Department of Electrical and Computer Engineering, Building 380, Room 101
Telephone: (805) 893-2269 or (805) 893-8292
Web site: www.ece.ucsb.edu
Chair: Luke Theogarajan
Vice Chair of Graduate Studies: Clint Schow
Vice Chairs of Undergraduate Studies: Shiv Chandrasekaran (EE), Yogananda Isukapalli (CE)
Overview
Electrical and Computer Engineering is a broad field encompassing many diverse areas such as computers and digital systems, control, communications, computer engineering, electronics, signal processing, electromagnetics, electro-optics, physics and fabrication of electronic and photonic devices. As in most areas of engineering, knowledge of mathematics and the natural sciences is combined with engineering fundamentals and applied to the theory, design, analysis, and implementation of devices and systems for the benefit of society.
The Department of Electrical and Computer Engineering offers programs leading to the degrees of bachelor of science in electrical engineering or bachelor of science in computer engineering. (Please see the “Computer Engineering” section for further information.) The undergraduate curriculum in electrical engineering is designed to provide students with a solid background in mathematics, physical sciences, and traditional electrical engineering topics as presented above. A wide range of program options, including computer engineering; microwaves; communications, control, and signal processing; and semiconductor devices and applications, is offered. The department’s Electrical Engineering undergraduate program is accredited by the Engineering Accreditation Commission of ABET, http://www.abet.org. It is one of the degrees recognized in all fifty states as leading to eligibility for registration as a professional engineer.
Graduate studies leading to the M.S. and Ph.D. degrees in Electrical and Computer Engineering are offered in three major areas of specialization: computer engineering; communications, control, and signal processing; and electronics and photonics.
The undergraduate major in Electrical Engineering prepares students for a wide range of positions in business, government, and private industrial research, development, and manufacturing organizations. The graduate programs offer educational opportunities at an advanced level, leading at the M.S. level to increased career opportunities in the foregoing positions, and at the Ph.D. level to careers in research and teaching and positions of professional leadership.
Students who complete a major in electrical engineering may be eligible to pursue a California teaching credential. Interested students should consult the credential advisor in the Graduate School of Education.
Under the direction of the Associate Dean for Undergraduate Studies, academic advising services are jointly provided by advisors in the College of Engineering, as well as advisors in the department. Students who plan to change to a major in the department should consult the ECE student office. Departmental faculty advisors are assigned to students to assist them in choosing senior elective courses.
Counseling is provided to graduate students through the ECE graduate advisor. Individual faculty members are also available for help in academic planning.
Mission Statement
The Department of Electrical and Computer Engineering seeks to provide a comprehensive, rigorous and accredited educational program for the graduates of California’s high schools and for postgraduate students, both domestic and international. The department has a dual mission:
Education. We will develop and produce excellent electrical and computer engineers who will support the high-tech economy of California and the nation. This mission requires that we offer a balanced and timely education that includes not only strength in the fundamental principles but also experience with the practical skills that are needed to contribute to the complex technological infrastructure of our society. This approach will enable each of our graduates to continue learning throughout an extended career.
Research: We will develop relevant and innovative science and technology through our research that addresses the needs of industry, government and the scientific community. This technology can be transferred through our graduates, through industrial affiliations, and through publications and presentations.
We provide a faculty that is committed to education and research, is accessible to students, and is highly qualified in their areas of expertise.
Educational Objectives
The educational objectives of the Electrical Engineering Program identify what we hope that our graduates will accomplish within a few years after graduation.
We expect our graduates to make positive contributions to society in fields including, but not limited to, engineering.
We expect our graduates to have acquired the ability to be flexible and adaptable, showing that their educational background has given them the foundation needed to remain effective, take on new responsibilities and assume leadership roles.
We expect some of our graduates to pursue their formal education further, including graduate study for master’s and doctoral degrees.
Program Outcomes
The EE program expects our students upon graduation to have:
Acquired strong basic knowledge and skills in those fundamental areas of mathematics, science, and electrical engineering that are required to support specialized professional training at the advanced level and to provide necessary breadth to the student’s overall program of studies. This provides the basis for lifelong learning.
