Graduate Division

Electrical Engineering Ph.D.

Section 1

Overview

RESEARCH FOCUS AREAS

  • Electronic devices and circuits
  • Optics, nano optics and microscopy
  • Communications
  • Signal processing
  • Machine vision
  • Power electronics
  • Systems engineering

Electrical Engineering Concentration: researching optical and solid-state devices, including quantum electronics and optics, integrated electro-optics and acoustics, design of semiconductor devices and materials, analog and mixed-signal IC design, radio frequency, antennas, microwave and microwave devices, and scanning acoustic microscopy; systems engineering and signal processing, including communication theory, machine vision, signal processing, power electronics, neural networks, communications networks, systems engineering and control systems

What Sets Us Apart?

The UCI Department of Electrical Engineering and Computer Science has two key goals:

  • Advance the minds of future leaders by providing the finest education to our students
  • Consistently meet industry needs by developing cutting-edge technology.

EECS, home to more than 50 percent of the Samueli School’s engineering student body, has internationally renowned faculty who are top experts in their fields. The department is committed to an integrated view of the electrical engineering field – ranging from microscopic (and even nanoscale) devices all the way to architectures, communications and software design – everything from electrons to programs. More than 20 research groups focus on areas as diverse as radio frequency circuits and antennas, optoelectronics, embedded systems, computer networks, middleware, real-time systems, micro electromechanical systems and nanotechnology, communication systems, machine intelligence, and neural and soft computing. Physical and natural sciences are applied to the theory, design and implementation of devices and systems for the benefit of our society.

RESEARCH & EXPENDITURES

$10.4M
2015-16 Research Expenditures

3 Research Thrusts

  • Circuits and Devices
  • Computer Science and Engineering
  • Systems

4 World-class Center Affiliations

  • Integrated Nanosystems Research Facility
  • Center for Pervasive Communications & Computing
  • California Institute for Telecommunications and Information Technology
  • Center for Embedded and Cyberphysical Systems

FACULTY & RECOGNITION

  • 37 Full-time Faculty
  • 22 Affiliated Faculty
  • 3 National Academy of Inventors
  • 1 Presidential Young Investigator Award
  • 10 NSF CAREER Awards
  • 3 Endowed Chairs
  • 2 Chancellor’s Professors

STUDENT POPULATION

374 Graduate Students
M.S., Ph.D. degrees
Electrical and Computer Engineering
Networked Systems
Masters of Embedded and Cyberphysical Systems

Quick Facts

Program Type

Doctoral Program

Normative Time to Degree

5 years

Capstone Type

Dissertation

Accordion Section

Admissions Requirements

What is the minimum GPA to apply?

The required minimum undergraduate GPA to apply is a 3.0 on a 4.0 U.S. Scale.

If my GPA falls under the minimum requirement(s) am I still able to apply?

Yes. You can still apply however, please keep in mind that you will be up against a large pool of other applicants that do meet and exceed the minimum requirements.

Am I able to apply prior to completing my Bachelors or Master’s degree?

Yes. You will need to request and submit an unofficial transcript from the University in which you are attending, through the current semester/quarter. For application review purposes only, scan and upload copies of transcripts for all institutions attended since high school. In the online application, you will be prompted to upload your scanned documents. Please upload both the front and back sides of the transcript. Uploaded transcripts should be recent and include the following: your name, dates of attendance, grades/marks received, credits and grading legend. UCI reserves the right to require official transcripts at any time during the admission process, and rescind any offer of admission made if discrepancies between uploaded and official transcript(s) are found. Official transcripts will be requested if and when you are admitted and decide to attend UCI. Do not send official transcripts until this time, unless you are requested to do so.

Are prerequisite courses required prior to applying?

If admitted, a new student might also be encouraged to take prerequisite courses if necessary, however to apply prerequisite courses are NOT a requirement to be considered.

My background is in a different field. Would I still be considered for admission? And are prerequisite courses required prior to applying?

