: Kenneth Shepard
  CULPA: 2 Wikipedia h-index: 64 Info
• Instructor: James Teherani
  h-index: None Info
• Instructor: Yannis P Tsividis
  CULPA: 4 Wikipedia Info
• Instructor: David G Vallancourt
  CULPA: 28 Info
• Instructor: Wen I Wang
  CULPA: 1 Info
• Instructor: Xiaodong Wang
  CULPA: 15 Info
• Instructor: John Wright
  CULPA: 1 h-index: 44 Info
• Instructor: Charles A Zukowski
  CULPA: 5 Wikipedia Info
• Instructor: Gil Zussman
  CULPA: 3 h-index: 39 Info
• Instructor: James Anderson
  h-index: 18 Info
• Instructor: Asaf Cidon
  h-index: 20 Info
• 1-4 points

MASTER'S THESIS

Research in an area of Electrical Engineering culminating in a verbal presentation and a written thesis document approved by the thesis instructor. Must obtain permission from a thesis instructor to enroll. Thesis projects span at least two terms: an ELEN E6001 or E6002 Advanced Project followed by the E6003 Master’s Thesis with the same instructor. Students must use a department recommended format for thesis writing. Counts towards the amount of research credit in the MS program.

• Instructor: Ioannis Kymissis
  CULPA: 4 h-index: 48 Info
• 3 points

TPCS IN COMP NEUROSCI/ENGINEERING

TPC:DEVICES&ANALYSIS FOR NEURO

Selected advanced topics in computational neuroscience and neuroengineering. Content varies from year to year, and different topics rotate through the course numbers 6090-6099. Topic: Devices and Analysis for Neural Circuits.

• T 1:10 p.m.-3:40 p.m.
• Instructor: Dion Khodagholy Araghy
  Info
• 3 points

MILLIMETER-WAVE IC DESIGN

Millimeter-Wave IC Design

Principles behind the implementation of millimeter-wave (30GHz-300GHz) wireless circuits and systems in silicon-based technologies. Silicon-based active and passive devices for millimeter-wave operation, millimeter-wave low-noise amplifiers, power amplifiers, oscillators and VCOs, oscillator phase noise theory, mixers and frequency dividers for PLLs. A design project is an integral part of the course.

• M 7:10 p.m.-9:40 p.m.
• Instructor: Harish Krishnaswamy
  Info
• 3 points

Principles of RF and Microwave Measureme

RF/Microwave Measurement

Principles behind, and techniques related to, RF and microwave simulation and measurements. S parameters; simulations and measurements for small-signal and large signal / nonlinear circuits in the time and frequency domains; noise.

• F 4:10 p.m.-6:40 p.m.
• Instructor: Shahriar Shahramian
  CULPA: 4 Info
• 3 points

APPLIED QUANTUM OPTICS

An introduction to fundamental concepts of quantum optics and quantum electrodynamics with an emphasis on applications in nanophotonic devices. The quantization of the electromagnetic field; coherent and squeezed states of light; interaction between light and electrons in the language of quantum electrodynamics (QED); optical resonators and cavity QED; low-threshold lasers; and entangled states of light.

• MW 1:10 p.m.-2:25 p.m.
• Instructor: Xiang Meng
  h-index: 8 Info
• 3 points

OPTICAL INTERCONNECTS

Introduction to optical interconnects and interconnection networks for digital systems. Fundamental optical interconnects technologies, optical interconnection network design, characterization, and performance evaluation. Enabling photonic technologies including free-space structures, hybrid and monolithic integration platforms for photonic on-chip, chip-to-chip, backplane, and node-to-node interconnects, as well as photonic networks on-chip.

• T 4:10 p.m.-6:40 p.m.
• Instructor: Keren Bergman
  CULPA: 1 Wikipedia h-index: 69 Info
• 3 points

TOPICS DATA-DRIVEN ANAL & COMP

TPC:STAT LRNING BIOL&INFO SYST

Selected advanced topics in data-driven analysis and computation. Content varies from year to year, and different topics rotate through the course numbers 6690 to 6699.

• T 4:10 p.m.-6:40 p.m.
• Instructor: Predrag R Jelenkovic
  CULPA: 1 h-index: 35 Info
• 3 points

TOPICS DATA-DRIVEN ANAL & COMP

Adv VLSI DA & Methodology

Selected advanced topics in data-driven analysis and computation. Content varies from year to year, and different topics rotate through the course numbers 6690 to 6699.

• M 1:10 p.m.-3:40 p.m.
• Instructor: Matthew M Ziegler
  Info
• 3 points

TOPICS IN COMMUNICATION

TPC:MMWAVE&APPLICATIONS FOR 5G

Advanced topics in communications, such as turbo codes, LDPC codes, multiuser communications, network coding, cross-layer optimization, cognitive radio. Content may vary from year to year to reflect the latest development in the field.

