Graduate Student Manual (Revised 05/10/2014) (pdf)

POLYTECHNIC SCHOOL OF ENGINEERING
NEW YORK UNIVERSITY
Department of Electrical and Computer Engineering
GRADUATE STUDENT MANUAL1
This manual describes curriculum requirements for the graduate degrees offered by the department. It contains
material not included in the Polytechnic Catalog, as well as corrections and updated modifications to the material in
that Catalog. The following graduate programs are offered by the department:
Doctor of Philosophy
Electrical Engineering (PhD/EE)
Master of Science
§ Electrical Engineering , (MS/EE)
§ Computer Engineering, (MS/CompE)
§ Systems Engineering (MS/SE)
The following programs are being phased out. No new students would be admitted starting in Spring 2014 semester.
§ Master of Science in Telecommunication Networks (MS/TN)
§ Master of Science in Electrophysics (MS/EP)
§ Master of Engineering in Interdisciplinary Studies (Wireless Innovation (ME/WI)
§ All Graduate Certificate Programs
Note:
The curriculum requirements for the PhD/EE, MS/EE, MS/CompE, MS/TN have been substantially revised from the
previous requirements described in the Spring 2013 version. These revised requirements are described in this
manual. These changes are effective for students entered in Fall 2014 or after. Students who entered before Fall
2014 are also advised to follow these revised requirements. However they have the option to follow the curriculum
described on the NYU Poly’s Catalog at the time of their matriculation. Previous curriculum requirements for these
programs and for other programs that are being phased-out can be found in the Graduate Student Manual published
in Spring 2013, available at
http://engineering.nyu.edu/sites/polyproto.poly.edu/files/ECE_Graduate_Student_Manual_2012-2013.pdf
Online version of this manual, along with updates and some other graduate student resources, is available at:
http://www.poly.edu/academics/departments/electrical/graduate-resources
Last revised on May 10, 2014, Effective Spring 2014.
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Table of Contents
I. DOCTORAL PROGRAM ...................................................................................................... 1 General ............................................................................................................................................. 1 Admission to Program ....................................................................................................................... 1 Thesis Advisor and Academic Advisor ................................................................................................ 1 Qualifying Examination ..................................................................................................................... 1 Course Requirements ........................................................................................................................ 2 Transfer Credits ................................................................................................................................ 3 Guidance Committee ........................................................................................................................ 3 Area Examination .............................................................................................................................. 4 Registration for Ph.D. Dissertation Credits ........................................................................................ 4 Submission of the Thesis and Thesis Defense .................................................................................... 4 Seminar Attendance Requirement .................................................................................................... 4 Publication Requirement .................................................................................................................. 4 Requirements for Students Entered Before Fall 2014 .......................................................................... 5 II. MASTER DEGREE REQUIREMENTS .................................................................................... 6 1. MASTER OF SCIENCE ELECTRICAL ENGINEERING (MS/EE) ........................................................... 6 2. MASTER OF SCIENCE COMPUTER ENGINEERING (MS/CompE) .................................................... 7 3. MASTER OF SCIENCE TELECOMMUNICATION NETWORKS (MS/TN) ............................................ 8 4. MASTER OF SCIENCE SYSTEMS ENGINEERING (MS/SE) ............................................................. 10 5. TRANSFER CREDITS .................................................................................................................. 11 III. FINANCIAL AID AND SCHOLARSHIPS ................................................................................. 12 IV. ECE GRADUATE COURSE LISTING .................................................................................. 14 V. FACULTY ROSTER BY AREAS OF SPECIALIZATION IN ELECTRICAL AND COMPUTER ENGINEERING (ECE) ............................................................................................................... 17 VI. GRADUATE STUDENT ADVISORS ................................................................................... 21 II
I.
DOCTORAL PROGRAM
General
Graduate students who have exhibited a high degree of scholastic proficiency and have given evidence of ability for
conducting independent research may consider extending their goals toward the doctorate. The degree of Ph.D. is
awarded after completing the program of study and research described below, and upon preparation and defense of a
dissertation representing an original and significant contribution deemed worthy of publication in a recognized
scientific or engineering journal.
Admission to Program
Students entering the doctoral program with a Bachelor's degree must meet the entrance requirements for the Master's
program in the appropriate area of concentration. Students entering at the Master's level for the Ph.D. in Electrical
Engineering program are normally expected to have a Master's in Electrical Engineering. Generally, admission to these
Ph.D. programs is conditional on a student achieving a 3.5 grade point average in prior BS and MS programs. GRE is
required for all applicants.
Thesis Advisor and Academic Advisor
A Ph.D. Student must get the commitment of a faculty member in the student's area of major research interest to be the
student's thesis advisor before taking the qualifying exam. Many factors enter into a student's choice of an advisor for
his/her research. In addition to the scientific, intellectual and personality factors which influence the pairing of student
and professor, financial aspects must also be considered. For most full-time students, the ideal situation is to find an
advisor who has a mutually interesting topic, as well as funds available from research grants and contracts which can
support the student as a Research Assistant. A prospective student is encouraged to contact faculty members in his/her
research area regarding the possibility of advising before applying to the Ph.D. program. A student who joins the Ph.D.
program without securing a thesis advisor will be assigned an academic advisor, who will guide the student in terms of
course selection and research activities before the qualifying exam.
Usually, the thesis advisor is a full-time faculty member in the Electrical and Computer Engineering Department and as
such is considered chair of the student's Guidance Committee. If a student wishes to have someone outside the ECE
department to serve as his/her advisor, the student should submit the CV of the person and a letter of commitment from
the person to serve as the advisor to the Ph.D. EE Program Director for approval. A Ph.D. in the student’s proposed
area of research is a nominal requirement.
Qualifying Examination
I.
Requirements to be satisfied before taking the oral exam
1) A student must have registered at NYU-Poly for at least one semester and taken at least 3 graduate level
courses and the student’s cumulative GPA should be 3.5 or above.
2) A student must have completed at least 2 core courses (See Section on Course Requirement), with GPA over
the core courses being 3.5 or above, and each core course earning a grade of B or above.
3) A student must have completed a research project under the supervision of a project advisor. The advisor can
be any faculty member associated with ECE department (An external researcher may serve in this role, subject
to approval by the chair of the ECE Graduate Curriculum and Standards Committee (to be referred as the
Graduate Committee subsequently). The project can be literature survey of a certain topic, reading and
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understanding of a certain set of papers, or implementation and evaluation of a few algorithms/ideas in
existing literature or suggested by the advisor or the student. Novel contribution by the student worthy of
publication is not required. The project advisor should ensure that the project topic is appropriate for
evaluating the student’s potential for Ph.D. research. It is the student’s responsibility to identify and secure a
project advisor.