An applicant will be considered regardless of academic background. However, a basis of knowledge is important when considering any graduate studies. Applicants are encouraged to demonstrate interest and potential for research and academic success in their statement of purpose on their application.

Am I able to apply to multiple programs at for the same admission cycle?

Yes, you can. You will need to submit a separate online application, application fee, letters of recommendation, and transcripts for each program. However, you only need to submit test scores, such as GRE or TOEFL once, then UCI's Graduate Division will distribute the scores electronically to each program's application.

Are financial documents required when applying?

No. International applicants may be required to submit proof of funding as part of the application process at a later date.  You will be notified if you are required to submit proof of funding.

If you have any further questions that may not have been answered from this page, please visit UCI's Graduate Division FAQ page

Financial Support

A limited amount of financial aid is available to EECS applicants.

There are three main sources of financial aid:
 
Fellowships

A limited number of fellowships are available. When you apply online, check the box indicating interest in financial aid and you will automatically be considered for a fellowship. No further request is needed.
 
Teaching Assistantships

A limited number of TAships are reserved for incoming graduate students each year. In order to qualify for a TAship, one of the following conditions must be met:


Graduate Student Researcher

Professors sometimes support students with their own research funds. Applicants should contact individual faculty members whose research interests are similar to their own.

Tuition & Fees

Graduate/Credential Student Fees 2018-19

  Fall 2018 Winter 2019 Spring 2019 Annual
Student Services Fee 376.00 376.00 376.00 1,128.00
Tuition 3,814.00 3,814.00 3,814.00 11,442.00
Assoc. Grad Students Fee 9.00 9.00 9.00 27.00
Student Center Fee 137.88 137.88 137.87 413.63
Bren Events Center Fee 23.00 23.00 23.00 69.00
Recreation Center Fee 88.00 88.00 88.00 264.00
eTech Fee * 60.00 60.00 60.00 180.00
Document Fee † 80.00 0.00 0.00 80.00
Student Health Insurance 1,348.00 1,347.00 1,347.00 4,042.00
Total California Resident $5,795.88 $5,794.88 $5,794.87 $17,385.63
Nonresident Supplemental Tuition 5,034.00 5,034.00 5,034.00 15,102.00
Total Nonresident $10,829.88 $10,828.88 $10,828.87 $32,487.63

Posted 10 August 2018 at http://reg.uci.edu/fees/2018-2019/graduate.html

The tuition, fees, and charges posted to your billing statement or account are estimates based on currently approved amounts. These figures may not be final. Actual tuition, fees, and charges are subject to change by the Regents of the University of California and could be affected by increases or reductions in State funding, or other developments. Accordingly, final approved levels (and thus your final balance due) may differ from the amounts shown.

The non-refundable eTech Fee is required of all students and is used to support the maintenance and improvement of existing education technology, and new services and capabilities. The eTech fee is listed separately as the charged amount varies based on the amount of undergraduate units the student is enrolled in and is assessed later in the term than the other fees listed. The fee is $4 per unit of undergraduate lecture course, up to a maximum amount of $60 (or 15 units) per quarter. It will be assessed after the third week of instruction. The $60 eTech Fee included on this chart reflects the maximum possible fee.

† The Document Fee provides lifetime access to official transcripts and academic verifications without a fee for in-person pickup or delivery by USPS. In addition, there is no fee for mailing the initial diploma. Effective Fall 2018, new undergraduate, professional, and graduate students are assessed the one-time document fee. Eligible students are able to use financial aid to cover the Document Fee.