Experienced in-depth training in state-of-the-art specialty areas in electrical engineering. This is implemented through our senior electives. Students are required to take two sequences of at least two courses each at the senior level.
Benefited from imaginative and highly supportive laboratory experiences where appropriate throughout the program. The laboratory experience will be closely integrated with coursework and will make use of up-to-date instrumentation and computing facilities. Students should experience both hardware-oriented and simulation-oriented exercises.
Experienced design-oriented challenges that exercise and integrate skills and knowledge acquired in several courses. These may include design of components or subsystems with performance specifications. Graduates should be able to demonstrate an ability to design and conduct experiments as well as analyze the results.
Learned to function well in teams. Also, students must develop communication skills, written and oral, both through team and classroom experiences. Skills including written reports, webpage preparation, and public presentations are required.
Completed a well-rounded and balanced education through required studies in selected areas of fine arts, humanities, and social sciences. This provides for the ability to understand the impact of engineering solutions in a global and societal context. A course in engineering ethics is also required of all undergraduates.
Laboratory Facilities
In addition to formal classroom lectures and studies, the department places strong emphasis on the inclusion of laboratory and computational experience in a student’s program of study. To support this experience, the department and the campus maintain an extensive complement of relevant laboratory and computational facilities. Instructional laboratory facilities are available to support undergraduate courses in circuits, electronics, digital systems, communications, control, signal and image processing, microwaves, and solid-state device fabrication. Students may access microcomputers and workstations in the Microcomputer Laboratory or the College of Engineering ECI and CAD Laboratories.
The Department also maintains modern well-equipped facilities for research in communications, control, signal processing, image processing, scientific computation, VLSI design and testing, computer architecture, fault-tolerant computing, microwaves, optoelectronics, and solid state microelectronics. All research laboratories include or have access to modern computer facilities. Workstations in the various research laboratories have access via a local area network to a wide range of computing resources. The solid state research facilities include laboratories for crystal growth by molecular beam epitaxy and metal-organic CVD, microfabrication and processing, analog and digital integrated circuit design, and compound-semiconductor optoelectronic device and materials research.
Faculty
Mahnoosh Alizadeh, PhD, UC Davis, Associate Professor (Smart Power Grids, Demand Response and Renewable Energy Integration, Cyber-Physical Systems, Network Control)
Kaustav Banerjee, PhD, UC Berkeley, Professor (high performance VLSI and mixed signal system-on-chip designs and their design automation methods; single electron transistors; 3D and optoelectronic integration)
Ilan Ben-Yaacov, PhD, UC Santa Barbara, Senior Lecturer SOE (semiconductor device physics and electronic devices, power electronics, engineering education)
Dan Blumenthal, PhD, University of Colorado, Professor (fiber-optic networks, wavelength and subcarrier division multiplexing, photonic packet switching, signal processing in semiconductor optical devices, wavelength conversion, microwave photonics)
John Bowers, PhD, Stanford University, Professor (high-speed photonic and electronic devices and integrated circuits, fiber optic communication, semiconductors, laser physics and mode-locking phenomena, compound semiconductor materials and processing) Joint appointment with: MATRL TMP
Forrest Brewer, PhD, University of Illinois, Professor (VLSI and computer system design automation, theory of design and design representations, symbolic techniques in high level synthesis)
Jim Buckwalter, PhD, California Institute of Technology, Professor (RF and millimeter-wave integrated circuits and systems, optoelectronic integrated circuits, energy-efficient circuits, CMOS and III-V integrated circuit processes)