4) A student should have also secured an ECE faculty member (or an external member approved by the Chair of
the Graduate Committee) who agrees to be his/her Ph.D. advisor if the student passes the oral exam. The
project advisor does not have to be the Ph.D. advisor. The prospective Ph.D. advisor is not obligated to
provide financial support for the student.
II.
Oral exam
5)
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III.
The oral exam committee will include the prospective Ph.D. advisor, and three other ECE faculty members
chosen by the student in consultation with the Ph.D. advisor. The student is responsible to secure three faculty
members to attend the oral exam and identify a time at which all committee members can attend.
A student must send in an official application for taking the oral exam to the Ph.D. EE program chair, at least
two weeks before the target date of the oral exam. The application form can be downloaded from:
http://engineering.nyu.edu/files/QualExamApplication_20130510.doc
The student must submit a written project report to the exam committee at least one week before the exam
date. The report should be written following the standard format of a conference paper, with 4-6 pages in
double column, font size 11.
During the exam, the student should give a 30-minute project presentation, followed by questions from the
committee members, which can be either directly related to the project or regarding fundamental knowledge
underpinning the project topic.
The committee will provide a written evaluation of the student’s potential for Ph.D. research (in terms of
technical ability, and oral and written communications skill) to the department. The committee members can
seek input from the prospective Ph.D. advisor when making such evaluation, but the advisor is excluded from
participating in formulating the written evaluation.
The ECE department will make the final decision of pass or fail based on the exam committee’s report.
Result (Pass or fail) of the qualifying exam (RE9990) will be recorded in the student’s transcript.
Timelines and Repeat of Oral Exam
12) First Exam: For students who started the Ph.D. program with prior MS degrees, the first oral exam should be
taken no later than one year (two years for part-time students) after starting in the Ph.D. program. For students
who started the Ph.D. program without a prior MS degree, the first oral exam should be taken no later than
two years (three years for part-time students) after starting in the Ph.D. program. If a student does not meet the
requirement for taking the exam by this deadline, the student will be disqualified from the program.
13) Repeat oral exam and disqualification: Students who failed the first oral exam but otherwise successfully meet
the requirement for taking the oral exam can repeat the exam at most once, which should be completed within
one year after the first exam. Students who fail to pass the repeat exam will be disqualified from the program.
Course Requirements
1) Core Courses: A student, in consultation with and upon approval by the Ph.D. advisor, should choose at least 4
EL courses (12 credits) among courses with numbers EL6xxx, EL7xxx, EL8xxx, as their core courses.
Transferred courses cannot be used to satisfy the core course requirement. To graduate, each course must have a
grade of B or above and the average grade of the four courses must be 3.5 or above. The student must have
completed at least 2 such courses with the average grade of taken courses being 3.5 or above, before taking the oral
qualifying exam. The remaining core courses must be completed before graduation.
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2) EL courses: A student must choose at least 24 credits of EL courses. This requirement can be satisfied by the 30
credits transferred from a prior MS degree in electrical engineering or computer engineering.
3) Non-EL Courses: A student must choose at least 2 non-EL graduate-level courses (6 credits or more) that are in
either Science or Engineering discipline. Please note the courses in management cannot be counted towards this
requirement. Courses taken at NYU will be counted towards this requirement. Transferred courses taken at other
accredited graduate programs are subject to approval by the Ph.D. EE program director. Please note that this
requirement replaces the previous minor requirement for Ph.D. EE, which requires the student to take at least 3
courses in a chosen minor area.
4) Other courses: The degree requires a total of 75 credits with at least 21 Ph.D. dissertation credits taken at Poly. A
student must take a minimum of 42 credits in formal courses (as distinct from “independent study” credits such as
reading, project or thesis), with a minimum of 24 course credits in EL courses. The student has freedom in
choosing courses, provided he or she satisfies the requirements specified in 1), 2) and 3). The student should
consult with his/her Ph.D. advisor or academic advisor in devising a course plan as early as possible so that the
course work covers sufficient depth for the student’s chosen area of research and related field, as well as sufficient
breadth.
5) GPA requirement: As with all the graduate programs at NYU-Poly, a student must maintain a GPA of 3.0 or
above among all courses taken at Poly. A student with GPA below 3.0 has up to two semesters on probation. If at
the end of the second semester on probation, the GPA is still below 3.0, the student will be disqualified from the
program. The Ph.D. EE program further requires that a student must have a GPA of 3.5 or above among all formal
courses (not including dissertation or other independent studies) taken at NYU Poly to graduate, in addition to the
GPA requirement for the core courses as specified in Item 1).
6) Internships: Up to 6 credits of approved internships (CP9911, CP9921, CP9941, CP9951, 1.5 credit each) can be
applied towards the 75 credits Ph.D. degree requirement. For an internship to be approved for credits, the
internship job must provide industry and/or research experience relevant to the degree program. All internship
must be approved and supervised by an ECE faculty member. The student must submit a project report to the
advisor upon completion of the internship for the evaluation and grading of the internship course.
Transfer Credits
A student with a prior MS degree related to electrical and computer engineering can apply for a blanket transfer of 30
credits, and transfer of up to additional 6 credits taken beyond the MS degree. A student admitted without a prior MS
degree can transfer up to 6 credits. For the blanket transfer of 30 credits for the prior MS degree, the student must
provide an authorized copy of the official degree diploma. For transfer of individual course credits, the student must
provide an official transcript in a sealed envelop as well as catalog descriptions of the courses to be transferred, for
evaluation and approval by the department graduate advisor. The official transcript and/or diploma submitted during
the student's admission process can be used in place of new submission. Applications for transfer credits must be
submitted for consideration before the end of the first semester of matriculation.
Guidance Committee
On passing the qualifying examinations, the student in consultation with the thesis advisor should identify additional
members of the student’s guidance committee. The committee should be composed of three or four members with the
thesis advisor usually acting as Chairman. In cases where the thesis advisor is not a full-time faculty member of the
Department, then a full-time faculty member of the Department must be included on the Guidance Committee and
serve as chair. At least one other member of the Guidance Committee must be in the student's area of major research
interest. This member may be from outside the Institute. The student must submit the names of the members of his
Guidance Committee to the Office of Graduate Studies with a copy to the ECE Graduate Office within 6 months of
passing the qualifying exam. The Guidance Committee conducts the area examination, thesis defense and approves the
final thesis. Guidance Committee appointment form should be obtained from the office of Graduate Studies.
