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Department of Electrical Engineering
Research Areas
Research
Centers and Research Groups
Research
Laboratories
Research,
Internship and Co-op Opportunities
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Internship and Co-op Opportunities |
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The
CCNY is a research institution and EE faculty conduct a number of
research projects where EE undergraduate students can participate.
There is also a CCNY Research Honors program that allows qualified
students to pursue independent research projects under EE faculty
guidance. Examples: the Collegiate Science Technology Program (CSTEP),
the CUNY Louis Stokes New York Alliance for Minority Participation
in Science (LSAMP), the NOAA-CREST research center.
On the
other hand, the CCNY School of Engineering has an Office
of Student Programs (OSP), located at Room: T-2M7. The OSP is
very instrumental in providing EE students with opportunities in
research, with internships, and summer programs. Please visit Office
of Student Programs (OSP) web site for general description and
activities.
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| Research
Laboratories |
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The
undergraduate program in electrical engineering welcomes students
who have a solid preparation in mathematical and the sciences.
The course of study trains students in analytical procedures to
solve specific problems, in laboratory methods to examine complex
electrical phenomena, and ultimately in design synthesis to meet
specific functions. The program emphasizes mathematical modeling
and abstract reasoning because electrical phenomena cannot normally
be directly perceived sagely by human senses. The program’s
core areas include linear systems and controls, electromagnetics
theory, electronics, communications, and computers. Through a
variety of elective courses, students are then able to pursue
special interests in such areas as lasers, microprocessors, digital
signal processing, networks, telecommunications, and microwaves.
The graduate program comprises four broad areas: Computer Engineering,
involving courses in the design of the components of computer
systems, the architecture and organization of computers, the analysis
and design of computer communication networks, and in computer
applications; Telecommunications Engineering, involving courses
in computer communication systems, local area networks, communications
protocol engineering, and wireless communication; Photonics Engineering,
involving courses in theoretical foundations, such as Electrodynamics,
components, such as Introduction to Lasers, and systems, such
as Fiber Optic Communications, and Optical Signal Processing;
Systems Engineering, involving courses in linear system theory,
signal theory, probability and stochastic processes, and random
functions as well as practice-oriented courses in control systems,
digital signal processing, image processing, and neural networks.
Financial aid is available to highly qualified Masters and PhD
students.
Experimental
Laboratories
Semiconductor Device Lab
Optical Device and Laser Lab
Telecommunications and Information Networking Lab
Remote Sensing Lab
Simulation
and Computing Laboratories
Control Systems Design
Communications
Signal and Image Processing
Optical Communications
Photonics Engineering
For
more information please visit Department of Electrical Engineering
Research Areas page.
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Research
Centers and Research Groups |
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Telecommunication
Information Networking Group
(TING) conducts research and development in the fields of high-speed,
multi-media, multi-service, integrated wired/wireless networks,
mobility in IP and ATM networks, secure communications, and information
distribution networks.
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National
Oceanic and Atmospheric Administration (NOAA)
and
Cooperative Remote Sensing Science and Technology (CREST) Center |
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The
Next-Generation Networking Group's (NG²) research is targeted
toward architecture, control, management and reconfiguration of all
optical networks suitable for the multimedia telecommunications infrastructure
of the 21st century. |
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Nonlinear
Optics Research Group |
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The
Robotics and Intelligent Systems Lab emphasizes systems modeling
and analysis, embedded system design, control theory and applications,
telerobotics, sensor integration and data fusion, computer vision,
real-time computing, and intelligent mechatronic systems. |
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