Katie Byl, PhD, Massachusetts Institute of Technology, Associate Professor (robotics, autonomous systems, dynamics, control, manipulation, locomotion, machine learning)
Kerem Camsari, Assistant Professor
Shivkumar Chandrasekaran, PhD, Yale University, Professor (numerical analysis, numerical linear algebra; scientific computation)
Nadir Dagli, PhD, Massachusetts Institute of Technology, Professor (design, fabrication, and modeling of photonic integrated circuits, ultrafast electrooptic modulators, solid state microwave and millimeter wave devices; experimental study of ballistic transport in quantum confined structures)
Steven Denbaars, PhD, University of Southern California, Professor (metalorganic vapor phase epitaxy, optoelectronic materials, compound semiconductors, indium phosphide and gallium nitride, photonic devices) Joint appointment with: MATRL
Jerry Gibson, PhD, Southern Methodist University, Professor (digital signal processing, data, speech, image and video compression, and communications via multi-use networks, data embedding, adaptive filtering)
Joao Hespanha, PhD, Yale University, Professor (hybrid and switched systems; multi-agent control systems; game theory; optimization; distributed control over communication networks also known as networked control systems; coordination and control of groups of unmanned air vehicles; the use of vision in)
Yogananda Isukapalli, PhD, UC San Diego, Senior Lecturer SOE (Low power hardware design, Multi-antenna wireless communications, Transmit beam forming, Vector quantization, Performance analysis of communication systems)
Haewon Jeong, Assistant Professor
Bongjin Kim, Assistant Professor
Jonathan Klamkin, PhD, UC Santa Barbara, Professor (Integrated Photonics, Silicon Photonics, Optical Communications, Nanophotonics, Microwave Photonics, Compound Semiconductors, Photonic Integration Techniques, Electronic-photonic Integration)
Hua Lee, PhD, UC Santa Barbara, Professor (image system optimization, high-performance image formation algorithms, synthetic-aperture radar and sonar systems, acoustic microscopy, microwave nondestructive evaluation, dynamic vision systems)
Peng Li, PhD, Carnegie Mellon University, Professor (Integrated circuits and systems, learning algorithms and circuits for brain-inspired computing, electronic design automation, computational brain modeling, hardware machine learning systems)
Upamanyu Madhow, PhD, University of Illinois, Urbana, Professor (spread-spectrum and multiple-access communications, space-time coding, and internet protocols)
B. S. Manjunath, PhD, University of Southern California, Professor (image processing, computer vision, pattern recognition, neural networks, learning algorithms, content based search in multimedia databases)
Jason Marden, PhD, UC Los Angeles, Professor (Feedback Control and Systems Theory; Game Theoretic Methods for Coordination of Large Scale Distributed Systems; Application to Distributed Traffic Routing, Dynamic Resource Allocation, Queueing Systems, and Sensor Networks)
Nina Miolane, Assistant Professor
Umesh Mishra, PhD, Cornell University, Professor (high-speed transistors, semiconductor device physics, quantum electronics, wide band gap materials and devices, design and fabrication of millimeter-wave devices, in situ processing and integration techniques)
Galan Moody, PhD, University of Colorado-Boulder, Associate Professor (Quantum Photonics; Nanoscale Quantum Systems and Devices including Quantum Dots and 2D Materials; Quantum Light Generation, Manipulation, and Detection; Hybrid Quantum Systems; Valleytronics)
Yasamin Mostofi, PhD, Stanford University, Professor (RF sensing, robotics, wireless systems, multi-agent systems, mobile sensor networks)
Chris Palmstrom, PhD, Leeds University, Professor (atomic level control of interfacial phenomena, in-situ STM, surface and thin film analysis, metallization of semiconductors, dissimilar materials epitaxial growth, molecular beam and chemical beam epitaxial growth of metallic compounds) Joint appointment with: MATRL
Behrooz Parhami, PhD, UC Los Angeles, Professor (parallel architectures and algorithms, computer arithmetic, computer design, dependable and fault-tolerant computing)