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Area Examination
The Area Examination consists of a presentation by the student of the general background in the problem area the
student will be working in and a preliminary research plan. The purpose of the examination is for the student to
demonstrate that he/she understands the previous fundamental research of the field in which the student will work. It
should be taken early in the Ph.D. program (after no more than 12 thesis credits have been taken) and should not be a
review of partial thesis results. It may be in the form of an open seminar, which is publicized well in advance to
encourage attendance by all interested students and faculty. The Guidance Committee will attend and meet afterward to
evaluate the student's performance and assess whether the student demonstrated the depth of knowledge and
understanding necessary to carry out research in the area of major research interest.
Postponement of the examination beyond registration for 12 credits of thesis requires the approval of the ECE Graduate
Committee. Permission for thesis registration beyond 12 credits may be denied in the absence of completion of the
Area Exam.
Registration for Ph.D. Dissertation Credits
After passing the qualifying exams, and with the agreement of the Thesis Advisor, the Ph.D. candidate may begin
registration for dissertation credits EL 999x. (The student's failure to abide by this rule may result in loss of credit for
the dissertation registration.) A student must register at least 3 credits for EL999x each semester. A minimum of 21
credits is required for the Ph.D. degree. The student must register for thesis continuously, every Fall and Spring
semester, unless a Leave of Absence has been granted by the Office of Graduate Studies.
Submission of the Thesis and Thesis Defense
Upon completion of the doctoral dissertation, the candidate will submit to an oral defense of the thesis. The
examination is conducted by the Guidance Committee, but is open to all members of the faculty, and any other
appropriate persons who may be invited. Copies of the dissertation will be made available to prospective examiners at a
reasonable time in advance of the examination. The Guidance Committee Chairman will notify the Office of Graduate
Studies of the candidate’s readiness to submit to examination. This should be done at least two weeks prior to the date
selected, in order to allow time for the scheduling and public notification of the final examination date. In addition, the
student is advised to consult the Office of Graduate Studies in order to meet the requirements and adhere to the
regulations on the submission of the final manuscript (reproduction, binding, etc.)
Seminar Attendance Requirement
Ph.D. students are required to register for a 0-credit Research Seminar course (EL9900) for at least 4 semesters.
Satisfactory grade is given only if the student attends more than 2/3 of the seminars offered in a semester. Part-time
students who have difficulty attending the seminar because of work conflict may be exempted from this requirement
upon approval of the Ph.D. EE program director. The student should submit the approval note when applying for
graduation.
Publication Requirement
To be granted the Ph.D. degree, a Ph.D. candidate must have at least one submitted journal paper on the thesis research
subject. Documentation in the form of a letter of submission to a refereed journal, and acknowledgment of its receipt by
the journal, will constitute the required evidence. If there is no accepted journal paper, the student should have at least
one accepted conference paper that appeared in conference proceedings.
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Requirements for Students Entered Before Fall 2014
Students who entered before Fall 2014 can either follow the requirements described above, or the requirement effective
at the time of matriculation. The requirements posted in the NYU-Poly catalog as of Sept. 2013 differ from the new
requirements in the following aspects. For a complete description, please consult the ECE Graduate Student Manual
published in Spring 2013.
Course and Thesis Requirements: A minimum of 75 credits of academic work beyond the bachelor’s degree,
including a minimum of 21 credits of NYU-Poly dissertation research, is required. A minimum of 42 credits in formal
courses (as distinct from independent study credits such as reading, project or thesis) are required. A student entering
with a MS from a reputable graduate program may transfer 30 credits. PhD students are required to take a minimum of
9 credits of courses in a minor area outside of electrical engineering. The minor must be taken in an area that is both
distinct from and yet consonant with the student’s major study area. Students work with thesis advisers to develop their
major study program. The major program should constitute a coherent, in-depth study of the most advanced knowledge
in the student’s area of concentration.
Publication Requirement: To be granted the PhD degree, a PhD candidate must have at least one accepted or
submitted journal paper on the thesis-research subject.
Transfer credits: For Ph.D. students entered before Spring 2015, the following policy as stated in the NYU-Poly
catalog as of Sept. 2013 are applicable: Doctoral candidates may transfer a maximum of 48 credits, including a 30credit blanket transfer from a prior MS degree, and additional courses not included in the prior MS that are individually
transferred. For the blanket 30-credit transfer, the prior MS need not be a 30-credit MS, so long as an MS degree (or
equivalent) was granted, and a copy of the degree and detailed transcripts are presented. Additional courses
individually transferred cannot include project, thesis, dissertation, guided studies or readings, or special topics credits.
Applications for transfer credits must be submitted for consideration before the end of the first semester of
matriculation. The student’s major academic department evaluates graduate transfer credits, but no courses with grades
less than B will be considered.
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II.
MASTER DEGREE REQUIREMENTS
For all MS degree program, a total of 30 credits are required for each degree. A grade point average (GPA) of 3.0 is
required in all graduate courses taken at NYU-Poly except those used for the undergraduate degree. No transfer credits
are accepted towards the MS degree for students entering in Fall 2014 or after.
1.
MASTER OF SCIENCE ELECTRICAL ENGINEERING (MS/EE)
Entrance Requirements
Admission to the Master of Science in Electrical Engineering Program requires a Bachelor’s in Electrical Engineering
from an accredited institution, with a GPA of 3.0/4.0 or higher. The Graduate Record Exam (GRE) is required for all
applicants.
Students not meeting these requirements will be considered for admission on an individual basis and may be admitted
subject to the completion of appropriate undergraduate courses to remove deficiencies in preparation.
Course Requirements
The course requirement described below has been substantially revised from the previous requirement. The changes
are effective in Fall 2014 for both new students and students entered before Fall 2014. However, students who entered
before Fall 2014 have the option to follow the curriculum described on the NYU Poly’s Catalog at the time of their
matriculation.
To obtain the MS in Electrical Engineering degree, students must complete a total of 30 credits, with restrictions
described below.
