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.
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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
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Instructor:
Peter Kinget
CULPA: 1 h-index: 47 Info -
Instructor:
Zoran Kostic
CULPA: 1 h-index: 24 Info -
Instructor:
Harish Krishnaswamy
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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:
Tanvir Ahmed Khan
Info -
Instructor:
Yannis P Tsividis
CULPA: 4
Wikipedia
Info
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Instructor:
David G Vallancourt
CULPA: 28
Info
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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
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Instructor:
Gil Zussman
CULPA: 3
h-index: 39
Info
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Instructor:
Alexander Gaeta
Wikipedia h-index: 89 Info -
Instructor:
Savannah Eisner
Info -
Instructor:
James Anderson
h-index: 18 Info -
Instructor:
Asaf Cidon
h-index: 20 Info -
Instructor:
Xiang Meng
h-index: 8 Info -
Instructor:
Micah Goldblum
Info - 1-4 points
MOS TRANSISTORS
Operation and modeling of MOS transistors. MOS two- and three-terminal structures. The MOS transistor as a four-terminal device; general charge-sheet modeling; strong, moderate, and weak inversion models; short-and-narrow-channel effects; ion-implanted devices; scaling considerations in VLSI; charge modeling; large-signal transient and small-signal modeling for quasistatic and nonquasistatic operation.
- T 4:10 p.m.-6:40 p.m.
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Instructor:
Yannis P Tsividis
CULPA: 4
Wikipedia
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.
- R 4:10 p.m.-6:40 p.m.
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Instructor:
Harish Krishnaswamy
Info - 3 points
Power Management Integrated Circuits
Power Mgmt Integrated Cir
Modern power management integrated circuits (PMIC) design introduced comperhensively. Advanced topics in power management introduced, including linear regulators, digital linear regulators, switch-mode power converters, control schemes for DC-DC converters, compensation methods of DC-DC converters, power losses in DC-DC converters, switched capacitor converters, power converter modeling and simulation, design examples.
LIGHTWAVE DEVICES
Electro-optics: principles; electro-optics of liquid crystals and photo-refractive materials. Nonlinear optics: second-order nonlinear optics; third-order nonlinear optics; pulse propagation and solitons. Acousto-optics: interaction of light and sound; acousto-optic devices. Photonic switching and computing: photonic switches; all-optical switches; bistable optical devices. Introduction to fiber-optic communications: components of the fiber-optic link; modulation, multiplexing and coupling; system performance; receiver sensitivity; coherent optical communications.
- T 1:10 p.m.-3:40 p.m.
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Instructor:
Xiang Meng
h-index: 8 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.
- R 4:10 p.m.-6:40 p.m.
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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.
- M 4:10 p.m.-6:40 p.m.
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Instructor:
Keren Bergman
CULPA: 1 Wikipedia h-index: 69 Info - 3 points
Topics in Smart Electric Energy
Selected advanced topics in smart electric energy. Content varies from year to year.
Topics in Smart Electric Energy
Selected advanced topics in smart electric energy. Content varies from year to year.
- R 4:10 p.m.-6:40 p.m.
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Instructor:
Mohamed Kamaludeen
Info - 3 points
TOPICS DATA-DRIVEN ANAL & COMP
MACH LEARNING IN BIO&INF
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.
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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.
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Instructor:
Matthew M Ziegler
Info - 3 points
TOPICS DATA-DRIVEN ANAL & COMP
GenAI & Modern Deep Learn
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.
- TR 10:10 a.m.-11:25 a.m.
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Instructor:
Micah Goldblum
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.
- R 10:10 a.m.-12:40 p.m.
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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.
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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.
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Instructor:
Thomas Woo
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.
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Instructor:
Anwar I Walid
CULPA: 1 Info - 3 points
TOPICS IN SIGNAL PROCESSING
BIOMEDICAL SIGNAL&IMAGE
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.
- M 10:10 a.m.-12:40 p.m.
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Instructor:
Guido H Jajamovich
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
Ext Operating Sys
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.
- F 1:10 p.m.-3:40 p.m.
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Instructor:
Asaf Cidon
h-index: 20 Info - 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.
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Instructor:
Ching-Yung Lin
h-index: None Info - 3 points
TOPICS-INFORMATION PROCESSING
DATA CENTER PROCESSING
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.
- MW 8:40 a.m.-9:55 a.m.
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Instructor:
Tanvir Ahmed Khan
Info - 3 points
TOPICS-INFORMATION PROCESSING
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.
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Instructor:
Alexei Ashikhmin
Info - 3 points
TPCS-ELEC & COMPUT ENGINEERING
Selected topics in electrical and computer engineering. Content varies from year to year, and different topics rotate through the course numbers 6900 to 6909.
- MW 11:40 a.m.-12:55 p.m.
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Instructor:
Savannah Eisner
Info - 3 points
Topics in Control
This proposed course allows for a variety of potential advanced courses to be taught as part of the proposed concentration on control.
- R 4:10 p.m.-6:40 p.m.
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Instructor:
Ilija Hadzic
Info - 3 points