Core Faculty

Mohammad A. Al Faruque, Ph.D. University of Kaiserslautern, Assistant Professor of Electrical Engineering and Computer Science (system-level design, embedded systems, cyber-physical-systems, multi-core systems)


Nicolaos G. Alexopoulos, Ph.D. University of Michigan, Professor Emeritus of Electrical Engineering and Computer Science


Ender Ayanoglu, Ph.D. Stanford University, Professor of Electrical Engineering and Computer Science (communication systems, communication theory, communication networks)


Nader Bagherzadeh, Ph.D. University of Texas at Austin, Professor of Electrical Engineering and Computer Science; Computer Science (parallel processing, computer architecture, computer graphics, VLSI design)


Neil J. Bershad, Ph.D. Rensselaer Polytechnic Institute, Professor Emeritus of Electrical Engineering and Computer Science


Ozdal Boyraz, Ph.D. University of Michigan, Associate Professor of Electrical Engineering and Computer Science (silicon photonics and optical communications systems)


Peter J. Burke, Ph.D. Yale University, Professor of Electrical Engineering and Computer Science; Biomedical Engineering; Chemical Engineering and Materials Science (nano-electronics, bio-nanotechnology)


Filippo Capolino, Ph.D. University of Florence, Associate Professor of Electrical Engineering and Computer Science (optics/electromagnetics in nanostructures and sensors, antennas/microwaves, RF and wireless systems)


Aparna Chandramowlishwaran, Ph.D. Georgia Institute of Technology, Assistant Professor of Electrical Engineering and Computer Science (parallel programming models, domain specific compilers, algorithm-architecture co-design, n-body particle methods, scientific and high-performance computing)


Pai H. Chou, Ph.D. University of Washington, Professor Emeritus of Electrical Engineering and Computer Science; Computer Science (embedded systems, wireless sensor systems, medical devices, real-time systems, hardware/software co-synthesis)


Jose B. Cruz, Ph.D. University of Illinois at Urbana-Champaign, Professor Emeritus of Electrical Engineering and Computer Science


Franco De Flaviis, Ph.D. University of California, Los Angeles, Professor of Electrical Engineering and Computer Science (microwave systems, wireless communications, electromagnetic circuit simulations)


Brian C. Demsky, Ph.D. Massachusetts Institute of Technology, Associate Professor of Electrical Engineering and Computer Science; Computer Science (compiler programming, language software engineering, fault tolerance)


Rainer B. Doemer, Ph.D. Dortmund University, Professor of Electrical Engineering and Computer Science; Computer Science (system-level design, embedded computer systems, design methodologies, specification and modeling languages)


Ahmed Eltawil, Ph.D. University of California, Los Angeles, Professor of Electrical Engineering and Computer Science (design of system and VLSI architectures for broadband wireless communication, implementations and architectures for digital processing)


Leonard A. Ferrari, Ph.D. University of California, Irvine, Professor Emeritus of Electrical Engineering and Computer Science


Daniel D. Gajski, Ph.D. University of Pennsylvania, Professor Emeritus of Electrical Engineering and Computer Science (embedded systems, software/hardware design, design methodologies and tools, science of design)


Jean-Luc Gaudiot, Ph.D. University of California, Los Angeles, Professor of Electrical Engineering and Computer Science; Computer Science (parallel processing, computer architecture, processor architecture)


Michael M. Green, Ph.D. University of California, Los Angeles, Associate Dean for Undergraduate Student Affairs of The Henry Samueli School of Engineering and Professor of Electrical Engineering and Computer Science (analog/mixed-signal IC design, broadband circuit design, theory of nonlinear circuits)


Glenn E. Healey, Ph.D. Stanford University, Professor of Electrical Engineering and Computer Science (machine vision, computer engineering, image processing, computer graphics, intelligent machines)


Payam Heydari, Ph.D. University of Southern California, Professor of Electrical Engineering and Computer Science (design and analysis of analog, RF and mixed-signal integrated circuits, analysis of signal integrity and high-frequency effects of on-chip interconnects in high-speed VLSI circuits)


Syed A. Jafar, Ph.D. Stanford University, Professor of Electrical Engineering and Computer Science (wireless communication and information theory)


Hamid Jafarkhani, Ph.D. University of Maryland, College Park, Conexant-Broadcom Chair in the Center for Pervasive Communications and UCI Chancellor's Professor of Electrical Engineering and Computer Science (communication theory, coding, wireless networks, multimedia networking)