Core Courses: The core courses cover fundamental material and should be taken as early as possible. An advanced
course subsequent to a core course may be taken in lieu of the core course, upon approval by the MSEE program
advisor. All students must choose two out of the following four core courses:
EL 6113
EL 6253
EL 6303
EL 6713
Digital Signal Processing I
Linear Systems
Probability and Stochastic Processes
Electromagnetic Theory and Applications
Concentration areas: Students are recommended to select courses to focus on one or two concentration areas, to
obtain sufficient depth in the choose areas. To provide flexibility for course selection based on the student’s interests, a
student does not need to officially declare a concentration, and no specific number of credits is required for each
chosen centration. For an up-to-date list of concentration areas and courses for each area, please visit
http://www.poly.edu/academics/departments/electrical/grad-areas-courses
Thesis, project, reading: Students are encouraged to participate in research by registering for a master’s thesis
(EL997x, minimal 6 credits), an advanced project (EL9953 or EL9963, 3 credits each, EL9941, 1.5 credits) or a
reading course (EL9933, 3 credits). Students must secure a faculty member’s commitment for advising such individual
studies. Oral defense of the master’s thesis with at least three professors (at least 2 ECE professors) in attendance is
required. For the project and reading courses, a project report and an oral presentation is required. The total credits for
thesis, projects, readings, and internships (see below) should not exceed 9 credits within the 30 credits required for the
MS degree.
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Internships: Up to 3 credits of approved internships (CP9911, CP9921, 1.5 credit each) can be applied towards the 30
credits MS degree requirement. For an internship to be approved for credits, the internship job must provide industry
and/or research experience relevant to the degree program. All internship must be approved and supervised by an ECE
faculty member. Students must secure a faculty member’s commitment for advising an internship. The student must
submit a project report to the advisor upon completion of the internship for the evaluation of the internship course.
The total credits for independent studies including MS thesis, projects, reading, and internship cannot exceed 9 credits
within the 30 credits towards the MS degree.
Out-of-department courses and 5000-level EL courses: At least 24 credits should be EL-prefixed courses. A 3-credit
course taken at other science or engineering departments of NYU that is closely related to electrical engineering may
be used to substitute an EL course upon approval by the MSEE program advisor. The other 6 credits can be from any
science, engineering or management departments. The total number of credits for 5000-level EL courses and non-EL
courses cannot exceed 12 credits.
Transfer Credits: No transfer credits are accepted towards the MS degree.
GPA requirements: An overall GPA of 3.0 or above in all graduate courses taken at NYU is required. In addition, an
average of 3.0 is required among the two core courses.
2.
MASTER OF SCIENCE COMPUTER ENGINEERING (MS/CompE)
Entrance Requirements
Admission to the MS program requires a bachelor’s degree in computer engineering, electrical engineering or computer
science from an accredited institution. Students not meeting these requirements are considered for admission on an
individual basis and may be admitted subject to the completion of appropriate undergraduate courses to remove any
deficiencies in preparation. Topics in which deficiencies must be removed include logic circuits design, state analysis
and synthesis techniques, computer architecture, data structures and algorithms and C or C++ programming. Students
not meeting entrance requirements will be considered on an individual basis, and may be admitted subject to the
completion of appropriate courses to remove deficiencies in preparation.
Course Requirements
One must complete a total of 30 credits, as described below, with an overall average of 3.0, to earn a Master of
Science in Computer Engineering degree at NYU-Poly. In addition, an average of 3.0 is also required among all regular
courses, not counting independent studies including thesis, projects and reading courses. At least 15 out of 30 credits
should be graduate ECE credits (EL numbered courses). Remaining course can be either EL or CS prefixed courses.
Group 1 (6 credits): Required Courses
•
•
EL 6473 Introduction to VLSI System Design. (new number. Formerly EL5473)
CS 6133 Computer Architecture I.
Group 2 (21 credits):
Other graduate ECE and CSE courses (courses with EL and CS prefixes). With advisor approval up to two courses
pertinent to computer engineering can be taken from other departments at NYU.
Group 3 (3 credits) Project requirement:
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One 3-credit advanced project in ECE/CSE (EL9953 or CS9963) is required.
MS Thesis Option (6 credits): A thesis in ECE/CSE (EL997x/CS9976) may be selected to replace the 3-credit
Advanced Project and a course from Group 2 above.
Internships: Up to 3 credits of approved internships (CP9911, CP9921, 1.5 credit each) can be applied towards the 30
credits MS degree requirement. For an internship to be approved for credits, the internship job must provide industry
and/or research experience relevant to the Computer Engineering degree program. All internships must be approved
and supervised by an ECE faculty member. Students must secure a faculty member’s commitment for advising an
internship. The student must submit a project report to the advisor upon completion of the internship for the evaluation
of the internship course. The total credits for independent studies including MS thesis, projects, reading, and internship
cannot exceed 9 credits within the 30 credits towards the MS degree.
Transfer Credits: No transfer credits are accepted towards the MS degree.
3.
MASTER OF SCIENCE TELECOMMUNICATION NETWORKS (MS/TN)
This program is being phased out and will not admit new students starting in Spring 2014 semester. Students who are
already in the program can still obtain the degree upon satisfactory completion of the course requirement of the
program. Students who are relatively new in this program but have sufficient past courses and background to complete
the MSEE programs are encouraged to apply for change of program to MS in Electrical Engineering.
Course Requirements
To satisfy the requirements for a master’s degree, students must complete a total of 30 credits as described below, with
an overall average of 3.0. In addition, a 3.0 average is required in the courses described in GROUP1 and GROUP2
below. Students, who have satisfactorily completed equivalent courses, as determined by the MS/TN advisor, may be
allowed to replace required courses in Group1 and 2 courses with other courses, starting with the remaining Group2
course. If a student has previously taken two or more equivalent courses from Group 1and 2, these additional courses
can be replaced by advanced courses. Permission of the MS/TN advisor is required for all course substitutions.
GROUP 1: Required Courses
6 Credits
EL 6303 Probability and Stochastic Processes
One course out of the following three:
CS 6133 Computer Architecture I
CS 6233 Introduction to Operating Systems
CS 6033 Design and Analysis of Algorithm I
GROUP 2: Additional Required Courses
12 Credits
Students are required to take 4 out of the 6 courses listed below.
EL 5373 Internet Architecture and Protocols Lab
EL 6383 High Speed Networks
CS 6823 Network Security
EL 7353 Communication Networks I: Analysis, Modeling and Performance
EL 7363 Communication Networks II: Design and Algorithm
EL 7373 High Performance Switches and Routers (or a special topics course in the networking area subject to
approval by the program director)
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In certain rare circumstances, and with approval of the program’s director, other computer science and electrical
engineering courses may be used to fulfill this requirement.