Ramtin Pedarsani, PhD, UC Berkeley, Associate Professor (information and coding theory, machine learning, applied probability, network control, transportation systems, game theory)
Yao Qin, Assistant Professor
Lawrence R. Rabiner, PhD, Massachusetts Institute of Technology, Professor (digital signal processing, intelligent human-machine interaction, speech processing and recognition, telecommunications)
Mark Rodwell, PhD, Stanford University, Professor (heterojunction bipolar transistors, high frequency integrated circuit design, electronics beyond 100 GHz)
Kenneth Rose, PhD, California Institute of Technology, Professor (information theory, source and channel coding, image coding, communications, pattern recognition)
Loai Salem, PhD, UC San Diego, Assistant Professor (power management integrated circuits, power electronics using new devices/passives, low-power mixed-signal circuits)
Clint Schow, PhD, University of Texas, Professor (Optoelectronic/Electronic Co-Design and Integration, Equalization Techniques for High-Speed Optical Links, Photonic Switching, Optoelectronic Devices, Integrated Transceiver Packaging)
Jon Schuller, PhD, Stanford University, Professor (nanophotonics, organic optoelectronics, plasmonics, metamaterials)
Pradeep Sen, PhD, Stanford University, Professor (computer graphics and imaging)
Spencer Smith, PhD, UC Los Angeles, Associate Professor (neuroengineering, neuroscience, optics, imaging, visual processing, neuronal circuitry)
Dmitri Strukov, PhD, Stony Brook University, Professor (hybrid circuits, nanoelectronics, resistance switching devices, memristors, digital memories, programmable circuits, bio-inspired computing)
Andrew Teel, PhD, UC Berkeley, Professor (control design and analysis for nonlinear dynamical systems, input-output methods, actuator nonlinearities, applications to aerospace problems)
Luke Theogarajan, PhD, Massachusetts Institute of Technology, Professor (low-power analog VLSI, biomimetic nanosystems, neural prostheses, biosensors, block co-polymer synthesis, self-assembly, and microfabrication)
Niels Volkmann, Professor Joint appointment with: BMSE BIOE
Li-C. Wang, PhD, University of Texas, Austin, Professor (design verification, testing, computer-aided design of microprocessors)
Bob York, PhD, Cornell University, Professor (high-power/high-frequency devices and circuits, quasi-optics, antennas, electromagnetic theory, nonlinear circuits and dynamics, microwave photonics) Joint appointment with: TMP
Qian Yu, Assistant Professor
Zheng Zhang, PhD, Massachusetts Institute of Technology, Associate Professor (Photonic, Electronic, and MEMS Design Automation; Modeling and Verification of Robots & Autonomous Driving; High-Dimensional Data Analysis and Machine Learning; Magnetic Resonance Imaging (MRI))
Emeriti Faculty
Rod Alferness, PhD, University of Michigan
Steven Butner, PhD, Stanford University
Kwang-Ting Tim Cheng, PhD, UC Berkeley
Larry Coldren, PhD, Stanford University (semiconductor integrated optoelectronics, vertical-cavity lasers, widely-tunable lasers, optical fiber communication, growth and planar processing techniques, molecular beam epitaxy, microfabrication) Joint appointment with: MATRL
Jorge Fontana, PhD, Stanford University
Allen Gersho, PhD, Cornell University
Glenn Heidbreder, D Eng, Yale University
Evelyn Hu, PhD, Columbia University Joint appointment with: MATRL
Ronald Iltis, PhD, UC San Diego
Petar Kokotovic, PhD, USSR Academy of Sciences
Herbert Kroemer, PhD, University of Göttingen, Germany (general solid-state and device physics, heterostructures, molecular beam epitaxy, compound semiconductor materials and devices, superconductivity) Joint appointment with: MATRL
Steve Long, PhD, Cornell University
Malgorzata Marek-Sadowska, PhD, Warsaw University of Technology
P. Michael Melliar-Smith, PhD, University of London
James Merz, PhD, Harvard University
Sanjit Mitra, PhD, UC Berkeley
Louise Moser, PhD, University of Wisconsin
Venkatesh Narayanamurti, PhD, Cornell University
Pierre Petroff, PhD, UC Berkeley Joint appointment with: MATRL
John Shynk, PhD, Stanford University
Pochi Yeh, PhD, California Institute of Technology
Affiliated Faculty
Jonathan Balkind
Bassam Bamieh, PhD
Elizabeth Belding, PhD
Michael Beyeler, PhD
Francesco Bullo, PhD
Ranjit Deshmukh
Yufei Ding, PhD
Miguel Eckstein, PhD
Chandra Krintz, PhD
Eric McFarland, PhD
Shuji Nakamura, PhD
Timothy Sherwood, PhD
Misha Sra, PhD
Yu-Xiang Wang
William Wang, PhD