Pramod Khargonekar, Ph.D. University of Florida, UCI Distinguished Professor of Electrical Engineering and Computer Science (systems and control theory; learning and intelligent systems; applications to renewable energy and smart grid, neural engineering, and economics; leadership and creativity; technology and society)


Stuart A. Kleinfelder, Ph.D. Stanford University, Professor of Electrical Engineering and Computer Science (first integrated sensor/readout arrays for visual, IR, X-ray, charged particles)


Fadi J. Kurdahi, Ph.D. University of Southern California, Director, Center for Embedded Computer Systems and Associate Dean for Graduate and Professional Studies and Professor of Electrical Engineering and Computer Science; Computer Science (VLSI system design, design automation of digital systems)


Tomas Lang, Ph.D. Stanford University, Professor Emeritus of Electrical Engineering and Computer Science


Chin C. Lee, Ph.D. Carnegie Mellon University, Professor of Electrical Engineering and Computer Science (bonding technology, electronic packaging, acoustics, microwaves, semiconductor devices, thermal management)


Henry P. Lee, Ph.D. University of California, Berkeley, Professor of Electrical Engineering and Computer Science (photonics, fiber-optics and compound semiconductors)


Guann-Pyng Li, Ph.D. University of California, Los Angeles, Director of the UCI Division of the California Institute for Telecommunications and Information Technology (Calit2), Director of the Integrated Nanosystems Research Facility and Professor of Electrical Engineering and Computer Science; Biomedical Engineering; Chemical Engineering and Materials Science (high-speed semiconductor technology, optoelectronic devices, integrated circuit fabrication and testing)


Kwei-Jay Lin, Ph.D. University of Maryland, College Park, Professor of Electrical Engineering and Computer Science; Computer Science (real-time systems, distributed systems, service-oriented computing)


Athina Markopoulou, Ph.D. Stanford University, Associate Professor of Electrical Engineering and Computer Science; Computer Science (networking—reliability and security, multimedia networking, measurement and control, design and analysis of network protocols and algorithms, internet reliability and security, multimedia streaming, network measurements and control)


Phillip C-Y Sheu, Ph.D. University of California, Berkeley, Professor of Electrical Engineering and Computer Science; Biomedical Engineering; Computer Science (database systems, interactive multimedia systems)


Jack Sklansky, Sc.D. Columbia University, Professor Emeritus of Electrical Engineering and Computer Science


Keyue M. Smedley, Ph.D. California Institute of Technology, Professor of Electrical Engineering and Computer Science (power electronics, alternative energy power generation, and motion control)


Allen R. Stubberud, Ph.D. University of California, Los Angeles, Professor Emeritus of Electrical Engineering and Computer Science


A. Lee Swindlehurst, Ph.D. Stanford University, Professor of Electrical Engineering and Computer Science (signal processing, estimation and detection theory, applications in wireless communications, geo-positioning, radar, sonar, biomedicine)


Harry H. Tan, Ph.D. University of California, Los Angeles, Professor Emeritus of Electrical Engineering and Computer Science


Chen S. Tsai, Ph.D. Stanford University, UCI Chancellor's Professor of Electrical Engineering and Computer Science (integrated and fiber optics, devices and materials, integrated acoustooptics and magnetooptics, integrated microwave magnetics, Ultrasonic Atomization for Nanoparticles Synthesis, silicon photonics)


Wei Kang (Kevin) Tsai, Ph.D. Massachusetts Institute of Technology, Professor Emeritus of Electrical Engineering and Computer Science


Zhiying Wang, Ph.D. California Institute of Technology, Assistant Professor of Electrical Engineering and Computer Science (information theory, coding for storage, compression and computation for genomic data)


H. Kumar Wickramasinghe, Ph.D. University of London, Henry Samueli Endowed Chair in Engineering and Department Chair and Professor of Electrical Engineering and Computer Science; Biomedical Engineering; Chemical Engineering and Materials Science (nanoscale measurements and characterization, scanning probe microscopy, storage technology, nano-bio measurement technology)

Academic Data

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Students & Alumni