GROUP 3: Project Requirement
3 Credits
Depending on whether your project adviser teaches in the Computer Science (CS) or Electrical and Computer
Engineering (ECE) departments, you must take one of the following:
EL 9953 Advanced Project I, Credits: 3.00 or
CS 6873 Project in Telecommunication Networks, Credits: 3.00
You must obtain a project adviser and create an approved project plan before registering, however. The project should
be completed in 1 semester. After obtaining approval, you may substitute the required 3-credit project with a 6-credit
MS thesis. The extra 3 thesis credits will count toward the program elective in Group 4.
GROUP 4: Program Elective Courses
9 Credits
You must take 3 courses not already counted toward Group 1 and Group 2 requirement from the partial list of electives
below as well as the previous group 1 and group 2 course lists. Other courses not on this list can be taken with approval
from the program director. Relevant management-department graduate courses can be taken with approval from the
program director. No more than 1 MG courses can be counted toward this degree.
CS 5023 Introduction to Java Programming, Credits: 3.00
EL 6013 Digital Communications: 3.00
EL 6023 Wireless Communications, Credits: 3.00
EL 6063 Information Theory, Credits: 3.00
EL 6333 Detection and Estimation Theory, Credits: 3.00
CS 6043 Design and Analysis of Algorithms II, Credits: 3.00
CS 6143 Computer Architecture II, Credits: 3.00
CS 6243 Operating Systems II, Credits: 3.00
CS 6063 Software Engineering I, Credits: 3.00
CS 6083 Principles of Database Systems, Credits: 3.00
CS 6843 Computer Networking, Credits: 3.00*
* A student can only take CS6843 if the student has not taken any computer networking course at undergraduate or
graduate level. Permission is needed from MSTN program director.
Internships: Up to 3 credits of approved internships (CP9911, CP9921, 1.5 credits each) can be used to satisfy the
project requirement of the MSTN degree requirement. For an internship to be approved for credits, the internship job
must provide industry and/or research experience relevant to the degree program. All internship must be approved and
supervised by an ECE faculty member. Students must secure a faculty member’s commitment for advising an
internship. The student must submit a project report to the advisor upon completion of the internship for the evaluation
of the internship course. If a student only takes one internship (1.5 credits), the student can extend it to a full project by
registering the 1.5-credit project course EL9941 under the same faculty advisor for the internship.
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4.
MASTER OF SCIENCE SYSTEMS ENGINEERING (MS/SE)
The MS in Systems Engineering degree program focuses on analysis, operation, maintenance, and design of complex
systems.
Entrance Requirements
The entrance requirement for a Master of Science in Systems Engineering is a Bachelor’s degree in engineering or
science from an accredited institution, with at least a B average in undergraduate technical courses. It is noted that for
some tracks, students should have taken undergraduate courses in differential equations, probability, linear systems,
feedback control and computer programming. Deficiencies in any of the subject matters should be addressed by taking
the required courses for any particular track.
Course Requirements
To satisfy the requirements for an MS in Systems Engineering, students must complete three core courses and two
tracks at least one of which must be a core track. A minimum of three courses should be taken in a track. One course in
each track may be a core course. The remaining credits (up to 9 credits) can be chosen from any science, engineering
and management courses. If a student elects to write a MS thesis (6 credits), then only two courses in a track are
required. The total number of credits required is 30 and at least 15 credits should be from EL prefixed courses. A GPA
of 3.0 or above is required in all graduate courses.
Core Courses: Three courses chosen from among the following:
EL 5213
EL 6213
EL 6233
EL 6253
EL 6303
MG 8203
9 Credits
Introduction to Systems Engineering
System Modeling, Analysis and Design
Systems Optimization Methods
Linear Systems
Probability and Stochastic Processes (formerly Probability Theory)
Project Management
For students entering Fall 13 or later, must choose at least one from EL6253 and EL6303.
Core Tracks:
6-18 Credits
Network Management (EL 5363, 5373, 7353, 7363)
Mobile Communications (EL 5013, 5023, 6013, 6023, 6033)
Systems and Automation (EL 5223, 5253, 6253, 8223)
Energy Systems (EL 5613, 6623, 6633, 6653)
Large Scale Systems Modeling and Control (EL 6253, 7253, 8253, 92x3)
Multimedia Applications (EL 5123, 5143, 6113, 6123, CS 6643)
Elective Tracks:
0-9 Credits
Computer Systems and Security (CS 6813, 6823, 9043, EL 6393)
Software Engineering (CS 6063, 6073, 6083, 6183)
Operations Research and Management (MG 6303, 6463, 8203, FRE 6023)
Financial Engineering (FRE 6023, 6083, 6103, 6411, 6291)
Biological Systems (Selected courses with prefix BE, CH, CM, subject to advisor approval)
Free Electives:
0-9 Credits
Any courses in science, engineering or management
Total: 30 Credits
10
5.
TRANSFER CREDITS
For students entered Spring 2015 or later, no transfer credits will be allowed towards the MS degree.
For students enter before Spring 2015, the following policy as stated in the NYU-Poly catalog as of Sept. 2013 are
applicable: Up to 9 credits for graduate level courses taken in other credited institutions with grades of B or above may
be transferred towards the 30 credit MS degree. Applications for transfer credits must be submitted for consideration
before the end of the first semester of matriculation. The student must provide an official transcript in a sealed envelop
as well as catalog descriptions of the courses to be transferred, for evaluation and approval by the department graduate
advisor. The official transcript submitted during the student's admission process can be used in place of new
submission.
11
III. FINANCIAL AID AND SCHOLARSHIPS
Financial Support Available for Ph.D. Students
FELLOWSHIP
Dean’s Fellowship: Offered to new applicants for Ph.D. programs in the School of Engineering with exceptional
qualifications. The ECE department expects to offer up to 6 such fellowships each Fall semester. The fellowship will
cover 12 month stipend and full tuition and fee, with guaranteed funding for 4 years provided the student maintains
high academic standards.
Department Ph.D. Fellowships: Offred to new applicants for Ph.D. in Electrical Engineering programs with
exceptional qualifications. The ECE department expects to offer up to 10 such fellowships each Fall semester. The
fellowship will cover 12 month stipend and full tuition and fee, with guaranteed funding for 4 years provided the
student maintains high academic standards.