• T 1:10 p.m.-3:40 p.m.
• Instructor: Jacob Sharony
  h-index: 25 Info
• 3 points

BAYESIAN MOD MACHINE LEARNING

Basic statistics and machine learning strongly recommended. Bayesian approaches to machine learning. Topics include mixed-membership models, latent factor models, Bayesian nonparametric methods, probit classification, hidden Markov models, Gaussian mixture models, model learning with mean-field variational inference, scalable inference for Big Data. Applications include image processing, topic modeling, collaborative filtering and recommendation systems.

• R 1:10 p.m.-3:40 p.m.
• Instructor: John W Paisley
  CULPA: 1 Info
• 3 points

COMPUTER COMMUNICATNS NETWORKS

COMPUTER COMMUNCATION NETWORKS

Analytical approach to the design of (data) communication networks. Necessary tools for performance analysis and design of network protocols and algorithms. Practical engineering applications in layered Internet protocols in Data link layer, Network layer, and Transport layer. Review of relevant aspects of stochastic processes, control, and optimization.

• TR 10:10 a.m.-11:25 a.m.
• Instructor: Javad Ghaderi
  h-index: 17 Info
• 3 points

INTERNET ECON, ENG & SOCIETY

Mathematical models, analyses of economics and networking interdependencies in the internet. Topics include microeconomics of pricing and regulations in communications industry, game theory in revenue allocations, ISP settlements, network externalities, two-sided markets. Economic principles in networking and network design, decentralized vs. centralized resource allocation, “price of anarchy,” congestion control. Case studies of topical internet issues. Societal and industry implications of internet evolution.

• MW 11:40 a.m.-12:55 p.m.
• Instructor: Debasis Mitra
  Wikipedia h-index: 61 Info
• 3 points

TOPICS IN NETWORKING

TPC:NET VIRTUAL & CLOUD COMPUT

Further study of areas such as communication protocols and architectures, flow and congestion control in data networks, performance evaluation in integrated networks. Content varies from year to year, and different topics rotate through the course numbers 6770 to 6779.

• F 4:10 p.m.-6:40 p.m.
• 3 points

TOPICS IN NETWORKING

TPC:SEM ON INTERNET MEASUREMEN

Further study of areas such as communication protocols and architectures, flow and congestion control in data networks, performance evaluation in integrated networks. Content varies from year to year, and different topics rotate through the course numbers 6770 to 6779.

• W 4:10 p.m.-6:40 p.m.
• Instructor: Ethan Katz-Bassett
  h-index: 31 Info
• 3 points

TOPICS IN NETWORKING

TPC:ADV NETWORKS:A SYSTEM APPR

• TR 2:40 p.m.-3:55 p.m.
• Instructor: Ethan Katz-Bassett
  h-index: 31 Info
• 3 points

TOPICS IN NETWORKING

TPC:CONTENT STORAGE & DISTRIBU

Further study of areas such as communication protocols and architectures, flow and congestion control in data networks, performance evaluation in integrated networks. Content varies from year to year, and different topics rotate through the course numbers 6770 to 6779.

• W 7 p.m.-9:30 p.m.
• Instructor: Anwar I Walid
  CULPA: 1 Info
• 3 points

Sparse and Low-Dimensional Models for Hi

SPARSE MODELS FOR HI-D DA

Overview of theory, computation and applications for sparse and low-dimensional data modeling. Recoverability of sparse and low-rank models. Optimization methods for low-dim data modeling. Applications to imaging, neuroscience, communications, web data.

• W 1:10 p.m.-3:40 p.m.
• Instructor: John Wright
  CULPA: 1 h-index: 44 Info
• 3 points

TOPICS IN SIGNAL PROCESSING

TPC:REINFORCEMENT LEARNING

Advanced topics in signal processing, such as multidimensional signal processing, image feature extraction, image/video editing and indexing, advanced digital filter design, multirate signal processing, adaptive signal processing, and wave-form coding of signals. Content varies from year to year, and different topics rotate through the course numbers 6880 to 6889.

• F 8:10 a.m.-10 a.m.
• 3 points

TOPICS-INFORMATION PROCESSING

TPC:BIG DATA ANALYTICS

Advanced topics spanning electrical engineering and computer science such as speech processing and recognition, image and multimedia content analysis, and other areas drawing on signal processing, information theory, machine learning, pattern recognition, and related topics. Content varies from year to year, and different topics rotate through the course numbers 6890 to 6899. Topic: Big Data Analytics.

• F 7 p.m.-9:30 p.m.
• Instructor: Ching-Yung Lin
  h-index: None Info
• 3 points

TOPICS-INFORMATION PROCESSING

CODING FOR DISTRIBUT STOR

Advanced topics spanning electrical engineering and computer science such as speech processing and recognition, image and multimedia content analysis, and other areas drawing on signal processing, information theory, machine learning, pattern recognition, and related topics. Content varies from year to year, and different topics rotate through the course numbers 6890 to 6899. Topic: Quantum Computing and Communication.