CATT Fellowships: please visit: http://www.catt.poly.edu/education/catt-fellowship
NYU WIRELESS fellowship:
For more information, please visit: NYU WIRELESS fellowship
GAANN Fellowship: please visit
http://nyuwireless.com/ThePulse/three-3-year-gaann-phd-grants-for-us-citizensperm-residents.php
AMPS Fellowship
Depending on the area of research, some ECE graduate students who are US citizens or have permanent residence may
qualify for the AMPS Fellowship. http://gk12.poly.edu/amps-cbri/html/application/appInfo.html
IGERT Scholarship
Depending on the area of research, some ECE graduate students who are US citizens or have permanent residence may
qualify for The IGERT scholarship in the Information Security and Privacy Interdisciplinary Research and Education
(INSPIRE) program. Please visit
http://crissp.poly.edu/?page_id=368
TEACHING ASSISTANTSHIP
Students receiving this award are expected to perform teaching duties that may include one laboratory section per
semester in addition to research work supervised by a faculty advisor. The applicant must be a full-time PhD candidate.
The compensation for the teaching assistants includes a stipend for 9 months in addition to Full Tuition Remission
Scholarship for up to 9 credits per semester for two semesters. This award is given to new and current PhD students
with excellent academic credentials.
RESEARCH ASSISTANTSHIP
Students receiving this award are expected to perform research work supervised by a faculty advisor. The applicant
must be a full-time PhD candidate. The compensation for the research assistants includes a stipend for 9 to 12 months
12
in addition to Tuition Remission Scholarship for up to 9 credits per semester for two semesters. This award is given to
new and current PhD students with excellent academic credentials.
This award is paid either by the fellowship fund of the School of Engineering and the Department, or research contracts
and grants obtained by individual ECE faculty.
TEACHERS AIDE
The ECE department hires qualified graduate students as Teachers Aide for course related duties such as homework
grading and office hours. These positions are open only for current students who have excellent academic records and
demonstrated good teaching skills. Openings for these positions vary from semester to semester. Interested students
should contact the faculty in charge of hiring directly.
Financial Support Available for MS Students
GRADUATE CENTER MERIT-BASED SCHOLARSHIP
The Graduate Center awards merit-based scholarships to qualifying students pursuing a Master's degree, in the form of
tuition waive. Students are considered during their application evaluation period, and are not required to submit
additional documentation unless requested by the Graduate Center. You can apply for an upgrade of the scholarship
after the first year. If you aren’t awarded a Graduate Center Merit-Based Scholarship for your first semester of study,
you can apply at the beginning of another semester. In order to qualify for a scholarship, you must maintain a
cumulative GPA of 3.5 or higher. All students who wish to be considered for an upgrade or new scholarship must
submit a Graduate Center Merit-Based Scholarship or Scholarship Upgrade application. For more information, please
visit
http://www.poly.edu/academics/graduate-school/current-students/scholarships/grad-center-application
GRADUATE STUDENT EMPLOYMENT AND TRAINING
GSET students can work up to a maximum of 300 hours a semester at $10/hr. The student must be a full time graduate
student. GSETs may work in the academic or administrative field in the department. For more information, please see
http://www.poly.edu/graduate-school/current-students/GSET.
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IV. ECE GRADUATE COURSE LISTING
Catalog listing of all ECE Graduate Courses can be found at:
http://catalog.poly.edu/content.php?catoid=6&catoid=6&navoid=556&filter%5Bitem_type%5D=3&filter%5Bonly_activ
e%5D=1&filter%5B3%5D=1&filter%5Bcpage%5D=6#acalog_template_course_filter
(www.poly.edu->academics->catalog->course descriptions)
Some important Guidelines and Policies, including transferring credits and taking classes at NYU, are provided at:
http://www.poly.edu/students/gc-forms
Course Director
Brooklyn
Offering
Schedule
EL5023 Wireless Information Systems
Graduate status or EE3404
Laboratory I
Prof. Michael Knox
F
EL5033 Wireless Information Systems
EL5023
Laboratory II
Prof. Michael Knox
S
Course Number and Title
EL5123 Image Processing
EL5213 Introduction to Systems
Engineering
EL5223 Sensor Based Robotics
EL5253 Applied Matrix Theory
Prerequisites
EL6113 and MA3012; knowledge of basic matrix
algebra; C programming skill
This course will be discontinued. It will be combined
with EL6123 and the first combined course will be
offered in Spring 2015.
Prof. Yao Wang
Graduate Status
Prof. Zhong-Ping Jiang
F
Graduate status or EE3054 or equivalent.
Prof. Farshad Khorrami
S
Graduate status, MA2012, MA2132, MA2112 and
MA2122
Prof. Zhong-Ping Jiang
F
Prof. Yong Liu
F,S
Prof. Spencer Kuo
S
Prof. Ramesh Karri
F
Prof. Ramesh Karri
S
CS1124, CS2214 and EE2004 (formerly EL5493)
Prof. Ramesh Karri
F
PH2004 or instructor’s permission
Prof. Edward Wolf (PH) F
EL5373 Internet Architecture &
EE136
Protocols Lab
EL5463 Introduction to RF/Microwave
EE3604
Integrated Circuits
EL6473 Introduction to VLSI System
CS2204 and EE3114 (formerly EL5473)
Design
Knowledge of C, Pascal or other programming
EL6483 Real Time Embedded Systems language and a basic understanding of computer
architecture (formerly EL5483)
EL6463 Advanced Hardware Design
EL5533 / PH5533 Physics of
Nanoelectronics
EL5613 Introduction to Electric Power
EE2013
Systems
EL5623 Finite Elements For Electrical
Engineering
EL5663 / PH5663 Physics of
PH2004
Alternative Energy
EL5673 Electronic Power Supplies
EL5733 RF and Microwave Systems
Engineering
EL5753 Introduction to Plasma
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Prof. Francisco De Leon F
Prof. Francisco De Leon As needed
Prof. Edward Wolf (PH) S
EE3824 or equivalent
Prof. Dariusz
Czarkowski
F
EE3604
Prof. Spencer Kuo
F
EE3604
Prof. Spencer Kuo
as needed
Engineering
EL6013 Digital Communications
EE3404 and EL6303 (Recently revised)
Prof. Elza Erkip
F
EL6023 Wireless Communications
EL6013 (Recently revised)
Prof. I-Tai Lu
S
EL6063 Information Theory
EL6113 Digital Signal Processing I
Graduate status and EL6303
Prof. Elza Erkip
As needed
EE3054 (Recently revised)
Prof. Ivan Selesnick
F,S
EL6303 and EL5123
(to be combined with EL5123 and named Image and
Video Processing, requiring EL6113, revised course to
be first offered in S15)
Prof. Yao Wang
S
EL5213
Prof. Farshad Khorrami
S
Graduate status and EL5253 or EL6253
Prof. Zhong-Ping Jiang
S
Graduate status and EE3064
Prof. Zhong-Ping Jiang
F
Graduate status and EE3054
Prof. Zhong-Ping Jiang
F,S
Graduate status and MA3012 (Recently revised)
Prof. Unnikrishna Pillai
F,S
EL6303
Prof. Unnikrishna Pillai
S
EL6383 High-Speed Networks
EL6413 Analog and High Frequency
Amplifier Design
EL6433 Digital Integrated Circuit
Design
Graduate status and EL5373
Prof. Kang Xi
S
Prof. Michael Knox
as needed
Prof. Michael Knox
as needed
EL6443 VLSI System and
Architecture Design
EL6453 Advances in Reconfigurable
Systems
EL6463 Advanced Hardware Design
EL6473 Introduction to VLSI System
Design
EL6473 (formerly EL5473) or instructor’s permission
Prof. Ramesh Karri
S
Prof. Ramesh Karri
as needed
CS1124, CS2214 and EE2004 (formerly EL5493)
Prof. Ramesh Karri
F
CS2204 and EE3114 (formerly EL5473)
Prof. Ramesh Karri
F
Prof. Ramesh Karri
S
as needed
EL6123 Video Processing
EL6213 System Modeling, analysis &
Design
EL6233 System Optimization Method
EL6243 System Theory and Feedback
Control
EL6253 Linear Systems
EL6303 Probability and Stochastic
Processes
EL6333 Detection and Estimation
Theory
Graduate status, EE3114 and EE3124
Graduate status and EL6413
EL6463 (formerly EL5493)
Knowledge of C, Pascal or other programming
EL6483 Real Time Embedded Systems language and a basic understanding of computer
architecture (formerly EL5483)
EL6493 Digital VLSI System Testing
CS2204 or equivalent
Prof. Ramesh Karri
EL6513 Solid State Electronic Devices
Graduate status, or undergraduate with GPA>=3.0 and
MA-UY 2034 and PH-UY 2023 (new course)
Prof. Davood Shahrjerdi F
EL6583 Fiber Optic Communications
PH4474 or EE3604
Prof. Spencer Kuo
S
EL6603 Power Electronics
Graduate status, EE3054 and EE3124
Prof. Zivan Zabar
F, every two
years
Graduate status
Prof. Francisco De Leon as needed
Graduate status and EL5613
Prof. Dariusz
Czarkowski
as needed
Graduate status and EL5613 or equivalent
Prof. Dariusz
Czarkowski
F, every two
years
EL6653 Power System Stability
Graduate status, EE3064 and EL5613
Prof. Francisco De Leon
every two
years
EL6663 Distributed Generation
Systems
Graduate status, EE3064 and EL5613 EE3824 and
EL5613or equivalent; co-requisite: EL6603
Prof. Zivan Zabar
S
EL6683 Electric Drives
Graduate status and EE3824 or equivalent (formerly
EL5683)
Prof. Dariusz
Czarkowski
Every two
years
Graduate status and EE3604
Prof. Nirod Das
F
Graduate status and EL6713 or EE3604 with grade B
or better
Prof. Nirod Das
S
EL6613 Electrical Transmission &
Distribution Systems
EL6623 Power Systems Economics
and Planning
EL6633 Transients, Surges and Faults
in Power Systems
El 6713 Electromagnetic Theory and
Applications
EL6723 Electromagnetic Radiation
and Antennas
15
EL6813 / BE6203 Medical Imaging I
EL6113. EL5123 (or new EL6123) desired
(formerly EL5823)
Prof. Yao Wang
F
EL7133 Digital Signal Processing II
EL6113 (Revised content)
Prof. Ivan Selesnick
S
Graduate status and EL6253
Prof. Zhong-Ping Jiang
S
EL6303
Prof. Shivendra Panwar
Every 3
semesters
Graduate status and EL5373 and knowledge of data
structures (CS6033)
Prof. Yong Liu
Every 3
semesters
EL7373 High Performance Switches
and Routers
Graduate status and EL5373
Prof. Jonathan Chao
Every 3
semesters
EL8223 Applied Nonlinear Control
Graduate status, EE3064 and EL6253 or equivalent
Prof. Zhong-Ping Jiang
F, every two
years
EL8233 Optimal Control Theory
Graduate status, EL6233 and EL6253
Prof. Zhong-Ping Jiang
as needed
Graduate status and EL7253 or instructor’s permission
Prof. Farshad Khorrami
F, every two
years
EL7253 State Space Design For Linear
Control Systems
EL7353 Communication Networks I:
Analysis, Modeling and Performance
EL7363 Communications Networks II:
Design and Algorithms
EL8253 Large Scale Systems and
Decentralized Control
EL9013-9093 Selective Topics in
Communications
EL9113-9193 Selected Topics in
Signal Processing
EL9213-9293 Selected Topics in
Control Engineering
EL9313-9393 Selected Topics in
Telecommunications and Networking
EL9413-9493 Selected Topics in
Computer Electronic Devices and
Systems
EL9513-9593 Selected Topics in
Electro-Optics, Quantum Electronics
and Material Science
EL9613-9693 Selected Topics in
Power Engineering
EL9713-9793 Selected Topics in
Electrodynamics, Wave Phenomena
and Plasmas
EL9900 Seminar in Electrical and
Computer Engineering
CP9911,9921,9941,9951 Internships,
EL9933 Readings in Electrical
Engineering
EL9941 Advanced Projects III
EL9953 Advanced Projects I
EL9963 Advanced Projects II
Specified when offered
Specified when offered
Specified when offered
Specified when offered
Specified when offered
Specified when offered
Specified when offered
Specified when offered
Students must secure advisor and approval, 1.5 credits
each
Students must secure advisor and approval
Students must secure advisor and approval, 1.5 credits
Students must secure advisor and approval
Students must secure advisor and approval
EL997x MS Thesis in Electrical &
Computer Engineering
Students must secure advisor and approval
EL999x PhD Dissertation in Electrical
Engineering Dept.