• M 4:10 p.m.-6:40 p.m.
• Instructor: Alexei Ashikhmin
  Info
• 3 points

TPCS-ELEC & COMPUT ENGINEERING

Energy Stor for Elec Grid

Selected topics in electrical and computer engineering. Content varies from year to year, and different topics rotate through the course numbers 6900 to 6909.

• R 7 p.m.-9:30 p.m.
• Instructor: Mohamed Kamaludeen
  Info
• 3 points

TOPICS IN VLSI SYSTEMS DESIGN

Modern Power Mgmt. ICs

A comprehensive introduction to modern power management integrated circuits (PMIC) design. Advanced topics in power management will be introduced including: linear regulators; digital linear regulator; switch-mode power converter; control schemes for DC-DC converters; power losses in DC-DC converter; switched capacitor converters; wireless power conversion; power converter modeling and simulation; design examples. Topics may change from year to year.

• M 4:10 p.m.-6:40 p.m.
• Instructor: Xin Zhang
  Info
• 3 points

FIELDWORK

May be repeated for credit, but no more than 3 total points may be used for degree credit. Only for electrical engineering and computer engineering graduate students who include relevant off-campus work experience as part of their approved program of study. Final report required. May not be taken for pass/fail credit or audited.

• Instructor: James Anderson
  h-index: 18 Info
• Instructor: Zoran Kostic
  CULPA: 1 h-index: 24 Info
• Instructor: Xiaodong Wang
  CULPA: 15 Info
• Instructor: Debasis Mitra
  Wikipedia h-index: 61 Info
• Instructor: Aurel A Lazar
  h-index: 53 Info
• Instructor: Dion Khodagholy Araghy
  Info
• Instructor: Asaf Cidon
  h-index: 20 Info
• Instructor: Predrag R Jelenkovic
  CULPA: 1 h-index: 35 Info
• 1-1.5 points

RESEARCH I

Points of credit to be approved by the department. Requires submission of an outline of the proposed research for approval by the faculty member who is to supervise the work of the student. The research facilities of the department are available to qualified students interested in advanced study.

• Instructor: Dimitris Anastassiou
  Wikipedia Info
• Instructor: Keren Bergman
  CULPA: 1 Wikipedia h-index: 69 Info
• Instructor: Shih-Fu Chang
  CULPA: 3 Wikipedia h-index: 122 Info
• Instructor: Javad Ghaderi
  h-index: 17 Info
• Instructor: Christine P Hendon
  Wikipedia h-index: 21 Info
• Instructor: Predrag R Jelenkovic
  CULPA: 1 h-index: 35 Info
• Instructor: Xiaofan Jiang
  h-index: 24 Info
• Instructor: Ethan Katz-Bassett
  h-index: 31 Info
• Instructor: Dion Khodagholy Araghy
  Info
• Instructor: Peter Kinget
  CULPA: 1 h-index: 47 Info
• Instructor: Zoran Kostic
  CULPA: 1 h-index: 24 Info
• Instructor: Harish Krishnaswamy
  Info
• Instructor: Ioannis Kymissis
  CULPA: 4 h-index: 48 Info
• Instructor: Aurel A Lazar
  h-index: 53 Info
• Instructor: Michal Lipson
  CULPA: 1 Wikipedia h-index: 114 Info
• Instructor: Nima Mesgarani
  h-index: 35 Info
• Instructor: Debasis Mitra
  Wikipedia h-index: 61 Info
• Instructor: John W Paisley
  CULPA: 1 Info
• Instructor: Matthias Preindl
  h-index: 26 Info
• Instructor: Mingoo Seok
  h-index: 31 Info
• Instructor: Kenneth Shepard
  CULPA: 2 Wikipedia h-index: 64 Info
• Instructor: Yannis P Tsividis
  CULPA: 4 Wikipedia Info
• Instructor: David G Vallancourt
  CULPA: 28 Info
• Instructor: Wen I Wang
  CULPA: 1 Info
• Instructor: Xiaodong Wang
  CULPA: 15 Info
• Instructor: John Wright
  CULPA: 1 h-index: 44 Info
• Instructor: Charles A Zukowski
  CULPA: 5 Wikipedia Info
• Instructor: Gil Zussman
  CULPA: 3 h-index: 39 Info
• Instructor: James Anderson
  h-index: 18 Info
• Instructor: Asaf Cidon
  h-index: 20 Info
• 0-6 points

DOCTORAL RESEARCH INSTRUCTION

A candidate for the Eng.Sc.D. degree in electrical engineering must register for 12 points of doctoral research instruction. Registration in ELEN E9800 may not be used to satisfy the minimum residence requirement for the degree.

• Instructor: Ioannis Kymissis
  CULPA: 4 h-index: 48 Info
• Instructor: Peter Kinget
  CULPA: 1 h-index: 47 Info
• Instructor: Aurel A Lazar
  h-index: 53 Info
• 3-12 points