Passing Qualifying Examination
Must register continuously after the first semester
registered, must register at least 3 credits/semester
16
V.
FACULTY ROSTER BY AREAS OF SPECIALIZATION IN
ELECTRICAL AND COMPUTER ENGINEERING (ECE)
Communications and Networking
Jonathan Chao
ECE Dept. Head, Professor, Ph.D
High-Speed Routers,
Network Security
Elza Erkip
Professor, Ph.D.
Wireless Communications,
Communication and Information Theory
Michael Knox
Industry Associate Professor, Ph.D.
Wireless Communications and Analog Circuits
Thanasis Korakis
Research Assistant Professor, Ph.D.
Communication Networks
Yong Liu
Associate Professor, Ph.D.
Communication Networks
Pei Liu
Research Assistant Professor, Ph.D.
Communication Networks
I-Tai Lu
Professor, Ph.D.
Wave Propagation, Underwater
Acoustics, Wireless Communications
Shivendra S. Panwar
CATT Director, Professor, Ph.D.
Telecommunication Network
Design and Modeling
S. Unnikrishna Pillai
Professor, Ph.D.
Signal Processing, Spectrum Estimation, System Identification
Sundeep Rangan, Ph.D
Associate Professor, Ph.D.
Wireless communications, Information Theory,
Signal Processing
Theodore (Ted) S. Rappaport
NYU WIRELESS Director,
Professor, Ph.D
Radio Wave Propagation, Wireless Comm. System Design,
Broadband Wireless Comm. Circuits, Radiology
Peter Voltz
Associate Professor, Ph.D.
Communications, Signal Processing
Kang Xi
Industry Associate Professor, Ph.D.
Communication Networks
Computer Engineering and VLSI
Jonathan Chao
ECE Dept. Head, Professor, Ph.D
High-Speed Routers,
Network Security
Ramesh Karri
CAD, Trustworthy Hardware, Reliability, VLSI Testing
17
Professor, Ph.D.
Michaeil Manitakos
Research Assistant Professor, Ph.D.
Assistant Professor at Abu Dhabi
Computer Architecture, Hardware Security
Ozgur Sinanoglu
Research Assistant Professor, Ph.D.
Assistant Professor at Abu Dhabi
VLSI Test, Reliability & Trust, VLSI CAD
Jonathan Viventi
Assistant Professor, Ph.D.
Neuroscience, Flexible Electronics,
Low Power Analog Circuits, Machine Learning
Yang Xu
Research Assistant Professor, Ph.D.
Network Security, High-Speed Router Design,
Network-on-Chip, Network Processors
Electromagnetics and Analog/RF/Biomedical Circuits
Jonathan Chao
ECE Dept. Head, Professor, Ph.D.
High-Speed Routers,
Network Security
Nirod K. Das, Ph.D.
Associate Professor, Ph.D.
MMIC, Antennas, Microwave Photonics
Spencer Szu-pin Kuo
Professor, Ph.D.
Magnetohydrodynamics, Plasmas
Francisco de Leon
Associate Professor, Ph.D.
Analysis of Power Systems,
Electromagnetic Design & Modeling
I-Tai Lu
Professor, Ph.D.
Wave Propagation, Underwater
Acoustics, Wireless Communications
Theodore (Ted) S. Rappaport
NYU WIRELESS Director,
Professor, Ph.D.
Radio Wave Propagation, Wireless Comm. System Design,
Broadband Wireless Comm. Circuits, Radiology
Jonathan Viventi
Assistant Professor, Ph.D.
Neuroscience, Flexible Electronics,
Low Power Analog Circuits, Machine Learning
Energy Systems and Power Electronics
18
Dariusz Czarkowski
Associate Professor, Ph.D.
Power Electronics, Power Quality,
Electric Power Systems
Zhong-Ping Jiang
Professor, Ph.D.
Nonlinear Control Systems
Farshad Khorrami
Professor, Ph.D.
Control Systems and Robotics
Francisco de Leon
Associate Professor, Ph.D.
Analysis of Power Systems,
Electromagnetic Design & Modeling
Zivan Zabar
Professor, Sc.D.
Electric Power Systems and Devices,
Electromagnetic Propulsion
Quanyan Zhu
Assistant Professor, Ph.D.
Control systems, smart systems
Signal Processing, Control and Robotics
Matthew S. Campisi,
Industry Assistant Professor
Signal Processing and Communication,
Biomedical Signal Processing
Zhong-Ping Jiang
Professor, Ph.D.
Nonlinear Control Systems
Farshad Khorrami
Professor, Ph.D.
Control Systems and Robotics
S. Unnikrishna Pillai
Professor, Ph.D.
Signal Processing, Spectrum Estimation, System Identification
Sundeep Rangan, Ph.D
Associate Professor, Ph.D.
Wireless communications, Information Theory,
Signal Processing
Ivan W. Selesnick
Associate Professor, Ph.D.
Signal Processing, Wavelet-Based DSP
Peter Voltz
Associate Professor, Ph.D.
Communications, Signal Processing
Yao Wang
Professor, Ph.D.
Image and Video Processing,
Pattern Recognition
Quanyan Zhu
Assistant Professor, Ph.D.
Control systems, smart systems
19
20
VI. GRADUATE STUDENT ADVISORS
Graduate Program Coordinator & Advisor:
Prof. X. K. Chen
[email protected]
2MTC 10.019
718-260-3056
[email protected]
LC226
718-260-3256
[email protected]
LC254
718-260-4011
[email protected]
2MTC 9.125
718-260-3959
[email protected]
LC214
718-260-3646
[email protected]
LC262
718-260-3192
[email protected]
2MTC 9.114
631-755-4226
[email protected]
2MTC 9.107
718-260-3469
Academic Advisors in Different Programs
MS Electrical Engineering
Prof. Dariusz Czarkowski
MS Computer Engineering:
Prof. Ramesh Karri
MS Telecommunication Networks：
Prof. Yong Liu
MS Systems Engineering
Prof. Zhongping Jiang
MS Electrophysics:
Prof. Nirod Das
MEng (Wireless Innovations)
Prof. I-Tai Lu
Ph.D. EE
Prof. Yao Wang
For general inquiry and course advising regarding all graduate programs in ECE, please contact Dr. X. K. Chen first.
For specific academic questions pertaining to a particular program, please consult faculty advisors listed above.
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